How data are collected and how they are analyzed is typically described in the literature, but how the data are encoded is often not described in detail. In this paper, we discuss how data typically gathered in PER are encoded and how the choice of encoding plays a role in data analysis. We describe the kinds of data that are found when using…

Certain planned-missing designs (e.g., simple-matrix sampling) cause zero covariances between variables not jointly observed, making it impossible to do analyses beyond mean estimations without specialized analyses. We tested a multigroup confirmatory factor analysis (CFA) approach by Cudeck (2000), which obtains a model-estimated…

The present study makes a situation analysis of graduate theses on values education published between 1999 and 2015 in Turkey. It has a qualitative research design, wherein data is collected through document analysis. The form developed for this purpose is comprised of nine sections, each of which focuses on a different aspect: universities,…

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…

Purpose: Public schools operate in a changing and dynamic environment evident in technological innovations, increased social heterogeneity and competition, all contributing to school leaders' uncertainty. Such changes inevitably influence schools' inner dynamic and may therefore undermine schools' organizational health. School leaders have a…

Background: Evaluation is a tool that can promote accountability and enhance organizational improvement. For these reasons funding entities from government to foundations are increasingly relying on program evaluation as a key instrument to determine effectiveness and hold recipient organizations accountable. What has ensued is an environment of…

We estimated the invariance of educational achievement (EA) and learning attitudes (LA) measures across nations. A multi-group confirmatory factor analysis was used to estimate the invariance of educational achievement and learning attitudes across 55 nations (Programme for International Student Assessment [PISA] 2006 data, N = 354,203). The…

In this article, new arguments and empirical evidence are presented justifying the use of standardized R- analysis (or equivalently Q- technique) in certain types of factor-analytic studies. (Editor)

The use of a strategy for determining the comparable common factors in a set of data are illustrated in this report. Both orthogonal and oblique derived solutions were obtained for each of several different initial factor methods. The results were compared across the various solutions and three types of factors were determined: comparable common…

This is one of a series of reports on the National Longitudinal Study of Mathematical Abilities (NLSMA). This report is a discussion of many of the programs from the SMSG Computer Program Library as it existed in June, 1972. Major programs included involve item analysis, attitude item analysis, scale scoring, correlation and t-test, stepwise…

Ability test scores were decomposed into district, class, and individual components. First-order factor analyses at the individual level showed the usual Primary Mental Abilities test pattern. Second-order analyses grouped the primary factors into one power and one speed factor. Decomposition of variances in multilevel educational research is…

The range of assessments made by teachers of the performance of their students in the Nuffield Advanced Biology project and the Nuffield Advanced Physical Science project was subjected to a factor analysis. (Author)

This article suggests the use of structural equation modeling in special education research, to analyze multivariate data from both nonexperimental and experimental research. It combines a structural model linking latent variables and a measurement model linking observed variables with latent variables. (Author/DB)

The general goal of this paper is to help researchers conduct appropriately designed goodness of fit studies for item response model applications. The specific purposes are to describe: (1) an up-to-date set of promising and useful methods for addressing a variety of goodness of fit questions; and (2) current research studies to advance this set…

The school district fiscal capacity data (1962 and 1967) of the National Finance Project were analyzed for psychometric adequacy and robustness of component composition. The procedures involved: (1) the computation of the Kaiser, Meyer, Olkin Measure of Sampling Adequacy, (2) inspection of the off-diagonal elements of the antiimage covariance…