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Employing a structural equation model to evaluate a measurement scale can be challenging, especially for a multidimensional scale that contains many items. We describe two issues that can contribute to the poor fit of such models: the statistical power associated with the test of a large measurement scale; and the degree of correlation between items and factors within the scale. These issues are not well understood, so our purpose is to explain them at an applied level, clarify their practical implications for tests of measurement scales and other large structural equation models, and discuss potential strategies for addressing them.

The purpose of this study was to determine the impact of support and commitment on job performance and turnover intentions of professionals working in a team environment. As hypothesized, the results indicated that job performance was influenced positively by both professional and team commitment as well as by perceived organizational and team support. Intention to quit the organization went down as organizational support and commitment went up, and intention to leave the profession similarly was related to team support and commitment Interestingly, professional commitment had a deleterious effect on intention to quit the organization, whereas organizational support had a positive effect on professional commitment.