Multilevel models are often used to evaluate hypotheses about relations among constructs when data are nested within clusters (Raudenbush & Bryk, 2002), although alternative approaches are available when analyzing nested data (Binder & Roberts, 2003; Sterba, 2009). The overarching goal of this article is to suggest when it is appropriate…

This article argues that strong interrelations between methodological and theoretical advances exist. Progress in, especially comparative, methods may have important impacts on theory evaluation. By using the example of the "Varieties of Capitalism" approach and an international comparison of higher education systems, it can be shown…

Having a well-founded insight into the characteristics of teachers inquiry-based attitude (IA) supports operationalising IA as a learning goal in teacher education (TE). The aim of this study is to refine the notion of IA from an ill-defined global concept into something with reliable and valid characteristics. To do so, data were gathered on…

Marketing graduates are ultimately expected to perform in managerial roles, yet limited course work is devoted to leadership training for marketing management. In the capstone marketing course, group projects with partner organizations can serve as an opportunity for student leadership development. Marketing students working in groups on…

The cross-cultural generalizability of vocational interest structures has received significant attention in recent years. This article adds to this research in four respects. First, data from a context that has not previously been investigated (Germany) was analyzed. Second, students at different stages of their educational career were examined.…

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…

The objectives of this study were (a) to examine the dimensionality of the Thorndike Dimensions of Temperament (TDOT) when administered in a single stimulus form; and (b) to test a set of hypotheses relative to the constructs measured in the TDOT. (Author/RK)

Two forms of Holland's Hexagon Model (circular order and circumplex structure) are proposed and evaluated to demonstrate a randomization test of hypothesized order relations and confirmatory factor analysis. The models and methods are illustrated with correlation matrices based on the Unisex Edition of the ACT Interest Inventory. (Author/SK)

Statistical methods, called latent variable models, have been developed to provide rigorous tests of theories involving unobserved variables. This paper describes the major types of latent variable models, shows how they can be applied in educational research, and gives representative examples of their use from the literature. (Author/BW)

Either Bartlett's chi-square test of sphericity or Steiger's chi-square test can be used to test the significance of a correlation matrix to determine the appropriateness of factor analysis. They were evaluated using computer-generated correlation matrices. Steiger's test is recommended due to its increased power and computational simplicity.…

Considers the study of similarities and differences in factor structures between different groups. (AG)

The "factor" analyses published by Schultz, Kaye, and Hoyer (1980) confused component and factor analysis and led to unwarranted conclusions. The principal factors method yields two factors which support the a priori expectation of a difference between intelligence tasks and spontaneous flexibility tasks. (Author/RD)

This study developed and investigated an empirical sampling distribution of the congruence coefficient. The effects of sample size, number of variables, and population value of the congruence coefficient on the sampling distribution of the congruence coefficient were examined. Sample data were generated on the basis of the common factor model and…

Remarkability is introduced as a quantifiable attribute of given data and as a basis upon which one may rationally judge its scientific value. Applications of remarkability theory to various research and statistical problems and procedures are discussed. (DG)

This research was designed to measure how students enrolled in introductory marketing courses perceived mass section multimedia lecture classes in comparison with other commonly utilized teaching formats. (Author/RK)