| Abbas Tavakoli, Pamela J. Wright, Robin M. Dawson |
Health-related quality-of-life (HRQoL) has been defined as the physical, psychological, and social domains of health. HRQoL is a multi-dimensional concept commonly used to examine the impact of the presence and treatment of chronic health conditions on an individual's physical, emotional, and social well-being. While HRQoL instruments can be used with most health conditions, they lack specificity for certain health conditions such as polycystic ovary syndrome (PCOS). This paper used parallel analysis to determine the dimensionality of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (PCOSQ-50). Parallel analysis, using a SAS macro and option parallel in Proc Factor, was used to determine the dimensionality of the Perspectives of Faculty Caring. Exploratory factor analysis was conducted using maximum likelihood, squared multiple correlations, and Promax rotation. Parallel analysis, using a SAS macro and option parallel in Proc Factor, was used to determine the dimensionality of the Perspectives of online Caring. Internal consistency reliability was assessed using Cronbach's alpha. Pearson's correlation assessed the association between factors and subscale items. Parallel analysis showed there were seven meaningful underlying factors. All loading from rotated factor pattern (standardized regression coefficient) were positive for 50 items, with factor loadings ranging from 0.30 to 0. 99. There was positive correlation between seven factors ranging from .11 to .63. Scale reliability in this study was examined by estimating the Cronbach's alpha. The reliability coefficient for total scale was 0.93. The Cronbach's alpha for the subscales ranged from 0.81 to 0.97. Parallel analysis was a valuable method for determining the dimensionality of the PCOSQ-50 Scale. |