With a growing interest in research on educational processes, there is a need to overview suitable latent variable models for students' learning experiences in real-time. This tutorial provides an introduction to intraindividual (multilevel) structural equation models (ISEM) for the analysis of process data (e.g. intensive longitudinal,…

American Educational Research Association (AERA) standards stipulate that researchers show evidence of the internal structure of instruments. Confirmatory factor analysis (CFA) is one structural equation modeling procedure designed to assess construct validity of assessments that has broad applicability for counselors interested in instrument…

Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…

This study examines the mediating role of intercultural wonderment in relation to students' development of a global perspective. We utilize both confirmatory factor analysis and structural equation modeling to validate the intercultural wonderment construct and test the direct and indirect effects of the structural pathways in the model,…

Many classroom climate studies suffer from 2 critical problems: They (a) treat climate as a student-level (L1) variable in single-level analyses instead of a classroom-level (L2) construct in multilevel analyses; and (b) rely on manifest-variable models rather than on latent-variable models that control measurement error at L1 and L2, and sampling…

Higher professional education in Europe has changed from teaching-only institutes to hybrids of teaching and research. The purpose of this study was to examine factors that influence the judgements of lecturers about new organisational goals and perceptions of their new research-related competencies. Lecturers' judgements of new organisational…

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.…

This paper presents an evaluation study of an innovative and theory-based initial teacher education course entitled Learning Study, the aim of which is to develop the instructional design and teaching competency of pre-service teachers in Hong Kong. The Learning Study course is offered to all second year students as part of the Bachelor of…

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…

It is only relatively recently that empirical research has begun to emerge that has sought to further understand the factors that may contribute to the educational inequities between Indigenous Australian and non-Indigenous Australian students. Although it has been argued that research has typically employed small, unrepresentative case studies…

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)

Multivariate analytic techniques offer useful research methods that permit the experiential educator to test theoretical models, analyze the effects of several variables acting together, and predict the effects of one set of variables upon another set of variables. Several of these techniques are discussed, including analysis of variance, multiple…