In order to fill the research gap in literature on pharmaceutical project management and to have an in-depth analysis of the reasons that delay the projects, this study took the help of statistical
factor analysis including both exploratory and confirmatory factor analyses.
In the part of
factor analysis, questions in questionnaire were ranked in five groups of family, individual, social, cultural, and economical by using of exploratory
factor analysis and relations among questions of questionnaire were also examined.
However, the results of the confirmatory
factor analysis performed in the same study showed that the five-factor structure of the scale was confirmed.
Principal components
factor analysis involving the EPOMS resulted in six factors: Tension, Depression, Anger, Vigor, Fatigue, and a weak three-item Confusion scale.
Results of the multigroup confirmatory
factor analysis indicated that the factor structure of the single-factor model was not invariant across gender [[chi square](8, N = 149) = 33.
Factor analysis of metabolic syndrome using direct measurement of insulin resistance in Chinese with different degrees of glucose tolerance.
Srivastava (1993) got similar results from
factor analysis of data on ORS of about 400 executives in a public sector company.
A confirmatory
factor analysis model was specified, identified, and tested for fit.
Factor analysis in the development and refinement of clinical assessment instruments.
The number of factors identified by the
factor analysis indicates the number of subscales on the instrument.
According to the results of a risk
factor analysis of people living with HIV-1/AIDS reported to the Taiwan CDC, the proportion of IDUs increased from 1.
This necessitated an exploratory approach to the
factor analysis in order to identify composite items.
