Based upon careful inspection of the internal consistency reliability coefficients, however, it appears that the EPOMS might benefit from a carefully planned revision.
Exploratory factor analysis: Using the previously described merged EPOMS data set (n = 1760), a principal components factor analysis of the 30 EPOMS items specifying six factors and employing promax rotation was conducted.
The principal components factor correlation matrix for the six EPOMS factors as well as the CFA inter-factor correlations are shown in Table 3.
Confirmatory Factor Analysis: A confirmatory factory analysis (CFA) employing SAS CALIS procedures was conducted using the EPOMS dataset (n=1760).
Internal consistency coefficients for the EPOMS computed on the larger sample of 1760 participants are as follows: Tension, .
The principal components analyses were conducted in order to determine item-factor loadings and to verify the nature of the POMS and EPOMS factor structure.
Coefficient alpha values for the EPOMS subscales ranged from .
Jacobs, Bourgeois, LeUnes, and Meyers (1996), using a sample of 121 men and 73 women undergraduate volunteers, report significant relationships between most of the EPOMS scales and anxiety as measured by both the State Competitive Anxiety Scale (SCAT; Martens, 1977) and the Competition State Anxiety Inventory (CSAI-2; Martens, Burton, Vealey, Bump, & Smith, 1990).
2000) is a modification of the 30-item EPOMS scale.