| Journal Publications | Book Chapters | Technical Reports & Manuals |
| Conference Presentations | Invited Talks | Workshops |

Journal Publications  (Google Scholar) 

  1. Yang, J., Liu, Y., Stackhouse, M., & Wang, W. (2020). Forgiveness and Attribution: When Abusive Supervision Enhances Performance. Journal of Managerial Psychology. https://doi.org/10.1108/JMP-04-2019-0239 
  2. Yuksel, M., Wang, W., Chaudhry, S., Turgut, D., & Kapucu, D. (2019). Challenges and Opportunities in Utilizing IoT-Based Stress Maps as a Community Mood Detector. The 2019 IEEE International Symposium on Technologies for Homeland Security Proceedings. https://doi.org/10.1109/HST47167.2019.9032995
  3. *Young, H., *Glerum, D., Wang, W., & Joseph, D. (2018). Who are the Most Engaged at Work? A Meta-Analysis of Personality and Employee Engagement. Journal of Organizational Behavior, 39, 1330–1346. https://doi.org/10.1002/job.2303
  4. Albarracin, D., Wang, W., McCulloch, K. C. (2018). Action Dominance: The performance effects of multiple action demands and the benefits of an inaction focus. Personality and Social Psychology Bulletin, 44, 996–1007. https://doi.org/10.1177/0146167218756031
  5. Peng, P., Barnes, M., Wang, C., Wang, W., Li, S., Swanson, L., Dardick, W., & Tao, S. (2018). A Meta-Analysis on the Relation between Reading and Working Memory. Psychological Bulletin, 144(1), 48–76. http://dx.doi.org/10.1037/bul0000124
  6. *LaPalme, M., Tay, L., Wang, W. (2018). A Within-person Examination of the Ideal-Point Response Process. Psychological Assessment, 30(5), 567–581. https://doi.org/10.1037/pas0000499
  7. Wang, W., Lee, P., Joo, S-H., Stark, S., & Louden, R. (2016). MCMC Z-G: An IRT Computer Program for Forced-Choice Noncognitive Measurement. Applied Psychological Measurement, 40, 551–553. https://doi.org/10.1177/0146621616663682
  8. Wang, W., Hernandez, I., Newman, D. A., He, J., & Bian, J. (2016). Twitter Analysis: Studying U.S. Weekly Trends in Work Stress and Emotion. Applied Psychology: An International Review, 65(2), 355–378. https://doi.org/10.1111/apps.12065
  9. Wang, W., Drasgow, F., & Liu, L. (2016). Classification accuracy of mixed format tests: A bi-factor item response theory approach. Frontiers in Psychology: Quantitative Psychology and Measurement. https://doi.org/10.3389/fpsyg.2016.00270
  10. Wang, W., Newman, D. A., & Dipboye, R. L. (2016). Social network contagion in the job satisfaction-intention-turnover model. Academy of Management Proceedings. https://doi.org/10.5465/ambpp.2016.82
    • Awarded the Best Convention Paper for the Academy of Management HR Division
  11. *LaPalme, M. L., Wang, W., Joseph, D. L, Saklofske, D., & Yan, G-G. (2016). Measurement equivalence of the Wong and Law Emotional Intelligence Scale across cultures: An item response theory approach. Personality and Individual Differences, 90, 190–198. https://doi.org/10.1016/j.paid.2015.10.045
  12. Wang, W., & He, J. (2015). Smartphones: A game changer for psychological research. Journal of Ergonomics, 5(2). https://doi.org/10.4172/2165-7556.1000e136
  13. Jebb, A.T., Tay, L., Wang, W., & Huang, Q. (2015). Time series analysis for psychological research: examining and forecasting change. Frontiers in Psychology: Quantitative Psychology and Measurement. https://doi.org/10.3389/fpsyg.2015.00727
  14. Wang, W., de la Torre, J., & Drasgow, F. (2014). MCMC GGUM: A New Computer Program for Estimating Unfolding IRT Models. Applied Psychological Measurement. https://doi.org/10.1177/0146621614540514
  15. Wang, W., Neuman, E. J., & Newman, D. A. (2014). Statistical power of the social network autocorrelation model. Social Networks, 38, 88-99. https://doi.org/10.1016/j.socnet.2014.03.004
  16. Egli, J., & Wang, W. (2014). Factors that fuel small group growth. Christian Education Journal, 11, 134–151.  https://doi.org/10.1177/073989131401100111
  17. Wang, W., Tay, L., & Drasgow, F. (2013). Detecting differential item functioning of polytomous items for an ideal point response process. Applied Psychological Measurement, 37, 316–335. https://doi.org/10.1177/0146621613476156
  18. Tadmor, C. T., Hong, Y-Y, Chao, M., Wiruchnipawan, F., & Wang, W. (2012). Multicultural experiences reduce intergroup bias through epistemic unfreezing. Journal of Personality and Social Psychology. 103, 750–772.  https://doi.org/10.1037/a0029719
  19. Hepler, J., Wang, W., & Albarracin, D. (2012). Motivating exercise: The interactive effect of general action goals and past behavior on physical activity. Motivation and Emotion, 36, 365–370. https://doi.org/10.1007/s11031-011-9267-0
  20. Albarracin, J., Wang, W., & Albarracin, D. (2012). Are Confident Partisans Disloyal? The Role of Defensive Confidence in Party Defection. Journal of Applied Social Psychology. 42(7), 1576–1598. https://doi.org/10.1111/j.1559-1816.2012.00896.x
  21. Albarracin, D., Wang, W., & Leeper, J. (2009). Immediate increase in food intake following exercise messages. Obesity, 17, 1451–1452. https://doi.org/10.1038/oby.2009.16
  22. Wang, W., & Liu, L. (2006). Optimistic bias toward AID/HIV among Chinese university students. Psychological Development and Education (China), 22, 47-51. http://www.devpsy.com.cn/CN/Y2006/V22/I1/47

Book Chapters

  1. Newman, D. A., & Wang, W. (2019). Social network effects: Computational modeling of network contagion and climate emergence. In S. E. Humphrey & J. M. LeBreton (Eds.), The handbook of multilevel theory, measurement, and analysis (p. 541–560). American Psychological Association. https://doi.org/10.1037/0000115-024
  2. Li, W. D., Ilies, R., & Wang, W. (2018). Behavioral genetics and leadership research. In Schyns, B., Hall, R., & Neves, P. (Eds.), Handbook of Methods in Leadership Research. (p. 127–145). Edward Elgar Publishing. https://doi.org/10.4337/9781785367281.00013
  3. Huber, M., Mafi, S., & Wang, W. (2017). Building Positive Collective Mindsets with the “What We Are Best at” Group Intervention. In Koonce, R. (Ed.) Developing Leaders for Positive Organizing (p. 69-80). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78714-240-420171006
  4. Albarracin, J., Wang, W., & Albarracin, D. (2012). Do confident people behave differently?: the role of defensive confidence on the political behaviors of party defection, attention to politics, and participation. In Aldrich, J., & McGraw, K. M. (Eds.), The American National Election Studies Book of Ideas. University of Princeton Press.
  5. Albarracin, D., Wang, W., Li, H., & Noguchi, K. (2008). Structure of attitudes: Judgments, memory, and implications for change. In W. Crano, & R. Prislin, (Eds.), Attitudes and persuasion. Frontiers of Social Psychology. Psychology Press.

Technical Reports & Manuals

  1. Wang, W., Lee, P., Joo, S-H., Stark, S., & Louden, R. (2016). MCMC Z-G IRT Model Computer Program User’s Guide (Mac OS® Version 1.1). University of Central Florida: Orlando, FL.
  2. Wang, W., Lee, P., Joo, S-H., Stark, S., & Louden, R. (2016). MCMC Z-G IRT Model Computer Program User’s Guide (Windows® Version 1.1). University of Central Florida: Orlando, FL.
  3. Wang, W., de la Torre, J., Drasgow, F., *Meade, T., & *Louden, R. (2014). MCMC GGUM v1.2 User’s Guide. University of Central Florida: Orlando, FL.
  4. Wang, W., & Drasgow, F. (2012). A Markov Chain Monte Carlo Approach to Item Factor Analysis, For Mixed Format Tests and Subscore Estimation. Report to College Board.

Conference Presentations

  1. Wang, W. Li, J., Kobayashi, V., Yang, J., & Li, J. (2021, April 15–17). Comparative Sentiment Analysis of Online Employee Reviews in All Industry Sectors [Post session]. The 36th Annual conference of the Society for Industrial and Organizational Psychology, New Orleans, LA.
  2. Wang, W., Xu, S., Martinez, C. (2021, March 17–20). Assessing Personality by Eye-Tracking Metrics: A Meta-Analytical Review [Conference presentation]. 2021 Society for Personality Assessment Convention & Workshops. (Conference held virtually)
  3. Wang, W. (2020, August). Psychometric Network Analysis of Job Attitudes and Behaviors. (Virtual) International Meeting of the Psychometric Society 2020.
  4. Wang, W. (2020, April). Towards Automated and Unobtrusive Measurement of Emotions. In K. McMahon (chair) and L-Q Yang (Co-Chair), Tell us how you really feel: Alternative Methods for Measuring Workplace Affect [IGNITE Session]. The 35th Annual conference of the Society for Industrial and Organizational Psychology, Austin, TX. (Conference canceled)
  5. Nguyen, A., Yang, L-Q., Wang, Wei., & Huang, P-H. (2019 November). Is Your Diary “Reliable”?: A Review of Current Measurement Practices in ESM Research. Poster presented on The Work, Stress and Health (WSH) conference (organized biennially by APA, the National Institute for Occupational Safety and Health, and the Society for Occupational Health Psychology), Philadelphia, PA.
  6. Yuksel, M., Wang, W., Chaudhry, S., Turgut, D., & Kapucu, D. (2019, November). Challenges and Opportunities in Utilizing IoT-Based Stress Maps as a Community Mood Detector. 2019 IEEE International Symposium on Technologies for Homeland Security, Woburn, MA.
  7. Yang, L-Q., Wang, Wei., Huang, P-H., & Nguyen, A. (2019, August). Is Your Diary “Reliable”?: Computing Level-Specific Reliability in Organizational Experience Sampling Research. The 79th Annual Meeting of the Academy of the Management, Boston, MA.
  8. DeChurch, L. A., Wang, W., Harris, A.M., & Contractor, N. S. (2018, July). Mapping the Modern Science of Teams. Paper presented at the 13th Interdisciplinary Network for Group Research (INGRoup) Annual Meeting, Washington, DC.
  9. Huber, M., & Wang, W. (2018). Keeping our Talent: Predicting Life Satisfaction, Job Satisfaction, and Retention for Accounting Professionals. The AAA 2018 Ohio Region Meeting. Cleveland (Warrensville Heights), OH
  10. *Peng, X., *Young, H., & Wang, W. (2018). Big Five Personality Measurement Equivalence across Intelligence: A MIMIC Approach. The 33nd Annual Conference of the Society for Industrial and Organizational Psychology. Chicago, IL.
  11. Wang, W. (Symposium Chair), Murase, T., & Kluth, T. A. (2017). Social Network Analysis: Advances in Methodology, Theory, and Application. The 32nd Annual Conference of the Society for Industrial and Organizational Psychology. Orlando, FL.
  12. Wang, W., Newman, D. A., Dipboye, R. (2017). The Effect of Network Types on Job Satisfaction and Turnover. The 32nd Annual Conference of the Society for Industrial and Organizational Psychology. Orlando, FL.
  13. Kluth, T. A., W., & Tian, T. (2017). Engineering Team Performance: In-Group Bonding Capital vs. Out-Group Bridging Capital. The 32nd Annual Conference of the Society for Industrial and Organizational Psychology. Orlando, FL.
  14. Young, H., Glerum, D., Wang, W., & Joseph, D. L. (2017). Leadership and Subordinate Engagement: A Meta-Analytic Review. The 32nd Annual Conference of the Society for Industrial and Organizational Psychology. Orlando, FL.
  15. Peng, X., W., Stillwell, D., & Kosinski, M. (2017). Facebook User Personality Measurement Equivalence: A Same-Language Difference-Culture Case. The 32nd Annual Conference of the Society for Industrial and Organizational Psychology. Orlando, FL.
  16. Cao, M., Carter, N. T., Mead, A. D., Scherbaum, C. A., & Wang, W. (2017). Practical Guidance for Developing and Implementing Ideal Point. Panel Discussion presented at the 32nd Annual Conference of the Society for Industrial and Organizational Psychology. Orlando, FL.
  17. Wang, W., Newman, D. A. (August 2016). Social Network Contagion in the Job Satisfaction-Intention-Turnover Model. The 76th Annual Meeting of the Academy of Management. Anaheim, CA.
  18. Wang, W. (Symposium Chair) & Boyd, R. (Co-Chair). (2016). Making Big Data Smart: Challenges in Measurement, Analysis, and Validity. The 31st Annual Conference of the Society for Industrial and Organizational Psychology, Anaheim, CA.
  19. Wang, W., Hernandez, I., Newman, D. A., He, J. & Bian, J. (2016). Twitter Analysis: U.S. Weekly Trends in Work Stress and Emotion. The 31st Annual Conference of the Society for Industrial and Organizational Psychology, Anaheim, CA.
  20. *Kluth, T. A., Wang, W., Sydell, E. J. & Mracek, D. L. (2016). Predicting Job Performance from Text Responses: A Big Data Approach. The 31st Annual Conference of the Society for Industrial and Organizational Psychology, Anaheim, CA.
  21. *Young, H., *Glerum, D., Wang, W., & Joseph, D. (2016). Positive and Proactive: Relative Importance of Personality for Predicting Engagement. The 31st Annual Conference of the Society for Industrial and Organizational Psychology, Anaheim, CA.
  22. *LaPalme, M., Wang, W., & Tay, L. (2016). Within-person Evidence and Boundaries of Ideal Responding. The 31st Annual Conference of the Society for Industrial and Organizational Psychology, Anaheim, CA.
  23. Wang, W., *Zeman, B., Paulson, D., & *Shah, M. (2015). Organizational well-being and retirement health: the moderation effect of optimism. The 4th World Congress on Positive Psychology. Lake Buena Vista, FL.
  24. Wang, W., *Zeman, B., Bian, J., & He, J. (2015). Happiness on Twitter: Are emotions contagious across geographic boundaries? The 4th World Congress on Positive Psychology. Lake Buena Vista, FL.
  25. Huber, M., & Wang, W. (2015). Meaning at Work: Expertise, Happiness, Job-Satisfaction and Retention for Employees in the Accounting Profession. The 4th World Congress on Positive Psychology. Lake Buena Vista, FL.
  26. Wang, W. (Symposium Chair), & Carter, T. N. (Co-Chair). (2015). Latest Advances in Ideal-Point IRT Models for Non-cognitive Measurement: Theories and Methods. The 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
  27. Williamson, L. R. (Co-chair), *LaPalme, L. M. (Symposium Co-chair), Carter, T. N. (Symposium Chair), & Wang, W. (Symposium Co-Chair). (2015). Adventures in Unfolding Measurement Modeling: Applications to Important Work-Related Constructs. The 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
  28. Wang, W., de la Torre, J, & Drasgow, F. (2015). Estimation Recovery under Bifactor Ideal-Point Data through MCM Method. The 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
  29. *Young, H., *Glerum, D., Wang, W., & Joseph, D. (2015). Who is the Most Engaged at Work? A Meta-Analytic Review. The 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
  30. Wang, W., *Kluth, T., Newman, D. A., & Neuman, E. (2015). Impact of Randomly Missing Data on Social Network Autocorrelation Models. The 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
  31. *LaPalme, M., & Wang, W. (2015). DIF Detection for Emotional Intelligence Using MCMC GGUM. The 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
  32. *Glerum, D. R. & Wang, W. (2015). Engaged “to a point”: Comparing Dominance and Ideal-Point IRT Models. The 30th Annual Conference of the Society for Industrial and Organizational Psychology, Philadelphia, PA.
  33. Wang, W., Drasgow, F., & de la Torre, J. (2014). Improving Differential Item Functioning (DIF) Detection in Personality Measurement. The 29th Annual Conference for the Society for Industrial and Organizational Psychology, Honolulu, HI.
  34. Wang, W., Neuman, E. J., & Newman, D.A. (2014). Unpacking the Power of Detecting Social Network Effects. The 29th Annual Conference for the Society for Industrial and Organizational Psychology, Honolulu, HI.
  35. Wang, W., *Tindall, M. J., Smith-Jentsch, K. A., & *Wiese, C. W. (2014). Beyond Cognitive Ability: Personality and Situational Judgment in Exercises. The 29th Annual Conference for the Society for Industrial and Organizational Psychology, Honolulu, HI.
  36. Tay, L., Wang, W., & Huang, Q. (2014). An Introduction to ARIMA Time Series Analysis. The 29th Annual Conference for the Society for Industrial and Organizational Psychology, Honolulu, HI.
  37. Smith-Jentsch, K.A., *Wiese, C. W., *Tindall, M. J., & Wang, W., (2014). Exercise-Specific Task Experience and the Construct Validity of AC Ratings. The 29th Annual Conference for the Society for Industrial and Organizational Psychology, Honolulu, HI.
  38. Wang, W., & Newman. A. D. (April 2013). Measuring Employee Engagement: Toward Consensus in Constructs and Instruments. The 28th Annual Conference of the Society of Industrial & Organizational Psychology, Houston, TX.
  39. Wang, W., Jin, J., Drasgow, F., & de la Torre, J. (April 2013). Revisiting the Viability of Crowdsourcing: An Ideal-Point Model Approach. The 28th Annual Conference of the Society of Industrial & Organizational Psychology, Houston, TX.
  40. Rasul, I., Wang, W., & Shabbir, M. S. (October 2012). Trust as a mediator for the effect of organizational justice: What do the multifoci and cultural approaches tell us? The 55th Annual Meeting of the Midwest Academy of Management. Itasca, IL.
  41. Wang, W., E. J. & Newman, A. D. (August 2012). Power analysis of the social network autocorrelation model. The 2012 Annual Meeting of the Academy of Management, Boston, MA.
  42. Wang, W., Drasgow, F. & Liu, L. (July 2012). A Bi-Factor Approach to Within-item Multidimensionality Analysis and Subscore Estimation. The 77th Annual Meeting of the Psychometric Society, Lincoln, NE.
  43. Wang, W., & Rupp, D. E. (June 2012). Justice Beliefs and Need for Justice as an Explanation for East-West Differences in Organizational Justice Perceptions. The 5th Biennial Conference of International Association for Chinese Management Research, Hong Kong.
  44. Wang, W., Gill, M. S., & Rasul, I. A. (May 2012). Religiosity and Organizational Justice Perception: the Moral Cosmology and Modernism Theory Approaches. The 24th Annual Convention of the Association for Psychological Science, Chicago, IL.
  45. Wang, W., Rupp, D. E. & Gill, M. S. (May 2012). Justice Need Strength and Contingency Beliefs Interact in Predicting Need for Justice. The 24th Annual Convention of the Association for Psychological Science, Chicago, IL.
  46. Wang, W., Tay, L. & Drasgow, F. (April 2011). Assessing differential item functioning in polytomous items with Generalized Graded Unfolding Model (GGUM). The 26th Annual Conference of the Society of Industrial & Organizational Psychology, Chicago, IL.
  47. Wang, W., Senay, I., & Albarracin, D. (January 2010). Facilitation of action vs. inaction during simultaneous pursuit of multiple action vs. inaction goals in a complex Go/No-Go task. The 11th Annual Conference of the Society of Personality and Social Psychology, Las Vegas, NV.
  48. Wang, W., & Albarracin, D. (March 2009). General action priming: exercise messages increase immediate food intake. 2009 Science of Behavior Change Symposium, Champaign, IL.
  49. Wang, W., Li, H., & Albarracin, D. (January 2007). Cultural variations in the effects of action/inaction goals: A comparison between Eastern vs. Western cultures. The 8th Annual Conference of the Society of Personality and Social Psychology, Memphis, TN.
  50. Wang, W., Zhou, N., & Zhou, J. (September 2005). Optimistic judgment towards positive and negative events among Chinese. The 4th International Positive Psychology Summit. Washington D.C.

Invited Talks

USA:

    • Baruch College, CUNY (Psychology)
    • Illinois Institute of Technology (Psychology)
    • Old Dominion University (Psychology)
    • George Washington University (Psychology)
    • Auburn University (Psychology)
    • Northwestern University (Sonic)
    • Pennsylvania State University (Psychology)
    • University of Alabama (Culverhouse College of Commerce)
    • University of South Florida (Psychology)
    • University of Central Florida (School of Public administration and Center for  Public and Nonprofit Management)
    • University of Central Florida (Psychology)

China

    • Tsinghua University (School of Economics and Management)
    • Peking University (Guanghua  School of Management)
    • Beijing Normal University (Psychoology)
    • Hunan University (Business School)
    • Jianagxi Normal University (Psychology)
    • Beijing Normal University (Psychology)

Invited Workshops

USA:

    • Northwestern University (ATLAS): Missing data imputation in R
    • Northwestern University (ATLAS): Data analysis with R
    • University of Central Florida (College of Health and Public Affairs): Item Response Theory and Applications in Community Studies

China:

    • Tsinghua University (School of Economics and Management): Social Network Analysis