Scheduled for RC Poster Social: Sharing Research Across the HPERD Disciplines, Wednesday, March 31, 2004, 4:30 PM - 6:00 PM, Convention Center: Exhibit Hall Poster Session


Confirmatory Factor Analysis of the Shortened Bilingual Version of the Profile of Mood States (POMS-SBV)

Eddie T. C. Lam, Cleveland State University, Cleveland, OH and Siu Yin Cheung, Hong Kong Baptist University, Hong Kong, China

Since its development in 1971, the Profile of Mood States (POMS) has been a popular instrument for measuring distinct mood states in both medical patients and normal population in general. The POMS has 65 items that describe moods or feelings. Respondents answer those items using a 5-point Likert scale that ranges from 0 (not at all) to 4 (extremely). Basically, the POMS measures six identifiable mood states: Tension-Anxiety (T), Depression-Dejection (D), Anger-Hostility (A), Vigor-Activity (V), Fatigue-Inertia (F), and Confusion-Bewilderment (C). An additional unscored dimension, Friendliness (Fr), is also included in the POMS. Though the administration time of the POMS was less than 10 minutes for a healthy individual, physically ill or otherwise compromised individuals may take over 20 minutes to complete the entire questionnaire. This imposes an undue burden on those patients or participants. Viewing this, Cheung and Lam (2003) recently developed a shorten version of the POMS (POMS-SBV) with only 38 items: T (5 items), D (9 items), A (9 items), V (5 items), F (5 items), and C (5 items). However, the POMS-SBV, which is a bilingual version and developed based on a normal population, has not yet been validated. The purpose of this study was to examine the factor structure of the POMS-SBV using confirmatory factor analysis (CFA). The sample (N = 1,923) was students from two large metropolitan cities in an Asian country. Using the Windows LISREL 8.5 (Jöreskog & Sörbom, 2002) computer program, the six-factor POMS-SBV was analyzed based on the Maximum Likelihood estimated method. The chi-square of the model was significant (c2 = 2,792, df = 650, p < .05) but the df to c2 ratio is reasonable (i.e., approximately 1:5). The goodness-of-fit indices were in the uppermost ranges (RMSEA = .056, SRMR = .04, CFI = .98, IFI = .98, and NNFI = .98), indicating the model provided a good fit to the data. In conclusion, while previous researchers question the factor structure of the original 65-item POMS, the 38-item POMS-SBV may be a good alternative for assessing mood profiles of individuals. Nonetheless, further studies involved samples of other populations are necessary in order to establish psychometric property and the robustness of the POMS-SBV.
Keyword(s): measurement/evaluation, multiculturalism/cultural diversity, research

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