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…

Intersectional approaches have become increasingly important for explaining educational inequalities because they help to improve our understanding of how individual experiences are shaped by simultaneous membership in multiple social categories that are associated with interconnected systems of power, privilege, and oppression. For years, there…

Multivariate analysis of variance (MANOVA) is a statistical method used to examine group differences on multiple outcomes. This article reports results of a review of MANOVA in gifted education journals between 2011 and 2017 (N = 56). Findings suggest a number of conceptual and procedural misunderstandings about the nature of MANOVA and its…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

Technological Pedagogical Content Knowledge, one of the frameworks proposed in order to popularize the use of technology in a classroom environment, has been customized and has taken the form of Web Pedagogical Content Knowledge. The Relational Screening Model was used in this study. It aims to determine whether a profile of preservice teachers…

Adelman (2006) observed that a large quantity of research on retention is "institution-specific or use institutional characteristics as independent variables" (p. 81). However, he observed that over 60% of the students he studied attended multiple institutions making the calculation of institutional effects highly problematic. He argued…

Objective: This study is centered on interviewing techniques with alleged child sexual abuse victims who do and do not disclose sexual abuse. Method: Ninety randomly selected videotapes are reviewed, and the interviewing techniques are recorded on a 69-item Child Sexual Abuse Interviewing Skills Instrument. Results: The nondisclosure children are…

This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…

Studied problems in reporting the use of predictive and descriptive discriminant analyses through an examination of 20 such analyses published from 1998 to 2000. Findings show that results were often very mixed and study purposes were typically not very explicit. (SLD)

THREE COLLEGES JOINED IN A STUDY OF STUDENT WITHDRAWAL. THE HYPOTHESIS OF THE STUDY PROPOSED THAT SIGNIFICANT DIFFERENCES EXIST AMONG STUDENTS IN THEIR LEVELS OF COMMITMENT TO HIGHER EDUCATION AS THE MAJOR OPPORTUNITY OF POST-HIGH-SCHOOL YEARS. STUDENTS WITH HIGH LEVELS OF COMMITMENT FACE PROBLEMS AND EITHER SOLVE OR TOLERATE THEM, WHILE THOSE…

The process of discriminant analysis is reviewed in four different aspects: focusing on formulations, interpretations, and uses of discrimination, estimation and classification. Other issues, problems, and recent developments in discriminant analysis are also reviewed. (Author/DEP)

Presents maximum-likelihood confirmatory factor analysis (CFA) as a means for interpreting complete and incomplete multitrait-multimethod designs. CFA was applied to four data sets representing four designs and to an artificial data set to demonstrate its use in test validation designs to assess discriminant, convergent, and construct validity.…

This paper outlines two types of discriminant analysis, predictive discriminant analysis (PDA) and descriptive discriminant analysis (DDA). Important differences between PDA and DDA are introduced and discussed using a heuristic data set, specifically indicating the portions of the Statistical Package for the Social Sciences (SPSS) output relevant…

A subset of a real data set was used to illustrate an ad hoc analysis with missing data on multiple response variables. This strategy was initiated with a complete-case analysis to determine some variables that may be deleted with no loss in effects of interest. (SLD)

This article describes the theoretical distribution of optima arising from two-category univariable optimal discriminant analysis (UniODA) of continuous random data for a one-tailed (directional) hypothesis. Directional UniODA is illustrated through an investigation of the relationship between depression and brain monoamine turnover. (SLD)