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donc décrit en des
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ces phénomènes, par leur
nature, échappe à l'observation
et, partant, à la science. Pour les méthodologistes, si
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On lui doit la toute première classification des décès,
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Besoin : Au sens strict, étatdéficitaire consécutif à
une privation (parfois
un trop-plein) de l'organisme,
d'ordre biologique ou psychologique. Se manifeste par un état de tension,
une fatigue, de l'héritabilité,
voire de la frustration.
Chez Maslow, ce concept
englobe les besoins de type D et de typeE. De façon général, le concept est
utilisé pour désigner le sentiment de nécessité que ressent un
individu de faire ou d'obtenir une chose.
( ): Voir tableau ci-dessous.
Need, basic need.
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Besoin
d'accomplissement :=
besoin de réalisation.
Achievement motive,
achievement need, achievement motivation, need fulfillment.
BERTILLON, J. (1880). La statistique à la machine. La
Nature, 1109.
NEEL, R.G., TZENG O.C. & BAYSAL C. (1986). Need
achievement in a cross-culture contact study. Revue
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LA GUARDIA, J.G., RYAN, R.M., COUCHMAN, C.E. & DECI,
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McCLELLAND, D.C., ATKINSON, J.W., CLARK, R.A. &
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EISENBERGER, R., JONES, J. R., STINGLHAMBER, F., SHANOCK,
L. & TENGLUND, A. (2005). Optimal flow experiences at
work : For high need achievers alone ? Journal of
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S. (2007). Fakability of different measurement methods for
achievement motivation : questionnaire, semi-projective,
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achievement goal orientations in students’ perceptions of
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Besoin
d’actualisation : Chez Rogers,besoin de s'accomplir, de
réaliser son plein potentiel, d'aller au bout soi, de ses
capacités.=
tendance naturelle à s'accomplir, besoin d'actualisation, besoin
de croissance, bseoin d'accomplissement, besoin de réalisation de
soi, besoin de type E. Self-actualisation.
KLAVETTER, R.E. & MORGAN, R.E. (1967). Stability and
internal consistency of a measure of self-actualization. Psychological
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SMITH, M.B. (1973). On self-actualization. Journal of
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WILSON, S.R. (1997). Self actualization and culture. In D.
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IVTZAN, I. & CONNEELY, R. (2009). Androgyny in the
mirror of self-actualisation and spiritual health. The
Open Psychology Journal, 2, 58-70. [PDF]
Besoin d’'appartenance sociale : Chez Deci
et Ryan, l'un des trois besoins
à l'origine de la motivation. Need affiliation, need of belonging.
LANSING, J.B. & HEYNS, R.W. (1959). Need affiliation
and frequency of four types of communication. Journal
of Abnormal & Social Psychology, 58, 365-372.
OYSERMAN, D., BRICKMAN, D., BYBEE, D. & CELIOUS, A.
(2006). Fitting in matters : Markers of in-group belonging
and academic outcomes. Psychological Science, 17,
854-861.
MEHRABIAN, A. (1970). The development and validation of
measures of affiliative tendency and sensitivity to
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WALTON, G.M. & COHEN, G.L. (2007). A question of
belonging : Race, social fit, and achievement. Journal
of Personality & Social Psychology, 92 (1),
82-96. [PDF]
BAUMEISTER, R.F. & LEARY, M.R. (1995). The need to
belong : Desire for interpersonal attachments as a
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R. (2008). Need for belonging, relationship satisfaction,
loneliness, and life satisfaction. Personality &
Individual Differences, 45, 213-218.
RICHER, S.F. et VALLERAND, R.J. (1998). Construction et
validation de l'Échelle du sentiment d'appartenance
sociale [Construction and validation of a satisfaction's
scale toward high school]. Revue européenne de psychologie
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LAVIGNE, G.L., VALLERAND, R.J. & CREVIER BRAUD, L.
(2011). The fundamental need to belong : On the
distinction between growth and deficit-reduction
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SILVIA, P.J. & KWAPIL, T.R. (2011). Aberrant
asociality : How individual differences in social
anhedonia illuminate the need to belong. Journal of
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LEARY, M.R., KELLY, K.M., COTTRELL, C. &
SCHREINDORFER, L.S. (2013). Construct validity of the need
to belong scale : Mapping the nomological network. Journal
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Besoin
d’amour et d’appartenance : Pour Maslow,
d'appartenir à un groupe (famille, milieu de travail, groupe
d'amis) et d'être aimé par les membres de ce groupe
d'apparteance.Social needs, need to
belong.
Besoin
d'estime : Estime de soi : Pour Maslow,besoin d'être reconnu et apprécié par ses
pairs. Esteem needs, ego needs, need for
positive self-regard.
HEINE, S.J., MARKUS, H.R., LEHMAN, D.R. & KITAYAMA, S.
(1999). Is there a universal need for positive self-regard
? Psychological Review, 106 (4), 766-794. [PDF]
Besoin
de certitude : Quête exagérée d'information dans le
but de hausser son niveau de certitude,
d'éviter toute forme d'ambiguïté.
Need for
closure, cognitive closure.
KRUGLANSKI, A.W., PERI, N. & ZAKAI, D. (1991).
Interactive effects of need for closure and initial
confidence on social information seeking. Social
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VAN KENHOVE, P., VERMEIR I. & VERNIERS, S. (2001). An
empirical investigation of the relationships between
ethical beliefs, ethical ideology, political preference
and need for closure. Journal of Business Ethics, 32,
347-361.
SAROGLOU, V. (2002). Beyond dogmatism : the need for
closure as related to religion. Mental Health,
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HEATON, A.W. & KRUGLANSKI, A.W. (1991). Person
perception by introverts and extraverts under time
pressure : effects of need for closure. Personality
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CHIRUMBOLO, A. (2002). The relationship between need for
cognitive closure and political orientation : the
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WEBSTER, D.M. & KRUGLANSKI, A.W. (1994). Individual
differences in need for cognitive closure. Journal of
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MANNETTI, L., PIERRO, A., KRUGLANSKI, A., TARIS, T. &
BEZINOVIC, P. (2002). A cross-cultural study of the need
for cognitive closure scale : Comparing its structure in
Croatia, Italy, USA and the Netherlands. British
Journal of Social Psychology, 41, 139-156.
NEUBERG, S.L., JUDICE, T.N. & WEST, S.G. (1997). What
the Need for Closure Scale measures and what it does not :
Toward differentiating among related epistemic motives. Journal
of Personality & Social Psychology, 72, 1396-1412.
PIERRO, A., MANNETTI, L., DEGRADA, E., LIVI, S. &
KRUGLANSKI, A.W. (2003). Autocracy bias in informal groups
under need for closure. Personality & Social
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CHIRUMBOLO, A., LIVI, S.N., MANNETTI, L., PIERRO, A. &
KRUGLANSKI, A.W. (2004) Effects of need for closure on
creativity of small groups interactions. European
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WEBSTER, D.M. & KRUGLANSKI, A.W. (1997). Cognitive and
social consequences of the need for cognitive closure.
European Review of Social Psychology, 8 (1),
133-173.
VAN HIEL, A., PANDELAERE, M. & DURIEZ, B. (2004). The
impact of need for closure on conservative beliefs and
racism : Differential mediation by authoritarian
submission and authoritarian dominance. Personality
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KEMMELMEIER, M. (1997). Need for Closure and political
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GOLEC, A., FEDERICO, C., CISLAK, A. & DIAL, J. (2005).
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KRUGLANSKI, A.W., DEGRADA, E., MANNETTI, L., ATASH, M.N.
& WEBSTER, D.M. (1997). Psychological theory testing
versus psychometric nay-saying : Comment on Neuberg et al.
(1997) critique of the Need for Closure Scale. Journal
of Personality & Social Psychology, 73, 1005-1016.
ROETS, A. & VAN HIEL, A. (2006). Need for closure
relations with authoritarianism, conservative beliefs and
racism : The impact of urgency and permanence tendencies.
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SHAH, J.Y., KRUGLANSKI, A.W. & THOMPSON, E.P. (1998).
Membership has its (epistemic) rewards : Need for closure
effects on ingroup bias. Journal of Personality &
Social Psychology, 75 (2), 383-393.
KRUGLANSKI, A.W., PIERRO, A., MANNETTI, L. & DEGRADA,
E. (2006). Groups as epistemic providers : Need for
closure and the unfolding of group-centrism. Psychological
Review, 113 (1), 84-100.
ROETS, A. & VAN HIEL, A. (2006). The dimensional
structure of the need for closure scale : Relationships
with "seizing" and "freezing" processes. Social
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GRADA, E.D., KRUGLANSKI, A.W., MANNETTI, L. & PIERROM,
A. (1999). Motivated cognition and group interaction :
need for closure affects the contents and processes of
collective negotiations. Journal of Experimental
Social Psychology, 35, 346-365.
STADLER, D.R. (2007). Need for closure, the Big Five, and
public self-consciousness. Journal of Social
Psychology, 147, 91-94.
RICHTER, L. & KRUGLANSKI, A.W. (1999). Motivated
search for common ground : Need for closure effects on
audience design in interpersonal communication. Personality
& Social Psychology Bulletin, 25, 1101-1114.
BRANDT, M.J. & REYNA, C. (2010). The Role of Prejudice
and the Need for Closure in ReligiousFundamentalism. Personality & Social Psychology Bulletin, 6, 715–-725.
CHIRUMBOLO, A. & ARENI, A. (2010). Job insecurity
influence on job performance and mental health : Testing
the moderating effect of the need for closure.
Economic & Industrial Democracy, 31 (2)
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WIERSEMA, D.V., VAN DER SCHALK, J. & VAN KLEEF, G.A.
(2013). Who's afraid of red, yellow, and blue ? Need for
cognitive closure predicts aesthetic preferences. Psychology
of Aesthetics, Creativity, & the Arts, 6,
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CACIOPPO, J.T. & PETTY, R.E. (1982). The need for
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CACIOPPO, J.T., PETTY, R.E. & MORIS, K.J. (1983).
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[PDF]
Besoin
de satisfaction : Chez Deci
et Ryan, l'un des trois besoins
à l'origine de la motivation.Need satisfaction.
DECI, E.L., RYAN, R.M., GAGNÉ, M., LEONE, D.R., USUNOV, J.
& KORNOZHEVA, B.P. (2001). Need satisfaction,
motivation, and well-being in the work organizations of a
former Eastern Bloc country. Personality & Social
Psychology Bulletin, 27, 930-942.
[PDF]
BAARD, P.P., DECI, E.L. & RYAN, R.M. (2004). Intrinsic
need satisfaction : A motivational basis of performance
and well-being in two work settings. Journal of
Applied Social Psychology, 34, 2045-2068.
REINBOTH, M. & DUDA, J.L. (2006). Perceived
motivational climate, need satisfaction and indices of
well-being in team sports : A longitudinal perspective.
Psychology of Sport & Exercise, 7, 269-286. [PDF]
TAVRIS,
C., WADE, C., GAGNON, A., GOULET, C. et WIEDMANN, P.
(1999/2007). Introduction à la psychologie : les
grandes perspectives. St-Laurent : ERPI.
Besoins
de type E : E pour être. Chez Maslow,
catégorie de besoins qui, sans être
nécessaires à la survie, participent néanmoins de façon
fondamentale au développement psychologique de la personne.
=besoin
d'auto-actualisation, besoins de croissance, besoin
d'accomplissement, besoin de réalisation de soi. Growth
needs, being needs, B-needs.
TAVRIS,
C., WADE, C., GAGNON, A., GOULET, C. et WIEDMANN, P.
(1999/2007). Introduction à la psychologie : les
grandes perspectives. St-Laurent : ERPI.
Besoin
insatiable : Besoin qui n'est
jamais totalement satisfait et qui, selon certains auteurs,
serait, pour cette raison, à l'origine des dépendances
physiologiques et psychologiques. = besoin
insatiable./satiété.
Craving.
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Besoins
physiologiques : Pour Maslow,
ensemble de besoins liés à la survie et à la reproduction de
l'individu (faim, soif,
respiration, sommeil, élimination de l'urine et de la sueur,
sexualité). = besoin biologique. Physiological
needs.
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Biais : Plusieurs dictionnaires accordent à ce mot un sens
uniquement physique. Le biais serait une déformation apparente de
la matière (pensez à la vue d'une tige déformée par l'eau ou un
poisson dans une rivière, qui paraît toujours plus gros qu'en
réalité, sauf dans les histoires de pêcheur...). En science,
le mot est entré dans l'usage pour désigner également une
déformation de la pensée,
autrement dit une erreur de jugement,
de raisonnement
ou simplement de perception.
En ce sens, il est synonyme d'erreur
systématique de logique ou de fait, donc d'absence de neutralité
ou d'objectivité. Contrairement à l'erreur,
que l'on peut détecter et corriger, le biais est rarement
conscient, donc difficile à modifier. Chez les
scientifiques, ces biais constituent des menaces ou des
obstacles à l'objectivité
scientifique.NDLR : On utilise parfois
le mot effet pour désigner
certains biais. = erreur de jugement,
raisonnement tendancieux, raisonnement fallacieux, erreur de la
pensée, idée fausse, idée reçue, mythe.
( ): Voir tableau ci-dessous.
Bias
Biais acteur/observateur : Lorsqu'on observe le comportement
d'autrui (observateur), tendance à recourir plus souvent à des
causes internes (attribution)
qu'à des causes externes; et à faire l'inverse lorsqu'il s'agit
d'expliquer notre propre comportement (acteur).
Dispositional and situational attribution.
JONES, E.E. & DAVIS, K.E. (1965). From acts to
dispositions : The attribution process in person
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BECKMAN, L. (1970). Effects of students' performance on
teachers' and observers' attributions of causality. Journal
of Educational Psychology, 61, 76-82.
AJZEN, I. (1971). Attribution of dispositions to an actor
: Effects of perceived decision freedom and behavioral
utilities. Journal of Personality & Social
Psychology, 18, 144-156.
WATSON, D. (1982). The actor and the observer : How are
their perceptions of causality divergent ? Psychological
Bulletin, 92, 682-700.
JONES, E.E. & NISBETT, R.E. (1972). The actor and the
observer : Divergent perceptions of the causes of
behavior. In E.E. Jones et al. (Eds.), Attribution :
Perceiving the causes of behavior. Morristown, N.J.
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(1973). Behavior as seen by the actor and as seen by the
observer. Journal of Personality & Social
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attribution : Turning observers into actors. Journal
of Personality & Social Psychology, 32, 850-856.
MILLER, D.T. & NORMAN, S.A. (1975). Actor-observer
differences in perceptions of effective control.
Journal of Personality & Social Psychology, 31, 503-515.
BANZAÏ, T. (1984). The effects of observers's brief task
performance and their point of view on their causal
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& HARVEY, J.H. (1977). Anticipated discussion of
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the attribution of causality. Sociometry, 40,
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BAXTER, T.L. & GOLDBERG, L.R. (1988). Perceived
behavioral inconsistency underlying trait attributions to
oneself and another : an extension of the actor-observer
effect. Personality & Social Psychology Bulletin,
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MONSON, T.C. & SNYDER, M. (1977). Actors, observers,
and the attribution process. Journal of Experimental
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DIX, T. (1993). Attributing dispositions to children : An
interactional analysis of attribution in socialization. Personality
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GALPER, R.E. (1976). Turning observers into actors :
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Biais cognitif : Plusieurs dictionnaires accordent au mot biais
un sens uniquement physique. Le biais serait donc une déformation
apparente de la matière (pensez à la vue d'une tige déformée par
l'eau ou un poisson dans une rivière, qui paraît toujours plus
gros qu'en réalité, sauf dans les histoires de pêcheur...). En
science, le mot est entré dans l'usage pour désigner également une
erreur systématique ou une déformation de la pensée,
du jugement, du raisonnement
ou simplement de la perception.
En ce sens, il est synonyme d'erreur
systématique de logique ou de fait, donc d'absence de neutralité,
de rationalité ou d'objectivité. Contrairement à l'erreur,
que l'on peut détecter et corriger, le biais cognitif est
rarement conscient, donc difficile à réduire. Le chercheur
«biaisé» peut donc à tort croire que les résultats qu'il a
obtenus confirme son hypothèse et, partant, la théorie qu'il
cherche à vérifier.
= biais de
jugement, biais de perception, erreur de logique, jugement
erroné, incohérence logique, raisonnement tordu, déformation de la
réalité.
Biases in social judgment, cognitive
bias, cognitive illusion.
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GARB, H.N. (1997). Race bias, social class bias, and
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VAN DE VIVER, F.J.R. & POORTINGA, Y.H. (1997). Towards
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MALGADY, R.G. (1996). The question of cultrual bias in
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RIND, B. (1998). Biased use of cross-cultural and
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COUCH, A. & KENISTON, K. (1960). Yeasayers and
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Biais d'ancrage :Biais cognitif,
décrit par Tverksy et Kahneman,
qui consiste à se laisser influencer par sa première
impression, et donc à ignorer les informations
qui contredisent cette impression. Par analogie, l'ancre renvoie à
l'idée qu'une première impression a une forte inertie, donc
pèse «lourdement» dans la balance du changement.
Anchoring.
TVERSKY, A. & KAHNEMAN, D. (1974). Judgment under
uncertainty : Heuristics and biases. Science, 185,
1124-1130. [PDF]
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Biais
d'affinité :Biais cognitif
qui consiste à choisir un candidat ou un objet en fonction de nos
affinités avec lui, plutôt
qu'en raison de ses compétences/qualités intrinséques. EX :
Engager un comptable parce que, comme vous, il joue au hockey,
plutôt que d'examiner sa capacité à prendre des décisions
rationnelles. = Qui s'assemble se
ressemble.
Affinity biais.
TRAINER, T., TAYLOR, J.R. & STANTON, C.J. (2017).
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14, 189-205.
Biais d'auto-évaluation :Auto-évaluation
de ses compétences ou de ses habiletés qui ne correspond pas à la
réalité.
= illusion d'incompétence.Self-evaluation bias, illusion of incompetence.
PHILLIPS, D. (1984). The illusion of incompetence among
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juger meilleur ou moins bon qu'il ne l'est s'avère
profitable ou nuisible à l'élève. Revue Française de
Pédagogie, 182, 117-136.
GRAMZOW, R.H., ELLIOT, A.J., ASHER, E. & MCGREGOR,
H.A. (2003). Self-evaluation bias and academic performance
: Some ways and some reasons why. Journal of Research
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BOUFFARD, T., CÔTÉ S., BOUFFARD, T. & VEZEAU, C.
(2014). The mediating effect of self-evaluation bias of
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BOUFFARD, T., BOISVERT, M. & VEZEAU, C. (2003). The
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elementary school children and their parents. Learning
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VAILLANCOURT, M.-E., BOUFFARD, T. et LANGLOIS-MAYER, M.-P.
(2014). Trajectoires jointes des biais d'évaluation de
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BOUFFARD, T. BOUFFARD, T., VEZEAU, C., CHOUINARD, R. et
MARCOTTE, G. (2006). L'illusion d'incompétence et les
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entre le biais d'auto-évaluation de compétence et la
performance scolaire : rôle de l'autorégulation et de la
compréhension des attentes de l'enseignant par l'élève Canadian
Journal of Education/Revue Canadienne de l'Éducation, 43
(1), 198-228. [PDF]
Biais
d'auto-selection :Biais
d'échantillonnage engendré par le fait que les sujets
choisissent eux-mêmes de faire partie d'une recherche en fonction
d'une caractéristique particulière - qu'ils apprécient ou
détestent - et non selon le
hasard.EX: Un sujet accepte de répondre
à des questions sur un produit qu'il aime par dessus tout ou de
répondre à des questions concernant les agressions sexuelles car
ils détestent les féministes.
Self-selection
bias.
WILLIS, R-J. & ROSEN, S. (1979). Education and
self-selection. Journal of Political Economy, 87,
505-536.
HARBER, K.D., ZIMBRDO, P.G. & BOYD, J.N. (2003).
Participant self-selection biases as a function of
individual differences in time perspective. Basic
& Applied Social Psychology, 25 (3), 255-264. [PDF]
JACOBS, B., HARTOG, J. & VIJVERBERG, W. (2009).
Self-selection bias in estimated wage premiums for
earnings risk. Empirical Economics, 37 (2),
271-286.
HARRISON, G.W., LAU, M. & RUTSTRÖM, E. (2009). Risk
attitudes, randomization to treatment, and self-selection
into experiments. Journal of Economic Behavior &
Organization 70, 498-507. [PDF]
Biais d'aversion à la perte : Biais
cognitif qui se traduit par l'incapacité de se défaire
d'objet, notamment des titres boursiers (action, obligation, etc),
de valeur immobilières ou d'objets d'art, qui ne valent plus
ce qu'ils ont coûté, par crainte de trop perdre.Loss aversion.
KAHNEMAN, D. & TVERSKY, A. (1979). Prospect theory :
An analysis of decision under risk. Econometrica, 47,
263-291. [PDF]
BATEMAN, I., KAHNEMAN, D., MUNRO, A., STARMER, C. &
SUGDEN, R. (2003). Is there loss aversion in buying ?
An adversarial collaboration. The Centre for Social
and Economic Research on the Global Environment. [PDF]
SEGAL, U. (1987). The Ellsberg paradox and risk aversion :
An anticipated utility approach. International
Economic Review, 28 (1), 175–202.
TVERSKY, A. & KAHNEMAN, D. (1991). Loss aversion in
riskless choice : A reference dependent model. Quarterly
Journal of Economics, 106, 1039-1061. [PDF]
DELGADO, M.R., LABOULIERE, C.D. & PHELPS, E.A. (2006).
Fear of losing money ? Aversive conditioning with
secondary reinforcers. Social Cognitive &
Affective Neuroscience, 1 (3), 250-259. [PDF]
KAHNEMAN, D., KNETSCH, J.L. & THALER, R.H. (1991).
Anomalies : The endowment effect, loss aversion, and
status quo bias. The Journal of Economic Perspective,
5 (1), 193-206. [PDF]
SCHMIDT, U. & ZANK, H. (2008). Risk aversion in
cumulative prospect theory. Management Science, 54
(1), 208-216. [PDF]
BENRTZI, S. & THALER, R.H. (1995). Myopic loss
aversion and the equity premium puzzle. Quarterly
Journal of Economics, 110, 73-92. [PDF]
RICK, S. (2011). Losses, gains, and brains :
Neuroeconomics can help to answer open questions about
loss aversion. Journal of Consumer Psychology, 21, 453-463.
[PDF]
FOX, C. & TVERSKY, A. (1995). Ambiguity aversion and
comparative ignorance. Quarterly Journal of Economics,
110 (3), 585-603. [PDF]
EREV, I., ERT, E. & YECHIAM, E. (2008). Loss aversion,
diminishing sensitivity, and the effect of experience on
repeated decisions. Journal of Behavioral Decision
Making, 21, 575-597.
Biais d'échantillonnage : Toute erreur créée lors de l'échantillonnage
par la sélection des sujets d'une recherche, erreur qui engendre alors une plus ou moins grande représentativité
de l'échantillon et
par le fait même une validité externe moindre. = biais
de sélection. ( ):
Voir tableau ci-dessous.
Sampling bias,
sample selection bias, selection bias.
SILVERMAN, I. & MARGULIS, S. (1973). Experiment title as a source of sampling bias in commonly used "subject-pool" procedures. Canadian Psychologist, 14 (2), 197-201.
HECKMAN J.J., HIDEHIKO, I., SMITH, J. & TODD, P.
(1998). Characterizing selection bias using experimental data. Econometrica, 66, 1017-1098.
TULL, D.S. & ALBAUM, G.S. (1977). Bias in random digit dialed surveys. Public Opinion Quarterly, 41, 389-395.
HERNÀN, M.A., HERNÀNDEZ-DIAZ, S. & ROBINS, J.M.
(2004). Structural approach to selection bias. Epidemiology, 15, 615-625.
[PDF]
HECKMAN J.J. (1979). Sample selection bias as a
specification error. Econometrica, 47, 153-162. [PDF]
CUDDEBACK, G., WILSON, E., ORME, J.G. & COMBS-ORME, T. (2004). Detecting and statistically correcting sample
selection bias. Journal of Social Service Research,
30 (3), 19-33. [PDF]
BERK, R.A. & RAY, S.C. (1982). Selection biases in
sociological data. Social Science Research, 11,
352-398.
CASARI, M., HAM, J. & KAGEL, J. (2007). Selection
bias, demographic effects and ability effects in common
value auctions experiments. American Economic Review, 97 (4), 1278-1304.
BERK, R.A. (1983). An introduction to sample selection
bias in sociological data. American Sociological
Review, 48 (3), 386-398.
HARRIS, J.B.C. & HASKELL, D.G. (2007). Land cover
sampling biases associated with roadside bird surveys/ Avian Conservation and Ecology - Écologie et conservation des
oiseaux 2 (2), 1-19. [PDF]
DUBIN, J.A. (1989). Selection bias in linear regression,
logit and probit models. Sociological Methods &
Research, 18 (2), 360-390.
CORTES, C., MOHRI, M., RILEY, M. & ROSTAMIZADEH, A.
(2008). Sample selection bias correction theory. Algorithmic
Learning Theory, 5254, 38-53.
[PDF]
WINSHIP, C. & MARE, R.D. (1992). Models for sample
selection biais. Annual Review of Socioloy, 18, 327-350.
[PDF]
BETHLEHEM, J., COBBEN, F. & SCHOUTEN, B. (2011). Handbook
of nonresponse in household surveys. New York :
Wiley, Wiley Series in Survey Methodology.
CANTOR, R. & PACKER, F. (1997). Differences of opinion
and selection bias in the credit rating industry. Journal
of Banking & Finance, 21, 1395-1417.
CLEAVE, B.L., NIKIFORALIS, N. & SLONIM, R. (2011). Is
there selection bias in laboratory experiments ? The
case of social and risk preferences. Discussion
Paper No. 5488.
[PDF]
ARDS, S., CHUNG, C. & MYERS, S.L. (1998). The effects
of sample selection bias on racial differences in child
abuse reporting. Child Abuse & Neglect, 22
(2), 103-115.
CORTES, C., MOHRI, M. (2014). Domain adaptation and sample
bias correction theory and algorithm for regression. Theoretical
Computer Science, 519, 103-126. [PDF]
Biais d'érudition : Pour un individus ayant de nombreuses
connaissances, par exemple un expert ou un scientifique,
incapacité ou difficulté à expliquer simplement les rudiments de
son domaine, à les vulgariser à un public profane. =
biais d'expertise, maladiction du savoir. Curse
of knowlege.
COLIN, C., LOEWENSTEIN, G. & WEBER, M. (1989). The
curse of knowledge in economic settings : An experimental
analysis. Journal of Political Economy, 97, 1232-1254.
[PDF]
BIRCH, S.A.J. & BLOOM, P. (2007). The curse of
knowledge in reasoning about false beliefs. Psychological
Science, 18, 382-386.
Biais
d'hétérogénéité :Bais
d'échantillonnage que l'on observe dans les méta-analyses
lorsque les recherches sélectionnées sont trop disparates ou
hétérogènes - sur le plan plan méthodologiques et
statistiques - pour être comparer entre elles. Pour résumer
cette situation, on dit souvent que l'on compare des pommes avec des poires.
= effet de
disparité.
Heterogeneity bias.
XI, Y. (2011). Causal inference and heterogeity biais in
social science. Information Knowledge Systems
Management, 10 (1), 279-289.
Biais
d'heuristique de disponibilité :Concept
développé par Tversky et Kahneman
pour décrire la tendance à évaluer la probabilité d'un événement
donné en fonction d'informations ou d'exemples qui nous viennent
facilement à l'esprit parce qu'ils nous ont frappé (salience)
ou parce que nous y avons été exposés à de multiples
reprises (répétition).
Cette évaluation s'écarte souvent de la réalité, des faits, d'où
le biais.
Availability heuristic, Heuristic
bias.
TVERSKY, A. & KAHNEMAN, D. (1973). Availability : a
heuristic for judging frequency and probability. Cognitive
Psychology, 5, 207-232.
TVERSKY, A. & KAHNEMAN, D. (1974). Judgment under
uncertainty : Heuristics and biases. Science, 185,
1124-1130. [PDF]
CARROLL, J.S. (1978). The effect of imagining an event on
expectations for the event : An interpretation in terms of
the availability heuristic. Journal of Experimental
Social Psychology, 14, 88-96.
DE NEYS, W. (2010). Heuristic bias, conflict, and
rationality in decision-making. In B.M. Glatzeder, V. Goel
& A. von Müller (Eds.), Towards a theory of
thinking (pp. 23-33). Berlin, Germany :
Springer-Verlag.
DE NEYS, W. & FEREMANS, V. (2013). Development of
heuristic bias detection in elementary school. Developmental
Psychology, 49, 258-269. [PDF]
Biais d'ignorance : Biais créé par le
fait que les répondants
d'une recherche qui, ignorant la réponse à la question qu'on leur
pose, improvise une réponse (qui peut alors s'écarter de la
réalité, d'où le biais).
Biais
d'immunité à l'erreur : Biais qui
consiste à ne pas voir ses propres erreurs,
ou à ne pas les admettre (ou à les sous-estimer).
HUGHES, L.C. & PRESKI, S. (1997). Using key informant
methods in organizational survey research : Assessing for
informant bias. Research in Nursing & Health, 20,
81-92.
Biais
d'observation : Toute erreur créée lors de
l'observation d'un sujet/participant. /neutralité
de l'observation.
Bias in observational
studies.
GRIMES, D.A. & SCHULZ, K.F. (2002). Bias and causal
associations in observational research. Lancet, 359,
248-252. [PDF]
HAMMER, G.P., DU PREL, J.-B. & BLETTNER, M. (2009).
Avoiding Bias in Observational Studies. Deutsches
Ärzteblatt International, 106 (41), 664-668. [PDF]
RUBIN, D.B. (1973). The use of matching and regression
adjustment to remove bias in observational studies. Biometrics,
29, 185-203.
HROBJARTSSON, A., THOMSEN, A.S., EMANUELSSON, F., TENDAL,
B., HILDEN, J., BOUTRON, I., RAVAUD, P. & BRORSON, S.
(2012). Observer bias in randomised clinical trials with
binary outcomes : systematic review of trials with both
blinded and non-blinded outcome assessors. British
Medical Journal, 344, 1-11. [PDF]
COCHRAN, W.G. & RUBIN, D.B. (1974). Controlling bias
in observational studies : A review. Mahalanobis
Memorial Volume Sankhyd -A, 1-30.
DAVIES, N.M. (2015). An even clearer portrait of bias in
observational studies ? Epidemiology, 26 (4),
505-508. [PDF]
BORGES DE ALMEIDA, C.P. & GAERCIA DE GOULART, B.N.
(2017). How to avoid bias in systematic reviews of
observational studies. Revista CEFAC, 19 (4),
551–555.
JONES, E.E., RIGGS, J.M. & QUATTRONE, G. (1979).
Observer bias in the attitude attribution paradigm :
Effect of time and information order. Journal of
Personality & Social Psychology, 37, 1230-1238.
NGUYEN, V.T., ENGLETON, M., DAVISON, M., RAVAUD, P.,
PORCHER R. & BOUTRON, I. (2021). Risk of bias in
observational studies using routinely collected data of
comparative effectiveness research : a meta-research
study. BMC Medicine, 19 (279), 4-14. [PDF]
Biais de Berkson : Type de biais d'échantillonnage qui consiste en une erreur systématique induite par le fait que le groupe expérimental et le groupe
contrôle sont composés de sujets provenant de deux populations
distinctes. EX: Une chercheure désire vérifier
si l'effort physique influence la mémoire; elle compare les
résultats à un test de mémoire (y) d'un groupe d'athlètes qui
vient de terminer un match (X1) à un groupe de spectateurs qui à
regarder ce match (x2).
Biais
de complaisance :Biais cognitif,
découvert par Miller et Ross,
qui consiste à s'attribuer
la responsabilité de ses réussites
(causes internes) et à imputer ses échecs
à des causes externes, généralement les «autres» ou le «destin» (externalisme).
Biais de complaisance, attribution et estime
de soi.= erreur de
complaissance, biais d'auto-complaisance.
Self-serving
bias, SSB.
JOHNSON, T.J., FEIGENBAUM, R. & WEIBY, M. (1964). Some
determinants and consequences of the teacher's perception
of causation. Journal of Experimental Psychology, 55,
237-246.
GREENBERG, J., PYSZCZYNSKI, T., BURLING, J. & TIBBS,
K. (1992). Depression, self-focused attention, and the
self-serving attributional bias. Personality &
Individual Differences 13 (9), 959-965.
WOLOSIN, R.J., SHERMAN, S.J. & TILL, A. (1973).
Effects of cooperation and competition on responsibility
attribution after success and failure. Journal of
Experimental Social Psychology, 9, 220-235.
HEINE, S.J. & LEHMAN, D.R. (1997). The cultural
construction of self-enhancement : An examination of
group-serving biases. Journal of Personality &
Social Psychology, 72, 1268-1283. [PDF]
MILLER, D.T. & ROSS, M. (1975). Self-serving biases in
the attribution of causality : Fact or fiction ? Psychological
Bulletin, 82, 213-225.
SEDIKIDES, C., CAMPBELL, W.K., REEDER, G. & ELLIOT,
A.J. (1998). The self-serving bias in relational context.
Journal of Personality & Social Psychology, 74,
378-386.
[PDF]
SCHLENKER, B.R. & MILLER, R.S. (1977). Egocentrism in
groups : Self-serving biases or logical information
processing ? Journal of Personality & Social
Psychology, 35 (7), 755-764.
CAMPBELL, W.K. & SEDIKIDES, C. (1999). Self-threat
magnifies the self-serving bias : A meta-analytic
integration. Review of General Psychology, 3 (1),
23-43. [PDF]
+ [PDF]
MILLER, D.T. & SMITH, J. (1977). The effects of own
deservingness and deservingness of others on children's
helping behavior. Child Development, 48,
617-620.
CAMPBELL, W.K., SEDIKIDES, C. & REEDER, G.D. &
ELLIOT, A.J. (2000). Among friends ? An examination of
friendship and the self-serving bias. British Journal
of Social Psychology 39 (2), 229-239.
WEARY BRADLEY, G. (1978). Self-serving biases in the
attribution process : A reexamination of the fact or
fiction question. Journal of Personality & Social
Psychology, 36, 56-71.
BÈGUE L. & FUMEY, V. (2000). Belief in a just world or
self-serving strategy ? Social Behavior &
Personality, 28, 119-124.
MILLER, D.T. (1978). What constitutes a self-serving
attributional bias ? : A reply to Bradley. Journal of
Personality & Social Psychology, 36, 1221-1223.
DUVAL, T.S. & SILVIA, P.J. (2002). Self-awareness,
probability of improvement, and the self-serving bias.
Journal of Personality & Social Psychology, 82, 49-61.
WEARY BRADLEY, G. (1979). Self-serving attributional
biases : Perceptual or response distorsions ? Journal
of Personality & Social Psychology, 37,
1418-1420.
BLACKWOOD, N.J., BENTALL, R.P., FFYTCHE, D.H., SIMMONS,
A., MURRAY, R.M. & HOWARD, R.J. (2003).
Self-responsibility and the self-serving bias : an fMRI
investigation of causal attributions. Neuroimage, 20
(2), 1076-1085.
ZUCKERMAN, M. (1979). Attribution of success and failure
revisited, or : The motivational bias is alive and well in
attribution theory. Journal of Personality, 47
(2), 245-287.
ALLISON, S.T., NEVILLE, A., ASUNCION, A.G., BEGGAN, J.K.
& McKIE, D.M. (2006). Self-serving outcome-biases in
trait judgments about the self. Current Research in
Social Psychology, 11 (14), 202-214. [PDF]
ARKIN, R.M., APPLEMAN, A.J. & BURGER, J.M. (1980).
Social anxiety, self-presentation, and the self-serving
bias in causal attribution. Journal of Personality
& Social Psychology, 38, 23-35.
PAL, G.C. (2007). Is there a universal self-serving
attribution bias ? Psychological Studies, 52
(1), 85-89.
TYLER, T.R. & DEVINITZ, V. (1981). Self-serving bias
in the attribution of responsibility : Cognitive versus
motivational explanations. Journal of Experimental
Social Psychology, 17, 408-416.
ROESE, N.J. & OLSON, J.M. (2007). Better, stronger,
faster self-serving judgment, affect regulation, and the
optimal vigilance hypothesis. Perspectives on
Psychological Science, 2 (2), 124-141.
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SNYDER, C.R., SMITH, T.W., AUGELLI, R.W. & INGRAM,
R.E. (1985). On the self-serving function of social
anxiety : Shyness as a self-handicapping strategy. Journal
of Personality & Social Psychology, 48 (4),
970-980.
KRUSEMARK, E.A., KEITH, C.W. & CLEMENTZ, B.A. (2008).
Attributions, deception, and event related potentials : An
investigation of the self-serving bias. Psychophysiology,
45 (4), 511-515.
MULLEN, B. & RIORDAN, C.A. (1988). Self-serving
attributions for performance in naturalistic settings : A
meta-analytic review. Journal of Applied Social
Psychology, 18, 3-22.
SHEPPERD, J.A. MALONE, W. & SWEENY, K. (2008).
Exploring causes of the self-serving bias. Social
& Personality Psychology Compass, 2, 895-908.
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MYNATT C.R., DOHERTY M.E. & TWEEY, R.D. (1977).
Confirmation bias in a simulated research environment : An
experimental study of scientific inferences. Quarterly
Journal of Experimental Psychology, 29, 85-95.
DARDENNE, B. & LEYENS, J.-P. (1995). Confirmation bias
as a social skill. Personality & Social Psychology
Bulletin, 21 (11), 1229-1239.
DARLEY, J.M. & GROSS, P.H. (1983). A
hypothesis-confirming bias in labelling effect.
Journal of Personality & Social Psychology, 44 (1),
20-33.
NICKERSON, R.S. (1998). Confirmation bias; A ubiquitous
phenomenon in many guides. Review of General
Psychology, 2 (2), 175-220. [PDF]
BEATTIE, J. & BARON, J. (1988). Confirmation and
matching biases in hypothesis testing. Quarterly
Journal of Experimental Psychology : Human Experimental
Psychology, 40, 269-297.
RABIN, M. & SCHRAG, J.L. (1999). First impression
matter : A model of confirmatory biais. The Quarterly
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OSWALD, M.E. & GROSJEAN, S. (2004). Confirmation bias.
In R.F. Pohl (Ed.), Cognitive illusions : A handbook
on fallacies and biases in thinking, judgment and memory
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FRIEDRICH, J. (1993). Primary error detection and
minimization (PEDMIN) strategies in social cognition : A
reinterpretation of confirmation bias phenomena. Psychological
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MARSH, D.M. & HANLON, T.J. (2007). Seeing what we want
to see : confirmation bias in animal behaviour research. Ethology,
113, 1089-1098. [PDF]
HAVEKAMP, B.E. (1993). Confirmatory bias in hypothesis
testing for client-Identied and counselor self-generated
hypotheses. Journal of Counseling Psychology, 40 (3),
303-315.
NELSON, J.D. & McKENZIE, R.M. (2009). Confirmation
biais. In M.W. Kattan (Ed.), Encyclopedia of medical
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KLAYMAN, J. (1995). Varieties of confirmation bias. Psychology
of Learning & Motivation, 32, 385-418.
HERGOVICH, A., SCHOTT, R. & BURGER, C. (2010). Biased
evaluation of abstracts depending on topic and conclusion
: Further evidence of a confirmation bias within
scientific psychology. Current Psychology, 29,
188-209.
VALLERAND,
R.J. (Dir.) (1994). Les fondements de la psychologie
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Biais de confusion :Biais créé
par l'attribution d'un effet Y à un X (une cause/VI) qui n'est
pas, dans les faits, à l'origine de cet effet. Dans ce contexte, le
chercheur "confond" deux phénomènes (X1 et X2) et attribue les
effets observées de Y aux mauvais X, que l'on nomme variable
contaminante. Il s'agit donc d'une erreur d'interprétation
des résultats. Pour éviter cette erreur, le chercheur doit
idéalement opter pour un plan
de recherche expérimental en double
aveugle/insu dans lequel il comparera deux groupes de sujets
appariés distribuée dans
les n groupes au hasard. La comparaison entre deux (ou
plusieurs) groupes appariés permet d'isoler l'effet de la variable
indépendante des effets des autres variables (neutralisés grâce à
l'appariement). La distribution au hasard permet de limiter
l'effet des variables parasites non contrôlées en assurant la
distribution statistique entre les groupes. La procédure en double
aveugle «protège» la mesure des résultats des attentes des
chercheurs et de la présomption des sujets. Confounding
factor.
X1
---------»
Y
:
Z
X2
EXEMPLE
Biais de confusion
Variable dépendante
Variable Indépendante
Un
passant qui constate une urgence
Comportement
d'aide
Deux
passants qui constatent une urgence
Variable
contaminante
Tous
les passants qui constatent cette urgence n'ont pas le
même âge
GREENLAND S. & NEUTRA, R. (1980). Control of
confounding in the assessment of medical technology. International Journal of Epidemiology, 9 (4), 361-367.
MACKINNON, D.P., KRULL, J.L. & LOCKWOOD, C.M. (2000).
Equivalence of the mediation, confounding, and suppression
effects. Prevention Science, 1, 173-181.
Biais
de correction : Ensemble des erreurs systématiques
commise par un enseignant/professeur lors de la correction des
examens/travaux de ses étudiant-e-s.
Biais de correspondance : Biais cognitif
qui consiste à sur-estimer les causes dispositionnelles (ou état
mental) au profit des causes situationnelles (milieu). =erreur fondamentale
d'attribution, biais de disposition, surattribution.
Correspondence bias, overattribution.
JONES, E.E. & HARRIS, V.A. (1967). The attribution of
attitude. Journal of Experimental Social Psychology,
3, 1-24.
HAMILTON, D.L. (1998). Dispositional and attributional
inferences in person perception. In J.M. Darley & J.
Cooper (Eds.), Attribution and social interaction
(pp. 99-114). Washington, DC : American Psychological
Association.
ROSS, L. (1977). The intuitive psychologist and his
shortcomings : Distortions in the attribution process. In
L. Berkowitz (Ed.), Advances in experimental social
psychology (Vol. 10). New York : Academic Press.
VONK, R. (1999). Effects of outcome dependency on
correspondence bias. Personality & Social
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HARVEY, J.H., TOWN, J.P. & YARKIN, K.L. (1981). How
fundamental is the "fundamental attribution error ?
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Psychology, 40,346-349.
GILBERT, D.T. (1998). Speeding with Ned : A personal view
of the correspondence bias. In J.M. Darley & J. Cooper
(Eds.), Attribution and social interaction : The legacy of
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MILLER, A.G. & RORER, L.G. (1982). Toward an
understanding of the functional attribution error : Essay
diagnosticity in the attitude attribution paradigm. Journal
of Research in Personality 16, 41-59.
QUATTRONE, G.A. (1982). Overattribution and unit formation
: When behavior engulfs the person. Journal of
Personality & Social Psychology, 42 (4),
593–607.
KRULL, D.S., LOY, M.H., LIN, J., WANG, C.F., CHEN, S.
& ZHAO, X. (1999). The fundamental attribution error :
Correspondence bias in individualist and collectivist
cultures. Personality & Social Psychology
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TETLOCK, P.E. (1985). Accountability : A social check on
the fundamental attribution error. Social Psychology
Quarterly, 48, 227-236.
WRIGHT, E.F. & WELLS, G.L. (1988). Is the attitude
attribution paradigm suitable for investigating the
dispositional bias ? Personality & Social
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GILBERT, D.T., BROWN, R.P., PINEL, E.C. & WILSON, T.D.
(2000). The illusion of external agency. Journal of
Personality & Social Psychology, 79, 690-700.
DEVINE, P.G. (1989). Overattribution effect : The role of
confidence and attributional complexity. Social
Psychology Quarterly, 52 (2), 149-158.
FEIN, S., HILTON, J.L. & MILLER, D.T. (1990).
Suspicion of ulterior motivation and the correspondence
bias. Journal of Personality & Social Psychology,
58, 753-764.
KRULL, D.S. (2001). On partitioning the fundamental
attribution error : Dispositionalism and the
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MIYAMATO, Y. & KITAYAMA, S. (2002). Cultural variation
in correspondence bias : The critical role of attitude
diagnosticity of socially constrained behavior.
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FEIN, S. (1996). Effects of suspicion on attributional
thinking and the correspondence bias. Journal of
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MILLER, D.T., VISSER, P. & STAUB, B. (2005). How
surveillance begets perceptions of dishonesty : The case
of the counterfactual correspondence bias. Journal of
Personality & Social Psychology, 89, 117-128.
Biais
de couverture :Biais
d'échantillonnage qui prend la forme d'une exclusion
non-volontaire d'une partie de la population,
qui a donc zéro chance d'être sélectionné, de faire partie d'une
recherche. EX : Les sondages internet excluent
tous les gens qui n'utilisent par les ordinateurs. =
biais d'exclusion. Coverage biais,
noncoverage, coverage error.
KOTT, P. (2006). Using calibration weighting to adjust for
non- response and coverage errors. Survey
Methodology, 32 (2), 133- 142.
COUPER, M.P., KAPTEYN, A., SCHOMNLAU, M. & WINTER, J.
(2007). Noncoverage and nonresponse in an Internet survey.
Social Science Research, 36, 131-148.
DEVER, J.A., RAFFERTY, A. & VAILLANT, R. (2008).
Internet surveys : Can statistical adjustments eliminate
coverage bias ? Survey Research Methods, 2 (2),
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BUSSE, B. & FUCHS, M. (2012). The components of
landline telephone survey coverage bias. The relative
importance of no-phone and mobile-only populations.
Quality & Quantity, 46, 1209-1225.
Biais de croyance :Biais cognitif qui consiste à considérer comme vraie la conclusion d'un
raisonnement qui corespond à nos croyances ou à nos connaissances personnelles, même si ce raisonnement est logiquement faux.
= Conflit entre les croyances et la logique.
Belief biais, belief bias effect, Belief-logic conflict.
Exemple
Bon syllogisme
Mauvais syllogisme/Biais
Tous les rockeurs sont mortels
Tous les rockeurs sont mortels
Kurt Cobain est un rockeur
Kurt Cobain est mortel
... donc Kurt Cobain est mortel
... donc Kurt Cobain est un rockeur
REVLIN, R. & LEIRER. V. (1978). The effects of
personal biases on syllogistic reasoning : Rational
decisions from personalized representations. In R. Revlin
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BALL, L.J., PHILLIPS, P., WADE, C.N. & QUAYLE, J.D.
(2006). Effects of belief and logic on syllogistic
reasoning eye-movement evidence for selective processing
models. Experimental Psychology, 53 (1), 77-86.
[PDF]
EVANS, J. St.B.T., BARSTON, J.L. & POLLARD, P. (1983).
On the conflict between logic and belief in syllogistic
reasoning. Memory & Cognition, 11, 295-306.
EVANS, J. St.B.T. & CURTIS-HOLMES, J. (2005). Rapid
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dual-process theory of reasoning. Thinking &
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REVLIN, R., LEIRER, V., YOPP, H. & YOPP, R. (1980).
The belief- bias effect in formal reasoning : The
influence of knowledge on logic. Memory &
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STUPPLE, E.J.N. & BALL, L.J. (2008). Belief-logic
conflict resolution in syllogistic reasoning :
Inspection-time evidence for a parallel-process model. Thinking
& Reasoning, 14 (2), 168-181.
OAKHILL, J.V. & JOHNSON-LAIRD, P.N. (1985). The
effects of belief on the spontaneous production of
syllogistic conclusions. Quarterly Journal of
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DUBE, C., ROTELLO, C.M. & HEIT, E. (2010). Assessing
the belief bias effect with ROCs : It's a response bias
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MARKOVITS, H. & NANTEL, G. (1989). The belief-bias
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KAMAL-SMITH, E. (2011). When logic and belief collide :
Individual differences in reasoning times support a
selective processing model. Journal of Cognitive
Psychology, 23 (8), 931-941.
NEWSTEAD, S.E., POLLARD, P., EVANS, J. St.B.T. &
ALLEN, J. (1992). The source of belief bias effects in
syllogistic reasoning. Cognition, 45, 257-284.
HANDLEY, S.J., NEWSTEAD, S.E. & TRIPPAS, D. (2011).
Logic, beliefs, and instruction : A test of the default
interventionist account of belief bias. Journal of
Experimental Psychology : Learning, Memory, &
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OAKHILL, J. & GARNHAM, A. (1993). On theories of
belief bias in syllogistic reasoning. Cognition, 46, 87-92.
GOEL, V. & VARTANIAN, O. (2011). Negative emotions can
attenuate the influence of beliefs on logical reasoning. Cognition & Emotion, 25 (1), 121-131.
QUAYLE, J.D. & BALL, L.J. (1997). Subjective
confidence and the belief bias effect in syllogistic
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Lawrence Erlbaum Associates.
KLAUER, K.C. & KELLEN, D. (2011). Assessing the belief
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CHERUBINI, P., GARNHAM, A., OAKHILL, J.V. & MORLEY, E.
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[PDF]
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domain specificity and generality of belief bias :
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belief bias in relational reasoning. Cognitive
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Individual differences and the belief bias effect. Thinking
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THOMPSON, V.A. & EVANS, J. St.B.T. (2012). Belief bias
in informal reasoning. Thinking & Reasoning, 18,
278-310.
KLAUER, K.C., MUSCH, J. & NAUMER, B. (2000). On belief
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TRIPPAS, D., HANDLEY, S.J. & VERDE, M.F. (2013). The
SDT model of belief bias : Complexity, time, and cognitive
ability mediate the effects of believability. Journal
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TRIPPAS, D., PENNYCOOK, G., VERDE, M.F. & HANDLEY,
S.J. (2015). Better but still biased : Analytic cognitive
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QUAYLE, J.D. & BALL, L.J. (2000). Working memory,
meta-cognitive uncertainty and belief bias in syllogistic
reasoning. Quarterly Journal of Experimental
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CAVOJOVA, V. (2017). Belief bias effect in reasoning of
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ROBERTS, M.J. & SYKES, E.D.A. (2003). Belief bias and
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TRIPPAS, D., KELLEN, D., SINGMANN, H., PENNYCOOK, G.
KOEHLER, D.J., FUGELSANG, J.A. & DUBÉ, C. (2018).
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MORLEY, N.J., EVANS, J.St.B.T. & HANDLEY, S.J. (2004).
Belief bias and figural bias in syllogistic reasoning. Quarterly
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DING, D., CHEN, Y., LAI, J., CHEN, X., HAN, M. &
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Biais de désirabilité : Dans une recherche par questionnaire
ou par entrevue, la
désirabilité sociale amène les participants
à omettre, à embellir ou à travestir la réalité afin de préserver
leur image et leur estime
de soi.EX: Si on demande combien de
partenaires sexuels ils ont eu dans la dernière année, plusieurs
participants gonfleront ce nombre pour bien paraître aux yeux de
l'intervieweur. On observe le même phénomène lorsque le
participant se sent ou se sait observé. La désirabilité sociale
est donc une variable
parasite que le chercheur doit tenter par tous les moyens de
contrôler s'il veut préserver la validité
interne de sa recherche. On peut par exemple observer un
sujet à son insu et obtenir son consentement
après-coup. = ce qui est
préférable ou souhaitable de dire ou de faire, biais du répondant.
Social desirability bias.
PHILLIPS, D.L. & CLANCY, K.J. (1972). Some effects of
"social desirability" in survey studies. American
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FISHER, R.J. (1993). Social desirability bias and the
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Research, 20 (2), 303-315.
GANSTER, D.C., HENNESSEY, H.W. & LUTHANS, F. (1983).
Social desirability response effects : Three different
models. Academy of Management Journal, 26,
955-966.
RICHMAN, W.L., KIESLER, S., WEISBAND, S. & DRASGOW, F.
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distortion in computer-administered questionnaires,
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KING, M.F. & BRUNER, G.C. (2000). Social desirability
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RANDALL, D.M. & FERNANDES, M.F. (1991). The social
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KREUTER, F., PRESSER, S. & TOURANGEAU, R. (2008).
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Biais de dispositiion : Biais cognitif qui consiste à...
Distinction biais.
WRIGHT, E.F. & WELLS, G.L. (1988). Is the
attitude-attribution paradigm suitable for investigating
the dispositional bias ? Personality & Social
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Biais
de distinction : Biais de
perception qui consiste à trouver une plus grande différence
entre deux objets lorsqu'ils sont comparés simultanément que
lorsqu'il sont évalué à tour de rôle.
Distinction biais.
HSEE, C.K. & LECLERC, F. (1998). Will products look
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par la présence ou le comportement de l'intervieweur
qui influence les réponses
des sujets, et par conséquent, les données
et les résultats
d'une enquête ou de tout
autre type de recherche
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respondents, nonrespondents, and refusers across mail
surveys. Public Opinion Quarterly, 56 (4),
530-535.
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Nonresponse in the American Time Use Survey : Who is
missing from the data and how much does it matter ? Public
Opinion Quarterly, 70 (5), 676-703.
GROVES, R.M., CIALDINI, R.B. & COUPER, M.P. (1992).
Understanding the decision to participate in a survey. Public
Opinion Quarterly, 56 (4), 475-495.
GROVES, R.M. (2006). Nonresponse rates and nonresponse
bias in household surveys. Public Opinion Quarterly,
70, 646-675.
TOMASKOVIC-DEVEY, D., LEITER, J. & THOMPSON. S.
(1994). Organizational survey non-response.
Administrative Science Quarterly, 39, 439-457.
GROVES, R.M., COUPER, M., PRESSOR, S., SINGER, E.,
TOURANGEAU, R., ACOSTA, G.P. & NELSON, L. (2006).
Experiments in producing nonresponse bias. Public
Opinion Quarterly, 70 (5), 720-736.
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nonresponse in mail, telephone, and face-to-face surveys.
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(2007). Noncoverage and nonresponse in an Internet survey.
Social Science Research, 36, 131-148.
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appropriateness of asymmetry tests for publication bias in
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Minimizing survey refusal and noncontact rates : do our
efforts pay off ? Survey Research Methods, 1, 3-10.
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participation as reasoned action; a behavioral paradigm
for survey nonresponse ? Bulletin de Méthodologie
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SÄRNDAL, C.E. & LUNDSTRÖM, S. (2008). Assessing
auxiliary vectors for control of nonresponse bias in the
calibration estimator. Journal of Official Statistics,
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nonresponse rates on nonresponse bias. Public Opinion
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GROVES, R.M. & COUPER, M.P. (1995). Theoretical
motivation for post-survey nonresponse adjustment in
household surveys. Journal of Official Statistics, 11
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HOONAKKER, P. & CARAYON, P. (2009). Questionnaire
survey nonresponse : A comparison of postal mail and
Internet surveys. International Journal of
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TOURANGEAU, R., GROVES, R., KENNEDY, C. & YAN, T.
(2009). The presentation of the survey, nonresponse, and
measurement error. Journal of Official Statistics,
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[PDF]
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the requirement of an Internet panel based on probability
sampling. Survey Research Methods, 3, 59-72.
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nonresponse and item nonresponse : A response continuum
perspective. International Journal of Public Opinion
Research, 22 (4), 535-551.
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MIRANDA, J. & COUSINS, J. (2010). Patterns of
enrollment in randomized and preference trials of
behavioral treatments for insomnia. Journal of
Methods & Measurement in the Social Sciences, 1
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relationship between nonresponse propensity and data
quality in two national household surveys. Public
Opinion Quarterly, 74 (5), 934-955.
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interviewer on the refusal rate in telephone surveys.
Deventer : Print Partners Ipskamp.
BLOOM, A.G., DE LEEUW, E.D. & HOX, J.J. (2011).
Interviewer Effects on Nonresponse in the European Social
Survey. Journal of Official Statistics, 27 (2),
359-377. [PDF]
GROVES, R.M. & COUPER, M.P. (1998). Nonresponse
in household interview surveys. New York : John
Wiley & Sons.
GROVES, R.M., PRESSOR, S., TOURANGEAU, R., WEST, B.T.,
COUPER, M., SINGER, E. & TOPPE, C. (2012). Support for
the survey sponsor and nonresponse bias. Public
Opinion Quarterly, 76 (3), 512-524.
HOX, J.J. & DE LEEUW, E.D. & SNIJKERS, (1998).
Fighting nonresponse in telephone interviews : Successful
interviewer tactics. In A. Koch & R. Porst (Eds), Nonresponse
in survey research (Vol. 4, pp. 173-185). ZUMA
Nachrichten Spezial.
BRICK, J.M. & WILLIAMS, D. (2013). Explaining rising
nonresponse rates in cross-sectional surveys. Annals
of the American Academy of Political & Social
Science, 645, 36-59.
LAURIE, H., SMITH, R. & SCOTT, L. (1999). Strategies
for reducing nonresponse in a longitudinal panel survey. Journal
of Official Statistics, 15 (2), 269-282.
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reduce data quality ? A review of the existing literature.
Journal of the Royal Statistical Society : Series A
176 (part1): 129-145.
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nonresponse bias in Internet surveys. Basic
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Biais de publication : En science,
les résultats des recherches
qui infirment les
hypothèses sont trop rarement publiées dans les revues scientifiques, ce qui crée l'impression que toutes les
hypothèses proposées par les chercheurs sont confirmées, donc
vraies. Sur le plan statistique, on observe ce phénomène
grâce aux méta-analyses (effet tiroir : articles qui révélent des effets négatifs ou simplement
l'absence de résultats positifs). Biais de publication, revue scientifique et
comité de lecture. = effet
tiroir.
Publication fallacy, selective
publication, filedrawer effect, publication decision, criterion
in editorial decisions, non-publication.
STERLING, T. (1959). Publication decisions and their
possible effects on inferences drawn from tests of
significance or vice versa. Journal of the American
Statistical Association, 54 (285), 30-34.
SONG, F., EASTWOOD, A.J., GILBODY, S., DULEY, L. &
SUTTON, A.J. (2000). Publication and related biases. Health
Technology Assessment, 4 (10), 1-115.
MAHONEY, M.J. (1977). Publication prejudices : An
experimental study of confirmatory bias in the peer review
system. Cognitive Therapy & Research, 1 (2),
161-175. [PDF]
SUTTON, A.J., SONG, F., GILBODY, S.M. & ABRAMS, K.R.
(2000). Modeling publication bias in meta-analysis : A
review. Statistical Methods in Medical Research, 9, 421-445.
LANE, D.M. & DUNLAP, W.P. (1978). Estimating effect
size : Bias resulting from the significance criterion in
editorial decisions. British Journal of Mathematical
& Statistical Psychology, 31, 107-12.
STERNE, J.A.C.C, GAVAGHAN, D. & EGGER, M. (2000).
Publication and related bias in meta-analysis : Power of
statistical tests and prevalence in the literature. Journal
of Clinical Epidemiology, 53 (11), 1119-129.
SMITH, M.L. (1980). Publication bias and meta-analysis. Evaluation
in Education, 4, 22-24.
SCARGLE, J.D. (2000). Publication bias : The "file-drawer
problem" in scientific inference. The Journal of
Scientific Exploration, 14 (1), 91-106.
SIMES, J.R. (1986). Publication bias : The case for an
international registry of clinical trials. Journal of
Clinical Oncology, 4 (10), 1529-1541.
SUTTON, A.J., DUVAL, S.J., TWEEDIE, R.L., ABRAMS, K.R.
& JONES, D.R. (2000). Empirical assessment of effect
of publication bias on meta-analysis. British Journal
of Medicine, 320, 1574-1577.
DICKERSIN, K., CHAN, S., CHALMERS, T.C., SACKS, H.S. &
SMITH, H. (1987). Publication bias in clinical trials.
Controlled Clinical Trials, 8, 348-353.
DUVAL, S.J. & TWEEDIE, R.L. (2000). A nonparametric
"trim and fill" method of accounting for publication bias
in meta-analysis. Journal of the American Statistical
Association, 95, 89-98.
BEGG, C. & BERLIN, J.A. (1988), Publication bias : A
problem in interpreting medical data. Journal of the
Royal Statistical Society – Series A, 151 (3),
419-463.
SCARGLE, J.D. (2000). Publication bias : The "file-drawer
problem" in scientific inference. Journal of
Scientific Exploration, 14 (2), 91-106. [PDF]
CHALMERS, T.C., FRANK C.S. & REITMAN, D. (1990).
Minimizing the three states of publication bias. Journal
of American Medical Association, 263, 1392-1395.
DUVAL, S.J. & TWEEDIE, R.L. (2000). Trim and fill : A
simple funnel- plot-based method of testing and adjusting
for publication bias in meta-analysis. Biometrics, 56
(2), 455-463.
SHARP, D.W. (1990). What can and should be done to reduce
publication bias-the perspective of an editor. Journal
of the American Medical Association, 263 (10),
1390-1391.
DICKERSIN, K. (1990). The existence of publication bias
and risk factors for its occurrence. Journal of
American Medical Association, 263, 1385-1389.
STERNE, J.A., EGGER, M. & SMITH G.D. (2001).
Systematic reviews in healthcare : investigating and
dealing with publication and other biases in
meta-analysis. Britsh Medical Journal, 323, 101-105.
EASTERBROOK, P.J., BERLIN, J.A., GOPALAN, R. &
MATHEWS, D.R. (1991). Publication bias in clinical
research. Lancet, 337, 867-872.
GERBER, A.S., GREEN, D.P. & NICKERSON, D. (2001).
Testing for publication bias in political science.
Political Analysis, 9 (4), 385-392.
DICKERSIN, K., MIN, Y.I. & MEINERT, C.L. (1992).
Factors influencing the publication of research results :
Follow up of applications submitted to two institutional
review boards. Journal of the American Medical
Association, 267, 867-872.
MacASKILL, P., WALTER, S. & IRWIG, L. (2001). A
comparison of methods to detect publication bias in
meta-analysis. Statistics in Medicine, 20,
641-654.
DEAR, K.B.G. & BEGG, C.B. (1992). An approach for
assessing publication bias prior to performing a
meta-analysis. Statistical Science, 7 (2), 237-245.
OLSON, C.M., RENNIE, D., COOK, D., DICKERSIN, K. &
FLANAGIN, A. (2002). Publication bias in editorial
decision making. Journal of the American Medical
Association, 287, 2825-2828.
KLEIJNEN, J. & KNIPSCHILD, P. (1992). Review articles
and publication bias. Arzneimittel Forschung/Drug
Research, 42, 587-591.
SHATZ, D. (2004). Peer review : a critical inquiry.
Lanham : Rowman & Littlefield.
DICKERSIN, K. & MIN, Y. (1993). Publication bias : The
problem that won't go away. Annals of the New York
Academy of Sciences 703, 135-146.
CHAN, A.-W. KRIZA-JERIC, K., SCHMID, I. & ALTMAN, D.G.
(2004). Outcome reporting bias in randomized trials funded
by the Canadian Institutes of Health Research. Canadian
Medical Association Journal, 171, 735-740. [PDF]
DYER, O. (2004). Journal reverses decision on publishing
editorial previously rejected by marketing. British
Medical Journal, 328, 310.
NAKAGAWA, S. (2004). A farewell to Bonferroni : the
problems of low statistical power and publication bias.
Behavioral Ecology, 15 (6), 1044-1045.
SUTTON, A.J. (2005). Evidence concerning the consequences
of publication and related biases. In H.R. Rothstein, A.J.
Sutton & M. Borenstein (Eds.), Publication bias
in meta-analysis : Prevention, assessment and
adjustments (pp. 175-192). Chichester, England :
Wiley.
DICKERSIN, K. (2005). Publication bias : Recognizing the
problem understanding its origins and scope, and pre-
venting harm. In H.R. Rothstein, A.J. Sutton & M.
Borenstein (Eds.), Publication bias in meta-analysis
: Prevention, assessment and adjustments (pp.
11-33). Chichester, England : Wiley.
TERRIN, N., SCHMID, C.H & LAU, J. (2005). In an
empirical evaluation of the funnel plot, researchers could
not visually identify publication bias. Journal of
Clinical Epidemiology, 58 (9), 894-901.
HEDGES, L.V. & VEVEA, J. (2005). Selection model
approaches to publication bias. In H. Rothstein, A. Sutton
& M. Borenstein (Eds.), Publication bias in
meta-analysis. New York : John Wiley.
VEVEA, J.L. & WOODS, C.M. (2005). Publication bias in
research synthesis : Sensitivity analysis using a priori
weight functions. Psychological Methods, 10,
428-443.
BEGG, C.B. (1994). Publication bias. In H. Cooper &
L.V. Hedges (Eds.), The handbook of research
synthesis (pp. 399-409). New York : Sage.
CHAN, A.-W. & ALTMAN, D.G. (2005). Identifying outcome
reporting bias in randomised trials on PubMed : review of
publications and survey of authors. British Medical
Journal, 330, 753-756. [PDF]
BEGG, C.B. & MAZUMDAR, M. (1994). Operating
characteristics of a rank correlation test for publication
bias. Biometrics, 50, 1088-1099.
ROTHSTEIN, H.R., SUTTON, A.J. & BORENSTEIN, M. (Eds.)
(2005). Publication bias in meta-analysis :
Prevention, assessment, and adjustments. New York,
NY : Wiley. [PDF]
KATERNDAHL, D.A. (1994). Citation bias : supporting your
case in the extreme. The Family Practice Research
Journal, 14, 107-108.
KROMREY, J. & RENDINA-GOBIOFF, G. (2006). On knowing
what we do not know : An empirical comparison of methods
to detect publication bias in meta-analysis. Educational
& Psychological Measurement, 66, 357-373.
STERLING, T.D., ROSENBAUM, W.L. & WEINKAM, J.J.
(1995). Publication decisions revisited : The effect of
the outcome of statistical tests on the decision to
publish and vice versa. American Statistician, 49, 108-112.
[PDF]
STERN, J.M. (2006). Publication bias : Evidence of delayed
publication in a cohort study of clinical research
projects. British Medical Journal, 315, 640-645.
VEVEA, J.L. & HEDGES, L.V. (1995). A general linear
model for estimating effect size in the presence of
publication bias. Psychometrika, 60, 419-435.
PETERS, J.L., SUTTON, A.J., JONES, D.R, ABRAMS, K.R. &
RUSHTON, L. (2006). Comparison of two methods to detect
publication bias in meta-analysis. Journal of
American Medical Association, 295 (6), 676-680. [PDF]
IOANNIDIS, J.P.A. & TRIKALINOS, T. (2007). The
appropriateness of asymmetry tests for publication bias in
meta-analyses : A large survey. Canadian Medical
Association Journal, 176 (8), 1091-1096. [PDF]
ALLISON, D.B., FAITH, M.S. & GORMAN, B.S. (1996).
Publication bias in obesity treatment trials ?
International Journal of Obesity, 20, 931-937.
SCHONEMANN, P.H. & SCARGLE, J.D. (2008). A generalized
publication bias model. Chinese Journal of Psychology,
50, 21-29
HUBBARD, R. & ARMSTRONG, J.S. (1997). Publication bias
against null results. Psychological Reports, 80, 337-338.
[PDF]
DWAN, K., ALTMAN, D.G., ARNAIZ, J.A., BLOOM, J., CHAN,
A.W., CRONIN, E., DECULLIER, E., EASTERBROOK, P.J., VON
ELM, E., GAMBLE, C., GHERSI, D., IOANNIDIS, J.P., SIMES,
J. & WILLIAMSON, P.R. (2008). Systematic review of the
empirical evidence of study publication bias and outcome
reporting bias. PLOS One, 3 (8), 1-31. [PDF]
YOON,
J.M.D., JOHNSON, M.H. & CSIBRA, G. (2008).
Communication-induced memory biases in preverbal infants.
Proceedings of the National Academy of Sciences USA,
105, 13690-13695.
SILVERTON, J. & McCONWAY, K.J. (1997). Does
"publication bias"lead to biased science ? OIKOS, 79
(1), 167-168.
ROBINSON, D. (2008). Evidence-based medicine and
publication bias. Primary Psychiatry, 15, 30-33.
RINIOLO, T.C. (1997). Publication bias : A
computer-assisted demonstration of excluding
non-significant results from research interpretation.
Teaching of Psychology, 24, 279-282.
TURNER, E.H., MATTHEWS, A.M., LINARDATOS, E., TELL, R.A.
& ROSENTHAL, R. (2008). Selective publication of
antidepressant trials and its influence on apparent
efficacy. New England Journal of Medecine, 358 (3),
252-260. [PDF]
DICKERSEIN, K. (1997). How important is publication bias ?
A synthesis of available data. AIDS Education &
Prevention, 9 (S), 15-21.
PAREKH-BHURKE, S., KWOK, C.S., PANG, C., HOOPER, L., LOKE,
Y.K., RYDER, J.J., SUTTON, A.J., HING, C.B., HARVEY, I.
& SONG, F. (2011). Uptake of methods to deal with
publication bias in systematic reviews has increased over
time, but there is still much scope for improvement. Journal
of Clinical Epidemiology, 64 (4), 349-357.
TRAMER, M.R., REYNOLDS, D.J., MOORE, R.A. & MCcQUAY,
H.J. (1997). Impact of covert duplicate publication on
meta-analysis : a case study. British Medical
Journal, 315 (7109), 635-640.
FERGURSON, C.J. & HEENE, M. (2012). A vast graveyard
of undead theories : Publication bias and psychological
science's aversion to the null. Perspectives on
Psychological Science, 7, 555-561.
[PDF]
FRANCIS, G. (2012). Publication bias and the failure of
replication in experimental psychology. Psychonomic
Bulletin & Review, 19, 975-991. [PDF]
LAUPACIS, A. (1997). Methodological studies of systematic
reviews : Is there publication bias ? Archives of
Internal Medicine, 157, 357-358.
ROTHSTEIN, H.R. & BUSHMAN, B.J. (2012). Publication
bias in psychological science : Comment on Ferguson and
Brannick (2012). Psychological Methods, 17,
129-136.
STERN, J.M. & SIMES, R.J. (1997). Publication bias :
evidence of delayed publication in a cohort study of
clinical research projects. British Medical Journal,
315, 640-645.
TURNER, E.H., KNOEPFLMACHER, D. & SHAPLEY, L. (2012).
Publication bias in antipsychotic trials : An analysis of
efficacy comparing the published literature to the US Food
and Drug Administration Database. PLoS Medicine, 9
(3), 1-17. [PDF]
FRANCIS, G. (2012). Evidence that publication bias
contaminated studies relating social class and unethical
behavior. Proceedings of the National Academy of
Sciences, 109 (25), 1587. [PDF]
BANKS, G.C., KEPES, S., BANKS, K.P. (2012). Publication
bias : The antagonist of meta-analytic reviews and
effective policymaking. Educational Evaluation &
Policy Analysis, 34 (3), 259-277.
FRANCIS, G. (2012). Too good to be true : Publication bias
in two prominent studies from experimental psychology. Psychonomic
Bulletin & Review, 19, 151–156. [PDF]
FRANCIS, G. (2012). The same old new look : Publication
bias in a study of wishful seeing. i-Perception, 3 (3),
176-178.
FERGURSON, C.J. & BRANNICK, M.T. (2012). Publication
bias in psychological science : Prevalence, methods for
identifying and controlling and implications for the use
of meta-analyses. Psychological Methods, 17 (1),
120-128. [PDF]
PETTIGREW, M. (1998). Diagoras of Melos (500 BC): An early
analyst of publication bias. The Lancet, 352 (9139),
1558.
JANNOT, A.-S., AGORITSAS, T., GAYET-AGERON, A. &
PERNEGER TV. (2013). Citation bias favoring statistically
significant studies was present in medical research. Journal
of Clinical Epidemiology, 66, 296-301.
BERLIN, J.A. (1998). Publication bias in clinical research
: Outcome of projects submitted to ethics committees. In
J.A., Perman & J. Rey (Eds.), Clinical trials in
infant nutrition. Nestlé Nutrition Workshop (Vol.
40). Philadelphia : Vevet-Lippincott-Raven Publishers.
FRANCIS, G. (2013). Replication, statistical consistency,
and publication bias. Journal of Mathematical
Psychology, 57, 153-169. [PDF]
STEICHEN, T.J. (1998). Tests for publication bias in
meta-analysis. Stata Technical Bulletin, 41,
9-15.
SONG, F., HOOPER, L. & LOKE, Y.K. (2013). Publication
bias : what is it ? How do we measure it ? How do we avoid
it ? Open Access Journal of Clinical Trials, 5, 71-81.
[PDF]
JONES, C.W., HANDLER, L., CROWELL, K.E., KEIL, L.G.,
WEAVER, M.A. & PLATTS-MILLS, T.F. (2013).
Non-publication of large randomized clinical trials :
Cross sectional analysis. British Medical Journal,
347. [LIRE]
TURNER, E.H. (2013). Publication bias, with a focus on
psychiatry : Causes and solutions. CNS Drugs, 27, 457-468.
[PDF]
CARTER, E.C. & McCULLOUGH, M.E. (2014). Publication
bias and the limited strength model of self-control : Has
the evidence for ego depletion been overestimated ? Frontiers
in Psychology, 5 [823], 1-11. [PDF]
MALHOTRA, F.A. & SIMONOVITS, G. (2014). Publication
bias in the social sciences : Unlocking the file drawer. Science,
345 (6203), 1502-1505.
SIMONSOHN, U., NELSON, L.D. & SIMMONS, J.P. (2014).
p-curve and effect size : Correcting for publication bias
using only significant results. Perspectives on
Psychological Science, 9 (6), 666-681.
STANLEY, T.D. & DOUCOULIAGOS, H. (2014).
Meta-regression approximations to reduce publication
selection bias. Research Synthesis Methods, 5
(1), 60-78.
EVERY-PALMER, S. & HOWICK, J. (2014). How
evidence-based medicine is failing due to biased trials
and selective publication. Journal of Evaluation in
Clinical Practice, 20 (6), 908-914. [PDF]
COBURN, K.M. & VEVEA, J.L. (2015). Publication bias as
a function of study characteristics. Psychological
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accomplished, more important ones remain' : commentary on
Every-Palmer, S., Howick, J. (2014) How evidence-based
medicine is failing due to biased trials and selective
publication. Journal of Evaluation in Clinical
Practice, 21 (3), 518-528.
SIGELMAN, L. (1999), Publication bias reconsidered. Political
Analysis, 8 (2), 201-210.
McSHANE, B.B., BÖCKENHOLT, U. & HANSEN, K.T. (2016).
Adjusting for publication bias in meta-analysis : An
evaluation of selection methods and some cautionary notes.
Perspectives on Psychological Science, 11 (5),
730-749.
TAYLOR, S. & TWEEDIE, R. (1999). Practical
estimates of the effect of publication bias in
meta-analysis. University of Colorado preprint.
CITKOWICZ, M. & VEVEA, J.L. (2017). A parsimonious
weight function for modeling publication bias.
Psychological Methods, 22 (1), 28-41.
SONG, F., EASTWOOD, A., BILBODY, S. & DULEY, L.
(1999). The role of electronic journals in reducing
publication bias. Medical Information, 24,
223-229.
VAN EART, R.C.M., WICHERTS, J.M. & VAN ASSEN, M.A.L.M.
(2019). Publication bias examined in meta-analyses from
psychology and medicine : A meta-meta-analysis. PLOS
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VAN EART, R.C.M. & NIEMEYER, H. (2021). Publication
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Biais de recrutement :Biais
d'échantillonage engendré surtout par les recherches
parraînées ou subventionnées par des institutions (hôpitaux,
université, etc) qui recrutent leurs participants au sein de sa
propre clientèle (ou usagers ou bénéficiares ou membres), laquelle
est rarement représentative de l'ensemble de la population.
Biais
de réponse : Type de biais
inhérent à l'usage des rapport
verbaux pour évaluer/mesurer les phénomènes, notamment les
phénomènes psychologiques.
Response bias.
GOODFELLOW, M., KIERNAN, N., AHERN, F. & SMYER, M.A.
(1988). Response bias using two-stage data collection : A
study of elderly participants in a program. Evaluation
Review, 12 (6), 638-654.
PAULHUS, D. (1991). Measurement and control of response
bias. In. P. Robinson, P.R. Shaver & S. Wrightsman
(Eds.), Measures of personality and social
psychological attitudes (pp. 17-59). New York :
Academic Press.
KAPUCU, A., ROTELLO, M.C. READY, R.E. & SEIDI, K.N.
(2008). Response bias in "remembering" emotional stimuli :
A new perspective on age differences. Journal of
Experimental Psychology : Learning, Memory, &
Cognition, 34 (3), 703-711. [PDF]
Biais de représentativité : Biais cognitif
qui consiste à fonder
son jugement et ses décisions
sur des expériences personnelles (quelques cas qui ne sont
pas nécessairement représentatifs de l'ensemble des cas) plutôt
que sur des statistiques ou des données scientifiques éprouvées.
Ce biais existe également en science (biais
d'échantillonnage).Conjunction fallacy.
Biais du parieur : Biais cognitif qui consiste à
croire que, lors d'un jeu de hasard comme les machines à sous des
casinos, si un résultat peu probable est obtenu - par
exemple le numéro 7 ne sort plus depuis une heure - ce
résultat peu probable sera compensé lors des tirages
aléatoires suivants et le 7 sortira alors plus souvent qu'à son
tour, ce qui convaincra le joueur de parier sur ce numéro. Ici le
parieur ne raisonne pas de manière logique, il croit à tort à
l'existence d'un mécanisme de compensation qui aurait pour
fonction de rendre «normalement probable» un phénomène trop
fréquent ou trop peu fréquent. Il va de soi que l'on pourrait ainsi
programmer une machine à sous, mais qu'un tel mécanisme n'existe
pas si tout les tirages sont en nombre fini, s'ils sont
indépendant et aléatoires, ce qui est normalement le cas des
machines à sous légales. Par contre, ce «méacanisme» existe si le
nombre de tirage est infifni : le numéro sept finira par sortir
aussi souvent que les autres numéros. Gambler
fallacy.
GIDEON, K. & CROSON, R. (1994). The two fallacies of
gamblers : Type I and Type II. Organizational Behavior
& Human Decision Processes, 60 (1), 75–89.
SUNDALI, J. & CROSON, R. (2006). Biases in
casino betting : The hot hand and the gambler's fallacy. Judgment
& Decision Making, 1,? 1–12.
ROGERS, P. (1998). The cognitive psychology of lottery
gambling : A theoretical review. Journal of Gambling
Studies, 14 (2), 111–134.
OPPENHEIMER, D.M. & MONIN, B. (2019). The
retrospective gambler's fallacy : Unlikely events,
constructing the past, and multiple universes. Judgment
& Decision Making, 4 (5), 326–334.
BURNS, B.D. & CORPUS, B. (2004). Randomness and
inductions from streaks : "Gambler's fallacy" versus "hot
hand".Psychonomic Bulletin & Review, 11 (1),
179–-184.
HUBER, J., KIRCHLER, M. & STOCKL, T. (2010). The
hot hand belief and the gambler's fallacy in
investment decisions under risk. Theory
& Decision,
68 (4), 445–-462.
AYTON, P. & FISHER, I. (2004). The hot-hand
fallacy and the gambler's fallacy : Two faces of
subjective randomness ? Memory & Cognition, 32
(8),1369–-1378.
XUE, G., LU, Z., LEVIN, P. &
BECHARA, A. (2011). An fMRI study of risk-taking
following wins and losses : Implications for the gambler's
fallacy. Human Brain Mapping, 32 (2),
271–-281.
SAMUELSON, W. & ZECKHAUSER, R. (1988). Status quo
biais decision making. Journal of Risk &
Uncertainty, 1 (1), 7-59.
BROWN, A.L. & KAGEL, J.H. (2009). Behavior in a
simplified stock market : The status quo bias, the
disposition effect and the ostrich effect. Annals of
Finance, 5 (1), 1-14.
LI, J., REN, G., MA, Q. & LIU, L. (2009). An
experimental study on investors’ status quo bias and its
determinants. Frontiers of Business Research in China,
3 (4), 543-565.
Biais du volontaire spontané :Biais
créé par le fait que des sujets
choisissent eux-mêmes de participer
à une recherche, en
se portant volontaires, parce qu'ils considèrent qu'il pourrait
profiter des effets ou des retombées de cette recherche. =
biais d'auto-affection. Volunteer bias.
WOLCHIK, S.A., SPENCER, S.L. & LISI, I.S. (1983).
Volunteer bias in research employing vaginal measures of
sexual arousal. Archives of Sexual Behavior, 12, 399-408.
Biais
écologique :Biais dans l'analyse
des données statistiques qui consiste à croire que ce que
l'on observe dans un groupe ou un échantillon existe forcément
chez les individus de ce groupe/échantillon. Ecological
fallacy, ecological inference fallacy or population fallacy,
ecological inference problem.
ROBINSON, W.S. (1950). Ecological correlations and the
behavior of individuals. American Sociological Review,
15, 351-357.
GREENLAND, S. & ROBINS, J. (1994). Invited commentary
: ecologic studies-biases, misconceptions, and
counterexamples. American Journal of Epidemiology,
139, 747-760.
DUNCAN, O.D. & DAVIS, B. (1953). An alternative to
ecological correlation. American Sociological Review,
18, 665-666.
KING, G. (1997). A solution to the ecological
inference problem. Princeton University Press.
GOODMAN, L. (1953). Ecological regression and the behavior
of individuals. American Sociological Review, 18, 663-664.
FREEDMAN, D.A., KLEIN S.P., OSTLAND M. & ROBERTS, M.
(1998). Review of a solution to th eecologica inference
problem. Journal of the American Statistical
Association, 93, 1518-1522.
[PDF]
GOODMAN, L. (1959). Some alternatives to ecological
correlation. American Journal of Sociology, 64,
610-625.
SCHUESSLER, A.A. (1999). Ecological inference. Proceedings
of the National Academy of Sciences USA, 96,
10578-10581.
[PDF]
FREEDMAN, D.A. (1999). Ecological inference and the
ecological fallacy. International Encyclopedia of the
Social & Behavioral Sciences, Technical Report No.
549.
[PDF]
FREEDMAN, D.A. (2004). The ecological fallacy. In M.
Lewis-Beck, A. Bryman & T.F. Liao, (Eds), The
encyclopedia of social science research methods (Vol.
1, pp. 293). Sage Publications. [LIRE]
Biais en faveur du naturel : Ce biais
cognitif concernent autant aux objets (a) qu'aux
humains (b). Il consiste à préférer toute cchose qui
provient de la nature, ou qui a été moins transformé, pluôt que
des objets ayant subis des transformations. On oppose souvent
«naturel» à «chimique» ou à «artificiel» ou à «additif», des
qualificatifs généréralement percus comme peu enviables. Ce biais
concerne également les personnes à qui on l'accorde davantage de
mérite si elle réalise les choses rapidement et sans effort (= un
talent naturel) plutôt que si elles peinent pour y parvenir.
On dira de l'individu qui apprend sans effort ou qui performe sans
entraînement qu'elle un naturel.
Naturalness bias.
a
ROZIN, P., PRANC, M., KRIWGWR, Z., NEUHAUS, R., SURILLO,
D., SWERDLIN, A. & WOOD, K. (2004). Preference for
natural : Instrumental and ideational/moral motivations,
and the contrast between foods and medicines. Appetite,
43, 147-154.
MEIER, B.P. & LAPPAS, C.M. (2016). The influence of
safety, efficacy, and medical condition severity on
natural versus synthetic drug preference. Medical
Decision Making, 36, 1011-1019.
LI, M. & CHAPMAN, G.B. (2012). Why do people like
natural ? Instrumental and ideational bases for the
naturalness preference. Journal of Applied Social
Psychology, 42, 2859-2878.
McMAHAN, E.A. & JOSH, P. (2017). Measuring preference
for natural versus built environments : Initial validation
of the preference for nature questionnaire. Ecopsychology,
9 (3), 161-171.
BYRON, M.J., BAIG, S.A., MORACCO, K.E. & REWER, N.T.
(2015). Adolescents' and adults' perceptions of "natural",
"Organic" and "additive-free" cigarettes, and the required
disclaimers. Tobacco Control, 25, 517-520.
MEIER, B.P., OSORIO, E., DILLARD, A.J. & LAPPAS, C.M.
(2019). A behavioral confirmation and reduction of the
natural versus synthetic drug bias. Medical Decision
Making, 39, 359-369.
MEIER, B.P., DILLARD, A.J. & LAPPAS, C.M. (2019).
Naturally better ? A review of the natural-is-better bias.
Social & Personality Psychology Compass, 13
(8),
b
TSAY, C.-J. & BANAJI, M. (2011). Naturals and strivers
: Preferences and beliefs about sources of achievement.
Journal of Experimental Social Psychology, 47, 460-465.
TSAY, C.-J. (2016).Privileging naturals over strivers :
The costs of the naturalness bias. Personality &
Social Psychology Bulletin, 42 (1) 40–53.
Biais
intergroupe :Biais qui consiste
à favoriser les membres de son groupe
(intra ou groupe
endogène) au détriment des individus qui n'en font pas
partie ou qui sont membres
d'un autre groupe (intergroupe).
Biais intergroupe, identité
collectiveet népotisme.In-group-out-group bias, in-group bias, or
intergroup bias, ingroup favoritism.
RABBIE, J.M. & HORWITZ, M. (1969). Arousal of
ingroup-outgroup bias by a chance win or loss. Journal
of Personality & Social Psychology, 13,
269–277.
BETTENCOURT, B.A., DOOR, N., CHARLTON, K. & HUME, D.L.
(2001). Status differences and in-group bias : A
meta-analytic examination of the effects of status
stability, status legitimacy, and group permeability.
Psychological Bulletin, 127, 520-542.
DION, K.L. (1973). Cohesiveness as a determinant of
ingroup-outgroup biais. Journal of Personality &
Social Psychology, 28, 163-171.
VERKUYTEN, M. (2003). Ethnic in-group bias among minority
and majority early adolescents : The perception of
negative peer behaviour. British Journal of
Developmental Psychology, 21, 543–565.
RUDMAN, L.A. & GOODWIN, S.A. (2004). Gender
differences in automatic in-group bias : Why do women like
women more than men like men ? Journal of Personality
& Social Psychology, 87, 494-509.
BREWER, M.B. & SILVER, M. (1978). Ingroup biais as a
function of task characteristics. European Journal of
Social Psychology, 8, 393-400.
ABRAMS, D. (2011). Wherein lies children’s intergroup bias
? Egocentrism, social understanding, and social
projection. Child Development, 82, 1579–1593.
BREWER, M.B. (1979). In-group biais in the minimal
intergroup situation : A cognitive-mtovational analysis. Psychological
Bulletin, 86 (2), 307-324. [PDF]
HETHERINGTON, C., HENDRICKSON, C. & KOENIG, M. (2014).
Reducing an in-group bias in pre-school children : The
impact of moral behaviour. Developmental Science, 17,
1042–1049.
GAERTNER, S.L., MANN, J.A., DOVIDIO, J.F., MURRELL, A.J.
& POMARE, M. (1990). How does cooperation reduce
intergroup bias ? Journal of Personality & Social
Psychology, 59, 692-704.
RANSOM, M.R., KAST, C. & SHELLY, R.K. (2015).
Self-enhancement, self-protection and ingroup biais.
Current Research in Social Psychology, 23, 56-65. [PDF]
GAERTNER, S.L., MANN, J.A., DOVIDIO, J.F., MURRELL, A.J.
& POMARE, M. (1990). How does cooperation reduce
intergroup bias ? Journal of Personality & Social
Psychology, 59, 692-704.
EVERETT, J.A.C., FABER, N.S. & CROCKETT, M. (2015).
Preferences and beliefs in ingroup favoritism. Preferences
and beliefs in ingroup favoritism. Frontiers in
Behavioral Neuroscience, 9 [15], 1-21.
SIERKSMA, J., THIJS, J., VERKUYTRN, M. (2015). In-group
bias in children’s intention to help can be overpowered by
inducing empathy. British Journal of Developmental
Psychology, 33 (1), 45–56.
GAERTNER, S.L., DOVIDIO, J.F., ANASTASIO, P.A.,
BACHMAN, B.A. & RUST, M.C. (1993). The common ingroup
identity model : Recategorization and the reduction of
intergroup bias. European Review of Social
Psychology, 4, 1-26.
RUTLAND, A., HITTI, A., MULVEY, K.L., ABRAMS, D. &
ILLEN, M. (2015). When does the in-group like the
out-group ? Bias among children as a function of group
norms. Psychological Science, 26, 834–842.
GAERTNER, S.L., RUST, M.C., DOVIDIO, J.F., BACHMAN, B.A.
& ANASTASIO, P.A. (1994). The contact hypothesis : The
role of a common ingroup identity on reducing intergroup
bias. Small Groups Research, 25 (2), 224-249.
GONZALEZ, G., BLAKE, P.R., DUNHAM, Y. & McAULIFFE, K.
(2020). Ingroup bias does not influence inequity aversion
in children. Developmental Psychology, 56, 1080–1091.
DOVIDIO, J.F., GAERTNER, S.L. & VALIDZIC, A.
(1998). Intergroup bias : Status, differentiation, and a
common in-group Identity. Journal of Personality &
Social Psychology, 75, 109-120.
VERKUYTEN, M. (2023). Group identity and in-group bias :
The social identity approach. Human Development, 65 (5-6),
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Biais méthodologique : Ensemble des biais, que l'on peut regrouper en trois familles, qui affaiblissent la validité d'une recherche scientifique et, partant, sa capacité à décrire objectivement son objet d'étude et à expliquer la relation entre X
et Y chez X.
Method bias.
PODSAKOFF, P.M. MACKENZIE, S.B., LEE, J.-Y. &
PODSAKOFF, N.P. (2003). Common method biases in behavioral
research : A critical review of the literature and
recommended remedies. Journal of Applied Psychology,
88 (5), 879-903.
Biais racial : Biais qui consiste à attribuer de fausses caractéristiques à des individus que l'on classe ou juge selon l'apparence
et la race. Race bias, implicit racial association, ethnic bias.
HUNTER, J.E. & SCHMIDT, F.L.
(2000). Racial and gender bias in ability and
achievement tests : Resolving the apparent paradox. Psychology,
Public Policy, & Law, 6 (1), 151–158.
AMODIO, D.M., DEVINE, P.G. & HARMON-JONES, E. (2008).
Neural signals for the detection of race bias :
Implications for individual differences in regulatory
ability. Journal of Personality & Social
Psychology, 94, 60-74.
[PDF]
KNOWLES, J., PERSICO, N. & TODD, P. (2001). Racial
bias in motor-vehicle searches : Theory and evidence.
Journal of Political Economy, 109 (1), 203-229.
KAUFMAN, J.C. (2010). Using creativity to reduce ethnic
bias in college admissions. Review of General
Psychology, 14, 189-203.
DEVINE, P.G., PLANT, E.A., AMODIO, D.M., HARMON-JONES, E.
& VANCE, S.L. (2002). The regulation of explicit and
implicit race bias : The role of motivations to respond
without prejudice. Journal of Personality & Social
Psychology, 82, 835-848.
KUBOTA, J.T., LI, J., BAR-DAVID, E., BANAJI, M.R. &
PHELPS, E.A. (2013). The price of racial bias : intergroup
negotiations in the ultimatum game. Psychological
Science, 24, 2498-2504.
ASHBURN-NARDO, L., KNOWLES, M.L. & MONTEITH, M. J.
(2003). Black Americans' implicit racial associations and
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FRANCIS, G. (2015). Excess success for three related
papers on racial bias. Frontiers in Psychology :
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AMODIO, D.M., HARMON-JONES, E. & DEVINE, P.G. (2003).
Individual differences in the activation and control of
affective race bias as assessed by startle eye blink
responses and self-report. Journal of Personality
& Social Psychology, 84, 738-753.
FRANCIS, G. (2016). Implications of "too good to be true"
for replication, theoretical claims, and experimental
design : An example using prominent studies of racial
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[PDF]
Biais rétrospectif : Biais qui consiste à juger, après coup, qu'un événement ou un comportement était
prévisible ou probable. = biais de
jugement à posteriori, raisonnement de type «Ha ! je vous l'avais
bien dit ! » ou «C'était écrit dans le ciel ! », prédire le passé.
Hindsight.
HAWKINS, S.A. & HASTIE, R. (1990). Hindsight : Biased
judgments of past events after the outcomes are known.
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POHL, R.F., BAYEN, U.T. & MARTIN, C. (2010). A
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CHRISTENSEN-SZALANSKI, J.J.J. & WILLHAM, C.F. (1991).
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MARKS, M.A.Z. & ARKES, H.R. (2010). The effects of
mental contamination on the hindsight bias : Source
confusion determines success in disregarding
knowledge.Journal of Behavioral Decision
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POHL, R.F. & GAWLIK, B. (1995). Hindsight bias and
misinformation effect : Separating blended recollections
from other recollection types. Memory, 3 (1),
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BERNSTEIN, D.M., ERFELDER, E., MELTZOFF, A.N., PERIA, W.
& LOFTUS, G.R. (2011). Hindsight bias from 3 to 95
years of age. Journal of Experimental Psychology :
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POHL, R.F. (1995). Disenchanting hindsight bias. In J.-P.
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POHL, R.F. & HELL, W. (1996). No reduction of
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testing. Organizational Behavior & Human Decision
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PEZZO, M.V. (2011). Hindsight bias : A primer for
motivational researchers. Social & Personality
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POHL, R.F. (1998). The effects of feedback source and
plausibility on hindsight bias. European Journal of
Cognitive Psychology, 10 (2), 191-212.
KERR, N.L. (1998). HARKing : Hypothesizing after the
results are known. Personality & Social
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STAHLBERG, D. & MAASS, A. (1998). Hindsight bias :
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POHL, R.F., BENDER, M. & LACHMANN, G. (2002).
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POHL, R.F., SCHWARZ, S., SCZESNY, S. & STAHLBERG, D.
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ARKES, H.R. (2013). The consequences of the hindsight bias
in medical decision making. Current Directions in
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HOFFAGE, U. & POHL, R.F. (2003). Research on hindsight
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COOLIN, A., BERNSTEIN, D.M., THORTHON, A.E. &
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HARDT, O. & POHL, R.F. (2003). Hindsight bias as a
function of anchor distance and anchor plausibility.
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POHL, R.F., HEISENHAUER, M. & HARDT, O. (2003). SARA :
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BLANK, H., MUSCH, J. & POHL, R.F. (2007). Hindsight
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Bloc de construction : Voir Jeu de construction.= Lego.
Blokcbuilding, block play, lego blocks.
Blocage
:Effet de
masquage résultant d'une expérience de conditionnement
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sur lequel un internaute
rédige des billets d'humeur et des rubriques d'opinions sur des
sujets divers, généralement présentés dans un ordre chronologique
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ce blogue peuvent réagir en écrivant un commentaire.
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Bouc
émissaire : Dans certaines théories
du pouvoir,
individu ou groupe
occupant le bas de la hiérarchie
sociale et qui, de ce fait, est victime de préjugés
(on lui attribue faussement des torts, on diminue leur valeur), de
discrimination (on
refuse de les choisir, de les nommer à des postes, on les exclut
socialement) et parfois de violence
(On les déporte, on les extermine). Certaines théories avancent
que la fonction des bouc émissaire est de permettre au groupe de déplacer
leur agressivité vers
des individus faibles qui ne peuvent se défendre ou répliquer.
EX: Le peuple Juif a été le bouc émissaire des Allemands avant et lors de la seconde guerre mondiale.
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Boucle
phonatoire/phonologique : Concept développé par Baddeley
et Hitch. Il s'agit d'une
fonction cognitive de la mémoire
de travail(mémoire
phonologique) ayant pour tâche le traitement de la parole
et des informations verbales. Elle est composée d'un mémoire
tampon phonologique et d'un contrôle
articulatoire (ou processus d'autorépétition subvocale) des
informations. = boucle articulatoire,
boucle phonologique, récapitulation articulatoire. Phonological
loop, phonological processing, articulatory loop.
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Professeur de Stevens.
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:Intention
explicite d'agir, d'émettre un
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savoir comment = plan).
La relation entre le but et le comportement a notamment été mis en
évidence par Tolman.Goal,
goal seeking, purpose, personnal goal.
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But(s)
(Conflit) :Conflit
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Le but ultime est de tout savoir (et dominer le monde !), mais
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le simulant ou, finalement, en le contrôlant.
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Claude
Goulet/2003© l Comment citer ce lexique 
l
Notre mission : Explorer la nébuleuse Psy !
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