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Understanding and Using the Brief Implicit Association Test: Recommended Scoring Procedures
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Abstract
A brief version of the Implicit Association Test (BIAT) has been introduced.The present research identified analytical best practices for overall psychometric performance of the BIAT.In 7 studies and multiple replications, we investigated analytic practices with several evaluation criteria: sensitivity to detecting known effects and group differences, internal consistency, relations with implicit measures of the same topic, relations with explicit measures of the same topic and other criterion variables, and resistance to an extraneous influence of average response time.The data transformation algorithms D outperformed other approaches.This replicates and extends the strong prior performance of D compared to conventional analytic techniques.We conclude with recommended analytic practices for standard use of the BIAT. Understanding and Using the Brief Implicit Association Test: I. Recommended Scoring ProceduresEven the most brilliant research ideas can flounder if data collection procedures and data analytic strategies applied in the pursuit of these ideas are suboptimal.Research efficiency, the knowledge gained in proportion to resources invested, can be improved by maximizing the quality of procedural and analytical methods.Numerous paradigms in mental chronometry, such as Stroop and lexical-decision tasks, define constructs derived from contrasting response latencies between performance conditions [1].The Implicit Association Test (IAT) [2] is a
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“Una limitación general de los auto-reportes es que la actitud u otra medida consciente reportada puede ser exagerada o suprimida de manera intencional.”
From El estudio de la polarización afectiva: una mirada metodológica (2022) · cites this paper as Nosek et al., 2014
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“Esto es particularmente relevante en temas sensibles, en los que existe mucha presión social para no expresar públicamente ciertas opiniones o actitudes, como puede ser, por ejemplo, la discriminación racial (Nosek et al., 2014).”
From El estudio de la polarización afectiva: una mirada metodológica (2022) · cites this paper as Nosek et al., 2014
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Cites
Society and the Adolescent Self-Image
Lee, D. J. (1969) · Sociology · doi:10.1177/003803856900300250 · Cited by 22,796 · cited 2×
“Self-reported attitudes and individual difference measures Each participant received a random selection of self-report measures including (a) 7-point relative preference for Democrats compared to Republicans, White people compared to Black people, and Self compared to Other; (b) 11-point warmth ratings for each of tho…”
Society and the adolescent self-image
Stoodley, B. H., & Rosenberg, M. (1966) · American Sociological Review · doi:10.2307/2091308 · Cited by 16,818
Measuring individual differences in implicit cognition: the implicit association test
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.6.1464 · Cited by 9,210 · cited 3×
“Also, the order of measurement blocks is a well-known influence on response latency measures like the IAT [2, 24].”
BackgroundSelf-citationUnderstanding and using the Implicit Association Test: I. An improved scoring algorithm.
Greenwald, A. G., Nosek, B. A., & Banaji, M. R. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.2.197 · Cited by 5,815 · cited 10×
“Assessments that minimize random error in measurement of height and weight will maximize their correlation, getting it closest to the true correlation (assuming that the assessments are not influenced by the same extraneous influence; see also [7]).”
BackgroundMethodInfluentialSelf-citationUnderstanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.
Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0015575 · Cited by 3,257 · cited 1×
“Also, the BIAT has found application in many studies already [10–13] The present studies analyzed data from a very large data collection in a study that administrated a random selection of measures of attitudes regarding race, politics and the self from a large pool of possible indirect and direct attitude measures [1…”
MethodSelf-citationFazio, R. H., Jackson, J. R., Dunton, B. C., & Williams, C. J. (1995) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.69.6.1013 · Cited by 1,793 · cited 1×
“Other implicit measures In addition to Brief IATs measuring the three topics of interest, participants were randomly assigned to complete one or more of seven other implicit measures about the same topics – the IAT, Go/No-go Association Task (GNAT) [27], single-target (ST-IAT) [28], Sorting Paired Features [29], Evalu…”
MethodAn inkblot for attitudes: Affect misattribution as implicit measurement.
Payne, B. K., Cheng, C. M., Govorun, O., & Stewart, B. D. (2005) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.89.3.277 · Cited by 1,371 · cited 1×
“Other implicit measures In addition to Brief IATs measuring the three topics of interest, participants were randomly assigned to complete one or more of seven other implicit measures about the same topics – the IAT, Go/No-go Association Task (GNAT) [27], single-target (ST-IAT) [28], Sorting Paired Features [29], Evalu…”
MethodHarvesting implicit group attitudes and beliefs from a demonstration web site.
Nosek, B. A., Banaji, M. R., & Greenwald, A. G. (2002) · Group Dynamics: Theory, Research, and Practice · doi:10.1037/1089-2699.6.1.101 · Cited by 1,321 · cited 1×
“Both elicit strong effects favoring whites to blacks and self to others respectively [15–17].”
BackgroundSelf-citationPervasiveness and correlates of implicit attitudes and stereotypes
Nosek, B. A., Smyth, F. L., Hansen, J. J., Devos, T., Lindner, N. M., Ranganath, K. A., Smith, C. T., Olson, K. R., Chugh, D., Greenwald, A. G., et al. (2007) · European Review of Social Psychology · doi:10.1080/10463280701489053 · Cited by 1,247 · cited 1×
“Likewise, Black and White people have different implicit racial attitudes – each more inclined to show positivity toward their own racial group, though Whites more so – providing another group difference criterion [16].”
BackgroundSelf-citationUnderstanding and Using the Implicit Association Test: II. Method Variables and Construct Validity
Nosek, B. A., Greenwald, A. G., & Banaji, M. R. (2004) · Personality and Social Psychology Bulletin · doi:10.1177/0146167204271418 · Cited by 1,216 · cited 1×
“Also, the order of measurement blocks is a well-known influence on response latency measures like the IAT [2, 24].”
BackgroundSelf-citation
Research works printed but not linked: 1
- Greenwald AG, Nosek BA (2008) Attitudinal dissociation: What does it mean? In: Petty RE, Fazio RH, Brinol Peditors. Attitudes: Insights from the new implicit measures. Hillsdale, NJ: Erlbaum. pp.65–82.
Cited by
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Reducing implicit racial preferences: I. A comparative investigation of 17 interventions.
Lai, C. K., Marini, M., Lehr, S. A., Cerruti, C., Shin, J.-E. L., Joy-Gaba, J. A., Ho, A. K., Teachman, B. A., Wojcik, S. P., Koleva, S. P., et al. (2014) · Journal of Experimental Psychology General · doi:10.1037/a0036260 · Cited by 719
“For Study 3, about half the participants were randomly assigned to complete the race Multi-Category Implicit Association Test (MC-IAT; Nosek et al., 2014).”
Self-citationPeterson, E., Rubie-Davies, C., Osborne, D., & Sibley, C. (2016) · Learning and Instruction · doi:10.1016/j.learninstruc.2016.01.010 · Cited by 274
The Rules of Implicit Evaluation by Race, Religion, and Age
Axt, J. R., Ebersole, C. R., & Nosek, B. A. (2014) · Psychological Science · doi:10.1177/0956797614543801 · Cited by 169
Self-citationTowards greater understanding of addiction stigma: Intersectionality with race/ethnicity and gender
Kulesza, M., Matsuda, M., Ramirez, J. J., Werntz, A. J., Teachman, B. A., & Lindgren, K. P. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.10.020 · Cited by 188
“Scoring procedures adhered to the recommendations by Greenwald and colleagues (Greenwald et al., 2003; Nosek et al., 2012).”
MethodGender differences in implicit and explicit personality traitsPreprint
Vianello, M., Schnabel, K., Sriram, N., & Nosek, B. A. (2013) · Personality and Individual Differences · doi:10.2139/ssrn.2249080 · Cited by 122
“), which is computed as the difference between mean latencies of the two BIAT blocks divided by the standard deviation of latencies in the two blocks (Nosek et al., 2013).”
Self-citationRichetin, J., Costantini, G., Perugini, M., & Schönbrodt, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129601 · Cited by 119
Theodoridis, A. G. (2017) · The Journal of Politics · doi:10.1086/692738 · Cited by 117
The Best Way to Measure Explicit Racial Attitudes Is to Ask About Them
Axt, J. R. (2017) · Social Psychological and Personality Science · doi:10.1177/1948550617728995 · Cited by 109
Self-citationMeasuring Automatic Cognition: Advancing Dual-Process Research in Sociology
Miles, A., Charron-Chénier, R., & Schleifer, C. (2019) · American Sociological Review · doi:10.1177/0003122419832497 · Cited by 85
“This makes the BIAT particularly useful to sociologists, for whom study length and respondent fatigue are often concerns (Nosek et al. 2014).”
BackgroundBrief loving-kindness meditation reduces racial bias, mediated by positive other-regarding emotions
Stell, A. J., & Farsides, T. (2015) · Motivation and Emotion · doi:10.1007/s11031-015-9514-x · Cited by 87
McPhetres, J., Jong, J., & Zuckerman, M. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550620923239 · Cited by 76
“However, we also employed a widely used technique to assess implicit belief: the single-category implicit association test (Jong et al., 2012; Karpinski & Steinman, 2006; Nosek et al., 2014).”
MethodBridging cultural sociology and cognitive psychology in three contemporary research programmes
Lamont, M., Adler, L., Park, B. Y., & Xiang, X. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0242-y · Cited by 73
“While IAT is the object of considerable controversy among organizational psychologists 56 and social psychologists 57 , as well as in the popular press 58 , the consensus is that it outperforms other indirect measures of biases in terms of internal validity 54,59 .”
Fluidity of gender identity induced by illusory body-sex change
Tacikowski, P., Fust, J., & Ehrsson, H. H. (2020) · Scientific Reports · doi:10.1038/s41598-020-71467-z · Cited by 79
Patel, N., Patel, S., Cotti, E., Bardini, G., & Mannocci, F. (2018) · JDR Clinical & Translational Research · doi:10.1177/2380084418812886 · Cited by 65
Admired Rich or Resented Rich? How Two Cultures Vary in Envy
Wu, S. J., Bai, X., & Fiske, S. T. (2018) · Journal of Cross-Cultural Psychology · doi:10.1177/0022022118774943 · Cited by 79
“First, the recommended IAT scores assess faster or slower sorting of target social groups with characteristic attributes (Nosek et al., 2014).”
Interpreting and inverting with less cursing: A guide to interpreting IRAP data
Hussey, I., Thompson, M., McEnteggart, C., Barnes‐Holmes, D., & Barnes‐Holmes, Y. (2015) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2015.05.001 · Cited by 52
Suslow, T., Lindner, C., Kugel, H., Egloff, B., & Schmukle, S. C. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.04.023 · Cited by 56
Hedge, C., Powell, G., Bompas, A., Vivian-Griffiths, S., & Sumner, P. (2018) · Psychological Bulletin · doi:10.1037/bul0000164 · Cited by 67
Fiscella, K. A., Epstein, R. M., Griggs, J. J., Marshall, M., & Shields, C. G. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257794 · Cited by 56
“More detailed descriptions of the IAT are available [35].”
BackgroundMethodJosefsson, K., Bergenzaun, L., Svensson, S., Lundqvist, S., Peterson, P., & Lindberg-Sand, Å. (2018) · doi:10.1016/s0262-4079(18)30070-8 · Cited by 51
“A d-score (algorithm from Nosek et al., 2014) of the average reaction times for stereotypecongruent pairings versus stereotype-incongruent pairings represents participants’ gender stereotypical implicit associations, with positive numbers indicating a stereotypic Engineering = Male association.”
Early Gender Differences in Core Values Predict Anticipated Family Versus Career Orientation
Block, K., Gonzalez, A. M., Schmader, T., & Baron, A. S. (2018) · Psychological Science · doi:10.1177/0956797618776942 · Cited by 57
The Stigma of Mental Illness as a Barrier to Self Labeling as Having a Mental Illness
Stolzenburg, S., Freitag, S., Evans-Lacko, S. E., Muehlan, H., Schmidt, S., & Schomerus, G. (2017) · The Journal of Nervous and Mental Disease · doi:10.1097/nmd.0000000000000756 · Cited by 62
“D is computed as the difference between response latencies and standard deviations of two different combinations of concepts (Nosek et al., 2014).”
BackgroundMethodInfluentialImplicit Transgender Attitudes Independently Predict Beliefs About Gender and Transgender People
Axt, J. R., Conway, M. A., Westgate, E. C., & Buttrick, N. R. (2020) · Personality and Social Psychology Bulletin · doi:10.1177/0146167220921065 · Cited by 58
“A similar approach of comparing strength of known-groups differences has been used when evaluating measures of explicit racial attitudes (Axt, 2018), measures of implicit political attitudes (Bar-Anan & Nosek, 2014), or scoring algorithms for a single implicit measure (Nosek et al., 2014).”
Self-citationA Comparative Investigation of Seven Implicit Measures of Social CognitionPreprint
Bar-Anan, Y., & Nosek, B. A. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2074556 · Cited by 47
“The best measures of each will minimize error and maximize the correlation between height and weight closest to its true relationship in that sample (see also Greenwald, Nosek, & Banaji, 2003; Nosek et al., 2012).”
BackgroundMethodInfluentialSelf-citationAutomatic attitudes and health information avoidance.
Howell, J. L., Ratliff, K. A., & Shepperd, J. A. (2016) · Health Psychology · doi:10.1037/hea0000330 · Cited by 42
Job, C., Adenipekun, B., Cleves, A., Gill, P., & Samuriwo, R. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081723 · Cited by 44
“21 27–30 Therefore, it is important to briefly consider its strengths and limitations.”
BackgroundInfluentialAttitudes toward the prototypical environmentalist predict environmentally friendly behavior
Ratliff, K. A., Howell, J. L., & Redford, L. (2017) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2017.03.009 · Cited by 44
Boffo, M., Pronk, T., Wiers, R. W. H. J., & Mannarini, S. (2015) · Trials · doi:10.1186/s13063-015-0576-6 · Cited by 43
“The outcome measure is computed as the standardised difference in latencies between the different combined blocks (modified D-score algorithm [49]).”
MethodAn Unintentional, Robust, and Replicable Pro-Black Bias in Social Judgment
Axt, J. R., Ebersole, C. R., & Nosek, B. A. (2016) · Social Cognition · doi:10.1521/soco.2016.34.1.1 · Cited by 46
“BIAT responses were scored by the D algorithm (Nosek et al., 2014), such that more positive scores reflected a stronger association between White people and good and Black people and bad.”
MethodSelf-citationComparing Implicit and Explicit Attitudes Toward Intimate Partner Violence Against Women
Pérez, V. A. F., Fiol, E. B., Ferreiro-Basurto, V., Álvarez, C. D., & Sánchez-Prada, A. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02147 · Cited by 42
“On the other hand, the sense of the correlations (negative in all cases) indicated that participants who showed rejection on implicit measures also showed it on explicit ones, and participants who showed acceptance on implicit measures also showed it on explicit ones, which could be considered as an indicator that bot…”
BackgroundMethodInfluentialCharacterizing implicit mental health associations across clinical domains
Werntz, A. J., Steinman, S. A., Glenn, J. J., Nock, M. K., & Teachman, B. A. (2016) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2016.02.004 · Cited by 38
Pedersen, M. J., & Nielsen, V. L. (2019) · Public Administration · doi:10.1111/padm.12622 · Cited by 39
Reducing discrimination: A bias versus noise perspective.
Axt, J. R., & Lai, C. K. (2019) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000153 · Cited by 34
Self-citationThe Reliability of Child-Friendly Race-Attitude Implicit Association Tests
Williams, A., & Steele, J. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01576 · Cited by 31
“The only study with an adult sample to report the internal consistency of a reduced-length race-attitude IAT (e.g., Brief-IATs; Sriram and Greenwald, 2009; Nosek et al., 2014) found the internal consistency to be 0.81 (Bar-Anan and Nosek, 2014).”
BackgroundMethodInfluentialAxt, J. R., Nguyen, H., & Nosek, B. A. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2018.02.011 · Cited by 35
Self-citationIndividuals with current suicidal ideation demonstrate implicit “fearlessness of death”
Hussey, I., Barnes-Holmes, D., & Booth, R. (2016) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2015.11.003 · Cited by 29
Millner, A. J., Coppersmith, D. D. L., Teachman, B. A., & Nock, M. K. (2018) · Psychological Assessment · doi:10.1037/pas0000580 · Cited by 28
“Based on Nosek et al. (2014), we recoded latencies shorter than 400 ms (2.7% of all trials) to 400 ms and latencies greater than 2,000 ms (5.6% of all trials) to 2,000 ms, removed trials greater than 10,000 ms (0.2% of all trials) and excluded participants with more than 10% of trials under 300 ms…”
InfluentialKahveci, S., Rinck, M., van Alebeek, H., & Jens Blechert, A. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02109-1 · Cited by 33
“This disadvantageous practice is common in research on the IAT (Greenwald et al., 2003).”
BackgroundInfluentialSlabbinck, H., van Witteloostuijn, A. C., Hermans, J., Vanderstraeten, J., Dejardin, M., Brassey, J., & Ramdani, D. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198094 · Cited by 31
“Data from all critical blocks were used to compute BIAT scores, according to the scoring recommendations of Nosek and colleagues [55].”
BackgroundMethodInfluentialImplicit Bias and First Name Stereotypes: What are the Implications for Online Instruction?
Conaway, W., & Bethune, S. (2015) · doi:10.24059/olj.v19i3.452 · Cited by 28
“Online Learning Volume 19 Issue 3 (2015) 169 The BIAT scores were calculated according to the guidelines provided by Nosek et al. (2013) through two two-category contrast D scores, Caucasian versus African American and Caucasian versus Hispanic.”
BackgroundMethodResultInfluentialModerators of Implicit and Explicit Drinking Identity in a Large US Adult Sample
Lindgren, K. P., Gasser, M. L., Werntz, A., Namaky, N., Baldwin, S., & Teachman, B. (2016) · Addictive Behaviours · doi:10.1016/j.addbeh.2016.04.022 · Cited by 24
“The BIAT was scored using current guidelines (Greenwald, Nosek, & Banaji, 2003; Nosek et al., 2014).”
MethodResultSimultaneous ingroup and outgroup favoritism in implicit social cognition
Axt, J. R., Moran, T., & Bar‐Anan, Y. (2018) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2018.08.007 · Cited by 26
“Likewise, racial and religious minorities report explicit preferences for their own group at levels greater than or equal to those of Whites and Christians (Axt, Ebersole, & Nosek, 2014).”
Self-citationMarini, M. (2017) · Obesity Science & Practice · doi:10.1002/osp4.136 · Cited by 27
“Data analysis Following the guidelines outlined in Nosek, Bar-Anan, Sriram, Axt and Greenwald (19), participants’ weight bias were assessed by means of five D scores, representing five pairwise comparisons among the investigated weight categories: normal weight–obese, normal weight– overweight, normal weight–underweig…”
MethodJones, G., Hawkins, K. E., Mullin, R., Nepusz, T., Naughton, D. P., Sheeran, P., & Petróczi, A. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-587 · Cited by 27
Exposure to stereotype-relevant stories shapes children’s implicit gender stereotypes
Block, K., Gonzalez, A. M., Choi, C. J. X., Wong, Z. C., Schmader, T., & Baron, A. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271396 · Cited by 28
“According to recent recommendations for reaction time measures of implicit associations [46], we excluded children who had more than 10% of trials below 300ms (nstereotypeIAT = 0; nself-conceptIAT = 2) and children who had made errors on more than 30% of trials (nstereotypeIAT = 18; nself-conceptIAT = 25) on analyses…”
MethodThe Association Between Implicit Racial Bias and Mindfulness in Mental Health Practitioners
Ivers, N. N., Johnson, D. A., & Rogers, J. L. (2020) · Journal of Counseling & Development · doi:10.1002/jcad.12350 · Cited by 36
Implicit and Explicit Attitudes Toward Intimate Partner Violence Against Women: An Exploratory Study
Sánchez-Prada, A., Álvarez, C. D., Fiol, E. B., & Pérez, V. A. F. (2018) · Journal of Interpersonal Violence · doi:10.1177/0886260518789903 · Cited by 21
“explicit dimensions evaluated suggests that they are different constructs (Nosek et al., 2014; Nosek & Smyth, 2007).”
BackgroundMethodResultInfluentialBarriers to advancing the science and practice of marketing
Baron, A. S., Zaltman, G., & Olson, J. C. (2017) · Journal of Marketing Management · doi:10.1080/0267257x.2017.1323839 · Cited by 30
Lindgren, K. P., Ramirez, J. J., Namaky, N., Olin, C. C., & Teachman, B. A. (2016) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2016.10.004 · Cited by 22
O’Shea, B. A., Glenn, J. J., Millner, A. J., Teachman, B. A., & Nock, M. K. (2020) · Suicide and Life-Threatening Behavior · doi:10.1111/sltb.12652 · Cited by 22
Block, K., Hall, W. M., Schmader, T., Inness, M., & Croft, E. A. (2018) · Social Psychology · doi:10.1027/1864-9335/a000343 · Cited by 28
“A d-score (algorithm from Nosek et al., 2014) of the average reaction times for stereotypecongruent pairings versus stereotype-incongruent pairings represents participants’ gender stereotypical implicit associations, with positive numbers indicating a stereotypic Engineering = Male association.”
Hermans, J., Slabbinck, H., Vanderstraeten, J., Brassey, J., Dejardin, M., Ramdani, D., & van Witteloostuijn, A. C. (2017) · Sustainability · doi:10.3390/su9112001 · Cited by 25
Wilczynska, M., Lubans, D. R., Cohen, K. E., Smith, J. J., Robards, S. L., & Plotnikoff, R. C. (2016) · Contemporary Clinical Trials · doi:10.1016/j.cct.2016.06.013 · Cited by 23
Dining with liberals and conservatives: The social underpinnings of food neophobia
Guidetti, M., Carraro, L., & Cavazza, N. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262676 · Cited by 19
Marini, M., Waterman, P. D., Breedlove, E. R., Chen, J. T., Testa, C., Reisner, S. L., Pardee, D. J., Mayer, K. H., & Krieger, N. (2021) · BMC Public Health · doi:10.1186/s12889-021-10171-7 · Cited by 20
“Scores for the Target/Perpetrator B-IAT and Good/ Bad B-IAT were computed according to the recommended B-IAT algorithm described by Nosek et al. (2014).”
MethodExplicit Not Implicit Preferences Predict Conservation Intentions for Endangered Species and Biomes
Echeverri, A., Callahan, M., Chan, K. M. A., Satterfield, T. A., & Zhao, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0170973 · Cited by 19
Carpenter, T. P., Goedderz, A., & Lai, C. K. (2022) · Personality and Social Psychology Bulletin · doi:10.1177/01461672221099372 · Cited by 21
“Enhancing the measurement of implicit bias should yield stronger relations with related variables by minimizing random error and maximizing the ability to detect the true relationship between constructs (Axt, 2018; Nosek et al., 2014).”
BackgroundDavenport, L. D., Iyengar, S., & Westwood, S. J. (2021) · American Journal of Political Science · doi:10.1111/ajps.12674 · Cited by 20
“So as a second measure, we implement Brief Implicit Association Tests (BIAT), a barometer of learned racial associations that are instinctively expressed and not subject to cognitive control (Nosek et al., 2014).”
MethodInfluentialExplicit and Implicit Basic Human Motives, and Public Service Motivation
Slabbinck, H., & van Witteloostuijn, A. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01542 · Cited by 20
“Despite these modifications, the BIAT retains the favorable psychometric Frontiers in Psychology | www.frontiersin.org 5 June 2020 | Volume 11 | Article 1542 properties of the original IAT (Sriram and Greenwald, 2009; Bar-Anan and Nosek, 2014; Nosek et al., 2014).”
BackgroundMethodStern, C., & Axt, J. R. (2018) · Social Psychological and Personality Science · doi:10.1177/1948550618799067 · Cited by 19
Self-citationSánchez-Prada, A., Álvarez, C. D., Fiol, E. B., Ferreiro-Basurto, V., & Pérez, V. A. F. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17176055 · Cited by 13
“In addition, it is important to note that we use the procedure “built-in penalty” in error latencies by computing the accumulated time of the wrong-plus-corrected response [54,68,69].”
MethodAlblas, M. C., Mollen, S., Fransen, M. L., & van den Putte, B. (2018) · Appetite · doi:10.1016/j.appet.2018.11.034 · Cited by 13
Valenzuela, F. E. B. (2025) · International Journal of STEM Education · doi:10.1186/s40594-025-00541-7 · Cited by 14
“RTs, widely regarded as reliable indicators of cognitive processing, provide a robust measure of the mental effort required to resolve conflicts between automatic associations and task demands (Greenwald et al., 1998; Nosek et al., 2014).”
The good and the bad: Are some attribute words better than others in the Implicit Association Test?
Axt, J., Feng, T. Y., & Bar-Anan, Y. (2021) · Behavior Research Methods · doi:10.3758/s13428-021-01592-8 · Cited by 14
“This assumption that measurement error will only weaken the overall effect size is common in prior research on the IAT’s validity (see Bar-Anan & Nosek, 2014 and Nosek et al., 2005, for parallel reasoning).”
BackgroundMethodResultInfluentialSelf-citationMartínez, R. M., Chen, C.-Y., Liao, T., Cheng, Y., Fan, Y., Chou, S.-H., & Chen, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01521 · Cited by 15
Vargo, E. J., & Petróczi, A. (2013) · Substance Abuse Treatment Prevention and Policy · doi:10.1186/1747-597x-8-22 · Cited by 16
“Validation studies demonstrate how this version of the IAT has satisfactory validity, especially when the self is a focal category [32], as in the case of the items of an aIAT.”
BackgroundConnors, S., Spangenberg, K., Perkins, A. W., & Forehand, M. (2021) · Journal of Advertising · doi:10.1080/00913367.2020.1870585 · Cited by 13
“…participants with (a) extremely long latencies (> 10,000ms), which indicate possible distraction; (b) extremely short latencies (< 300ms for greater than 10% of trials); or (c) high error rates (> 30%), which indicate possible inattention (Greenwald, Nosek, and Banaji 2003; Nosek et al. 2014).”
BackgroundA Multifaceted Explanation of the Predisposition to Buy Organic Food
Sarabia-Andreu, F., Sarabia-Sánchez, F. J., Meroño, M. C. P., & Moreno-Albaladejo, P. (2020) · Foods · doi:10.3390/foods9020197 · Cited by 13
“In this study, the D measure was applied [68], which was used for both the improved IAT and the subsequent Brief-IAT [69,70].”
MethodChildren Consider Their Own Group to Be More Human Than Other Social Groups
Chas, A., Betancor, V., Delgado, N., & Pérez, A. R. (2018) · Social Psychology · doi:10.1027/1864-9335/a000329 · Cited by 11
Rusch, T., Han, Y., Liang, D., Hopkins, A., Lawrence, C., Maoz, U., Paul, L. K., Stanley, D. A., the COVID-Dynamic Team, Adolphs, R., et al. (2023) · Scientific Data · doi:10.1038/s41597-022-01901-6 · Cited by 23
The Brief Implicit Association Test is Valid: Experimental Evidence
Jing, Y., Shi, Y., Luo, Y. L. L., Shi, J., & Cai, H. (2014) · Social Cognition · doi:10.1521/soco.2014.32.5.449 · Cited by 11
An unintentional pro‐Black bias in judgement among educators
Axt, J. (2017) · British Journal of Educational Psychology · doi:10.1111/bjep.12156 · Cited by 10
Self-citationGender stereotypes, self, and sport dropout: a one-year prospective study in adolescents
Plaza, M., & Boiché, J. (2017) · Movement & Sport Sciences - Science & Motricité · doi:10.1051/sm/2017018 · Cited by 9
Ren, Y., Wang, S., Fu, X., & Shi, X. (2025) · Psychology Research and Behavior Management · doi:10.2147/prbm.s503942 · Cited by 11
“Of these, three adhered to Nosek’s guidelines for data processing, 80 which involved deleting responses from incorrect, incongruent trials, or no-go trials.”
Jones, D. D. (2022) · Health Equity · doi:10.1089/heq.2021.0141 · Cited by 11
“Unconscious associations are measured using a D score that has a theoretical range of 2 to + 2.(35) Respondents with a D-score equal to 0 ( – 0.”
MethodPérez, V. A. F., Sánchez-Prada, A., Álvarez, C. D., & Fiol, E. B. (2020) · Psicologia Reflexão e Crítica · doi:10.1186/s41155-020-00165-6 · Cited by 12
“The preferences of the individual are inferred from the speed of responding to stimuli in a categorization task (Bar-Anan & Nosek, 2014; Blair et al., 2015; De Houwer et al., 2009; Greenwald, Nosek, & Banaji, 2003; Nosek, Greenwald, & Banaji, 2007).”
BackgroundChen, C., Martínez, R. M., & Cheng, Y. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116732 · Cited by 15
Pointing fingers at others: The neural correlates of actor-observer asymmetry in blame attribution
Chen, C., Martínez, R. M., Chen, Y., & Cheng, Y. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107281 · Cited by 8
Alblas, M. C., Mollen, S., Fransen, M. L., & van den Putte, B. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113409 · Cited by 7
“, below 300 milliseconds [ms]; [41]) or not within the maximum time they were given to respond (i.”
Measuring Racial Status Beliefs with Implicit Associations
Melamed, D., Barry, L., Montgomery, B., & Okuwobi, O. F. (2020) · American Sociological Review · doi:10.1177/0003122420968553 · Cited by 8
“At the individual level, we computed two D scores per participant (Nosek et al. 2014).”
BackgroundMethodInfluentialWhitaker, L., Petróczi, A., Backhouse, S. H., Long, J., & Nepusz, T. (2016) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2016.02.005 · Cited by 11
Masterton, S., Hardman, C. A., Boyland, E. J., Robinson, E., Makin, H., & Jones, A. (2022) · British Journal of Health Psychology · doi:10.1111/bjhp.12622 · Cited by 8
“In line with recommendations (Nosek et al., 2014), the D algorithm for BIAT was used to calculate implicit preference scores, which included the removal of trials >10,000 ms in length in addition to the removal of assessments where more than 10% of trials were completed in less than 300 ms (N = 55…”
MethodSchmitz, M., & Yzerbyt, V. Y. (2020) · Group Processes & Intergroup Relations · doi:10.1177/1368430220963176 · Cited by 15
“First, it has good psychometric properties together with a high versatility to measure stereotypes of all kinds (Nosek et al., 2014), including those revolving around warmth and competence (e.g., Imhoff et al., 2013).”
BackgroundMethodTest-retest reliability of the simon task: a short version proposal
Cevada, T., Conde, E. F. Q., Marques, D., & Deslandes, A. C. (2019) · Somatosensory & Motor Research · doi:10.1080/08990220.2019.1689114 · Cited by 6
“…validity and reliability parameters for shorter batteries of cognitive measurement were raised (Sriram and Greenwald 2009; Benedict et al. 2012; Nosek et al. 2014), since even small changes in a test may be responsible for different effects when brief protocols are compared to the original…”
BackgroundInfluentialReducing Implicit Bias Toward Non-Native Speakers of English Via Perspective Taking
Weyant, J. M. (2019) · Hispanic Journal of Behavioral Sciences · doi:10.1177/0739986319869321 · Cited by 7
Hazardous drinking has unique relationships with implicit and explicit drinking identity
Montes, K. S., Olin, C. C., Teachman, B. A., Baldwin, S. A., & Lindgren, K. P. (2018) · Addictive Behaviors · doi:10.1016/j.addbeh.2018.07.011 · Cited by 9
Roland, N., Mierop, A., Frenay, M., & Corneille, O. (2018) · Frontline Learning Research · doi:10.14786/flr.v6i1.327 · Cited by 11
Nagamori, C., Hara, K., Ohta, K., Akaza, M., & Sumi, Y. (2017) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2017.05.008 · Cited by 7
Testing of a paper-and-pencil Personalized Single Category Implicit Association Test (SC-IAT-P)
Bardin, B., Perrissol, S., Py, J., Fos, Y., & Souchon, N. (2016) · International Review of Social Psychology · doi:10.5334/irsp.35 · Cited by 14
“For alcohol as an attitude object, Palfai and Ostafin (2003) were able to demonstrate a link between IAT approach/avoid scores and whether or not subjects indulged in binge drinking (i.”
BackgroundMarini, M., Waterman, P. D., Breedlove, E. R., Chen, J. T., Testa, C., Pardee, D. J., LeBlanc, M. E., Reisner, S. L., Oendari, A., & Krieger, N. (2022) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-022-01353-z · Cited by 8
“Scores for the Target/Perpetrator B-IAT and Good/Bad B-IAT were computed according to the recommended B-IAT algorithm described by Nosek et al. (2014).”
Misplaced Intuitions in Interventions to Reduce Attractiveness-Based Discrimination
Axt, J. R., Yang, J., & Deshpande, H. (2022) · Personality and Social Psychology Bulletin · doi:10.1177/01461672221074748 · Cited by 10
“Responses were analyzed using the D scoring algorithm (Nosek et al., 2014), with a higher score indicating more positive implicit associations toward more, versus less, physically attractive people (see online supplemental material for instructions).”
MethodSelf-citationKrishna, A., Rodrigues, J., Mitschke, V., & Eder, A. B. (2021) · Cognitive Research Principles and Implications · doi:10.1186/s41235-021-00344-8 · Cited by 9
Implizite Einstellungen, explizite Einstellungen und die Affinität zur AfD
Tutić, A., & Grehl, S. (2021) · KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie · doi:10.1007/s11577-021-00803-6 · Cited by 9
“Der BIAT (Sriram und Greenwald 2009; Nosek et al. 2014) stellt eine komprimierte Version des klassischen Implicit Association Tests (Greenwald et al. 1998; Fazio et al. 1995) dar.”
BackgroundEl estudio de la polarización afectiva: una mirada metodológica
Freidin, E., Moro, R., & Silenzi, M. I. (2022) · REVISTA SAAP · doi:10.46468/rsaap.16.1.a2 · Cited by 5
An Improved Scoring Algorithm for Indirect Evaluation Measurement With the Evaluative Priming Task
Segal-Gordon, N., Kuperwasser, I., & Bar-Anan, Y. (2024) · Social Psychology and Personality Science · doi:10.1177/19485506241273121 · Cited by 5
“…previous research on the scoring of indirect evaluation measures (Glashouwer et al., 2013; Greenwald et al., 2003; Koppehele-Gossel et al., 2020; Nosek et al., 2014; Richetin et al., 2015), the present research used the most diverse set of attitude objects, procedural task parameters,…”
Self-citationGlock, S., Shevchuk, A., & Kleen, H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.819793 · Cited by 5
Lou, Z., Vivas-Valencia, C., Shields, C. G., & Kong, N. (2022) · PEC Innovation · doi:10.1016/j.pecinn.2022.100017 · Cited by 7
“This variable measures a physician's bias toward patients from various racial groups [50-52].”
BackgroundCrowdsourcing the Implicit Association Test: Limitations and Best Practices
Connors, S. W., Spangenberg, K., Perkins, A. W., & Forehand, M. (2020) · Journal of Advertising · doi:10.1080/00913367.2020.1806155 · Cited by 6
“The 300 ms cutoff represents the lower bound at which humans can comprehend stimuli and therefore has been commonly deemed best practice in response latency research (Fazio 1990; Greenwald, Nosek, and Banaji 2003; Nosek et al. 2014).”
InfluentialHagège, H. (2017) · Éducation et francophonie · doi:10.7202/1040723ar · Cited by 12
Socialising the Frequency Code: Effects of gender and age on iconic associations of pitcha).
Calhoun, S., Warren, P., Mills, J., & Agnew, J. (2024) · Journal of the Acoustical Society of America · doi:10.1121/10.0034354 · Cited by 4
Metadata
- Authors
- Nosek, B. A., Bar-Anan, Y., Sriram, N., Axt, J., & Greenwald, A. G.
- Affiliations
- Center for Open Science (US)
- University of Virginia (US)
- University of Washington (US)
- Corresponding author
- Nosek, Brian A.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-12-08
- Volume
- 9
- Issue
- 12
- Pages
- e110938
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4259300
- OpenAlex
- W3124598427
- Cited by
- 179
- References
- 49
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 13 · 2023: 13 · 2022: 19 · 2021: 15 · 2020: 20 · 2019: 9 · 2018: 20 · 2017: 17 · 2016: 13 · 2015: 5 · 2014: 4
- FWCI
- 16.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- Brief Implicit Association Test, Implicit Association Test, implicit measures, scoring methods, reaction time (psychology), internal consistency, explicit measures, psychometric properties, response latency, group differences
- MeSH terms
- Attitude, Female, Humans, Male, Psychological Tests, Comprehension
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