Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…

Since research integrity is not external to research but an integral part of it, it should be integrated into research training. However, several hindrances regarding contemporary research integrity education exist. To address them, we have developed a competency profile for teaching and learning research integrity based on four assumptions: 1) to…

Weiss, Keith, Zhu, and Chen (2013a) and Weiss, Keith, Zhu, and Chen (2013b), this issue, report examinations of the factor structure of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV), respectively; comparing Wechsler Hierarchical Model (W-HM) and…

We illustrate the idiographic/nomothetic debate by comparing 3 approaches to using daily self-report data on affect for predicting relationship quality and breakup. The 3 approaches included (a) the first day in the series of daily data; (b) the mean and variability of the daily series; and (c) parameters from dynamic factor analysis, a…

This study investigated the current state of writing instruction in science classes (Grades 6-12). A random sample of certified science teachers from the United States (N = 287) was electronically surveyed. Participants reported on their purposes for teaching writing, the writing assignments most often given to students, use of evidence-based…

Latent state-trait (LST) analysis is frequently applied in psychological research to determine the degree to which observed scores reflect stable person-specific effects, effects of situations and/or person-situation interactions, and random measurement error. Most LST applications use multiple repeatedly measured observed variables as indicators…

Seeking to assess the analytical rigor of empirical research in management education, this article reviews the use of multivariate statistical techniques in 85 studies of online and blended management education over the past decade and compares them with prescriptions offered by both the organization studies and educational research communities.…

Linear factor analysis (FA) models can be reliably tested using test statistics based on residual covariances. We show that the same statistics can be used to reliably test the fit of item response theory (IRT) models for ordinal data (under some conditions). Hence, the fit of an FA model and of an IRT model to the same data set can now be…

CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…

This paper analyzes the ideological orientations of Canadian university professors based on a unique 2000 study of a representative sample of Canadian academics (n=3,318). After summarizing methodological problems with extant research on this subject, and tentatively comparing the political views of Canadian and American academics, the paper…

When comparing latent variables among groups, it is important to first establish the equivalence or invariance of the measurement model across groups. Confirmatory factor analysis (CFA) is a commonly used methodological approach to examine measurement equivalence/invariance (ME/I). Within the CFA framework, the chi-square goodness-of-fit test and…

This causal-comparative study investigates the differences in the End of Course Examination Program (EOCEP) test scores of ninth grade students in English I and Algebra I/Math for the technologies, as influenced by schedules used in South Carolina public high schools during the 2005-2006 academic year. Framing this study is the previous…

A common question in test evaluation is whether an a priori assignment of items to subtests is supported by empirical data. If the analysis results indicate the assignment of items to subtests under study is not supported by data, the assignment is often adjusted. In this study the authors compare two methods on the quality of their suggestions to…

The purpose of this dissertation is to characterize and analyze the specific implementation decisions made by teachers in Dominican primary schools. A new curriculum was developed in 1995 as part of a Ten-Year Plan to reform the educational system. Analyzing what teachers do and the factors that shape their instruction is relevant for improving…

Studies that examine the impacts of education interventions on key student, teacher, and school outcomes typically collect data on large samples and on many outcomes. In analyzing these data, researchers typically conduct multiple hypothesis tests to address key impact evaluation questions. Tests are conducted to assess intervention effects for…