The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Unreliability as a threat to understanding psychopathology: The cautionary tale of attentional bias.
Open accessAbstract
The use of unreliable measures constitutes a threat to our understanding of psychopathology, because advancement of science using both behavioral and biologically oriented measures can only be certain if such measurements are reliable. Two pillars of the National Institute of Mental Health's portfolio-the Research Domain Criteria (RDoC) initiative for psychopathology and the target engagement initiative in clinical trials-cannot succeed without measures that possess the high reliability necessary for tests involving mediation and selection based on individual differences. We focus on the historical lack of reliability of attentional bias measures as an illustration of how reliability can pose a threat to our understanding. Our own data replicate previous findings of poor reliability for traditionally used scores, which suggests a serious problem with the ability to test theories regarding attentional bias. This lack of reliability may also suggest problems with the assumption (in both theory and the formula for the scores) that attentional bias is consistent and stable across time. In contrast, measures accounting for attention as a dynamic process in time show good reliability in our data. The field is sorely in need of research reporting findings and reliability for attentional bias scores using multiple methods, including those focusing on dynamic processes over time. We urge researchers to test and report reliability of all measures, considering findings of low reliability not just as a nuisance but as an opportunity to modify and improve upon the underlying theory. Full assessment of reliability of measures will maximize the possibility that RDoC (and psychological science more generally) will succeed. (PsycINFO Database Record
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Although in a separate study, ketamine failed to illustrate a similar impact on attentional bias towards negative cues 128 , the use of a reaction time measure (the dot-probe task) with notoriously poor psychometric properties 136-138 may have impeded the ability to sensitively detect changes over time.”
From Neuroplasticity in cognitive and psychological mechanisms of depression: an integrative model (2020) · cites this paper as [138]
In the citing paper
“Our ability to identify individually relevant brain and behavioural changes depends on a high level of measurement accuracy, combined with appropriate statistical modelling, neither of which is widely used in RCTs.38”
From Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders (2021) · cites this paper as [38]
In the citing paper
“Our ability to identify individually relevant brain and behavioural changes depends on a high level of measurement accuracy, combined with appropriate statistical modelling, neither of which is widely used in RCTs.38”
From Precision clinical trials: a framework for getting to precision medicine for neurobehavioural disorders (2021) · cites this paper as [38]
In the citing paper
“One research challenge is the limited reliability of AB indices derived from manual response times, which may reflect measurement problems and the variability of anxiety-related ABs, as discussed earlier [19,56-58,98].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [56]
In the citing paper
“One research challenge is the limited reliability of AB indices derived from manual response times, which may reflect measurement problems and the variability of anxiety-related ABs, as discussed earlier [19,56-58,98].”
From Anxiety and Threat-Related Attention: Cognitive-Motivational Framework and Treatment (2018) · cites this paper as [56]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical power analyses using G∗Power 3.1: tests for correlation and regression analyses
Faul, F., Erdfelder, E., Buchner, A., & Lang, A.-G. (2009) · Behavior Research Methods · doi:10.3758/brm.41.4.1149 · Cited by 37,615
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Threat-related attentional bias in anxious and nonanxious individuals: a meta-analytic study.
Bar-Haim, Y., Lamy, D., Pergamin, L., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007) · Psychological Bulletin · doi:10.1037/0033-2909.133.1.1 · Cited by 3,721
Cole, D. A., & Maxwell, S. E. (2003) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.112.4.558 · Cited by 3,605
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566
Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (1997) · American Psychiatric Press eBooks · Cited by 3,101
Balota, D. A., Yap, M. J.-M., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B., & Rebecca Treiman, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193014 · Cited by 2,758
Attentional bias in emotional disorders.
MacLeod, C., Mathews, A., & Tata, P. R. (1986) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.95.1.15 · Cited by 2,553
Producing high-dimensional semantic spaces from lexical co-occurrence
Lund, K., & Burgess, C. (1996) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03204766 · Cited by 1,875
Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.1061 · Cited by 1,733
Research works printed but not linked: 2
- Harvey AG Watkins E Mansell W 2004 Cognitive behavioural processes across psychological disorders New York Oxford University Press
- Nunnally JD Bernstein IH 1994 Psychometric theory 3 New York McGraw-Hill
Cited by
Sorted by citations
Items 201–300 of 312
Associations between attentional biases for emotional images and rumination in depression
Quigley, L., Russell, K., Yung, C., Dobson, K. S., & Sears, C. R. (2024) · Cognition & Emotion · doi:10.1080/02699931.2024.2434158 · Cited by 4
Brezóczki, B., Farkas, B. C., Hann, F., Pesthy, O., Tóth-Fáber, E., Farkas, K., Csigó, K., Németh, D., & Vékony, T. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06786-4 · Cited by 3
Serafim, P. H. M., Gadelha, A., Massuda, R., Louzã, M. R., Gama, C. S., Roguski, L. D. C. O., Alvim, P. H. P., & Czepielewski, L. S. (2025) · Schizophrenia Research · doi:10.1016/j.schres.2025.11.010 · Cited by 4
The attentional bias for food cues and its neural mechanism
Li, L., Hou, X., ZHANG, Y., & Sui, X. (2020) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2020.02040 · Cited by 4
Attentional Processing of Threat in Bipolar Disorder: Going Beyond Mood-Congruency
Gago, B., Perea, M., Livianos, L., Sierra, P., & García‐Blanco, A. (2021) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-021-09905-z · Cited by 5
The Rise and Fall of the Dot-Probe Task: Opportunities for Metascientific Learning
Sharpe, B. T., Halls, M., & Gladwin, T. E. (2022) · Seeds of Science · doi:10.53975/i2gp-smbp · Cited by 4
Sawaya, H., Ferraro, F. R., & Marsh, R. A. (2024) · Current Psychology · doi:10.1007/s12144-023-05594-x · Cited by 4
A Conceptual Review of Models and Findings Regarding Attention Bias for Social Anxiety
Neophytou, K., & Panayiotou, G. (2024) · Springer eBooks · doi:10.1007/978-3-031-56798-8_10 · Cited by 4
Relationships between attention to emotion and anxiety among a community sample of adolescents
Mullin, B. C., Holzman, J. B. W., Pyle, L. L., Perks, E. L., Chintaluru, Y., Gulley, L. D., Haraden, D. A., & Hankin, B. L. (2021) · Psychological Medicine · doi:10.1017/s0033291720003360 · Cited by 5
Does Cognitive Bias Modification Reduce Alcohol Consumption?
Jones, A., & Field, M. (2021) · Springer eBooks · doi:10.1007/978-3-030-66941-6_22 · Cited by 4
Rayson, H., Ryan, Z. J., & Dodd, H. F. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101207 · Cited by 5
Roth, T. S., Samara, I., Perea‐García, J. O., & Kret, M. E. (2024) · Scientific Reports · doi:10.1038/s41598-024-62187-9 · Cited by 6
Pre-sleep arousal can be associated with efficient processing of sleep-related information
Takano, K., Poel, L. V., & Raes, F. (2018) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2018.02.005 · Cited by 4
Gladwin, T. E., Jewiss, M., & Vink, M. (2020) · Journal of Cognitive Psychology · doi:10.1080/20445911.2020.1805453 · Cited by 4
Fernández‐Calderón, F., Lozano, O. M., Barreno, E. M., Marín, J. A. L., & Díaz, C. (2021) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.106834 · Cited by 4
Shifting Episodic Prediction With Online Cognitive Bias Modification: A Randomized Controlled TrialPreprint
Eberle, J. W., Boukhechba, M., Sun, J., Zhang, D., Funk, D., Barnes, L. E., & Teachman, B. A. (2020) · doi:10.31234/osf.io/dg7z8 · Cited by 4
Robles, E., Nieto, I., Navas, J. F., & Vázquez, C. (2024) · Acta Psychologica · doi:10.1016/j.actpsy.2024.104555 · Cited by 3
Lev, T., Dykan, C. D. G., Lazarov, A., & Bar‐Haim, Y. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.04.164 · Cited by 4
von Koch, L., Reuter, B., & Kathmann, N. (2025) · Cognitive Therapy and Research · doi:10.1007/s10608-025-10586-1 · Cited by 3
Feighan, S.-M., McArdle, K., Lisanti, L., Roche, E. F., Ormonde, C., Heron, E. A., Kelly, C. A. M., Molloy, C. J., & Gallagher, L. (2025) · Physiology & Behavior · doi:10.1016/j.physbeh.2025.114993 · Cited by 3
Shin, J., Grossman, J. T., Rodriguez, C. R., & Rodebaugh, T. L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-818697-8.00228-4 · Cited by 3
Self-citationReliability of and associations between cognitive bias measures and response inhibition in smoking
Wittekind, C. E., Schiebel, T., & Kühn, S. (2023) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2023.101853 · Cited by 4
Apuntes para el análisis del sesgo en la investigación en Ciencias de la Salud
Poumian, Y. P. (2022) · Revista Médica de la Universidad Veracruzana · doi:10.25009/rmuv.2021.1.15 · Cited by 3
Robles, E., & Vázquez, C. (2024) · Ansiedad y Estrés · doi:10.5093/anyes2024a3 · Cited by 3
The Contributions of Attentional Bias and Expectancy Bias to Fluctuations in State Anxiety
Tough, J., Grafton, B., MacLeod, C., & Bockstaele, B. V. (2024) · Cognitive Therapy and Research · doi:10.1007/s10608-024-10535-4 · Cited by 3
The role of attentional biases to appetitive stimuli in childhood overweight
Rojo-Bofill, L. M., Ortiz-Roldán, A., Moreno-Giménez, A., Rojo‐Moreno, L., Vitoria, I., Medina, P. C., Moscardó, I. B., Vento, M., & García‐Blanco, A. (2019) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2019.04.014 · Cited by 3
Deen, H., Notebaert, L., Bockstaele, B. V., Clarke, P., & Todd, J. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-03950-y · Cited by 3
Parsons, S. D. (2018) · doi:10.31234/osf.io/k3vxc · Cited by 6
Xu, I., Passell, E. J., Strong, R. W., Grinspoon, E. A., Wu, C. Y., Jung, L., Wilmer, J. B., & Germine, L. T. (2022) · doi:10.31234/osf.io/58z4n · Cited by 3
Opioid misuse detection from cognitive and physiological data with temporal fusion deep learning
Gullapalli, B. T., Luo, Y., Rahman, T., & Garland, E. L. (2025) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2025.112774 · Cited by 2
Sablottny, L., Werthmann, J., & Tuschen‐Caffier, B. (2026) · Appetite · doi:10.1016/j.appet.2026.108472 · Cited by 2
Adaptive and maladaptive networks using ecological momentary assessment
Hufschmidt, B., Ebert, M., Nemani, A., Kohl, V., Pahlen, L., Müller, S., Hofmann, S. G., & Stangier, U. (2026) · Clinical Psychology in Europe · doi:10.32872/cpe.17891 · Cited by 2
Putter, L. M. S. D., & Koster, E. H. W. (2018) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2018.07.007 · Cited by 2
Zhang, Q. (2022) · Current Psychology · doi:10.1007/s12144-022-03646-2 · Cited by 2
Exner, A., Machulska, A., Tobias Stalder, A., & Klucken, T. (2022) · Current Psychology · doi:10.1007/s12144-022-04087-7 · Cited by 2
Negative affective priming: Reliability and associations with depression symptoms in three samples
Quigley, L., Dobson, K. S., Russell, K., & Sears, C. R. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02248-5 · Cited by 2
Zainal, N. H., & Jacobson, N. C. (2023) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2023.101918 · Cited by 2
Armbruster‐Genc, D., Rammensee, R. A., Jungmann, S. M., Drake, P., Wessa, M., & Basten, U. (2024) · Behavior Research Methods · doi:10.3758/s13428-024-02451-y · Cited by 3
Clauss, K. E., Cheney, T. P., Somohano, V. C., Hannon, S. A., Degutis, J. M., Esterman, M. S., Constans, J. I., & O'Neil, M. E. (2024) · Journal of Traumatic Stress · doi:10.1002/jts.23104 · Cited by 3
McNamara, M. E., Shumake, J., & Beevers, C. G. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318923 · Cited by 2
Psychometric Properties of COVID-19 Dot-probe Task in Iranian Adults
Nasiry, S., Nasiry, N., & Noori, M. (2021) · Practice in Clinical Psychology · doi:10.32598/jpcp.9.3.739.4 · Cited by 2
Dikstein, H., Mann, T. G., Halevy-Yosef, R., Enoch‐Levy, A., Hamdan, S., Gur, E., Haim, Y. B., Lazarov, A., Treasure, J. L., & Stein, D. J. (2022) · European Eating Disorders Review · doi:10.1002/erv.2957 · Cited by 3
Complex, Dynamic, & Internal: As Simple As Possible, But No Simpler Than That
Amir, I., Aviad, N., & Bernstein, A. (2022) · Psychological Inquiry · doi:10.1080/1047840x.2022.2160595 · Cited by 2
Self-citationKang, S., & Osinsky, R. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1279311 · Cited by 2
Dauphin, B., Greene, H. H., Juve, M., Boyle, M. D. P., & Day-Suba, E. (2023) · Rorschachiana Journal of the International Society for the Rorschach · doi:10.1027/1192-5604/a000169 · Cited by 2
Haberkamp, A., Schmidt, F., Hansmeier, J., & Glombiewski, J. A. (2018) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2018.11.004 · Cited by 3
Influenca: a gamified assessment of value-based decision-making for longitudinal studiesPreprint
Neuser, M. P., Kräutlein, F., Kühnel, A., Teckentrup, V., Svaldi, J., & Kroemer, N. (2021) · bioRxiv · doi:10.1101/2021.04.27.441601 · Cited by 3
Hardman, C. A., Jones, A., Burton, S. P., Duckworth, J. J., McGale, L. S., Mead, B. R., Roberts, C. A., Field, M., & Werthmann, J. (2020) · doi:10.31234/osf.io/ng34q · Cited by 2
The Effect of Attention on Body Size Adaptation and Body DissatisfactionPreprint
House, T., Stephen, I. D., Penton‐Voak, I. S., & Brooks, K. R. (2021) · doi:10.31234/osf.io/y9s7c · Cited by 2
Attentional biases in depression: Relation to disorder severity, rumination, and anhedoniaPreprint
Krings, A., Heeren, A., Fontaine, P., & Blairy, S. (2020) · doi:10.31234/osf.io/3hmyb · Cited by 2
Is the Hebb repetition task a reliable measure of individual differences in sequence learning?Preprint
Bogaerts, L., Siegelman, N., Ben-Porat, T., & Frost, R. (2019) · doi:10.31234/osf.io/pj2ks · Cited by 2
Attentional Processing Biases in Young People With Binging and Purging Behavior
Freccero, A., Burmester, V., Rodrigues, R., Gallucci, A., Nicholls, D., & Simplicio, M. C. D. (2025) · Brain and Behavior · doi:10.1002/brb3.70322 · Cited by 2
Hendges, N. V. Z., Batistuzzo, M. C., Costa, D. L. D. C., Bar‐Haim, Y., Abend, R., Morais, I. A., Salum, G. A., Miguel, E. C., Shavitt, R. G., & de Mathis, M. A. (2025) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2025.12.013 · Cited by 1
Shang, Y., Liu, K., & Feng, Q. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2025.106141 · Cited by 1
Roth, M., Plessen, C. Y., Liegl, G., Fischer, F., Koeppen, L., Vajkoczy, P., Praßer, F., Nolte, S., Rose, M., & Obbarius, A. (2026) · European Journal of Pain · doi:10.1002/ejp.70266 · Cited by 1
A missed opportunity to examine reliability in computational psychiatry
Brown, V. M. (2026) · Nature Mental Health · doi:10.1038/s44220-026-00662-0 · Cited by 1
Inhibited Children in a Social World: Transactional and Interactive Processes
Liu, P., McDonnell, C. G., & Hayden, E. P. (2020) · Springer eBooks · doi:10.1007/978-3-030-38877-5_5 · Cited by 1
Spatial Attention to Emotional Images and Psychopathic Personality Traits
Snowden, R. J., Mitchell, E., Ojo, S. K., Preedy-Lunt, R., & Gray, N. S. (2022) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/s10862-022-10012-w · Cited by 1
Generalized Anxiety Disorder, Panic Disorder, Social Anxiety Disorder, and Specific Phobia
Zinbarg, R. E., Williams, A. L., Kramer, A. M., & Schmidt, M. R. (2023) · Oxford University Press eBooks · doi:10.1093/med-psych/9780197542521.003.0007 · Cited by 3
Cludius, B., & Ehring, T. W. (2023) · CBT: science into practice · doi:10.1007/978-3-031-23650-1_2 · Cited by 1
Hudson, C. C., Traynor, J. M., Beard, C., Björgvinsson, Þ., Forgeard, M. J. C., & Hsu, K. J. (2023) · Applied Neuropsychology Adult · doi:10.1080/23279095.2023.2217312 · Cited by 1
Dauphin, B., Greene, H. H., Juve, M., Boyle, M. D. P., & Day-Suba, E. (2023) · Perceptual and Motor Skills · doi:10.1177/00315125231188564 · Cited by 1
House, T., Stephen, I. D., Brooks, K. R., Bould, H., Attwood, A. S., & Penton‐Voak, I. S. (2024) · Royal Society Open Science · doi:10.1098/rsos.231817
Can automatic reactions mirror exercise dependence?
Quossi, A., Fessler, L., Maltagliati, S., Gardner, B., Miller, M. W., Sander, D., Rebar, A. L., Szabó, A., & Cheval, B. (2024) · International Journal of Sport and Exercise Psychology · doi:10.1080/1612197x.2024.2387698 · Cited by 2
Woody, M. L., Rohac, R., Cooper, I., Griffo, A., Mcdonald, N., Spotts, C., Fournier, J. C. J., Jones, N. P., Peciña, M., Young, K. D., et al. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.10.024 · Cited by 1
Attentional Bias and the Anxiety Disorders
Koster, E. H. W., & Bogaerde, A. V. (2018) · Cambridge University Press eBooks · doi:10.1017/9781108140416.003 · Cited by 1
Sareen, S., Doyle, F. L., Kemp, L. J., Northam, J. C., Morgan, B. G., Kimonis, E. R., Richmond, J. L., Pelley, M. E. L., Eapen, V., Frick, P. J., et al. (2021) · Infancy · doi:10.1111/infa.12444 · Cited by 1
House, T., Wong, H. K., Samuel, N. W.-Y., Stephen, I. D., Brooks, K. R., Bould, H., Attwood, A. S., & Penton‐Voak, I. S. (2022) · doi:10.31234/osf.io/an59j · Cited by 1
Vigilance: A Novel Conditioned Fear Response that Resists ExtinctionPreprint
Armstrong, T., Engel, M., & Dalmaijer, E. S. (2022) · doi:10.31234/osf.io/4ct8x · Cited by 1
A Model-based Approach for Assessing Attentional Biases in People with Depressive Symptoms.
Rutten, I., Voorspoels, W., Koster, E. H. W., & Vanpaemel, W. (2017) · Lirias
Evaluating Traditional and Newer Indices of Attention Bias Among People with Social Anxiety Disorder
Molloy, A. G. (2022) · Digital Archive @ GSU · doi:10.57709/14244720
Gloster, A. T., & Gerlach, A. L. (2020) · Wiley eBooks · doi:10.1002/9781119189909.ch17
Effect of Attachment Style on Selective Attention in Panic Disorder
Klipsch, O., Schauenburg, H., Nikendei, C., Benecke, C., & Dinger, U. (2020) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2020.39.6.523
Assensoh-Kodua, A. (2021) · Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · doi:10.4018/978-1-7998-7545-1.ch017
PD-12-2 先天性心疾患を増悪させる小児外科疾患とその外科治療 : 治療時期と予後(先天性心疾患合併小児外科疾患の最新の治療戦略と予後,パネルディスカッション,第110回日本外科学会定期学術集会)
川田, 博., 岸本, 英., 盤井, 成., 小澤, 秀., 木戸高志, 萱谷, 太., 稲村, 登., 窪田, 昭., & 川原, 央. (2010) · 日本外科学会雑誌
Stein, M. B., Keough, M. E., & Roy‐Byrne, P. (2017) · Oxford University Press eBooks · doi:10.1093/med/9780190681425.003.0032
Is the Hebb repetition task a reliable measure of individual differences in sequence learning?Preprint
Bogaerts, L., Siegelman, N., Ben-Porat, T., & Frost, R. (2019) · doi:10.31219/osf.io/4b3fy
Soleymani, A., Mazidi, M., Niemeijer, R., & de Jong, P. J. (2021) · doi:10.31234/osf.io/rdj7x
Complex, Dynamic, & Internal: As Simple As Possible, But No Simpler Than ThatPreprint
Amir, I., Aviad, N., & Bernstein, A. (2022) · doi:10.31234/osf.io/dk4zw
Self-citationHarrewijn, A., Ruiz, S. G., Abend, R., Haller, S. P., Subar, A. R., Swetlitz, C., Valadez, E. A., Brotman, M. A., Chen, G., Chronis-Tuscano, A. M., et al. (2023) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2023.01.008
Test-Retest Reliability of the STRAQ-1: A Registered ReportPreprint
Dujols, O., Klein, R. A., Lindenberg, S. M., Lissa, C. J. V., & IJzerman, H. (2023) · doi:10.31234/osf.io/392g6
Visual spatial attention to sexual stimuli
Snowden, R. J., Kydd-Coutts, M., Varney, E.-M., Rosselli, O., & Gray, N. S. (2024) · Current Psychology · doi:10.1007/s12144-024-06438-y
Hagen, H., Røssberg, J. I., Harmer, C. J., Jonassen, R., Landrø, N., & Bø, R. (2024) · Neuroscience Applied · doi:10.1016/j.nsa.2024.104185
Basanovic, J., Ranjbar, S., & MacLeod, C. (2025) · Cognitive Therapy and Research · doi:10.1007/s10608-025-10619-9
Measuring implicit bias in height-fearful participants with the Approach-Avoidance Task
Piovesan, K., Rinck, M., & Zlomuzica, A. (2025) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-025-02096-8
Kary, A., Beesley, T., Dadds, M. R., & Moul, C. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105705
Hagen, H. S., Røssberg, J. I., Harmer, C. J., Jonassen, R., Landrø, N. I., & Bø, R. (2025) · Journal of Behavior Therapy and Experimental Psychiatry · doi:10.1016/j.jbtep.2025.102073
Sablottny, L., Werle, D., Svaldi, J., Thörel, N., Caffier, D., & Tuschen‐Caffier, B. (2025) · Journal of Eating Disorders · doi:10.1186/s40337-025-01450-4 · Cited by 2
Shatz, H., Oren‐Yagoda, R., & Aderka, I. M. (2025) · Behavior Therapy · doi:10.1016/j.beth.2025.11.004
Wei, H., Lam, T. K., Liu, W., Su, W., Wang, Z., Wang, Q., Lin, X., & Li, P. (2025) · Journal of Eye Movement Research · doi:10.3390/jemr18060072
Pelzer, M., Brockmeyer, T., Tuschen‐Caffier, B., & Werthmann, J. (2025) · Journal of Eating Disorders · doi:10.1186/s40337-025-01459-9 · Cited by 1
Deen, H., Notebaert, L., Bockstaele, B. V., Clarke, P., & Todd, J. (2022) · Figshare · doi:10.6084/m9.figshare.19759997
Deen, H., Notebaert, L., Bockstaele, B. V., Clarke, P., & Todd, J. (2022) · Figshare · doi:10.6084/m9.figshare.19759994
Fuchs, I., Gerstgrasser, N. W., Yazdi‐Zorn, K., Kindermann, H., & Rosenleitner, J. (2026) · Drug and Alcohol Dependence Reports · doi:10.1016/j.dadr.2026.100438
Taylor, C. T. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.7339
Razak, H. A., MacLeod, C., Rudaizky, D., & Notebaert, L. (2026) · Behaviour Research and Therapy · doi:10.1016/j.brat.2026.105043
Mazidi, M. G., Yong, J. L., Grafton, B., & MacLeod, C. (2026) · Behaviour Research and Therapy · doi:10.1016/j.brat.2026.105066
Goodhew, S. C., Cox, J., & Christensen, B. (2017) · OSF Preprints (OSF Preprints)
Press, T., Engel, M., Armstrong, T., Reed, J., & Sonstroem, A. (2019) · OSF Preprints (OSF Preprints)
Metadata
- Authors
- Rodebaugh, T. L., Scullin, R. B., Langer, J. K., Dixon, D. J., Huppert, J. D., Bernstein, A., Zvielli, A., & Lenze, E. J.
- Affiliations
- Hebrew University of Jerusalem (IL)
- University of Haifa (IL)
- ORCID
- Venue
- Journal of Abnormal Psychology
- Published
- 2016-08
- Volume
- 125
- Issue
- 6
- Pages
- 840-851
- ISSN
- 0021-843X (ISSN-L)
- 1939-1846
- PMC
- PMC4980228
- OpenAlex
- W2465300579
- Cited by
- 312
- References
- 53
- Citations by year
- 2026: 21 · 2025: 24 · 2024: 28 · 2023: 39 · 2022: 41 · 2021: 40 · 2020: 37 · 2019: 24 · 2018: 33 · 2017: 22 · 2016: 2
- FWCI
- 38.33
- Type
- journal article
- Language
- en
- Update notices
- correction (2016-09-01)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Abnormal Psychology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR000448)
- National Institute of Mental Health (R21MH090308, R01MH070547)
- National Center for Research Resources (UL1RR024992)
- National Center for Advancing Translational Sciences
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- attentional bias, measurement reliability, psychopathology, Research Domain Criteria, target engagement, replication, individual differences, reliability reporting
- MeSH terms
- Attentional Bias, Mental Disorders, Humans, Individuality, Models, Psychological, National Institute of Mental Health (U.S.), Research Design, United States, Reproducibility of Results
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review