Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-09T22:56:35.320Z Has data issue: false hasContentIssue false

Factor Structure and Invariance of the POMS Mood State Questionnaire in Spanish

Published online by Cambridge University Press:  10 January 2013

Elena Andrade*
Affiliation:
Universidad de Santiago de Compostela (Spain)
Constantino Arce
Affiliation:
Universidad de Santiago de Compostela (Spain)
Julio Torrado
Affiliation:
Universidad de Santiago de Compostela (Spain)
Javier Garrido
Affiliation:
Universidad de Santiago de Compostela (Spain)
Cristina De Francisco
Affiliation:
Universidad de Santiago de Compostela (Spain)
Iria Arce
Affiliation:
Universidad de Santiago de Compostela (Spain)
*
Correspondence concerning this article should be addressed to Elena Andrade. Facultad de Psicología, Universidad de Santiago de Compostela. 15782 Santiago de Compostela. La Coruña. (Spain). Phone: +34-981563100, 13716. E-mail: [email protected]

Abstract

The purpose of this study was to examine the extent to which the Spanish POMS assesses the same factors as the original form of the questionnaire. We started from a version with 63 items, representing seven conceptual dimensions. This version was administered to a sample of 364 adult athletes. In the whole sample, exploratory factor analytic findings suggested a more parsimonious measurement model, with 44 items and 6 first-order factors. Then the data from said sample were randomly divided into two sets, each containing about 50% of the subjects. The fit of the first sample set (n = 166) to the proposed model was adequate. Four of the main goodness-of-fit indices exhibited the following values: CFI = .95, NNFI = .95, SRMR = .083, and RMSEA = .064. We tested the same model in the second data set (n = 198), in which the fit was also acceptable, with values of .95, .94, .088, and .066 for CFI, NNFI, SRMR, and RMSEA, respectively. In addition, we used multi-group confirmatory factor analysis to provide evidence on the invariance of the model.

El propósito de este estudio fue examinar hasta qué punto el POMS en español aborda los mismos factores que la forma original del cuestionario. Partimos de una versión con 63 ítems, referidos a siete dimensiones conceptuales. Esta versión se aplicó a una muestra formada por 364 deportistas adultos. En la muestra completa, los hallazgos del análisis factorial exploratorio sugirieron un modelo de medida más parsimonioso, con 44 ítems y 6 factores de primer orden. Los datos de esta muestra se dividieron al azar en dos conjuntos, que contenían aproximadamente el 50% de los sujetos. El ajuste del primer conjunto de datos (n = 166) y el modelo propuesto fue adecuado. Cuatro de los principales índices de ajuste global adoptaron los siguientes valores: CFI = .95, NNFI = .95, SRMR = .083 y RMSEA = .064. Probamos el mismo modelo en el segundo conjunto de datos (n = 198), en el que el ajuste también resultó aceptable, con valores .95, .94, .088 y .066 para CFI, NNFI, SRMR y RMSEA, respectivamente. Además, obtuvimos evidencia de la invarianza del modelo mediante análisis factorial confirmatorio multi-grupo.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Albani, C., Blaser, G., Geyer, M., Schmutzer, G., Brähler, E., Bailer, H., & Grulke, N. (2005). The German short version of “Profile of Mood States” (POMS): Psychometric evaluation in a representative sample. Psychotherapie Psychosomatik Medizinische Psychologie, 55(7), 324330.CrossRefGoogle ScholarPubMed
Albrecht, R. R., & Ewing, S. J. (1989). Standardizing the administration of the Profile of Mood States (POMS): Development of alternative word lists. Journal of Personality Assessment, 53, 3139.CrossRefGoogle ScholarPubMed
Andrade, E. M., Arce, C., & Seoane, G. (2002). Adaptación al español del cuestionario “Perfil de los Estados de Ánimo” en una muestra de deportistas. Psicothema, 14, 708713.Google Scholar
Arce, C., Andrade, E. M., & Seoane, G. (2000). Problemas semánticos en la adaptación del POMS al castellano. Psicothema, 12(2), 4751.Google Scholar
Aroian, K. J., Kulwicki, A., Kaskiri, E. A., Templin, T. N., & Wells, C. L. (2007). Psychometric evaluation of the Arabic language version of the Profile of Mood States. Research in Nursing & Health, 3, 531541.CrossRefGoogle Scholar
Balaguer, I., Fuentes, I., Meliá, J. L., García, M. L., & Pérez, G. (1993). El Perfil de los Estados de Ánimo (POMS): Baremo para estudiantes valencianos y su aplicación en el contexto deportivo. Revista de Psicología del Deporte, 4, 3952.Google Scholar
Balaguer, I., Fuentes, I., Meliá, J. L., García, M., & Pons, D. (1994). Adaptación del Perfil de Estados de Ánimo (POMS) a una muestra de estudiantes valencianos. Paper presented at the IV Congreso de Evaluación Psicológica, Santiago de Compostela, Spain.Google Scholar
Beedie, C. J., Terry, P. C., & Lane, A. M. (2000). The Profile of Mood States and athletic performance: Two meta-analyses. Journal of Applied Sport Psychology, 12, 4968.CrossRefGoogle Scholar
Beedie, C. J., Terry, P. C., & Lane, A. M. (2005) Distinctions between emotion and mood. Cognition and Emotion, 19, 847878.CrossRefGoogle Scholar
Berger, B. G., & Motl, R. W. (2000). Exercise and mood: A selective review and synthesis of research employing the Profile of Mood States. Journal of Applied Sport Psychology, 12, 6992.CrossRefGoogle Scholar
Bullinger, M., Heinisch, M., Ludwig, M., & Geier, S. (1990). Scales for the assessment of emotional well-being: Psychometric analysis of the Profile of Mood States (POMS) and of the Psychological General Well-Being Index (PGWI). Neischrift fur Differentielle und Diagnostische Psychologie, 11, 5661.Google Scholar
Chen, K. M., Snyder, M., & Krichbaum, K. (2002). Translation and equivalence: the Profile of Mood States Short Form in English and Chinese. International Journal of Nursing Studies, 39, 619624.CrossRefGoogle ScholarPubMed
Cheung, S. Y., & Lam, E. T. C. (2005). An innovative Shortened Bilingual Version of the Profile of Mood States (POMS-SBV). School Psychology International, 26, 121128.CrossRefGoogle Scholar
De Groot, M. H. (1991). Psychometric characteristics of a mood states inventory: Shortened POMS. Gedrag and Gezondheid, 2, 4651.Google Scholar
Fillion, L., & Cagnon, P. (1999). French adaptation of the shortened version of the Profile of Mood States. Psychological Reports, 84, 188190.CrossRefGoogle ScholarPubMed
Fleming, S., Bourgeois, A. E., LeUnes, A., & Meyers, M. C. (1992). A psychometric comparison of the full scale Profile of Mood States with other abbreviated POMS scales in selected athletic populations. Paper presented at the VII meeting of the Association for the Advancement of Sport Psychology, Colorado Springs, CO.Google Scholar
Fry, R. W., Grove, J. R., Morton, A. R., Zeroni, P. M., Gaudieri, S., & Keast, D. (1994). Psychological and immunological correlates of acute overtraining. British Journal of Sports Medicine, 28, 241246.CrossRefGoogle ScholarPubMed
Grove, J. R., & Prapavessis, H. (1992). Preliminary evidence for the reliability and validity of an abbreviated Profile of Mood States. International Journal of Sport Psychology, 23, 93109.Google Scholar
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 155.CrossRefGoogle Scholar
Lane, A. M., & Terry, P. C. (2000). The nature of mood: Development of a conceptual model with a focus on depression. Journal of Applied Sport Psychology, 12, 1633.CrossRefGoogle Scholar
Lane, A. M., Terry, P. C., Beedie, C. J., Curry, D. A., & Clark, N. (2001). Mood and performance: test of a conceptual model with a focus on depressed mood. Psychology of Sport and Exercise, 2, 157172.CrossRefGoogle Scholar
LeUnes, A., & Burger, J. (2000). Updated bibliography on the profile of mood states in sport and exercise psychology research. Journal of Applied Sport Psychology, 12, 110113.CrossRefGoogle Scholar
McNair, D. M., Lorr, M., & Droppleman, L. F. (1971). Manual for the Profile of Mood States. San Diego, CA: Educational and Industrial Testing Service.Google Scholar
McNair, D. M., Lorr, M., & Droppleman, L. F. (1992). Revised Manual for the Profile of Mood States. San Diego, CA: Educational and Industrial Testing Service.Google Scholar
Morgan, W. P. (1978). The mind of the marathoner. Psychology Today, 11, 3849.Google Scholar
Morgan, W. P., & Johnson, R. W. (1977). Psychologic characterization of the elite wrestler: A mental health model. Medicine and Science in Sports, 9, 5556.Google Scholar
Morgan, W. P., & Johnson, R. W. (1978). Personality characteristics of successful and unsuccessful oarsmen. International Journal of Sport Psychology, 9, 119133.Google Scholar
Morgan, W. P., & Pollock, M. L. (1977). Psychological characterization of the elite distance runner. Annals of the New York Academy of Science, 301, 382403.CrossRefGoogle ScholarPubMed
Nagle, F. J., Morgan, W. P., Hellickson, R. O., Serfass, R. C., & Alexander, J. F. (1975). Spotting success traits in Olympic contenders. The Physician and Sports Medicine, 18, 8592.Google Scholar
Netz, Y., Zeav, A., Arnon, M., & Daniel, S. (2005). Translating a single-word items scale with multiple subcomponents — A Hebrew translation of the Profile of Mood States. The Israel Journal of Psychiatry and Related Sciences, 42(4), 263270.Google ScholarPubMed
Norcross, J. C., Guadagnoli, E., & Prochaska, J. O. (1984). Factor structure of the Profile of Mood States (POMS): Two partial replications. Journal of Clinical Psychology, 4, 12701277.3.0.CO;2-7>CrossRefGoogle Scholar
O'Connor, P. J. (2004). Evaluation of four highly cited energy and fatigue mood measures. Journal of Psychosomatic Research, 57, 435441.CrossRefGoogle ScholarPubMed
Prapavessis, H., Berger, B. G., & Grove, J. R. (1992). The relationship of training and precompetition mood states to swimming performance: An exploratory investigation. Australian Journal of Science and Medicine in Sport, 24, 1217.Google Scholar
Prapavessis, H., & Grove, J. R. (1994a). Personality variables as antecedents of precompetitive mood states. International Journal of Sport Psychology, 25, 8199.Google Scholar
Prapavessis, H., & Grove, J. R. (1994b). Personality variables as antecedents of precompetitive mood state temporal patterning. International Journal of Sport Psychology, 25, 347365.Google Scholar
Renger, R. (1993). A review of the Profile of Mood States (POMS) in the prediction of athletic success. Journal of Applied Sport Psychology, 5, 7884.CrossRefGoogle Scholar
Rowley, A. J., Landers, D. M., Kyllo, L. B., & Etnier, J. L. (1995). Does the iceberg profile discriminate between successful and less successful athletes? A meta-analysis. Journal of Sport & Exercise Psychology, 17, 185199.CrossRefGoogle Scholar
Shin, Y., & Colling, K. B. (2000). Cultural verification and application of the Profile of Mood States (POMS) with korean elders. Western Journal of Nursing Research, 22, 6883.CrossRefGoogle Scholar
Terry, P. C. (1995). The efficacy of mood state profiling with elite performers: A review and synthesis. The Sport Psychologist, 9, 309324.CrossRefGoogle Scholar
Terry, P. C. (2000). Introduction to the special issue: Perspectives on mood in sport and exercise. Journal of Applied Sport Psychology, 12, 14.CrossRefGoogle Scholar
Terry, P. C., & Lane, A. M. (2000). Normative values for the Profile of Mood States for use with athletic samples. Journal of Applied Sport Psychology, 12, 93109.CrossRefGoogle Scholar
Terry, P. C., Lane, A. M., & Fogarty, G. J. (2003). Construct validity of the Profile of Mood States-Adolescents for use with adults. Psychology of Sport and Exercise, 4, 125139.CrossRefGoogle Scholar
Terry, P. C., Lane, A. M., Lane, H. J., & Keohane, L. (1999). Development and validation of a mood measure for adolescents. Journal of Sports Sciences, 17, 861872.CrossRefGoogle ScholarPubMed
Vanden Auweele, Y., De Cuyper, B., Van Mele, V., & Rzewnicki, R. (1993). Psychological characteristics and high-level performance: Research on elite athletes using the Profile of Mood States. In Singer, R. N., Murphey, M., & Tennant, L. K. (Eds.), Handbook of Research on Sport Psychology (pp. 262265). New York: MacMillan.Google Scholar
Wald, F. D. M., & Mellenbergh, G. J. (1990). The short Dutch version of the Profile of Moods State (POMS). Nederlands Tijdschrift voor de Psychologie, 45, 8690.Google Scholar
Watson, D., & Clark, L. A. (1997). Measurement and mismeasurement of mood: Recurrent and emergent issues. Journal of Personality Assessment, 68, 267296.CrossRefGoogle ScholarPubMed
Yeun, E. J., & Shin-Park, K. K. (2006). Verification of the Profile of Mood States-Brief: Cross-Cultural Analysis. Journal of Clinical Psychology, 62, 11731180.CrossRefGoogle ScholarPubMed