Psychometric Properties of a Computerized Mobile Phone Method for Assessing Mood in Daily Life

Emotion

Volumn 10, Issue 1, 2010, Pages 115-124

  Courvoisier, Delphine S ^a   Eid, Michael ^b   Lischetzke, Tanja ^b   Schreiber, Walter H ^c  

^a UNIVERSITY OF GENEVA   (Switzerland)

^b FREIE UNIVERSITÄT BERLIN   (Germany)

^c France   (Germany)

Author keywords

computerized mobile phone assessment; ecological momentary assessment; longitudinal data; psychometric

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; COMPUTER AIDED DESIGN; COMPUTER PROGRAM; DAILY LIFE ACTIVITY; FEMALE; HUMAN; HUMAN EXPERIMENT; LONGITUDINAL STUDY; MALE; MEASUREMENT ERROR; MOBILE PHONE; MOOD; MOOD CHANGE; PSYCHOMETRY; QUESTIONNAIRE; RATING SCALE; RELIABILITY; RETROSPECTIVE STUDY; SELF REPORT; SEX RATIO; STRUCTURAL EQUATION MODELING;

ACTIVITIES OF DAILY LIVING; ADOLESCENT; ADULT; AFFECT; CELLULAR PHONE; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, PSYCHOLOGICAL; PATIENT COMPLIANCE; PSYCHOMETRICS; SEX FACTORS; SOFTWARE; YOUNG ADULT;

EID: 77249178209     PISSN: 15283542     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0017813     Document Type: Article

References (50)

1. Clark L.A., and Watson D. Mood and the mundane: Relations between daily life events and self-reported mood. Journal of Personality and Social Psychology 54 (1988) 296-308
2. Cole D.A., Martin N.C., and Steiger J.H. Empirical and conceptual problems with longitudinal trait-state models: Introducing a trait-state-occasion model. Psychological Methods 10 (2005) 3-20
3. Collins R.L., Kashdan T.B., and Gollnisch G. The feasibility of using cellular phones to collect ecological momentary assessment data: Application to alcohol consumption. Experimental and Clinical Psychopharmacology 11 (2003) 73-78
4. Courvoisier D.S., Eid M., and Nussbeck F.W. Mixture distribution latent state-trait analysis: Basic ideas and applications. Psychological Methods 12 (2007) 80-104
5. Eid M. Confirmatory factor analysis for polytomous item responses: Model definition and model selection based on stochastic measurement theory. Methods of Psychological Research-Online 1 (1996) 65-85
6. Eid M., and Diener E. Intraindividual variability in affect: Reliability, validity, and personality correlates. Journal of Personality and Social Psychology 76 (1999) 662-676
7. Eid M., and Diener E. Global judgments of subjective well-being: Situational variability and long-term stability. Social Indicators Research 65 (2004) 245-277
8. Eid M., Notz P., Steyer R., and Schwenkmezger P. Validating scales for the assessment of mood level and variability by latent state-trait analyses. Personality and Individual Differences 16 (1994) 63-76
9. Eid M., Schneider C., and Schwenkmezger P. Do you feel better or worse? The validity of perceived deviations of mood states from mood traits. European Journal of Personality 13 (1999) 283-306
10. Fahrenberg J., Myrtek M., Pawlik K., and Perrez M. Ambulatory assessment: Monitoring behavior in daily life settings. European Journal of Psychological Assessment 23 (2007) 206-213
11. Freedman M.J., Lester K.M., McNamara C., Milby J.B., and Schumacher J.E. Cell phones for ecological momentary assessment with cocaine-addicted homeless patients in treatment. Journal of Substance Abuse Treatment 30 (2006) 105-111
12. Frijda N.H. Varieties of affect: Emotions and episodes, moods, and sentiments. In: Ekman P., and Davidson R.J. (Eds). The nature of emotion: Fundamental questions (1994), Oxford University Press, New York 59-67
13. Fuchs M. Kann man Umfragen per Handy durchführen? Ausschöpfung, Interview-Dauer und Item-Nonresponse im Vergleich mit einer Festnetz-Stichprobe. Planung und Analyse 2 (2002) 57-63
14. Gee P., Coventry K.R., and Birkenhead D. Mood state and gambling: Using mobile telephones to track emotions. British Journal of Psychology 96 (2005) 53-66
15. Hufford M.R., Shiffman S., Paty J., and Stone A.A. Ecological Momentary Assessment: Real-world, real-time measurement of patient experience. In: Myrtek M., and Fahrenberg J. (Eds). Progress in ambulatory assessment: Computer assisted psychological and psychophysiological methods in monitoring and field studies (2001), Hogrefe & Huber Publishers, Ashland, OH 69-92
16. Kahneman D. Objective happiness. In: Kahneman D., Diener E., and Schwarz N. (Eds). Well-being: The foundations of hedonic psychology (1999), Russell Sage Foundation, New York 3-25
17. Lischetzke T., Cuccodoro G., Gauger A., Todeschini L., and Eid M. Measuring affective clarity indirectly: Individual differences in response latencies of state affect ratings. Emotion 5 (2005) 431-445
18. Lischetzke T., and Eid M. Why extraverts are happier than introverts: The role of mood regulation. Journal of Personality 74 (2006) 1127-1161
19. Marco C.A., Neale J.M., Schwartz J.E., Shiffman S., and Stone A.A. Coping with daily events and short-term mood changes: An unexpected failure to observe effects of coping. Journal of Consulting and Clinical Psychology 67 (1999) 755-764
20. Matthews G., Jones D.M., and Chamberlain A.G. Refining the measurement of mood: The UWIST Mood Adjective Checklist. British Journal of Psychology 81 (1990) 17-42
21. Mehl M.R., and Holleran S.E. An empirical analysis of the obtrusiveness of and participants' compliance with the electronically activated recorder (EAR). European Journal of Psychological Assessment 23 (2007) 248-257
22. Miner, A. G., Glomb, T. M., & Hulin, C. L. (2001, July). Mood at work: Experience sampling using palmtop computers. Paper presented at the 16th Annual Conference of the Society for Industrial and Organizational Psychology, San Diego, CA.
23. Morris W.N. Mood: The frame of mind (1989), Springer, New York
24. Muthén L.K., and Muthén B.O. Mplus User's guide. 5th ed. (1998-2007), Muthén & Muthén, Los Angeles
25. Nunnally J.C., and Bernstein I.H. Psychometric theory. 3rd ed. (1994), McGraw-Hill, New York
26. Nusser S.M., Intille S.S., and Maitra R. Emerging technologies and next-generation intensive longitudinal data collection. In: Walls T.A., and Schafer J.L. (Eds). Models for intensive longitudinal data (2006), Oxford University Press, New York 254-277
27. Office Fédéral de la Statistique. Les indicateurs de la société de l'information en Suisse [Indicators of the information society in Switzerland] (2007), OFS, Neuchatel, Suisse
28. Parkinson B. Emotions are social. British Journal of Psychology 87 (1996) 663-683
29. Robinson M.D., and Clore G.L. Belief and feeling: Evidence for an accessibility model of emotional self-report. Psychological Bulletin 128 (2002) 934-960
30. Robinson M.D., and Clore G.L. Episodic and semantic knowledge in emotional self-report: Evidence for two judgment processes. Journal of Personality and Social Psychology 83 (2002) 198-215
31. Scherer K.R. Emotion. In: Stroebe W., Jonas K., and Hewstone M. (Eds). Sozialpsychologie: Eine Einführung [Social psychology: An introduction]. 4 ed. (2002), Springer, Berlin 165-213
32. Shiffman S., and Stone A.A. Ecological momentary assessment: A new tool for behavioral medicine research. In: Baum A., and Krantz D.S. (Eds). Technology and methods in behavioral medicine (1998), Erlbaum Publishers, Mahwah, NJ 117-131
33. Shiffman S., Stone A.A., and Hufford M.R. Ecological momentary assessment. Annual Review in Clinical Psychology 4 (2008) 1-32
34. Smyth J.M., and Stone A.A. Ecological momentary assessment research in behavioral medicine. Journal of Happiness Studies 4 (2003) 35-52
35. Steyer R., Ferring D., and Schmitt M.J. States and traits in psychological assessment. European Journal of Psychological Assessment 8 (1992) 79-98
36. Steyer R., Schmitt M., and Eid M. Latent state-trait theory and research in personality and individual differences. European Journal of Personality 13 (1999) 389-408
37. Steyer R., Schwenkmezger P., Notz P., and Eid M. Testtheoretische Analysen des Mehrdimensionalen Befindlichkeitsfragebogens (MDBF) [Psychometric analysis of a multidimensional mood questionnaire (MMQ)]. Diagnostica 40 (1994) 320-328
38. Steyer R., Schwenkmezger P., Notz P., and Eid M. Der Mehrdimensionaler Befindlichkeitsfragebogen, MDBF (Multidimensional Mood Questionnaire) (1997), Hogrefe, Göttingen
39. Stone A.A., Broderick J.E., Schwartz J.E., Shiffman S., Litcher-Kelly L., and Calvanese P. Intensive momentary reporting of pain with an electronic diary: Reactivity, compliance, and patient satisfaction. Pain 104 (2003) 343-351
40. Stone A.A., and Litcher-Kelly L. Momentary capture of real-world data. In: Eid M., and Diener E. (Eds). Handbook of multimethod measurement in psychology (2006), American Psychological Association, Washington, DC
41. Stone A.A., and Shiffman S. Ecological momentary assessment (EMA) in behavorial medicine. Annals of Behavioral Medicine 16 (1994) 199-202
42. Stone A.A., Shiffman S., Atienza A., and Nebeling L. The science of real-time data capture: Self-reports in health research (2007), Oxford University Press, New York
43. Stone A.A., Shiffman S., and DeVries M.W. Ecological momentary assessment. In: Schwarz N., Kahneman D., and Diener E. (Eds). Well being: The foundations of hedonic psychology (1999), Russell Sage Foundation, New York 26-39
44. Stone A.A., Shiffman S., Schwartz J., Broderick J., and Hufford M.R. Patient non-compliance with paper diaries. British Medical Journal 324 (2002) 1193-1194
45. Stone A.A., Shiffman S., Schwartz J.E., Broderick J.E., and Hufford M.R. Patient compliance with paper and electronic diaries. Controlled Clinical Trials 24 (2003) 182-199
46. Telesage. SmartQ (Version 5.1) (2005), Telesage, Chapel Hill, NC
47. Tidey J.W., Monti P.M., Rohsenow D.J., Gwaltney C.J., Miranda Jr. R., McGeary J.E., and Paty J.A. Moderators of naltrexone's effects on drinking, urge, and alcohol effects in non-treatment-seeking heavy drinkers in the natural environment. Alcoholism: Clinical and Experimental Research 32 (2008) 58-66
48. Wilhelm P., and Schoebi D. 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 23 (2007) 258-267
49. Williams K.J., Suls J., Alliger G.M., Learner S.M., and Wan C.K. Multiple role juggling and daily mood states in working mothers: An experience sampling study. Journal of Applied Psychology 76 (1991) 664-674
50. Yuan K.H., and Bentler P.M. Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. In: Sobel M.E., and Becker M.P. (Eds). Sociological methodology 2000 (2000), ASA, Washington, DC 165-200