We describe a data mining pipeline to convert data from educational systems into knowledge component (KC) models. In contrast to other approaches, our approach employs and compares multiple model search methodologies (e.g., sparse factor analysis, covariance clustering) within a single pipeline. In this preliminary work, we describe our approach's…

This paper analyzes the research performance evolution of a scientific institute, from its genesis through various stages of development. The main aim is to obtain, and visually represent, bibliometric evidence of the correlation of organizational changes on the development of its scientific performance; particularly, structural and leadership…

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

Doctoral training is strongly focused on honing research skills at the expense of developing teaching competency. As a result, emerging academics are unprepared for the pedagogical requirements of their early-career academic roles. Employing an action research approach, this study investigates the effectiveness of a competency-based teaching…

In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…

This article reviews the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) in model selection and the appraisal of psychological theory. The focus is on latent variable models, given their growing use in theory testing and construction. Theoretical statistical results in regression are discussed, and more important…

There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…

A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…

In his introduction to this special issue, Roger Millsap has given an excellent summary of its contents. This eases our task considerably. In what follows, we first present some general observations about growth curve modeling of longitudinal data. Among other things, we will address the criticism that the popular latent growth curve model may…

Guilford has argued that factor analysis is not adequate for demonstrating meaningful higher-order factors in his structure of Intellect (SOI) model. Study investigates the validity of this claim. (RB)

The authors center their presentation of material around a conceptual understanding of psychometric issues, such as validity and reliability, and on purpose rather than procedure, the "why" rather than the "how to." Their goal is to introduce psychometric principles at a level that is deeper and more focused than found in introductory…

This factor analytic study of the cosmopolitan-local construct was designed to overcome criticism of earlier research on the construct's dimensionality. Based upon the data from this study, commitment to specialized role skills appears to take on three different role orientations rather than the single orientation suggested by the literature.…

Discusses articles by Richard Rystrom in the Winter and Spring 1970 issues of the Journal of Reading Behavior. Questions the validation procedures and statistical evidence behind the author's model of reading comprehension. Tables and bibliography. (RW)

Goal orientation research has developed two branches. One branch uses a two-factor dispositional model. The other branch uses a three-factor domain-specific model. The present multiwave study examines dispositional goal orientation constructs through both two and three-factor models using repeated-measure confirmatory factor analysis. Results…

Authors attempted to measure a few key variables associated with the Porter-Lawler (1968) expectancy model in order to determine its validity. (Author/RK)