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Research in the Cloud

The book’s bibliography

References

Explore the research behind Research in the Cloud. Find a source by author, title, or topic, or browse the complete bibliography below.

274 sources 16 chapters A–Z by author

Showing all 274 references

A

16 sources
  • Adachi, P. J. C., & Willoughby, T. (2011). The effect of violent video games on aggression: Is it more than just the violence? Aggression and Violent Behavior, 16(1), 55-62.
  • Adelson, J. L., & McCoach, D. B. (2010). Measuring the mathematical attitudes of elementary students: The effects of a 4-point or 5-point Likert-type scale. Educational and Psychological Measurement, 70(5), 796-807. https://doi.org/10.1177/0013164410366694
  • Agley, J., Mumaw, C., & Johnson, B. (2024). Rationale and study checklist for ethical rejection of participants on crowdsourcing research platforms. Ethics & Human Research, 46(4), 38-46.
  • Alderotti, G., Rapallini, C., & Traverso, S. (2023). The Big Five personality traits and earnings: A meta-analysis. Journal of Economic Psychology, 94, 102570. https://doi.org/10.1080/00221325.2023.2279143
  • Allik, J., & McCrae, R. R. (2004). Toward a geography of personality traits: Patterns of profiles across 36 cultures. Journal of cross-cultural psychology, 35(1), 13-28.
  • Allen, E. J., Dechow, P. M., Pope, D. G., & Wu, G. (2016). Reference-dependent preferences: Evidence from marathon runners. Management Science, 63(6), 1657-1672. https://doi.org/10.1287/mnsc.2015.2417
  • American Psychological Association. (2020). Publication manual of the American Psychological Association 2020: The Official Guide to APA Style (7th ed.). American Psychological Association.
  • Anderson, C. A., & Bushman, B. J. (2001). Effects of Violent Video Games on Aggressive Behavior, Aggressive Cognition, Aggressive Affect, Physiological Arousal, and Prosocial Behavior: A Meta-Analytic Review of the Scientific Literature. Psychological Science, 12(5), 353-359. https://doi.org/10.1111/1467-9280.00366
  • Anderson, C. A., & Bushman, B. J. (2002). Human aggression. Annual Review of Psychology, 53, 27-51.
  • Anderson, C. A., Allen, J. J., Plante, C., Quigley-McBride, A., Lovett, A., & Rokkum, J. N. (2019). The MTurkification of social and personality psychology. Personality and Social Psychology Bulletin, 45(6), 842-850. https://doi.org/10.1177/0146167218798821
  • Anderson, E., & Durstine, J. L. (2019). Physical activity, exercise, and health: Quantifying the benefits. American Journal of Lifestyle Medicine, 13(5), 430-442.
  • Arechar, A. A., Gächter, S., & Molleman, L. (2018). Conducting interactive experiments online. Experimental Economics, 21(1), 99–131. https://doi.org/10.1007/s10683-017-9527-2
  • Arechar, A. A., Kraft-Todd, G. T., & Rand, D. G. (2017). Turking overtime: How participant characteristics and behavior vary over time and day on Amazon Mechanical Turk. Journal of the Economic Science Association, 3, 1–11. https://doi.org/10.1007/s40881-017-0035-0
  • Arndt, A. D., Ford, J. B., Babin, B. J., & Luong, V. (2022). Collecting samples from online services: How to use screeners to improve data quality. International Journal of Research in Marketing, 39(1), 117-133.
  • Ashton, M. C., & Lee, K. (2007). Empirical, theoretical, and practical advantages of the HEXACO model of personality structure. Personality and Social Psychology Review, 11(2), 150–166.
  • Awad, E., Dsouza, S., Shariff, A., Rahwan, I., & Bonnefon, J. F. (2020). Universals and variations in moral decisions made in 42 countries by 70,000 participants. Proceedings of the National Academy of Sciences, 117(5), 2332-2337.

B

17 sources
  • Bai, H. (2018). Evidence that a large amount of low quality responses on MTurk can be detected with repeated GPS coordinates. Retrieved from: https://www.maxhuibai.com/blog/evidence-that-responsesfrom-repeating-gps-are-random
  • Baker, R., Brick, J. M., Bates, N. A., Battaglia, M., Couper, M. P., Dever, J. A., ... & Tourangeau, R. (2013). Summary report of the AAPOR task force on non-probability sampling. Journal of survey statistics and methodology, 1(2), 90-143.
  • Bastien, C. H., Vallières, A., & Morin, C. M. (2001). Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep medicine, 2(4), 297-307.
  • Batson, C. D., Early, S., & Salvarani, G. (1997). Perspective taking: Imagining how another feels versus imaging how you would feel. Personality and Social Psychology Bulletin, 23(7), 751-758. https://doi.org/10.1177/0146167297237008
  • Batson, C. D., Lishner, D. A., Cook, J., & Sawyer, S. (2005). Similarity and nurturance: Two possible sources of empathy for strangers. Basic and Applied Social Psychology, 27(1), 15–25. https://doi.org/10.1207/s15324834basp2701_2
  • Benet-Martínez, V., & John, O. P. (1998). Los Cinco Grandes across cultures and ethnic groups: Multitrait-multimethod analyses of the Big Five in Spanish and English. Journal of personality and social psychology, 75(3), 729.
  • Benjamin Jr, L. T., & Simpson, J. A. (2009). The power of the situation: The impact of Milgram's obedience studies on personality and social psychology. American psychologist, 64(1), 12.
  • Benoit, K., Conway, D., Lauderdale, B. E., Laver, M., & Mikhaylov, S. (2016). Crowd-sourced text analysis: Reproducible and agile production of political data. American Political Science Review, 110(2), 278-295.
  • Bhattacharjee, Y. (2013). The mind of a con man. The New York Times. https://www.nytimes.com/2013/04/28/magazine/diederik-stapels-audacious-academic-fraud.html
  • Bogg, T., & Roberts, B. W. (2013). The case for conscientiousness: Evidence and implications for a personality trait marker of health and longevity. Annals of Behavioral Medicine, 45(3), 278-288.
  • Bogle, K. A. (2008). Hooking up: Sex, dating, and relationships on campus. New York University Press.
  • Bohannon J. Mechanical Turk upends social sciences. Science. 2016; 352 (6291): 1263–1264. pmid:27284175
  • Bolger, N., & Laurenceau, J. P. (2013). Intensive longitudinal methods: An introduction to diary and experience sampling research. Guilford press.
  • Boynton, M. H., & Richman, L. S. (2014). An online daily diary study of alcohol use using Amazon's Mechanical Turk: Daily diary study of alcohol using MTurk. Drug and Alcohol Review, 33(4), 456–461. https://doi.org/10.1111/dar.12163
  • Brown, W. (1910). Some experimental results in the correlation of mental abilities. British Journal of Psychology, 3, 296–322
  • Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data?. Perspectives on Psychological Science, 6(1), 3-5. https://doi.org/10.1177/1745691610393980
  • Buhrmester, M. D., Talaifar, S., & Gosling, S. D. (2018). An evaluation of Amazon's Mechanical Turk, its rapid rise, and its effective use. Perspectives on psychological science, 13(2), 149-154.

C

25 sources
  • Campbell, D. S., & Reiman, A.-K. (2022). Has social psychology lost touch with reality? Exploring public perceptions of the realism and consequentiality of social psychological research. Journal of Experimental Social Psychology, 98, 104255. https://doi.org/10.1016/j.jesp.2021.104255
  • Casey, L. S., Chandler, J., Levine, A. S., Proctor, A., & Strolovitch, D. Z. (2017). Intertemporal differences among MTurk workers: Time-based sample variations and implications for online data collection. SAGE Open, 7,1–15. https://doi.org/10.1177%2F2158244017712774
  • Cattell, R. B., Eber, H. W., & Tatsuoka, M. M. (1970). Handbook for the Sixteen Personality Factor Questionnaire {16PF). Champaign, IL: IPAT
  • Chan, J. C. (1991). Response-Order Effects in Likert-Type Scales. Educational and Psychological Measurement, 51(3), 531-540. https://doi.org/10.1177/0013164491513002
  • Chandler, J., Litman, L., & Robinson, J. (2021). Maximum retention rates in longitudinal studies on Mechanical Turk. Unpublished manuscript.
  • Chandler, J. J., & Paolacci, G. (2017). Lie for a dime: When most prescreening responses are honest but most study participants are impostors. Social Psychological and Personality Science, 8(5), 500-508. https://doi.org/10.1177/1948550617698203
  • Chandler, J., Rosenzweig, C., Moss, A. J., Robinson, J., & Litman, L. (2019). Online panels in social science research: Expanding sampling methods beyond Mechanical Turk. Behavior research methods, 51, 2022-2038.
  • Chandler, J., Sisso, I., & Shapiro, D. (2020). Participant carelessness and fraud: Consequences for clinical research and potential solutions. Journal of Abnormal Psychology, 129(1), 49. https://doi.org/10.1037/abn0000479
  • Cherry, G., Rocke, J., Chu, M., Liu, J., Lechner, M., Lund, V. J., & Kumar, B. N. (2020). Loss of smell and taste: a new marker of COVID-19? Tracking reduced sense of smell during the coronavirus pandemic using search trends. Expert Review of Anti-Infective Therapy, 18(11), 1165-1170.
  • Chmielewski, M., & Kucker, S. C. (2020). An MTurk crisis? Shifts in data quality and the impact on study results. Social Psychological and Personality Science, 11(4), 464-473.
  • Chopra, F., & Haaland, I. (2023). Conducting qualitative interviews with AI. http://dx.doi.org/10.2139/ssrn.4583756
  • Chyung, S. Y., Kennedy, M., & Campbell, I. (2018). Evidence‐based survey design: The use of ascending or descending order of Likert‐type response options. Performance Improvement, 57(9), 9-16. https://doi.org/10.1002/pfi.21800
  • Cimpian, J. R., & Timmer, J. D. (2020). Mischievous responders and sexual minority youth survey data: A brief history, recent methodological advances, and implications for research and practice. Archives of Sexual Behavior, 49(4), 1097-1102. https://doi.org/10.1007/s10508-020-01661-7
  • Clifford, S., Jewell, R. M., & Waggoner, P. D. (2015). Are samples drawn from Mechanical Turk valid for research on political ideology?. Research & Politics, 2(4), 2053168015622072.
  • Clifton, J. D., & Kerry, N. (2023). Belief in a dangerous world does not explain substantial variance in political attitudes, but other world beliefs do. Social Psychological and Personality Science, 14(5), 515-525.
  • Cohen, J. (1992). Statistical power analysis. Current Directions in Psychological Science, 1(3), 98-101. https://doi.org/10.1111/1467-8721.ep10768783
  • Cohn, N. (2024, September 27). The problem with a crowd of new online polls. The New York Times. https://www.nytimes.com/2024/09/27/upshot/online-polls-election.html
  • Converse, B. A., & Epley, N. (2007). The anchoring effect of God: Religious priming and attitude change. Unpublished manuscript, University of Chicago.
  • Coppock, A., Leeper, T. J., & Mullinix, K. J. (2018). Generalizability of heterogeneous treatment effect estimates across samples. Proceedings of the National Academy of Sciences, 115(49), 12441-12446.
  • Costa, P. T., & McCrae, R. R. (2008). The revised neo personality inventory (neo-pi-r). The SAGE handbook of personality theory and assessment, 2(2), 179-198.
  • Costello, T. H., Pennycook, G., & Rand, D. G. (2025, March 7). Just the facts: How dialogues with AI reduce conspiracy beliefs. https://doi.org/10.31234/osf.io/h7n8u_v2
  • Couper M. P., Traugott M., Lamias M. (2001). Web survey design and administration. Public Opinion Quarterly, 65, 230–253. https://doi.org/10.1086/322199
  • Couper, M. P., Tourangeau, R., Conrad, F. G., & Zhang, C. (2013). The design of grids in web surveys. Social science computer review, 31(3), 322-345.
  • Cromer, L. D., & Newman, E. (2011). Research ethics in victimization studies: Widening the lens. Violence against Women, 17(12), 1489-1508. https://doi.org/10.1177/1077801211436365
  • Curry, L., & Nunez-Smith, M. (2015). Mixed methods in health sciences research: A practical primer (Vol. 1). Sage publications.

D

10 sources
  • Damer, E. (2019). Stop using MTurk for research. Prolific Blog. https://blog.prolific.co/stop-using-mturk-for-research/
  • Davis, M. H., Conklin, L., Smith, A., & Luce, C. (1996). Effect of perspective taking on the cognitive representation of persons: a merging of self and other. Journal of personality and social psychology, 70(4), 713.
  • Day, J. C., & Newburger, E. C. (2002). The Big Payoff: Educational Attainment and Synthetic Estimates of Work-Life Earnings. Special Studies, Current Population Reports. U.S. Census Bureau.
  • Debell, M., Wilson, C., Jackman, S., & Figueroa, L. (2021). Optimal response formats for online surveys: Branch, grid, or single item?. Journal of Survey Statistics and Methodology, 9(1), 1-24. https://doi.org/10.1093/jssam/smz039
  • Dennis, S. A., Goodson, B. M., & Pearson, C. A. (2020). Online worker fraud and evolving threats to the integrity of MTurk data: A discussion of virtual private servers and the limitations of IP-based screening procedures. Behavioral Research in Accounting, 32(1), 119-134. https://doi.org/10.2308/bria-18-044
  • DeSimone, J. A., Harms, P. D., & DeSimone, A. J. (2015). Best practice recommendations for data screening. Journal of Organizational Behavior, 36(2), 171-181.
  • Donders, A. R. T., Van Der Heijden, G. J., Stijnen, T., & Moons, K. G. (2006). A gentle introduction to imputation of missing values. Journal of Clinical Epidemiology, 59(10), 1087-1091. https://doi.org/10.1016/j.jclinepi.2006.01.014
  • Donnellan, M. B., & Rakhshani, A. (2023). How does the number of response options impact the psychometric properties of the Rosenberg Self-Esteem Scale?. Assessment, 30(6), 1737-1749.
  • Douglas, B. D., McGorray, E. L., & Ewell, P. J. (2021). Some researchers wear yellow pants, but even fewer participants read consent forms: Exploring and improving consent form reading in human subjects research. Psychological methods, 26(1), 61.
  • Dubow, E. F., Boxer, P., & Huesmann, L. R. (2009). Long-term effects of parents' education on children's educational and occupational success: Mediation by family interactions, child aggression, and teenage aspirations. Merrill-Palmer quarterly (Wayne State University. Press), 55(3), 224.

E

2 sources
  • Edwards, S. J. (2005). Research participation and the right to withdraw. Bioethics, 19(2), 112-130.
  • Epley, N., & Gilovich, T. (2001). Putting adjustment back in the anchoring and adjustment heuristic: Differential processing of self-generated and experimenter-provided anchors. Psychological Science, 12(5), 391-396. https://doi.org/10.1111/1467-9280.00372

F

6 sources
  • Fan, X., Miller, B. C., Park, K. E., Winward, B. W., Christensen, M., Grotevant, H. D., & Tai, R. H. (2006). An exploratory study about inaccuracy and invalidity in adolescent self-report surveys. Field methods, 18(3), 223-244.
  • Finkelhor, D., Ormrod, R. K., & Turner, H. A. (2007). Poly-victimization: A neglected component in child victimization. Child Abuse & Neglect, 31(1), 7-26.
  • Fiske, D. W. (1949). Consistency of the factorial structures of personality ratings from different sources. Journal of Abnormal and Social Psychology, 44 (3), 329-344. https://doi.org/10.1037/h0057198
  • Fordsham, N., Moss, A. J., Krumholtz, S., Roggina, T., Jr, Robinson, J., & Litman, L. (2019). Variation among Mechanical Turk workers across time of day presents an opportunity and a challenge for research. PsyArXiv. https://doi.org/10.31234/osf.io/p8bns
  • Fowler, C., Jiao, J., & Pitts, M. (2023). Frustration and ennui among Amazon MTurk workers. Behavior Research Methods, 55(6), 3009-3025. https://doi.org/10.1177/10731911221119532
  • Friedman, L. W., & Friedman, H. H. (1994). A comparison of vertical and horizontal rating scales. The Mid-Atlantic Journal of Business, 30(1), 107. https://doi.org/10.1177/0894439319834296

G

20 sources
  • Galesic, M., Tourangeau, R., Couper, M. P., & Conrad, F. G. (2007, March). Using change to improve navigation in grid questions. In German Online Research Conference, Leipzig, Germany.
  • Galinsky, A. D., & Moskowitz, G. B. (2000). Perspective-taking: Decreasing stereotype expression, stereotype accessibility, and in-group favoritism. Journal of Personality and Social Psychology, 78(4), 708-724.
  • Gallo, J., & Gran-Ruaz, S. (2021, October 1). Racial Trauma Scale: Creative interview strategies employed in the development of a new clinical tool for measuring race-based stress and trauma. Innovations in Online Research, Virtual. https://www.youtube.com/watch?v=hKCK_dWfUfI&t=1568s
  • Garbarski, D., Schaeffer, N.C. & Dykema, J. (2019). The Effects of features of survey measurement on self-rated health: Response option order and scale orientation. Applied Research Quality Life, 14, 545–560. https://doi.org/10.1007/s11482-018-9628-x
  • Garbinsky, E. N., Gladstone, J. J., Nikolova, H., & Olson, J. G. (2020). Love, lies, and money: Financial infidelity in romantic relationships. Journal of Consumer Research, 47(1), 1-24. https://doi.org/10.1093/jcr/ucz052
  • Gautam, R., Kerstein, M., Moss, A. J., & Litman, L. (2018). Understanding geolocations and their connection to data quality. [blog post]. Retrieved from: https://www.cloudresearch.com/resources/blog/understanding-geolocations-and-their-connection-to-data-quality/
  • George, D., & Mallery, P. (2003). SPSS for Windows Step by Step: A Simple Guide and Reference (4th ed.). Boston: Allyn & Bacon.
  • Gharpure, R., Hunter, C. M., Schnall, A. H., et al. (2020). Knowledge and practices regarding safe household cleaning and disinfection for COVID-19 prevention — United States, May 2020. MMWR. Morbidity and Mortality Weekly Report, 69(23), 705–709. https://doi.org/10.15585/mmwr.mm6923e2
  • Gilbert, S. J. (1981). Another look at the Milgram obedience studies: The role of the gradated series of shocks. Personality and Social Psychology Bulletin, 7(4), 690-695.
  • Gleaves, D. H., Rucklidge, J. J., & Follette, V. M. (2007). What are we teaching our students by not asking about abuse? American Psychologist, 62(4), 326–327. https://doi.org/10.1037/0003-066X62.4.326
  • Goldberg, L. R. (1981). Language and individual differences: The search for universals in personality lexicons. Review of personality and social psychology, 2(1), 141-165.
  • Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37 (6), 504-528. https://doi.org/10.1016/S0092-6566(03)00046-1
  • Graham, J., Haidt, J., Koleva, S., Motyl, M., Iyer, R., Wojcik, S. P., & Ditto, P. H. (2013). Moral foundations theory: The pragmatic validity of moral pluralism. Advances in Experimental Social Psychology, 47, 55-130.
  • Graham, J., Nosek, B. A., Haidt, J., Iyer, R., Spassena, K., & Ditto, P. H. (2008). Moral foundations questionnaire. Journal of Personality and Social Psychology. https://doi.org/10.1037/t05651-000
  • Grandmont, J., Graff, B., Goetzinger, L., & Dorbecker, K. (2010, May). Grappling with grids: How does question format affect data quality and respondent engagement. In Annual meeting of the American Association for Public Opinion Research. Retrieved from http://www.amstat.org/sections/SRMS/proceedings/y2010/Files/400116.pdf.
  • Gray, K., Schein, C., & Ward, A. F. (2014). The myth of harmless wrongs in moral cognition: Automatic dyadic completion from sin to suffering. Journal of Experimental Psychology: General, 143(4), 1600. http://dx.doi.org/10.1037/a0036149
  • Greitemeyer, T., & Mügge, D. O. (2014). Video games do affect social outcomes: A meta-analytic review of the effects of violent and prosocial video game play. Personality and Social Psychology Bulletin, 40(5), 578-589.
  • Griffin, M. G., Resick, P. A., Waldrop, A. E., & Mechanic, M. B. (2003). Participation in trauma research: Is there evidence of harm? Journal of Traumatic Stress, 16, 221-227.
  • Griggs, R. A. (2017). Milgram's obedience study: A contentious classic reinterpreted. Teaching of Psychology, 44(1), 32-37.
  • Gummer, T., Roßmann, J., & Silber, H. (2021). Using instructed response items as attention checks in web surveys: Properties and implementation. Sociological Methods & Research, 50(1), 238–264. https://doi.org/10.1177/0049124118769083

H

18 sources
  • Hall, M. P., Lewis, Jr., N. A., Chandler, J., & Litman, L. (2020). Conducting longitudinal research on Amazon Mechanical Turk. In L. Litman and J. Robinson (Eds.) Conducting Online Research on Amazon Mechanical Turk and Beyond (198-216). Sage Academic Publishing. Thousand Oaks, CA.
  • Harari, G. M., Stachl, C., Müller, S. R., & Gosling, S. D. (2021). Mobile sensing for studying personality dynamics in daily life. In The Handbook of Personality Dynamics and Processes (pp. 763-790). Academic Press.
  • Hartman, R., Robinson, J., Moss, A., & Litman, L. (2023, March 09). How Do Black Americans Really Feel about the Phrase "It's ok to be White"? CloudResearch Blog. https://www.cloudresearch.com/resources/blog/its-ok-to-be-white-rasmussen-poll/
  • Hartman, R., Moss, A. J., Rabinowitz, I., Bahn, N., Rosenzweig, C., Robinson, J., & Litman, L. (2023). Do you know the Wooly Bully? Testing era-based knowledge to verify participant age online. Behavior research methods, 55(7), 3313-3325.
  • Hartman, R., Moss, A. J., Jaffe, S. N., Rosenzweig, C., Litman, L., & Robinson, J. (2023). Introducing Connect by CloudResearch: Advancing online participant recruitment in the digital age. PsyArXiv.
  • Hauser, D. J., Ellsworth, P. C., & Gonzalez, R. (2018). Are manipulation checks necessary?. Frontiers in psychology, 9, 998.
  • Hauser, D. J., & Schwarz, N. (2015). It's a trap! Instructional manipulation checks prompt systematic thinking on "tricky" tasks. Sage Open, 5(2), 2158244015584617.
  • Hauser, D. J., & Schwarz, N. (2016). Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants. Behavior Research Methods, 48, 400-407. https://doi.org/10.3758/s13428-015-0578-z. PMID: 25761395.
  • Hauser, D. J., Moss, A. J., Rosenzweig, C., Jaffe, S. N., Robinson, J., & Litman, L. (2023). Evaluating CloudResearch's Approved Group as a solution for problematic data quality on MTurk. Behavior Research Methods, 55(8), 3953-3964.
  • Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford Publications.
  • Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world?. Behavioral and brain sciences, 33(2-3), 61-83.
  • Holliday, D. E., Iyengar, S., Lelkes, Y., & Westwood, S. J. (2024). Uncommon and nonpartisan: Antidemocratic attitudes in the American public. Proceedings of the National Academy of Sciences, 121(13), e2313013121.
  • Hu, J. (2020). Horizontal or vertical? The effects of visual orientation of categorical response options on survey responses in web surveys. Social Science Computer Review, 38(6), 779-792.
  • Huang, J. L., Curran, P. G., Keeney, J., Poposki, E. M., & DeShon, R. P. (2012). Detecting and deterring insufficient effort responding to surveys. Journal of Business and Psychology, 27(1), 99–114. https://doi.org/10.1007/s10869-011-9231-8
  • Huang, J. L., Bowling, N. A., Liu, M., & Li, Y. (2015). Detecting insufficient effort responding with an infrequency scale: Evaluating validity and participant reactions. Journal of Business and Psychology, 30, 299-311.
  • Huang, J. L., Liu, M., & Bowling, N. A. (2015). Insufficient effort responding: Examining an insidious confound in survey data. Journal of Applied Psychology, 100(3), 828–845. https://doi.org/10.1037/a0038510
  • Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018). No more FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751-768. https://doi.org/10.1521/jscp.2018.37.10.751
  • Hyde, A. L., Conroy, D. E., Pincus, A. L., & Ram, N. (2011). Unpacking the feel-good effect of free-time physical activity: Between-and within-person associations with pleasant–activated feeling states. Journal of Sport and Exercise Psychology, 33(6), 884-902.

I

1 sources
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J

7 sources
  • Jackson, D. N. (1976). The appraisal of personal reliability. Paper presented at the meetings of the Society of Multivariate Experimental Psychology, University Park, PA.
  • Jaffe, S. N., Moss, A. J., Rosenzweig, C., Gautam, R., Robinson, J., & Litman, L. (2025). The bots ruining social science aren't bots at all. Manuscript under review.
  • John, O. P., & Srivastava, S. (1999). The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (2nd ed., pp. 102-138). Guilford Press.
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K

20 sources
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