Cited by 615Psychology of Social InfluenceDeception detection and forensic psychologyPsychological Testing and Assessment

The DOI matches its Crossref record; 19 of the 20 references it cites were found in a registry or an index.

The Good-Subject Effect: Investigating Participant Demand Characteristics

Nichols, Austin Lee, Maner, Jon K.·2008·The Journal of General Psychology

DOI 10.3200/genp.135.2.151-166

Open this paper in CoChat — free account

Abstract

Although researchers are often concerned with the presence of participant demand, few have directly examined effects of demand on participant behavior. Before beginning the present study, a confederate informed participants (N = 100) of the study's purported hypothesis. Participants then performed a laboratory task designed to evaluate the extent to which they would respond in ways that may confirm or disconfirm the hypothesis of the study. The authors found that participants tended to respond in ways that confirmed the hypothesis, yet this tendency depended on attitudes toward the experiment or experimenter and other individual differences. In addition, results suggested that suspicion probes may be ineffective in measuring participants' previous knowledge and suspicion. Findings indicate the need for more research and consideration of demand in the design of studies and analysis of data.

Integrity signals

Registry

Crossref · 10.3200/genp.135.2.151-166

Cites

19 of 19 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Untitled work
(2005) · CTIT technical reports series · Cited by 5,307
On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications.
Orne, M. T. (1962) · American Psychologist · doi:10.1037/h0043424 · Cited by 4,041
Obedience to Authority: An Experimental View.
Wenglinsky, M., & Milgram, S. (1975) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2064024 · Cited by 3,291
Impression Management: The Self-Concept, Social Identity, and Interpersonal Relations.
Scott, M. B., & Schlenker, B. R. (1981) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2067758 · Cited by 2,057
International Affective Picture System (IAPS): Instruction Manual and Affective Ratings (Tech. Rep. No. A-4)
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1999) · Cited by 1,664
Individual differences in sociosexuality: Evidence for convergent and discriminant validity.
Simpson, J. A., & Gangestad, S. W. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.60.6.870 · Cited by 1,401
The effects of experimenter gender on pain report in male and female subjects
Levine, F. M., & Simone, L. L. D. (1991) · Pain · doi:10.1016/0304-3959(91)90149-r · Cited by 369
Sexually Selective Cognition: Beauty Captures the Mind of the Beholder.
Maner, J. K., Kenrick, D. T., Becker, D. V., Delton, A. W., Hofer, B., Wilbur, C. J., & Neuberg, S. L. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.85.6.1107 · Cited by 338
Understanding behavior in the Milgram obedience experiment: The role of personality, situations, and their interactions.
Blass, T. (1991) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.60.3.398 · Cited by 300
Comparing Continuous and Dichotomous Scoring of the Balanced Inventory of Desirable Responding
Stöber, J., Dette-Hagenmeyer, D. E., & Musch, J. (2002) · Journal of Personality Assessment · doi:10.1207/s15327752jpa7802_10 · Cited by 235

Show all 20 references

Sorted by citations

Meta-analysis of action video game impact on perceptual, attentional, and cognitive skills.
Bediou, B., Adams, D. M., Mayer, R. E., Tipton, E., Green, C. S., & Bavelier, D. (2018) · Psychological Bulletin · doi:10.1037/bul0000130 · Cited by 807
Biochemical verification of tobacco use and abstinence: 2019 update
Benowitz, N. L., Bernert, J. T., Foulds, J., Hecht, S. S., Jacob, P., Jarvis, M. J., Joseph, A., Oncken, C., & Piper, M. E. (2020) · Nicotine & Tobacco Research · doi:10.1093/ntr/ntz132 · Cited by 619
Searching for the backfire effect: Measurement and design considerations.
Swire-Thompson, B., DeGutis, J., & Lazer, D. (2020) · Journal of Applied Research in Memory and Cognition · doi:10.1016/j.jarmac.2020.06.006 · Cited by 360
Experimental reductions of delay discounting and impulsive choice: A systematic review and meta-analysis.
Rung, J. M., & Madden, G. J. (2018) · Journal of Experimental Psychology: General · doi:10.1037/xge0000462 · Cited by 358
The predictive validity of ideal partner preferences: A review and meta-analysis.
Eastwick, P. W., Luchies, L. B., Finkel, E. J., & Hunt, L. L. (2013) · Psychological Bulletin · doi:10.1037/a0032432 · Cited by 359
Fixation and creativity in concept development: The attitudes and practices of expert designers
Crilly, N. (2015) · Design Studies · doi:10.1016/j.destud.2015.01.002 · Cited by 330
To Be or Not to Be …Human? Theorizing the Role of Human-Like Competencies in Conversational Artificial Intelligence Agents
Chandra, S., Shirish, A., & Srivastava, S. C. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2127441 · Cited by 315
Neurofeedback with fMRI: A critical systematic review
Thibault, R. T., MacPherson, A., Lifshitz, M., Roth, R. R., & Raz, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.071 · Cited by 312
Defining and Measuring Meditation-Related Adverse Effects in Mindfulness-Based Programs
Britton, W. B., Lindahl, J. R., Cooper, D. J., Canby, N. K., & Palitsky, R. (2021) · Clinical Psychological Science · doi:10.1177/2167702621996340 · Cited by 278
The self-regulating brain and neurofeedback: experimental science and clinical promise
Thibault, R. T., Lifshitz, M., & Raz, A. (2016) · Cortex · doi:10.1016/j.cortex.2015.10.024 · Cited by 272
"Yours is better!"
Dell, N. L., Vaidyanathan, V., Medhi, I., Cutrell, E. B., & Thies, W. (2012) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2207676.2208589 · Cited by 286
Improving Methodological Standards in Behavioral Interventions for Cognitive Enhancement
Green, C. S., Bavelier, D., Kramer, A. F., Vinogradov, S., Ulrich Ansorge, A., Ball, K., Bingel, U., Chein, J. M., Colzato, L. S., Edwards, J. D., et al. (2019) · Journal of Cognitive Enhancement · doi:10.1007/s41465-018-0115-y · Cited by 257
The brief aggression questionnaire: psychometric and behavioral evidence for an efficient measure of trait aggression
Webster, G. D., DeWall, C. N., Pond, R. S., Deckman, T., Jonason, P. K., Le, B. M., Nichols, A., Schember, T. O., Crysel, L. C., Crosier, B. S., et al. (2013) · Aggressive Behavior · doi:10.1002/ab.21507 · Cited by 258
Self-citation
Diversity Training Goals, Limitations, and Promise: A Review of the Multidisciplinary Literature
Devine, P. G., & Ash, T. L. (2021) · Annual Review of Psychology · doi:10.1146/annurev-psych-060221-122215 · Cited by 293
On methodological standards in training and transfer experiments
Green, C. S., Strobach, T., & Schubert, T. (2013) · Psychological Research · doi:10.1007/s00426-013-0535-3 · Cited by 207
Going green for self or for others? Gender and identity salience effects on sustainable consumption
Pinto, D. C., Herter, M. M., Rossi, P., & Borges, A. A., Jr. (2014) · International Journal of Consumer Studies · doi:10.1111/ijcs.12114 · Cited by 188
Assessing the Effect of Visualizations on Bayesian Reasoning through Crowdsourcing
Micallef, L., Dragicevic, P., & Fekete, J. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.199 · Cited by 166
Decisional enhancement and autonomy: public attitudes towards overt and covert nudges
Felsen, G., Castelo, N., & Reiner, P. B. (2013) · Judgment and Decision Making · doi:10.1017/s1930297500005933 · Cited by 168
Structuring, Aggregating, and Evaluating Crowdsourced Design Critique
Luther, K., Tolentino, J.-L., Wu, W., Pavel, A., Bailey, B. P., Agrawala, M., Hartmann, B., & Dow, S. P. (2015) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2675133.2675283 · Cited by 163
Measuring the Prevalence of Problematic Respondent Behaviors among MTurk, Campus, and Community Participants
Necka, E. A., Cacioppo, S., Norman, G. J., & Cacioppo, J. T. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157732 · Cited by 183
Episodic future thinking reduces delay discounting and cigarette demand: an investigation of the good-subject effect
Stein, J. S., Tegge, A. N., Turner, J. K., & Bickel, W. K. (2018) · Journal of Behavioral Medicine · doi:10.1007/s10865-017-9908-1 · Cited by 159
The bogus taste test: Validity as a measure of laboratory food intake
Robinson, E., Haynes, A., Hardman, C. A., Kemps, E., Higgs, S., & Jones, A. (2017) · Appetite · doi:10.1016/j.appet.2017.05.002 · Cited by 154
Low Hopes, High Expectations
Klein, O., Doyen, S., Leys, C., da Gama, P. A. M. D. S., Miller, S., Questienne, L., & Axel Cleeremans, B. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612463704 · Cited by 151
A mindfulness intervention promoting work–life balance: How segmentation preference affects changes in detachment, well‐being, and work–life balance
Althammer, S. E., Reis, D., van der Beek, S., Beck, L., & Michel, A. (2021) · Journal of Occupational and Organizational Psychology · doi:10.1111/joop.12346 · Cited by 151
Effects of the Maytiv positive psychology school program on early adolescents' well-being, engagement, and achievement
Shoshani, A., Steinmetz, S., & Kanat-Maymon, Y. (2016) · Journal of School Psychology · doi:10.1016/j.jsp.2016.05.003 · Cited by 132
Uptake and usage of cost-reflective electricity pricing: Insights from psychology and behavioural economics
Hobman, E. V., Frederiks, E. R., Stenner, K., & Meikle, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.12.144 · Cited by 136
Positive Education for Young Children: Effects of a Positive Psychology Intervention for Preschool Children on Subjective Well Being and Learning Behaviors
Shoshani, A., & Slone, M. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01866 · Cited by 119
Public Attitudes Toward Cognitive Enhancement
Fitz, N. S., Nadler, R., Manogaran, P., Chong, E. W. J., & Reiner, P. B. (2013) · Neuroethics · doi:10.1007/s12152-013-9190-z · Cited by 119
Developing a gamified mobile application to encourage sustainable energy use in the office
Oppong-Tawiah, D., Webster, J., Staples, D. S., Cameron, A., de Guinea, A. O., & Hung, T. Y. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.051 · Cited by 127
Student attitudes to games-based skills development: Learning from video games in higher education
Barr, M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.11.030 · Cited by 119
Home robotic devices for older adults: opportunities and concerns
Deutsch, I., Erel, H., Paz, M., Hoffman, G., & Zuckerman, O. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.04.002 · Cited by 115
Stereotype manipulation effects on math and spatial test performance: A meta-analysis
Doyle, R. A., & Voyer, D. (2016) · Learning and Individual Differences · doi:10.1016/j.lindif.2015.12.018 · Cited by 126
Neurofeedback, self-regulation and brain imaging: clinical science and fad in the service of mental disorders
Thibault, R. T., Lifshitz, M., Birbaumer, N., & Raz, A. (2015) · Psychotherapy and Psychosomatics · doi:10.1159/000371714 · Cited by 112
'I Just Want to Hack Myself to Not Get Distracted'
Lyngs, U., Lukoff, K., Slovák, P., Seymour, W., Webb, H., Jirotka, M. D., Zhao, J., Kleek, M. G. V., & Shadbolt, N. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376672 · Cited by 125
Measuring Mindfulness in Youth: Review of Current Assessments, Challenges, and Future Directions
Goodman, M. S., Madni, L. A., & Semple, R. J. (2017) · Mindfulness · doi:10.1007/s12671-017-0719-9 · Cited by 132
What’s the Harm in Asking About Suicidal Ideation?
Mathias, C. W., Michael Furr, R., Sheftall, A. H., Hill‐Kapturczak, N., Crum, P., & Dougherty, D. M. (2012) · Suicide and Life-Threatening Behavior · doi:10.1111/j.1943-278x.2012.0095.x · Cited by 99
Electric vehicles adoption: Environmental enthusiast bias in discrete choice models
Smith, B., Olaru, D., Jabeen, F., & Greaves, S. P. (2017) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2017.01.008 · Cited by 111
Anchoring effect in legal decision-making: A meta-analysis.
Bystranowski, P., Janik, B., Próchnicki, M., & Skórska, P. (2021) · Law and Human Behavior · doi:10.1037/lhb0000438 · Cited by 119
Does the Prefrontal Cortex Play an Essential Role in Consciousness? Insights from Intracranial Electrical Stimulation of the Human Brain
Raccah, O., Block, N., & Fox, K. C. R. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1141-20.2020 · Cited by 96
Making construction safety training interesting: A field-based quasi-experiment to test the relationship between emotional arousal and situational interest among adult learners
Bhandari, S., Hallowell, M. R., & Correll, J. (2019) · Safety Science · doi:10.1016/j.ssci.2019.03.028 · Cited by 106
Are all “research fields” equal? Rethinking practice for the use of data from crowdsourcing market places
Gleibs, I. H. (2016) · Behavior Research Methods · doi:10.3758/s13428-016-0789-y · Cited by 93
Beyond conformity: Social influences on pain reports and physiology.
Koban, L., & Wager, T. D. (2016) · Emotion · doi:10.1037/emo0000087 · Cited by 92
Quantifying the Difference Between Active and Passive Control Groups in Cognitive Interventions Using Two Meta-analytical Approaches
Au, J., Gibson, B. C., Bunarjo, K., Buschkuehl, M., & Jaeggi, S. M. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00164-6 · Cited by 100
Midwifery students' experiences of simulation- and skills training
Lendahls, L., & Oscarsson, M. G. (2016) · Nurse Education Today · doi:10.1016/j.nedt.2016.12.005 · Cited by 91
Sixty Years After Orne’s American Psychologist Article: A Conceptual Framework for Subjective Experiences Elicited by Demand Characteristics
Corneille, O., & Lush, P. (2022) · Personality and Social Psychology Review · doi:10.1177/10888683221104368 · Cited by 130
The white-man effect: How foreigner presence affects behavior in experiments
Cilliers, J., Dube, O., & Siddiqi, B. M. (2015) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2015.03.015 · Cited by 85
Evaluating energy behavior change programs using randomized controlled trials: Best practice guidelines for policymakers
Frederiks, E. R., Stenner, K., Hobman, E. V., & Fischle, M. (2016) · Energy Research & Social Science · doi:10.1016/j.erss.2016.08.020 · Cited by 90
A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt
Cellina, F., Bucher, D., Mangili, F., Simão, J. V., Rudel, R., & Raubal, M. (2019) · Sustainability · doi:10.3390/su11092674 · Cited by 85
Effectiveness of IT-based diabetes management interventions: a review of the literature
Costa, B. M., Fitzgerald, K., Jones, K., & Dunning, T. L. (2009) · BMC Family Practice · doi:10.1186/1471-2296-10-72 · Cited by 78
Mind-Reading or Misleading? Assessing Direct-to-Consumer Electroencephalography (EEG) Devices Marketed for Wellness and Their Ethical and Regulatory Implications
Wexler, A., & Thibault, R. T. (2018) · Journal of Cognitive Enhancement · doi:10.1007/s41465-018-0091-2 · Cited by 76
Human-human-robot interaction: robotic object’s responsive gestures improve interpersonal evaluation in human interaction
Rifinski, D., Erel, H., Feiner, A., Hoffman, G., & Zuckerman, O. (2020) · Human-Computer Interaction · doi:10.1080/07370024.2020.1719839 · Cited by 73
Positive Psychology Intervention to Alleviate Child Depression and Increase Life Satisfaction
Kwok, S. Y. C. L., Gu, M., & Tong, K. K. K. (2016) · Research on Social Work Practice · doi:10.1177/1049731516629799 · Cited by 83
One Size Does Not Fit All: In Support of Psychotherapy for Gender Dysphoria
D’Angelo, R., Syrulnik, E., Ayad, S., Marchiano, L., Kenny, D. T., & Clarke, P. (2020) · Archives of Sexual Behavior · doi:10.1007/s10508-020-01844-2 · Cited by 70
Creating meaningful work for employees: The role of inclusive leadership
Shafaei, A., & Nejati, M. (2023) · Human Resource Development Quarterly · doi:10.1002/hrdq.21512 · Cited by 89
Dispelling the myths: Can psychoeducation change public attitudes towards sex offenders?
Kleban, H., & Jeglic, E. L. (2011) · Journal of Sexual Aggression · doi:10.1080/13552600.2011.552795 · Cited by 62
What do people desire in their leaders? The role of leadership level on trait desirability
Nichols, A., & Cottrell, C. A. (2014) · The Leadership Quarterly · doi:10.1016/j.leaqua.2014.04.001 · Cited by 60
Self-citation
Initial developmental process of a VA semistructured clinical interview for TBI identification
Vanderploeg, R. D., Groer, S., & Belanger, H. G. (2012) · The Journal of Rehabilitation Research and Development · doi:10.1682/jrrd.2011.04.0069 · Cited by 60
An investigation of proposed techniques for quantifying confidence in assurance arguments
Graydon, P., & Holloway, C. M. (2016) · Safety Science · doi:10.1016/j.ssci.2016.09.014 · Cited by 60
Autonomous sensory meridian response: Scale development and personality correlates.
Roberts, N., Beath, A., & Boag, S. (2018) · Psychology of Consciousness Theory Research and Practice · doi:10.1037/cns0000168 · Cited by 65
Excluded by Robots
Erel, H., Cohen, Y., Shafrir, K., Levy, S. D., Vidra, I., Tov, T. S., & Zuckerman, O. (2021) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3434073.3444648 · Cited by 58
In the Arms of a Robot: Designing Autonomous Hugging Robots with Intra-Hug Gestures
Block, A. E., Seifi, H., Hilliges, O., Gassert, R., & Kuchenbecker, K. J. (2023) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3526110 · Cited by 58
Placebo, Prozac and PLoS: significant lessons for psychopharmacology
Horder, J., Matthews, P., & WALDMANN, R. J. (2010) · Journal of Psychopharmacology · doi:10.1177/0269881110372544 · Cited by 57
How sounds influence user safety decisions in a virtual construction simulator
Lu, X., & Davis, S. (2016) · Safety Science · doi:10.1016/j.ssci.2016.02.018 · Cited by 56
Images of Thin and Plus-Size Models Produce Opposite Effects on Women’s Body Image, Body Dissatisfaction, and Anxiety
Moreno‐Domínguez, S., Servián-Franco, F., del Paso, G. A. R., & Antonio Cepeda-benito, A. (2018) · Sex Roles · doi:10.1007/s11199-018-0951-3 · Cited by 54
Brief gatekeeper training for suicide prevention in an ethnic minority population: a controlled intervention
Teo, A. R., Andrea, S. B., Sakakibara, R., Motohara, S., Matthieu, M. M., & Fetters, M. D. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0924-4 · Cited by 53
Everyone Else Is Doing It: The Association Between Social Identity and Susceptibility to Peer Influence in NCAA Athletes
Graupensperger, S. A., Benson, A. J., & Evans, M. B. (2018) · Journal of Sport and Exercise Psychology · doi:10.1123/jsep.2017-0339 · Cited by 65
Normative arguments from experts and peers reduce delay discounting
Senecal, N., Wang, T., Thompson, E., & Kable, J. W. (2012) · Judgment and Decision Making · doi:10.1017/s1930297500006306 · Cited by 51
Is Marine Stewardship Council’s ecolabel a rising tide for all? Consumers’ willingness to pay for origin-differentiated ecolabeled canned tuna
Lim, K. H., Hu, W., & Nayga, R. M. (2018) · Marine Policy · doi:10.1016/j.marpol.2018.07.015 · Cited by 56
Do eating behavior traits predict energy intake and body mass index? A systematic review and meta‐analysis
Dakin, C. A., Beaulieu, K., Hopkins, M., Gibbons, C., Finlayson, G., & Stubbs, R. J. (2022) · Obesity Reviews · doi:10.1111/obr.13515 · Cited by 54
A Qualitative Report on the Subjective Experience of Intravenous Psilocybin Administered in an fMRI Environment
Turton, S., Nutt, D., & Carhart-Harris, R. L. (2015) · Current Drug Abuse Reviews · doi:10.2174/1874473708666150107120930 · Cited by 55
A study of the use of simulated work task situations in interactive information retrieval evaluations
Borlund, P. (2016) · Journal of Documentation · doi:10.1108/jd-06-2015-0068 · Cited by 49
Understanding student engagement with research: a study of pre-service teachers’ research perceptions, research experience, and motivation
Guilbert, D., Lane, R., & Bergen, P. V. (2015) · Asia-Pacific Journal of Teacher Education · doi:10.1080/1359866x.2015.1070118 · Cited by 50
Integrating Positive Psychology and Elements of Music Therapy to Alleviate Adolescent Anxiety
Kwok, S. Y. C. L. (2018) · Research on Social Work Practice · doi:10.1177/1049731518773423 · Cited by 56
Objective evaluation of compliance after orthodontic treatment using Hawley or vacuum-formed retainers: A 2-center randomized controlled trial over a 3-month period
Vagdouti, G., Karvouni, E., Bitsanis, E., & Koletsi, D. (2019) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2019.07.008 · Cited by 48
Effects of visual exposure to wood on human affective states, physiological arousal and cognitive performance: A systematic review of randomized trials
Lipovac, D., & Burnard, M. (2020) · Indoor and Built Environment · doi:10.1177/1420326x20927437 · Cited by 57
Effects of visual map complexity on the attentional processing of landmarks
Keil, J., Edler, D., Kuchinke, L., & Dickmann, F. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229575 · Cited by 54
Who accepts nudges? nudge acceptability from a self-regulation perspective
van Gestel, L. C., Adriaanse, M. A., & de Ridder, D. T. D. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260531 · Cited by 50
A neural trait approach to exploring individual differences in social preferences
Nash, K. A., Gianotti, L. R. R., & Knoch, D. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00458 · Cited by 46
The Validity of Self-Reported Medication Adherence as an Outcome in Clinical Trials of Adherence-Promotion Interventions: Findings from the MACH14 Study
Simoni, J. M., Huh, D., Wang, Y., Wilson, I. B., Reynolds, N. R., Remien, R. H., Goggin, K., Gross, R., Rosen, M. I., Schneiderman, N., et al. (2014) · AIDS and Behavior · doi:10.1007/s10461-014-0905-x · Cited by 44
Neurofeedback Against Binge Eating: A Randomized Controlled Trial in a Female Subclinical Threshold Sample
Schmidt, J., & Martin, A. (2016) · European Eating Disorders Review · doi:10.1002/erv.2453 · Cited by 50
The effect of a yellow bicycle jacket on cyclist accidents
Lahrmann, H. S., Madsen, T. K. O., Olesen, A. V., Madsen, J. C. O., & Hels, T. (2017) · Safety Science · doi:10.1016/j.ssci.2017.08.001 · Cited by 48
Retail-based healthy food point-of-decision prompts (PDPs) increase healthy food choices in a rural, low-income, minority community
Gustafson, C. R., Kent, R., & Prate, M. R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207792 · Cited by 44
Experimenters' Influence on Mental-Imagery based Brain-Computer Interface User Training
Pillette, L., Roc, A., N’Kaoua, B., & Lotte, F. (2021) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2021.102603 · Cited by 44
Impact of Literacy and Numeracy on Motivation for Behavior Change After Diabetes Genetic Risk Testing
Vassy, J. L., OʼBrien, K., Waxler, J. L., Park, E. R., Delahanty, L. M., Florez, J. C., Meigs, J. B., & Grant, R. W. (2012) · Medical Decision Making · doi:10.1177/0272989x11431608 · Cited by 46
Engaging in an experiential processing mode increases positive emotional response during recall of pleasant autobiographical memories
Gadeikis, D., Bos, N., Schweizer, S., Murphy, F. C., & Dunn, B. D. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.02.005 · Cited by 50
Demand characteristics in episodic future thinking II: The role of cues and cue content in changing delay discounting.
Rung, J. M., & Madden, G. J. (2019) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000260 · Cited by 47
Oral cleanliness in daily users of powered vs. manual toothbrushes – a cross-sectional study
Petker-Jung, W., Weik, U., Margraf‐Stiksrud, J., & Deinzer, R. (2019) · BMC Oral Health · doi:10.1186/s12903-019-0790-9 · Cited by 41
Why don’t we care more about carelessness? Understanding the causes and consequences of careless participants
Nichols, A., & Edlund, J. E. (2020) · International Journal of Social Research Methodology · doi:10.1080/13645579.2020.1719618 · Cited by 41
Self-citation
The role of brand personality in the formation of consumer affect and self-brand connection
McManus, J. F., Carvalho, S. W., & Trifts, V. (2021) · Journal of Product & Brand Management · doi:10.1108/jpbm-08-2020-3039 · Cited by 44
Why we Should Rethink Our Approach to Embodiment and Presence
Forster, P.-P., Karimpur, H., & Fiehler, K. (2022) · Frontiers in Virtual Reality · doi:10.3389/frvir.2022.838369 · Cited by 49
Assessing safety critical driving patterns of heavy passenger vehicle drivers using instrumented vehicle data – An unsupervised approach
Yarlagadda, J., Jain, P., & Pawar, D. S. (2021) · Accident Analysis & Prevention · doi:10.1016/j.aap.2021.106464 · Cited by 39
The Minimum Viable Product (MVP): Theory and Practice
Stevenson, R. M., Burnell, D., & Fisher, G. (2024) · Journal of Management · doi:10.1177/01492063241227154 · Cited by 59
CodeWalk: Facilitating Shared Awareness in Mixed-Ability Collaborative Software Development
Potluri, V., Pandey, M., Begel, A., Barnett, M., & Reitherman, S. (2022) · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3517428.3544812 · Cited by 39
Measuring users’ emotional responses in multisensory virtual reality: a systematic literature review
Magalhães, M., Coelho, A. F., Melo, M., & Bessa, M. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16918-1 · Cited by 39
Disclosure by Design: Designing information disclosures to support meaningful transparency and accountability
Norval, C., Cornelius, K. B., Cobbe, J., & Singh, J. P. (2022) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3531146.3533133 · Cited by 55
Consumer context-specific sensory acceptance tests: Effects of a cognitive warm-up on affective product discrimination
Kim, M.-A., Dessirier, J.-M., van Hout, D., & Lee, H.-S. (2014) · Food Quality and Preference · doi:10.1016/j.foodqual.2014.11.019 · Cited by 36
Practicing What We Preach (and Sometimes Study): Methodological Issues in Experimental Laboratory Research
Nichols, A., & Edlund, J. E. (2015) · Review of General Psychology · doi:10.1037/gpr0000027 · Cited by 34
Self-citation
Reducing the standard serving size of alcoholic beverages prompts reductions in alcohol consumption
Kersbergen, I., Oldham, M., Jones, A., Field, M., Angus, C., & Robinson, E. (2018) · Addiction · doi:10.1111/add.14228 · Cited by 32
Cognitive aids and food choice: Real-time calorie counters reduce calories ordered and correct biases in calorie estimates
Gustafson, C. R., & Zeballos, E. (2019) · Appetite · doi:10.1016/j.appet.2019.104320 · Cited by 31
ACR Members' Response to JACR White Paper on the Management of Incidental Abdominal CT Findings
Berland, L. L., Silverman, S. G., Megibow, A. J., & Mayo-Smith, W. W. (2013) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2013.06.002 · Cited by 31

Authors: Nichols, A. L., & Maner, J. K.
Affiliations: University of Florida (US)
Florida State University (US)
ORCID: Nichols, Austin Lee
Maner, Jon K.
Venue: The Journal of General Psychology
Publisher: Informa UK Limited
Published: 2008-04
Volume: 135
Issue: 2
Pages: 151-166
ISSN: 0022-1309 (ISSN-L)
1940-0888
DOI: 10.3200/genp.135.2.151-166
OpenAlex: W1982044027
Cited by: 615
References: 20
Citations by year: 2026: 42 · 2025: 58 · 2024: 60 · 2023: 57 · 2022: 51 · 2021: 74 · 2020: 44 · 2019: 40 · 2018: 39 · 2017: 39 · 2016: 33 · 2015: 24 · 2014: 12 · 2013: 20 · 2012: 11
FWCI: 11.53
Type: journal article
Language: en
Open access: closed
Locations: The Journal of General Psychology (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Psychology › Social Psychology › Psychology of Social Influence
Social Sciences › Psychology › Social Psychology › Deception detection and forensic psychology
Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
Keywords: demand characteristics, participant behavior, hypothesis confirmation, individual differences, participant knowledge
MeSH terms: Attitude, Cooperative Behavior, Helping Behavior, Humans, Individuality, Models, Psychological, Research Design, Research Subjects, Researcher-Subject Relations

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

The Good-Subject Effect: Investigating Participant Demand Characteristics

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks