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Walter P. Vispoel; Hyeri Hong; Hyeryung Lee; Terrence D. Jorgensen – Applied Measurement in Education, 2023
We illustrate how to analyze complete generalizability theory (GT) designs using structural equation modeling software ("lavaan" in R), compare results to those obtained from numerous ANOVA-based packages, and apply those results in practical ways using data obtained from a large sample of respondents, who completed the Self-Perception…
Descriptors: Generalizability Theory, Design, Structural Equation Models, Error of Measurement
Morley, Alicen; Nissen, Jayson M.; Van Dusen, Ben – Physical Review Physics Education Research, 2023
Instructors and researchers often use research-based assessments to identify the impact of instructional activities. These investigations often focus on issues of diversity, equity, and inclusions by comparing outcomes across social identity groups (e.g., gender, race, and class). Comparisons across groups assume the assessments measure the same…
Descriptors: Error of Measurement, Racial Differences, Gender Differences, Test Validity
Sekercioglu, Güçlü – International Online Journal of Education and Teaching, 2018
An empirical evidence for independent samples of a population regarding measurement invariance implies that factor structure of a measurement tool is equal across these samples; in other words, it measures the intended psychological trait within the same structure. In this case, the evidence of construct validity would be strengthened within the…
Descriptors: Factor Analysis, Error of Measurement, Factor Structure, Construct Validity
Showers, Anne H.; Kinsman, Jeremy W. – Learning Disability Quarterly, 2017
Using structural equation modeling, the study tested a theoretical model linking family background, student attributes, and college success. The sample consisted of 346 students with learning disabilities (LDs) who enrolled in college between 2004 and 2012. The data were taken from the public files of the Education Longitudinal Study: 2002. The…
Descriptors: Learning Disabilities, College Students, Structural Equation Models, Success
Politis, John; Politis, Denis – Electronic Journal of e-Learning, 2016
Online learning is becoming more attractive to perspective students because it offers them greater accessibility, convenience and flexibility to study at a reduced cost. While these benefits may attract prospective learners to embark on an online learning environment there remains little empirical evidence relating the skills and traits of…
Descriptors: Electronic Learning, Synchronous Communication, Integrated Learning Systems, Online Courses
Battauz, Michela; Bellio, Ruggero – Psychometrika, 2011
This paper proposes a structural analysis for generalized linear models when some explanatory variables are measured with error and the measurement error variance is a function of the true variables. The focus is on latent variables investigated on the basis of questionnaires and estimated using item response theory models. Latent variable…
Descriptors: Error of Measurement, Structural Equation Models, Computation, Item Response Theory
Ziegler, Matthias; Buehner, Markus – Educational and Psychological Measurement, 2009
The impact of socially desirable responding or faking on noncognitive assessments remains an issue of strong debate. One of the main reasons for the controversy is the lack of a statistical method to model such response sets. This article introduces a new way to model faking based on the assumption that faking occurs due to an interaction between…
Descriptors: Response Style (Tests), Models, Control Groups, Structural Equation Models