Conducting Clinical Research Using Crowdsourced Convenience Samples

Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

Buhrmester, M., Kwang, T., & Gosling, S. D. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393980 · Cited by 9,996 · see citing works

Cognitive Reflection and Decision Making

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Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk

Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008 · see citing works

Running experiments on Amazon Mechanical Turk

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Instructional manipulation checks: Detecting satisficing to increase statistical power

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Conducting behavioral research on Amazon’s Mechanical Turk

Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172 · see citing works

Promoting an open research culture

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Data collection in a flat world: the strengths and weaknesses of Mechanical Turk samples

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Inside the Turk: Understanding Mechanical Turk as a Participant Pool

Paolacci, G., & Chandler, J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414531598 · Cited by 2,136 · see citing works

Crowdsourcing user studies with Mechanical Turk

Kittur, A., Ed, H., & Suh, B. (2008) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1357054.1357127 · Cited by 1,941 · see citing works

jsPsych: A JavaScript library for creating behavioral experiments in a Web browser

de Leeuw, J. R. (2014) · Behavior Research Methods · doi:10.3758/s13428-014-0458-y · Cited by 1,783 · see citing works

Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants

Hauser, D. J., & Schwarz, N. (2016) · Behavior Research Methods · doi:10.3758/s13428-015-0578-z · Cited by 1,739 · see citing works

Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing

Casler, K., Bickel, L., & Hackett, E. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.05.009 · Cited by 1,662 · cited 1× · see citing works

Reputation as a sufficient condition for data quality on Amazon Mechanical Turk

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Evaluating amazon’s mechanical turk as a tool for experimental behavioral research

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The Online Laboratory: Conducting Experiments in a Real Labor Market∗Preprint

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Survey Errors and Survey Costs.

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Field Experiments: Design, Analysis, and Interpretation

GREEN, D. P. (2024) · doi:10.61700/sgeirzx0v0mjh1252 · Cited by 1,322 · see citing works

Detecting and Deterring Insufficient Effort Responding to Surveys

Huang, J. L. W., Curran, P. G., Keeney, J., Poposki, E. M., & DeShon, R. P. (2011) · Journal of Business and Psychology · doi:10.1007/s10869-011-9231-8 · Cited by 1,315 · see citing works

The Body Appreciation Scale-2: Item refinement and psychometric evaluation

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The Generalizability of Survey Experiments

Mullinix, K. J., Leeper, T. J., Druckman, J. N., & Jeremy Freese, A. (2015) · Journal of Experimental Political Science · doi:10.1017/xps.2015.19 · Cited by 1,235 · see citing works

Investigating Variation in Replicability: A “Many Labs” Replication Project

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Using Mechanical Turk to Study Clinical Populations

Shapiro, D. N., Chandler, J., & Mueller, P. A. (2013) · Clinical Psychological Science · doi:10.1177/2167702612469015 · Cited by 1,139 · see citing works

The viability of crowdsourcing for survey research

Behrend, T. S., Sharek, D. J., Meade, A. W., & Wiebe, E. (2011) · Behavior Research Methods · doi:10.3758/s13428-011-0081-0 · Cited by 1,049 · see citing works

Separating the Shirkers from the Workers? Making Sure Respondents Pay Attention on Self‐Administered Surveys

Berinsky, A. J., Margolis, M. F., & Sances, M. W. (2014) · American Journal of Political Science · doi:10.1111/ajps.12081 · Cited by 951 · cited 1× · see citing works

Nonnaïveté among Amazon Mechanical Turk workers: Consequences and solutions for behavioral researchers

Chandler, J., Mueller, P., & Paolacci, G. (2014) · Behavior Research Methods · doi:10.3758/s13428-013-0365-7 · Cited by 950 · see citing works

“Who are these people?” Evaluating the demographic characteristics and political preferences of MTurk survey respondents

Huff, C., & Tingley, D. (2015) · Research & Politics · doi:10.1177/2053168015604648 · Cited by 903 · see citing works

Crowdsourcing graphical perception

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Turkopticon: interrupting worker invisibility in amazon mechanical turk

Irani, L. C., & Silberman, M. S. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2470742 · Cited by 798 · see citing works

Demographics of the gay and lesbian population in the United States: Evidence from available systematic data sources

Black, D. A., Gates, G. J., Sanders, S., & Taylor, L. J. (2000) · Demography · doi:10.2307/2648117 · Cited by 777 · see citing works

Amazon Mechanical Turk: Gold Mine or Coal Mine?

Fort, K., Adda, G., & Cohen, K. B. (2011) · Computational Linguistics · doi:10.1162/coli_a_00057 · Cited by 772 · see citing works

Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep

Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2014.01.001 · Cited by 738 · cited 1× · see citing works

Intuitive Cooperation and the Social Heuristics Hypothesis: Evidence from 15 Time Constraint Studies

Rand, D. G., Peysakhovich, A., Kraft‐Todd, G., Newman, G. E., Wurzbacher, O., Nowak, M. A., & Greene, J. D. (2013) · Nature Communications · doi:10.1038/ncomms4677 · Cited by 730 · see citing works

The promise of Mechanical Turk: How online labor markets can help theorists run behavioral experiments

Rand, D. G. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2011.03.004 · Cited by 686 · see citing works

Standards for Internet-Based Experimenting

Reips, U. (2002) · Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) · doi:10.1026/1618-3169.49.4.243 · Cited by 685 · see citing works

The role of impulsivity in the Dark Triad of personality

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Measuring autistic traits in the general population: a systematic review of the Autism-Spectrum Quotient (AQ) in a nonclinical population sample of 6,900 typical adult males and females

Ruzich, E., Allison, C. L., Smith, P. L., Watson, P., Bonnie Auyeung, B., RING, H. A., & Baron‐Cohen, S. (2015) · Molecular Autism · doi:10.1186/2040-2392-6-2 · Cited by 612 · see citing works

The labor economics of paid crowdsourcing

Horton, J. J., & Chilton, L. B. (2010) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/1807342.1807376 · Cited by 612 · see citing works

Internet-Delivered Psychological Treatments

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Comparing Data Characteristics and Results of an Online Factorial Survey between a Population-Based and a Crowdsource-Recruited Sample

Weinberg, J. D., Jeremy Freese, A., & McElhattan, D. (2014) · Sociological Science · doi:10.15195/v1.a19 · Cited by 582 · see citing works

Standards for Internet-Based Experimenting

Reips, U. (2002) · Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) · doi:10.1026//1618-3169.49.4.243 · Cited by 557 · see citing works

Demographics of Mechanical Turk

Ipeirotis, P. G. (2010) · Faculty Digital Archive (New York University Florence) · Cited by 494 · see citing works

Financial incentives and the "performance of crowds"

Mason, W., & Watts, D. J. (2010) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1809400.1809422 · Cited by 463 · see citing works

Internet Research in Psychology

Gosling, S. D., & Mason, W. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015321 · Cited by 458 · see citing works

Personality correlates of the broader autism phenotype as assessed by the Autism Spectrum Quotient (AQ)

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Collaborative learning in networks

Mason, W., & Watts, D. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110069108 · Cited by 356 · see citing works

Cooperation and Contagion in Web-Based, Networked Public Goods Experiments

Suri, S., & Watts, D. J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016836 · Cited by 355 · see citing works

Crowdsourcing—Harnessing the Masses to Advance Health and Medicine, a Systematic Review

Ranard, B. L., Ha, Y. P., Meisel, Z. F., Asch, D. A., Hill, S. S., Becker, L. B., Seymour, A. K., & Merchant, R. M. (2013) · Journal of General Internal Medicine · doi:10.1007/s11606-013-2536-8 · Cited by 324 · see citing works

Dimensions of Internet science

Reips, U., & Bošnjak, M. (2001) · Cited by 319 · see citing works

Cooperation and contagion in web-based, networked public goods experiments

Suri, S., & Watts, D. J. (2011) · ACM SIGecom Exchanges · doi:10.1145/1998549.1998550 · Cited by 318 · see citing works

The importance of assessing clinical phenomena in Mechanical Turk research.

Hall, K. A. A., Çek, D., Shaw, A. M., & Timpano, K. R. (2015) · Psychological Assessment · doi:10.1037/pas0000217 · Cited by 311 · see citing works

Twitter versus Facebook: Exploring the role of narcissism in the motives and usage of different social media platforms

Davenport, S. W., Bergman, S. M., Bergman, J. Z., & Fearrington, M. E. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.12.011 · Cited by 305 · see citing works

The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers

Stewart, N., Ungemach, C., Harris, A. J. L., Bartels, D. M., Newell, B. R., Paolacci, G., & Chandler, J. (2015) · Judgment and Decision Making · doi:10.1017/s1930297500005611 · Cited by 304 · cited 4× · see citing works

An MMPI-2 infrequent response scale for use with psychopathological populations: The Infrequency-Psychopathology Scale, F(p).

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Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data

Benoit, K. R., Conway, D., Lauderdale, B. E., Laver, M., & Mikhaylov, S. (2016) · American Political Science Review · doi:10.1017/s0003055416000058 · Cited by 296 · see citing works

Being a turker

Martin, D., Hanrahan, B. V., O’Neill, J., & Gupta, N. (2014) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/2531602.2531663 · Cited by 279 · see citing works

The relationship between motivation, monetary compensation, and data quality among US- and India-based workers on Mechanical Turk

Litman, L., Robinson, J., & Rosenzweig, C. (2014) · Behavior Research Methods · doi:10.3758/s13428-014-0483-x · Cited by 275 · see citing works

Scoundrels or Stars? Theory and Evidence on the Quality of Workers in Online Labor Markets

Farrell, A. M., Grenier, J. H., & Leiby, J. (2016) · The Accounting Review · doi:10.2308/accr-51447 · Cited by 274 · see citing works

Using the Amazon Mechanical Turk for transcription of spoken language

Marge, M., Banerjee, S., & Rudnicky, A. I. (2010) · IEEE International Conference on Acoustics, Speech, and Signal Processing · doi:10.1109/icassp.2010.5494979 · Cited by 272 · see citing works

The Association of Parent Mindfulness with Parenting and Youth Psychopathology across Three Developmental Stages

Parent, J., McKee, L. G., Rough, J. N., & Forehand, R. (2015) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-015-9978-x · Cited by 270 · see citing works

Designing Incentives for Inexpert Human Raters

Shaw, A., Horton, J. J., & Chen, D. L. (2010) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/1958824.1958865 · Cited by 253 · see citing works

Stigmatization of People with Pedophilia: Two Comparative Surveys

Jahnke, S., Imhoff, R., & Hoyer, J. (2014) · Archives of Sexual Behavior · doi:10.1007/s10508-014-0312-4 · Cited by 206 · see citing works

Is There a Cost to Convenience? An Experimental Comparison of Data Quality in Laboratory and Online Studies

Clifford, S., & Jerit, J. (2014) · Journal of Experimental Political Science · doi:10.1017/xps.2014.5 · Cited by 206 · see citing works

Coverage Bias in Traditional Telephone Surveys of Low-Income and Young Adults

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Work experiences on MTurk: Job satisfaction, turnover, and information sharing

Brawley, A. M., & Pury, C. L. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.031 · Cited by 188 · see citing works

Using Nonnaive Participants Can Reduce Effect Sizes

Chandler, J., Paolacci, G., Peer, E., Mueller, P., & Ratliff, K. A. (2015) · Psychological Science · doi:10.1177/0956797615585115 · Cited by 185 · see citing works

Common (Mis)Beliefs about Memory: A Replication and Comparison of Telephone and Mechanical Turk Survey Methods

Simons, D. J., & Chabris, C. F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051876 · Cited by 180 · see citing works

2010 Amendments to the 2002 "Ethical principles of psychologists and code of conduct".

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It’s a Trap! Instructional Manipulation Checks Prompt Systematic Thinking on “Tricky” Tasks

Hauser, D., & Schwarz, N. (2015) · SAGE Open · doi:10.1177/2158244015584617 · Cited by 173 · see citing works

Differential effects of weight bias experiences and internalization on exercise among women with overweight and obesity

Pearl, R. L., Puhl, R. M., & Dovidio, J. F. (2014) · Journal of Health Psychology · doi:10.1177/1359105313520338 · Cited by 166 · see citing works

QRTEngine: An easy solution for running online reaction time experiments using Qualtrics

Barnhoorn, J. S., Haasnoot, E., Bocanegra, B. R., & van Steenbergen, H. (2015) · Behavior Research Methods · doi:10.3758/s13428-014-0530-7 · Cited by 166 · see citing works

Man enough? Masculine discrepancy stress and intimate partner violence

Reidy, D. E., Berke, D. S., Gentile, B., & Zeichner, A. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.04.021 · Cited by 160 · see citing works

Daily Emotion in Non-Suicidal Self-Injury

Victor, S. E., & Klonsky, E. D. (2013) · Journal of Clinical Psychology · doi:10.1002/jclp.22037 · Cited by 160 · see citing works

The Cyberchondria Severity Scale (CSS): An examination of structure and relations with health anxiety in a community sample

Fergus, T. A. (2014) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2014.05.006 · Cited by 159 · see citing works

Crowdsourcing performance evaluations of user interfaces

Komarov, S., Reinecke, K., & Gajos, K. Z. (2013) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2470684 · Cited by 157 · see citing works

Ethics and tactics of professional crowdwork

Silberman, M. ‘., Irani, L. C., & Ross, J. (2010) · XRDS Crossroads The ACM Magazine for Students · doi:10.1145/1869086.1869100 · Cited by 144 · see citing works

Professional respondents in nonprobability online panels

Hillygus, D. S., Jackson, N., & Young, M. (2014) · Wiley eBooks · doi:10.1002/9781118763520.ch10 · Cited by 138 · see citing works

Negative affect intensity influences drinking to cope through facets of emotion dysregulation

Veilleux, J. C., Skinner, K. D., Reese, E. D., & Shaver, J. A. (2013) · Personality and Individual Differences · doi:10.1016/j.paid.2013.11.012 · Cited by 128 · see citing works

Enhancing social relationships through positive psychology activities: a randomised controlled trial

O’Connell, B. H., O’Shea, D., & Gallagher, S. (2016) · The Journal of Positive Psychology · doi:10.1080/17439760.2015.1037860 · Cited by 121 · see citing works

Crowdsourcing and personality measurement equivalence: A warning about countries whose primary language is not English

Feitosa, J., Joseph, D. L., & Newman, D. A. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.11.017 · Cited by 121 · see citing works

Participants at Your Fingertips

Johnson, D. R., & Borden, L. A. (2012) · Teaching of Psychology · doi:10.1177/0098628312456615 · Cited by 119 · see citing works

Swapping bricks for clicks: Crowdsourcing longitudinal data on Amazon Turk

Daly, T. M., & Nataraajan, R. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2015.05.001 · Cited by 119 · see citing works

Using Nonnaive Participants Can Reduce Effect SizesPreprint

Chandler, J., Paolacci, G., Péer, E., Mueller, P. A., & Ratliff, K. A. (2015) · RePEc: Research Papers in Economics · Cited by 118 · see citing works

The face of quality in crowdsourcing relevance labels

Kazai, G., Kamps, J., & Milić-Frayling, N. (2012) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2396761.2398697 · Cited by 115 · see citing works

The public stigma of mental illness means a difference between you and me

Corrigan, P. W., Bink, A. B., Fokuo, J. K., & Schmidt, A. (2015) · Psychiatry Research · doi:10.1016/j.psychres.2014.12.047 · Cited by 114 · see citing works

Commonalities in grief responding across bereavement and non-bereavement losses

Papa, A., Lancaster, N. G., & Kahler, J. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.03.018 · Cited by 113 · see citing works

Opportunity costs of reward delays and the discounting of hypothetical money and cigarettes

Johnson, P. S., Herrmann, E. S., & Johnson, M. W. (2014) · Journal of the Experimental Analysis of Behavior · doi:10.1002/jeab.110 · Cited by 112 · see citing works

Non-suicidal self-injury disorder in a community sample of adults

Andover, M. S. (2014) · Psychiatry Research · doi:10.1016/j.psychres.2014.06.001 · Cited by 112 · see citing works

Using Mechanical Turk to Study Family Processes and Youth Mental Health: A Test of Feasibility

Schleider, J. L., & Weisz, J. R. (2015) · Journal of Child and Family Studies · doi:10.1007/s10826-015-0126-6 · Cited by 112 · see citing works

Attitudes Over Time: The Psychology of Panel Conditioning

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The Effect of Experimental Mortality on the Internal and External Validity of the Randomized Comparative Experiment

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LGBT Demographics: Comparisons among population-based surveys

Gates, G. J. (2014) · eScholarship (California Digital Library) · Cited by 109 · see citing works

Evaluating and improving the usability of Mechanical Turk for low-income workers in India

Khanna, S., Ratan, A. L., Davis, J., & Thies, W. (2010) · ACM Symposium on Computing for Development (ACM DEV) · doi:10.1145/1926180.1926195 · Cited by 107 · see citing works

Short Forms of the Social Interaction Anxiety Scale and the Social Phobia Scale

Fergus, T. A., Valentiner, D. P., McGrath, P. B., Gier-Lonsway, S. L., & Kim, H.-S. (2012) · Journal of Personality Assessment · doi:10.1080/00223891.2012.660291 · Cited by 105 · see citing works

The Associations Among Dark Personalities and Sexual Tactics Across Different Scenarios

Jones, D. N., & Olderbak, S. G. (2013) · Journal of Interpersonal Violence · doi:10.1177/0886260513506053 · Cited by 98 · see citing works

Collecting response times using Amazon Mechanical Turk and Adobe Flash

Simcox, T., & Fiez, J. A. (2013) · Behavior Research Methods · doi:10.3758/s13428-013-0345-y · Cited by 97 · see citing works

Online crowdsourcing for efficient rating of speech: A validation study

Byun, T. M., Halpin, P. F., & Szeredi, D. (2014) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2014.11.003 · Cited by 95 · see citing works

Emotion regulation and obsessive–compulsive symptoms: A further examination of associations

Fergus, T. A., & Bardeen, J. R. (2014) · Journal of Obsessive-Compulsive and Related Disorders · doi:10.1016/j.jocrd.2014.06.001 · Cited by 93 · see citing works

Validation of the Cyberchondria Severity Scale (CSS): Replication and extension with bifactor modeling

Norr, A. M., Allan, N. P., Boffa, J. W., Raines, A. M., & Schmidt, N. B. (2015) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2015.02.001 · Cited by 92 · see citing works

The chronic disease concept of addiction: Helpful or harmful?

Wiens, T. K., & Walker, L. J. (2014) · Addiction Research & Theory · doi:10.3109/16066359.2014.987760 · Cited by 92 · see citing works

The Five-Factor Narcissism Inventory (FFNI): A test of the convergent, discriminant, and incremental validity of FFNI scores in clinical and community samples.

Miller, J. D., Few, L. R., Wilson, L. F., Gentile, B., Widiger, T. A., MacKillop, J., & Campbell, W. K. (2013) · Psychological Assessment · doi:10.1037/a0032536 · Cited by 88 · see citing works

‘Subtypes’ in the Presentation of Autistic Traits in the General Adult Population

Palmer, C. J., Paton, B. K., Enticott, P. G., & Hohwy, J. (2014) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-014-2289-1 · Cited by 87 · see citing works

Sexual Interest in Children Among an Online Sample of Men and Women

Wurtele, S. K., Simons, D. A., & Moreno, T. (2013) · Sexual Abuse · doi:10.1177/1079063213503688 · Cited by 84 · see citing works

Turk-Life in India

Gupta, N., Martin, D., Hanrahan, B. V., & O’Neill, J. (2014) · International ACM SIGGROUP Conference on Supporting Group Work (GROUP) · doi:10.1145/2660398.2660403 · Cited by 82 · see citing works

A positive effect of flowers rather than eye images in a large-scale, cross-cultural dictator game

Raihani, N., & Bshary, R. (2012) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2012.0758 · Cited by 82 · see citing works

Mechanical Turk is Not AnonymousPreprint

Lease, M., Hullman, J. R., Bigham, J. P., Bernstein, M. S., Kim, J., Lasecki, W. S., Bakhshi, S., Mitra, T., & Miller, R. C. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2228728 · Cited by 82 · see citing works

Development and validation of the Specific Loss of Interest and Pleasure Scale (SLIPS)

Winer, E. S., Veilleux, J. C., & Ginger, E. J. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.09.010 · Cited by 79 · see citing works

Risks and Rewards of Crowdsourcing Marketplaces

Chandler, J. J., Paolacci, G., & Mueller, P. A. (2013) · Handbook of Human Computation · doi:10.1007/978-1-4614-8806-4_30 · Cited by 79 · see citing works

Privacy Attitudes of Mechanical Turk Workers and the U.S. Public

Kang, R., Brown, S. L., Dabbish, L., & Kiesler, S. B. (2014) · Symposium On Usable Privacy and Security · Cited by 78 · see citing works

Support matching and satisfaction in an online breast cancer support community

Vlahovic, T. A., Wang, Y., Kraut, R. E., & Levine, J. M. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557108 · Cited by 77 · see citing works

Cognitive behavioral therapy and pharmacotherapy for anxiety: Treatment preferences and credibility among pregnant and non-pregnant women

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Lay beliefs about autism spectrum disorder among the general public and childcare providers

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Do Mechanical Turks dream of square pie charts?

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Selectively Recruiting Participants from Amazon Mechanical Turk Using QualtricsPreprint

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Convergent and Discriminant Validity of the Five Factor Form

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Abstract Analogical Reasoning in High‐Functioning Children with Autism Spectrum Disorders

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Investigating Several Factors Potentially Related to Endorsing Gambling as an Escape

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Designing a brief measure of social anxiety: Psychometric support for a three-item version of the Interaction Anxiousness Scale (IAS-3)

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Does the Sun revolve around the Earth? A comparison between the general public and online survey respondents in basic scientific knowledge

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Uncertainty, god, and scrupulosity: Uncertainty salience and priming god concepts interact to cause greater fears of sin

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Autism-spectrum traits predict humor styles in the general population

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Human Computation in Citizen Science

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Interactive Effects of Anxiety Sensitivity and Emotion Regulation on Anxiety Symptoms

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Establishing the psychometric properties of the Self and Perceived-partner Authenticity in Relationships Scale-Short Form (AIRS-SF): Measurement invariance, reliability, and incremental validity

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Volunteering and Reemployment Status in Unemployed Emerging Adults

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Age-Related Slowing in Online Samples

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A Comparison of Six Sample Providers Regarding Online Privacy Benchmarks

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Coping with causal uncertainty through alcohol use

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Bridging the gap between eye tracking and crowdsourcing

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Sometimes more competent, but always less warm: Perceptions of biologically oriented mental-health clinicians

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Long-run learning in games of cooperation

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Multiple Facets of Problematic Anger Among Regular Smokers: Exploring Associations With Smoking Motives and Cessation Difficulties

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MTurk Crowdsourcing: A Viable Method for Rapid Discovery of Arabic Nicknames?

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Reprint of "Designing a brief measure of social anxiety: Psychometric support for a three-item version of the Interaction Anxiousness Scale (IAS-3)"

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Thought Acceleration Boosts Positive Mood Among Individuals with Minimal to Moderate Depressive Symptoms

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Feeling Good and Taking a Chance? Associations of Hypomania Risk with Cognitive and Behavioral Risk Taking

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Characteristics of Borderline Personality Disorder and Disgust Sensitivity

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Witnessing Disclosure of Depression: Gender and Attachment Avoidance Moderate Interpersonal Evaluations

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Does Stigma Against Smokers Really Motivate Cessation? A Moderated Mediation Model on the Effect of Anti-smoking Campaigns Promoting Smoker-Related Stigma on Cessation Intentions

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VARIATIONS IN RECRUITMENT YIELD, COSTS, SPEED AND PARTICIPANT DIVERSITY ACROSS INTERNET PLATFORMS IN A GLOBAL STUDY EXAMINING THE EFFICACY OF AN HIV/AIDS AND HIV TESTING ANIMATED AND LIVE-ACTION VIDEO AMONG ENGLISH- OR SPANISH-SPEAKING INTERNET OR SOCIAL MEDIA USERS.

Shao, W., Guan, W., Clark, M. A., Liu, T., Santelices, C., Cortés, D. E., & Merchant, R. C. (2015) · PubMed · Cited by 6 · see citing works

U.S. residential consumer product information: Validation of methods for post-stratification weighting of Amazon Mechanical Turk surveys

Lawrence Berkeley National Lab. (LBNL), B., Greenblatt, J., USDOE Office of Science (SC), Yang, H.-C., Desroches, L., Young, S., Beraki, B., Price, S., Pratt, S., Willem, H., et al. (2013) · doi:10.2172/1171750 · Cited by 6 · see citing works

An Exploration of Mechanical Turk as a Feasible Recruitment Platform for Cancer Survivors

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Pilot study to evaluate the effectiveness of a mobile-based therapy and educational app for children

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Cultural Differences in Playing Repeated Ultimatum Game Online with Virtual Humans

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Cheating on online assessment tests: prevalence and impact on validity

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Shared Sense of Purpose and Well-Being among Veterans and Non-Veterans

Lynn, B. M.-D. (2014) · NCSU Libraries Repository (North Carolina State University Libraries) · Cited by 4 · see citing works

U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys

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Participation in Micro-task Crowdsourcing Markets as Work and Leisure: The Impact of Motivation and Micro-time Structuring

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U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys

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Acculturation, Acculturative Stress, Social Status, and Well-Being among English Language Proficient Immigrants

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Using the Crowd to Generate Content for Scenario-Based Serious-GamesPreprint

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Effect of Internet Administered Mindfulness Training on Anxiety and Sleep Quality

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Understanding and managing the threat of common method bias: Detection, prevention and control

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An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise, and Its Effective Use

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Online panels in social science research: Expanding sampling methods beyond Mechanical Turk

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Customer service chatbots: Anthropomorphism and adoption

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Mental health during the COVID-19 pandemic: Effects of stay-at-home policies, social distancing behavior, and social resources

Marroquín, B. M., Vine, V., & Morgan, R. M. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113419 · Cited by 637 · see citing works

Crowdsourcing Consumer Research

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Demographics and Dynamics of Mechanical Turk Workers

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Comparing Amazon’s Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature

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Trust in a COVID-19 vaccine in the U.S.: A social-ecological perspective

Latkin, C. A., Dayton, L., Yi, G. T., Konstantopoulos, A. D., & Boodram, B. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.113684 · Cited by 383 · see citing works

The Use of Online Panel Data in Management Research: A Review and Recommendations

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Modelling the contribution of the Big Five personality traits, health anxiety, and COVID-19 psychological distress to generalised anxiety and depressive symptoms during the COVID-19 pandemic

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The Politically Motivated Reasoning Paradigm, Part 1: What Politically Motivated Reasoning Is and How to Measure It

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Mental distress among U.S. adults during the COVID-19 pandemic

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Exploring the structure of narcissism: Toward an integrated solution

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The Influence of Climate Fiction

Schneider-Mayerson, M. (2018) · Environmental Humanities · doi:10.1215/22011919-7156848 · Cited by 281 · see citing works

Lie for a Dime

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No Harm in Checking: Using Factual Manipulation Checks to Assess Attentiveness in Experiments

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Misinformation about COVID-19: evidence for differential latent profiles and a strong association with trust in science

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A self-report measure for the ICD-11 dimensional trait model proposal: The Personality Inventory for ICD-11.

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The use of crowdsourcing in addiction science research: Amazon Mechanical Turk.

Strickland, J. C., & Stoops, W. W. (2018) · Experimental and Clinical Psychopharmacology · doi:10.1037/pha0000235 · Cited by 249 · see citing works

Anthropomorphic response: Understanding interactions between humans and artificial intelligence agents

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Who Are the Turkers? A Characterization of MTurk Workers Using the Personality Assessment Inventory

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Comprehensive meta-analysis of resilience interventions

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Adaptive and Dark Personality in the COVID-19 Pandemic: Predicting Health-Behavior Endorsement and the Appeal of Public-Health Messages

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Crowdsourcing Samples in Cognitive Science

Stewart, N., Chandler, J., & Paolacci, G. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.06.007 · Cited by 216 · see citing works

Opioid use and stigma: The role of gender, language and precipitating events

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Tapped out or barely tapped? Recommendations for how to harness the vast and largely unused potential of the Mechanical Turk participant pool

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The COVID-19 anxiety syndrome scale: development and psychometric properties.

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Scientific Utopia III: Crowdsourcing Science

Uhlmann, E. L., Ebersole, C. R., Chartier, C. R., Errington, T. M., Kidwell, M. C., Lai, C. K., McCarthy, R. J., Riegelman, A., Silberzahn, R., & Nosek, B. A. (2019) · Perspectives on Psychological Science · doi:10.1177/1745691619850561 · Cited by 182 · see citing works

The Opportunities and Limitations of Using Mechanical Turk (MTURK) in Public Administration and Management Scholarship

Stritch, J. M., Pedersen, M. J., & Taggart, G. (2017) · International Public Management Journal · doi:10.1080/10967494.2016.1276493 · Cited by 181 · see citing works

Using online, crowdsourcing platforms for data collection in personality disorder research: the example of Amazon’s Mechanical Turk

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COVID-19 vaccine intentions in the United States, a social-ecological framework

Latkin, C. A., Dayton, L., Yi, G. T., Konstantopoulos, A. D., Park, J. N., Maulsby, C. H., & Kong, X. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.02.058 · Cited by 179 · see citing works

A Critical Appraisal of the Dark-Triad Literature and Suggestions for Moving Forward

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Similarities and Differences in Tobacco Control Research Findings From Convenience and Probability Samples

Jeong, M., Zhang, D., Morgan, J. C., Ross, J. C., Osman, A., Boynton, M. H., Sheldon, J. M., & Brewer, N. T. (2018) · Annals of Behavioral Medicine · doi:10.1093/abm/kay059 · Cited by 177 · see citing works

The quality of data collected online: An investigation of careless responding in a crowdsourced sample

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The prevalence of aphantasia (imagery weakness) in the general population

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Cyberchondria: examining relations with problematic internet use and metacognitive beliefs

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Common Concerns with MTurk as a Participant Pool: Evidence and SolutionsPreprint

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Identifying Predictors of Psychological Distress During COVID-19: A Machine Learning Approach

Prout, T. A., Zilcha‐Mano, S., Doorn, K. A., Békés, V., Christman-Cohen, I., Whistler, K., Kui, T., & Giuseppe, M. D. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.586202 · Cited by 154 · see citing works

Rethinking the link between cognitive sophistication and politically motivated reasoning.

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Lifetime traumatic stressors and adverse childhood experiences uniquely predict concurrent PTSD, complex PTSD, and dissociative subtype of PTSD symptoms whereas recent adult non-traumatic stressors do not: results from an online survey study

Frewen, P., Zhu, J., & Lanius, R. (2019) · European Journal of Psychotraumatology · doi:10.1080/20008198.2019.1606625 · Cited by 151 · see citing works

Uncovering the structure of agreeableness from self‐report measures

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Validation of the nine item ARFID screen ( NIAS ) subscales for distinguishing ARFID presentations and screening for ARFID

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Are Relational Inferences from Crowdsourced and Opt-in Samples Generalizable? Comparing Criminal Justice Attitudes in the GSS and Five Online Samples

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Trigger warning: Empirical evidence ahead

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Crowdsourcing Trauma: Psychopathology in a Trauma‐Exposed Sample Recruited via Mechanical Turk

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Workshop - Open sampling: Challenges in using Mturk and other crowdsourced samples?Preprint

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Mechanical Turk in Consumer Research

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