The alternative human capital evaluation method proposed is implemented via two methods: principal component analysis and discriminant analysis. The first method classifies the research laboratory activities in homogeneous clusters, while the second method standardizes their scores. The proposed method is sitting in the activity-based management…

Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students' evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET…

Pedhazur and Tetenbaum speculated that factor structures from self-ratings of the Bem Sex-Role Inventory (BSRI) personality traits would be different from factor structures from desirability ratings of the same traits. To explore this hypothesis, both desirability ratings of BSRI traits (both "for a man" and "for a woman") and…

Multidimensional scaling (MDS) and its potential use for research and evaluation in health-related professions are discussed. Useful data types, interpretation of results, and various applications of MDS are presented. MDS is less restrictive than factor analysis since it does not assume a linear relationship between the objects/variables of…

Data from student evaluations of a master's degree program (n=139, 45 percent response) are used to demonstrate four techniques: factor, correlational, discriminant, and multiple regression analysis. Their usefulness in identifying causal factors related to program quality is discussed. (SK)

A discriminant analysis was performed to ascertain what psycho-educational assessment variables made the greatest predictive contribution to the classification of high school students referred for Child Study Team evaluation. Thirty-nine students classified as learning disabled were compared to 47 classified as ineligible for special services.…