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Walter P. Vispoel; Hyeryung Lee; Hyeri Hong – Structural Equation Modeling: A Multidisciplinary Journal, 2024
We demonstrate how to analyze complete multivariate generalizability theory (GT) designs within structural equation modeling frameworks that encompass both individual subscale scores and composites formed from those scores. Results from numerous analyses of observed scores obtained from respondents who completed the recently updated form of the…
Descriptors: Structural Equation Models, Multivariate Analysis, Generalizability Theory, College Students
Alexander von Eye; Wolfgang Wiedermann – Merrill-Palmer Quarterly: A Peer Relations Journal, 2024
In this article, we pursue two points of discussion. First, a new illustration is presented of the person-oriented tenet according to which it can be hazardous to generalize to the individual results that are based on the analysis of aggregated data. Second, it is illustrated that taking into account serial dependence information can result in not…
Descriptors: Research Methodology, Generalizability Theory, Generalization, Multivariate Analysis
Walter P. Vispoel; Hyeri Hong; Hyeryung Lee – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…
Descriptors: Structural Equation Models, Self Concept Measures, Self Esteem, Generalizability Theory
Raymond, Mark R.; Jiang, Zhehan – Educational and Psychological Measurement, 2020
Conventional methods for evaluating the utility of subscores rely on traditional indices of reliability and on correlations among subscores. One limitation of correlational methods is that they do not explicitly consider variation in subtest means. An exception is an index of score profile reliability designated as [G], which quantifies the ratio…
Descriptors: Generalizability Theory, Multivariate Analysis, Scores, Reliability
Brennan, Robert L.; Kim, Stella Y.; Lee, Won-Chan – Educational and Psychological Measurement, 2022
This article extends multivariate generalizability theory (MGT) to tests with different random-effects designs for each level of a fixed facet. There are numerous situations in which the design of a test and the resulting data structure are not definable by a single design. One example is mixed-format tests that are composed of multiple-choice and…
Descriptors: Multivariate Analysis, Generalizability Theory, Multiple Choice Tests, Test Construction
Sung, Kyung Hee; Noh, Eun Hee; Chon, Kyong Hee – Asia Pacific Education Review, 2017
With increased use of constructed response items in large scale assessments, the cost of scoring has been a major consideration (Noh et al. in KICE Report RRE 2012-6, 2012; Wainer and Thissen in "Applied Measurement in Education" 6:103-118, 1993). In response to the scoring cost issues, various forms of automated system for scoring…
Descriptors: Automation, Scoring, Social Studies, Test Items
Han, Chao – Language Assessment Quarterly, 2016
As a property of test scores, reliability/dependability constitutes an important psychometric consideration, and it underpins the validity of measurement results. A review of interpreter certification performance tests (ICPTs) reveals that (a) although reliability/dependability checking has been recognized as an important concern, its theoretical…
Descriptors: Foreign Countries, Scores, English, Chinese