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Free AccessEditorial

States and Traits

Theories, Models, and Assessment

Published Online:https://doi.org/10.1027/1015-5759/a000413
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References

  • Bishop, J., Geiser, C. & Cole, D. A. (2015). Modeling latent growth with multiple indicators: A comparison of three approaches. Psychological Methods, 20, 43–62. First citation in articleCrossrefGoogle Scholar

  • Courvoisier, D. S., Eid, M. & Nussbeck, F. W. (2007). Mixture distribution latent state-trait analysis: Basic ideas and applications. Psychological Methods, 12, 80–104. First citation in articleCrossrefGoogle Scholar

  • Crayen, C., Eid, M., Lischetzke, T. & Vermunt, J. K. (2017). A continuous-time mixture latent state-trait Markov model for experience sampling data: Application and evaluation. European Journal of Psychological Assessment, 33, 296–311. doi: 10.1027/1015-5759/a000418 First citation in articleLinkGoogle Scholar

  • Danner, D., Hagemann, D., Schankin, A., Hager, M. & Funke, J. (2011). Beyond IQ: A latent state-trait analysis of general intelligence, dynamic decision making, and implicit learning. Intelligence, 39, 323–334. doi: 10.1016/j.intell.2011.06.004 First citation in articleCrossrefGoogle Scholar

  • Deinzer, R., Steyer, R., Eid, M., Notz, P., Schwenkmezger, P., Ostendorf, F. & Neubauer, A. (1995). Situational effects in trait assessment: The FPI, NEOFFI and EPI questionnaires. European Journal of Personality, 9, 1–23. First citation in articleCrossrefGoogle Scholar

  • Donnellan, M. B., Lucas, R. E. & Fleeson, W. (2009). Editorial: Introduction to personality and assessment at age 40: Reflections on the legacy of the person-situation debate and the future of person-situation integration. Journal of Research in Personality, 43, 117–119. First citation in articleCrossrefGoogle Scholar

  • Eid, M. (1996). Longitudinal confirmatory factor analysis for polytomous item responses: Model definition and model selection on the basis of stochastic measurement theory. Methods of Psychological Research – Online, 1, 65–85. First citation in articleGoogle Scholar

  • Eid, M. & Hoffmann, L. (1998). Measuring variability and change with an item response model for polytomous variables. Journal of Educational and Behavioral Statistics, 23, 193–215. First citation in articleCrossrefGoogle Scholar

  • Eid, M., Holtmann, J., Santangelo, P. & Ebner-Priemer, U. (2017). On the definition of latent state-trait models with autoregressive effects: Insights from LST-R theory. European Journal of Psychological Assessment, 33, 285–295. First citation in articleLinkGoogle Scholar

  • Eid, M. & Langeheine, R. (1999). Measuring consistency and occasion specificity with latent class models: A new model and its application to the measurement of affect. Psychological Methods, 4, 100–116. First citation in articleCrossrefGoogle Scholar

  • Eid, M., Schneider, C. & Schwenkmezger, P. (1999). Do you feel better or worse? The validity of perceived deviations of mood states from mood traits. European Journal of Personality, 13, 283–306. First citation in articleCrossrefGoogle Scholar

  • Embretson, S. E. (1983). Construct validity: Construct representation versus nomothetic span. Psychological Bulletin, 93, 179–197. First citation in articleCrossrefGoogle Scholar

  • Epstein, S. (1983). The stability of confusion: Reply to Mischel and Peake. Psychological Review, 90, 179–184. First citation in articleCrossrefGoogle Scholar

  • Fleeson, W. (2001). Toward a structure- and process-integrated view of personality: Traits as density distributions of states. Journal of Personality and Social Psychology, 80, 1011–1027. First citation in articleCrossrefGoogle Scholar

  • Fleeson, W. (2004). Moving personality beyond the person-situation debate: The challenge and the opportunity of within-person variability. Current Directions in Psychological Science, 13, 83–87. First citation in articleCrossrefGoogle Scholar

  • Funder, D. C. (1991). Global traits: A Neo-Allportian approach to personality. Psychological Science, 2, 31–39. First citation in articleCrossrefGoogle Scholar

  • Funder, D. C. (2008). Persons, situations, and person-situation interactions. In O. P. JohnR. RobinsL. PervinEds., Handbook of personality (3rd ed, pp. 568–580). New York, NY: Guilford Press. First citation in articleGoogle Scholar

  • Funder, D. C., Guillaume, E., Kumagai, S., Kawamoto, S. & Sato, T. (2012). The person-situation debate and the assessment of situations. Japanese Journal of Personality, 21, 1–11. First citation in articleCrossrefGoogle Scholar

  • Geiser, C., Keller, B. T., Lockhart, G., Eid, M., Cole, D. A. & Koch, T. (2015). Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses. Behavior Research Methods, 47, 172–203. First citation in articleCrossrefGoogle Scholar

  • Geiser, C., Litson, K., Bishop, J., Keller, B. T., Burns, G. L., Servera, M. & Shiffman, S. (2015). Analyzing person, situation, and person × situation interaction effects: Latent state-trait models for the combination of random and fixed situations. Psychological Methods, 20, 165–192. First citation in articleCrossrefGoogle Scholar

  • Geiser, C. & Lockhart, G. (2012). A comparison of four approaches to account for method effects in latent state trait analysis. Psychological Methods, 17, 255–283. First citation in articleCrossrefGoogle Scholar

  • Gnambs, T. & Butins, K. (2017). The measurement of variability and change in life satisfaction: A comparison of single-item and multi-item instruments. European Journal of Psychological Assessment, 33, 224–238. doi: 10.1027/1015-5759/a000414 First citation in articleLinkGoogle Scholar

  • Hertzog, C. & Nesselroade, J. R. (1987). Beyond autoregressive models: Some implications of the trait-state distinction for the structural modeling of developmental change. Child Development, 58, 93–109. First citation in articleCrossrefGoogle Scholar

  • Kenny, D. A. & Zautra, A. (1995). The trait-state-error model for multiwave data. Journal of Consulting and Clinical Psychology, 63, 52–59. First citation in articleCrossrefGoogle Scholar

  • Kenrick, D. T. & Funder, D. C. (1988). Profiting from controversy: Lessons from the person-situation debate. The American Psychologist, 43, 23–34. First citation in articleCrossrefGoogle Scholar

  • Kirschbaum, C., Steyer, R., Eid, M., Patalla, U., Schwenkmezger, P. & Hellhammer, D. H. (1990). Cortisol and behavior: 2 Application of a latent state-trait model to salivary cortisol. Psychoneuroendocrinology, 15, 297–307. doi: 10.1016/0306-4530(90)90080-S First citation in articleCrossrefGoogle Scholar

  • Koch, T., Schultze, M., Holtmann, J., Geiser, C. & Eid, M. (in press). A multimethod latent state-trait model for structurally different and interchangeable methods. Psychometrika. First citation in articleGoogle Scholar

  • Ledermann, T. & Macho, S. (2014). Analyzing change at the dyadic level: The common fate growth model. Journal of Family Studies, 28, 204–213. First citation in articleGoogle Scholar

  • Loncke, J., Mayer, A., Eichelsheim, V., Branje, S., Meeus, W., Koot, H., … Loeys, T. (2017). Latent state-trait models for longitudinal family data: Investigating consistency in perceived support. European Journal of Psychological Assessment, 33, 256–270. doi: 10.1027/1015-5759/a000415 First citation in articleLinkGoogle Scholar

  • Mischel, W. (1968). Personality and assessment. New York, NY: Wiley. First citation in articleGoogle Scholar

  • Nett, U. E., Bieg, M. & Keller, M. M. (2017). How much trait variance is captured by measures of academic state emotions? A latent state-trait-analysis. European Journal of Psychological Assessment, 33, 239–255. doi: 10.1027/1015-5759/a000416 First citation in articleLinkGoogle Scholar

  • Podsakoff, P. M., MacKenzie, S. B. & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 65, 539–569. First citation in articleCrossrefGoogle Scholar

  • Rauthmann, J. F., Sherman, R. A. & Funder, D. C. (2015). Principles of situation research: Towards a better understanding of psychological situations. European Journal of Personality, 29, 363–381. doi: 10.1002/per.1994 First citation in articleCrossrefGoogle Scholar

  • Roberts, B. W. (2009). Back to the future: Personality and assessment and personality development. Journal of Research in Personality, 43, 137–145. First citation in articleCrossrefGoogle Scholar

  • Schmitt, M. & Baumert, A. (2010). On the diversity of dynamic person × situation interactions. European Journal of Personality, 24, 497–500. First citation in articleGoogle Scholar

  • Steyer, R., Ferring, D. & Schmitt, M. J. (1992). States and traits in psychological assessment. European Journal of Psychological Assessment, 8, 79–98. First citation in articleGoogle Scholar

  • Steyer, R., Geiser, C. & Fiege, C. (2012). Latent state-trait models. In H. CooperEd., Handbook of research methods in psychology (pp. 291–308). Washington, DC: APA. First citation in articleGoogle Scholar

  • Steyer, R., Majcen, A.-M., Schwenkmezger, P. & Buchner, A. (1989). A latent state-trait anxiety model and its application to determine consistency and specificity coefficients. Anxiety Research, 1, 281–299. First citation in articleCrossrefGoogle Scholar

  • Steyer, R., Mayer, A., Geiser, C. & Cole, D. A. (2015). A theory of states and traits – revised. Annual Review of Clinical Psychology, 11, 71–98. doi: 10.1146/annurev-clinpsy-032813-153719 First citation in articleCrossrefGoogle Scholar

  • Steyer, R., Schmitt, M. & Eid, M. (1999). Latent state-trait theory and research in personality and individual differences. European Journal of Personality, 13, 389–408. First citation in articleCrossrefGoogle Scholar

  • Thielemann, D., Sengewald, M.-A., Kappler, G. & Steyer, R. (2017). A probit latent state IRT model with latent item-effect variables. European Journal of Psychological Assessment, 33, 271–284. doi: 10.1027/1015-5759/a000417 First citation in articleLinkGoogle Scholar

  • Tisak, J. & Tisak, M. S. (2000). Permanency and ephemerality of psychological measures with application to organizational commitment. Psychological Methods, 5, 175–198. First citation in articleCrossrefGoogle Scholar

  • Zimmerman, D. W. (1975). Probability spaces, Hilbert spaces, and the axioms of test theory. Psychometrika, 40, 395–412. doi: 10.1007/BF02291765 First citation in articleCrossrefGoogle Scholar