Assessing mood in daily life: Structural validity, sensitivity to change, and reliability of a short-scale to measure three basic dimensions of mood

European Journal of Psychological Assessment

Volumn 23, Issue 4, 2007, Pages 258-267

  Wilhelm, Peter ^a   Schoebi, Dominik ^a,b  

^a UNIVERSITY OF FRIBOURG   (Switzerland)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Affect; Ambulatory assessment; Ecological momentary assessment; Electronic diary; Mood; Multilevel confirmatory factor analysis

Indexed keywords

EID: 35949001256     PISSN: 10155759     EISSN: None     Source Type: Journal    
DOI: 10.1027/1015-5759.23.4.258     Document Type: Article

References (50)

1. Bauer, D.J. (2003). Estimating multilevel linear models as structural equation models. Journal of Education and Behavioral Statistics, 28, 135-167.
2. Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579-616.
3. Buse, L., & Pawlik, K. (1996). Ambulatory behavioral assessment and in-field performance testing. In J. Fahrenberg & M. Myrtek (Eds.), Ambulatory assessment (pp. 29-50). Kirkland, WA: Hogrefe & Huber.
4. Buse, L., & Pawlik, K. (2001). Computer-assisted ambulatory performance-tests in everyday situations: Construction, evaluation, and psychometric properties of a test battery measuring mental activation. In J. Fahrenberg & M. Myrtek (Eds.), Progress in ambulatory assessment (pp. 3-23). Kirkland, WA: Hogrefe & Huber.
5. Cranford, J.A., Shrout, P.E., Iida, M., Rafaeli, E., Yip, T., & Bolger, N. (2006). A procedure for evaluating sensitivity to within-person change: Can mood measures in diary studies detect change reliably? Personality and Social Psychology Bulletin, 32, 917-929.
6. Curran, P.J. (2003). Have multilevel models been structural equation models all along? Multivariate Behavioral Research, 38, 529-569.
7. Davidson, R.J. (1994). On emotion, mood, and related affective constructs. In P. Ekman & R.J. Davidson (Eds.), The nature of emotion. Fundamental questions (pp. 51-55). New York: Oxford University Press.
8. Ebner-Priemer, U.W., & Sawitzki, G. (2007). Ambulatory assessment of affective instability in borderline personality disorder: The effect of the sampling frequency. European Journal of Psychological Assessment, 23, 238-247.
9. Ekman, P., & Davidson, R.J. (Eds.). (1994). The nature of emotion: Fundamental questions. New York: Oxford University Press.
10. Fahrenberg, J. (2006). Self-reported subjective state - Single items or scales like AD-ACL and PANAS? European Network of Ambulatory Assessment. Statements and Open Commentaries. Retrieved June 21, 2007, from http://www.ambulatory-assessment.org.
11. Fahrenberg, J., Hüttner, P., & Leonhart, R. (2001). MONITOR: Acquisition of psychological data by a hand-held PC. In J. Fahrenberg & M. Myrtek (Eds.), Progress in ambulatory assessment (pp. 93-112). Kirkland, WA: Hogrefe & Huber.
12. Fahrenberg, J., Leonhart, R., & Foerster, F. (2002). Alltagsnahe Psychologie: Datenerhebung im Feld mit hand-held PC und physiologischem Mess-System [Psychological assessment in everyday life: Data gathering in the field by handheld personal computers and physiological monitoring systems]. Bern: Huber.
13. Fahrenberg, J., Myrtek, M., Pawlik, K., & Perrez, M. (2007). Ambulatory assessment - Monitoring behavior in daily life settings: A behavioral-scientific challenge for psychology. European Journal of Psychological Assessment, 23, 206-213.
14. Goldstein, H. (2003). Multilevel statistical models (3rd ed.). London, UK: Edward Arnold.
15. Gorin, A.A., & Stone, A.A. (2001). Recall biases and cognitive errors in retrospective self-reports: A call for momentary assessments. In A. Baum, T.A., Revenson, & J.E. Singer (Eds.), Handbook of health psychology (pp. 405-413). Mahwah, NJ: Erlbaum.
16. Kenny, D.A., Kashy, D.A., & Cook, W.L. (2006). Dyadic data analysis. New York: Guilford.
17. Kenny, D.A., & Zautra, A. (2001). Trait-state models for longitudinal data. In L.M. Collins & A.G. Sayer (Eds.), New methods for the analysis of change (pp. 243-263). Washington, DC: American Psychological Association.
18. Klumb, P.L. (2004). Benefits form productive and consumptive activities: Results from the Berlin Aging Study. Social Indicators Research, 67, 107-127.
19. Kubiak, T., & Jonas, C. (2007). Applying circular statistics to the analysis of monitoring data: Patterns of social interactions and mood. European Journal of Psychological Assessment, 23, 227-237.
20. Lewis, M., & Haviland-Jones, J.M. (Eds.). (2000). Handbook of emotions (2nd ed.). New York: Guilford.
21. Lucas, R.E., & Baird, B.M. (2006). Global self-assessment. In M. Eid & E. Diener (Eds.), Handbook of multimethod measurement in psychology (pp. 29-42). Washington, DC: American Psychological Association.
22. Matthews, G., Jones, D, M., & Chamberlain, A.G. (1990). Refining the measurement of mood: The UWIST Mood Adjective Checklist. British Journal of Psychology, 81, 17-42.
23. Myrtek, M. (2004). Heart and emotion. Ambulatory monitoring studies in everyday life. Göttingen, Germany: Hogrefe & Huber.
24. Perrez, M. (2006). Plädoyer für theorieadäquate Methoden in gewissen Domänen der Psychologie [Plea for a theory-adequate methodology in certain domains of psychology]. Verhaltenstherapie und Psychosoziale Praxis, 38, 319-330.
25. Perrez, M., Schoebi, D., & Wilhelm, P. (2000). How to assess social regulation of stress and emotions in daily family life? A computer-assisted family self-monitoring-system (FASEMC). Clinical Psychology and Psychotherapy, 7, 326-339.
26. Rasbash, J., Steele, F., Browne, W., & Prosser, B. (2005). A user's guide to MLwiN version 2.0. Bristol, UK: Centre for Multilevel Modelling, University of Bristol.
27. Raudenbush, S.W., & Bryk, A.S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.
28. Reicherts, M., Salamin, V., Maggiori C., & Pauls, K. (2007). The learning affect monitor (LAM): A computer-based system integrating dimensional and discrete assessment of affective states in daily life. European Journal of Psychological Assessment, 23, 268-277.
29. Robinson, M.D., & Clore, G.L. (2002). Belief and feeling: Evidence for an accessibility model of emotional self-report. Psychological Bulletin, 128, 934-960.
30. Russell, J.A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110, 145-172.
31. Russell, J.A., & Carroll, J.M. (1999a). On the bipolarity of positive and negative affect. Psychological Bulletin, 125, 3-30.
32. Russell, J.A., & Carroll, J.M. (1999b). The phoenix of bipolarity: Reply to Watson and Tellegen (1999). Psychological Bulletin, 125, 611-617.
33. Russell, J.A., Weiss, A., & Mendelsohn, G.A. (1989). Affect grid: A single-item scale of pleasure and arousal. Journal of Personality and Social Psychology, 57, 493-502.
34. Scherer, K.R. (2005). What are emotions? And how can they be measured? Social Science Information, 44, 695-729.
35. Schimmack, U. (1999). Strukturmodelle der Stimmungen: Rückschau, Rundschau und Ausschau [Structural models of mood: Review, overview, and outlook]. Psychologische Rundschau, 50, 90-97.
36. Schimmack, U. (2003). Affect measurement in experience sampling research. Journal of Happiness Studies, 4, 79-106.
37. Schimmack, U. (2005). Response latencies of pleasure and displeasure ratings: Further evidence for mixed feelings. Cognition and Emotion, 19, 671-691.
38. Schimmack, U., & Grob, A. (2000). Dimensional models of core affect: A quantitative comparison by means of structural equation modeling. European Journal of Personality, 14, 325-345.
39. Schimmack, U., & Reisenzein, R. (2002). Experiencing activation: Energetic arousal and tense arousal are not mixtures of valence and activation. Emotion, 2, 412-417.
40. Steyer, R., & Riedl, K. (2004). Is it possible to feel good and bad at tiie same time? New evidence on the bipolarity of moodstate dimensions. K. van Montfort, J. Oud, & A. Satorra (Eds.), Recent developments on structural equation models: Theory and applications (pp. 197-220). Dordrecht, The Netherlands: Kluwer.
41. 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.
42. Steyer, R., Schwenkmezger, P., Notz, P., & Eid, M. (1997). Der Mehrdimensionale Befindlichkeitsfragebogen. Handanweisung [The Multidimensional Mood Questionnaire (MDMQ)]. Göttingen, Germany: Hogrefe.
43. Thayer, R.E. (1989). The biopsychology of mood and activation. New York: Oxford University Press.
44. Watson, D., & Tellegen, A. (1985). Toward a consensual structure of mood. Psychological Bulletin, 98, 219-235.
45. Watson, D., & Tellegen, A. (1999). Issues in the dimensional structure of affect - Effects of descriptors, measurement error, and response formats: Comment on Russell and Carroll (1999). Psychological Bulletin, 125, 601-610.
46. Watson, D., & Vaidya, J. (2003). Mood measurement: Current status and future directions. In I.B. Weiner (Series Ed.) & J.A. Schinka & W.F. Velicer (Volume Eds.), Handbook of psychology, Vol. 2: Research methods in psychology (pp. 351-375). Hoboken, NJ: Wiley.
47. Wilhelm, P. (2004). Empathie im Alltag von Paaren. Akkuratheit und Projektion bei der Einschätzung des Befindens des Partners [Empathy in couples' everyday lives: Accuracy and projection in judging the partner's feelings]. Bern: Huber.
48. Wilhelm, P., & Perrez, M. (2004). How is my partner feeling in different daily-life settings? Accuracy of spouses' judgments about their partner's feelings at work and at home. Social Indicators Research, 67, 183-246.
49. Zelenski, J.M., & Larsen, R.J. (2000). The distribution of basic emotions in everyday life: A state and trait perspective from experience sampling data. Journal of Research in Personality, 34, 178-197.
50. Zevon, M.A., & Tellegen, A. (1982). The structure of mood change: An ideographic/nomothetic analysis. Journal of Personality and Social Psychology, 43, 111-122.