2 resultados para principle component analysis
em Worcester Research and Publications - Worcester Research and Publications - UK
Resumo:
This research investigates changes in entrepreneurial drive (ED) between each of the three-year levels of students at an undergraduate UK university business school in order to test this measurement construct within a European context. The research adopted a quantitative approach to determine whether the ED measurement instrument could identify differences in the students’ ED dimensions and the overall ED across the three different years of undergraduate study. The data was subjected to principle component analysis to create factor scores for the ED components and the multivariate analysis of variance tests to determine whether different year groups exhibited different levels of ED. The research found that the total ED score increased at each successive year level. In addition, the achievement motivation, proactive disposition, and self-efficacy factors (dimensions) all increased during the university experience. As such, this research confirms the value of the ED measurement instrument in assessing the development of entrepreneurial drive within a European higher education setting.
Resumo:
Background The HCL-32 is a widely-used screening questionnaire for hypomania. We aimed to use a Rasch analysis approach to (i) evaluate the measurement properties, principally unidimensionality, of the HCL-32, and (ii) generate a score table to allow researchers to convert raw HCL-32 scores into an interval-level measurement which will be more appropriate for statistical analyses. Methods Subjects were part of the Bipolar Disorder Research Network (BDRN) study with DSM-IV bipolar disorder (n=389). Multidimensionality was assessed using the Rasch fit statistics and principle components analysis of the residuals (PCA). Item invariance (differential item functioning, DIF) was tested for gender, bipolar diagnosis and current mental state. Item estimates and reliabilities were calculated. Results Three items (29, 30, 32) had unacceptable fit to the Rasch unidimensional model. Item 14 displayed significant DIF for gender and items 8 and 17 for current mental state. Item estimates confirmed that not all items measure hypomania equally. Limitations This sample was recruited as part of a large ongoing genetic epidemiology study of bipolar disorder and may not be fully representative of the broader clinical population of individuals with bipolar disorder. Conclusion The HCL-32 is unidimensional in practice, but measurements may be further strengthened by the removal of four items. Re-scored linear measurements may be more appropriate for clinical research.