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Abdolvahab Khademi; Craig S. Wells; Maria Elena Oliveri; Ester Villalonga-Olives – SAGE Open, 2023
The most common effect size when using a multiple-group confirmatory factor analysis approach to measurement invariance is [delta]CFI and [delta]TLI with a cutoff value of 0.01. However, this recommended cutoff value may not be ubiquitously appropriate and may be of limited application for some tests (e.g., measures using dichotomous items or…
Descriptors: Factor Analysis, Factor Structure, Error of Measurement, Test Items
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Zhong Jian Chee; Anke M. Scheeren; Marieke de Vries – Autism: The International Journal of Research and Practice, 2024
Despite several psychometric advantages over the 50-item Autism Spectrum Quotient, an instrument used to measure autistic traits, the abridged AQ-28 and its cross-cultural validity have not been examined as extensively. Therefore, this study aimed to examine the factor structure and measurement invariance of the AQ-28 in 818 Dutch (M[subscript…
Descriptors: Autism Spectrum Disorders, Questionnaires, Factor Structure, Factor Analysis
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Willse, John T. – Measurement and Evaluation in Counseling and Development, 2017
This article provides a brief introduction to the Rasch model. Motivation for using Rasch analyses is provided. Important Rasch model concepts and key aspects of result interpretation are introduced, with major points reinforced using a simulation demonstration. Concrete guidelines are provided regarding sample size and the evaluation of items.
Descriptors: Item Response Theory, Test Results, Test Interpretation, Simulation
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Hidalgo, Ma Dolores; Benítez, Isabel; Padilla, Jose-Luis; Gómez-Benito, Juana – Sociological Methods & Research, 2017
The growing use of scales in survey questionnaires warrants the need to address how does polytomous differential item functioning (DIF) affect observed scale score comparisons. The aim of this study is to investigate the impact of DIF on the type I error and effect size of the independent samples t-test on the observed total scale scores. A…
Descriptors: Test Items, Test Bias, Item Response Theory, Surveys
Divgi, D. R. – 1980
Because it is difficult to ascertain the dimensionality of a test composed of binary items through the use of factor analysis alone, a method is proposed that combines item characteristic curve (ICC) theory with factor analysis. Factor structure of tetrachoric correlations is distorted by non-normal distribution of ability. Item characteristics…
Descriptors: Achievement Tests, Error of Measurement, Factor Analysis, Factor Structure
deGruijter, Dato N. M. – 1980
The setting of standards involves subjective value judgments. The inherent arbitrariness of specific standards has been severely criticized by Glass. His antagonists agree that standard setting is a judgmental task but they have pointed out that arbitrariness in the positive sense of serious judgmental decisions is unavoidable. Further, small…
Descriptors: Cutting Scores, Difficulty Level, Error of Measurement, Mastery Tests
Gustafsson, Jan-Eric – 1977
The Rasch model for test analysis is described and compared with two-parameter and three-parameter latent-trait models. Conditional maximum likelihood equations for estimating item parameters are derived, and estimates of person parameters are described together with their confidence intervals. Goodness of fit tests are discussed, including a…
Descriptors: Adaptive Testing, Computer Programs, Equated Scores, Error of Measurement
Haladyna, Tom; Roid, Gale – 1976
Three approaches to the construction of achievement tests are compared: construct, operational, and empirical. The construct approach is based upon classical test theory and measures an abstract representation of the instructional objectives. The operational approach specifies instructional intent through instructional objectives, facet design,…
Descriptors: Academic Achievement, Achievement Tests, Career Development, Comparative Analysis