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Chunhua Cao; Xinya Liang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Cross-loadings are common in multiple-factor confirmatory factor analysis (CFA) but often ignored in measurement invariance testing. This study examined the impact of ignoring cross-loadings on the sensitivity of fit measures (CFI, RMSEA, SRMR, SRMRu, AIC, BIC, SaBIC, LRT) to measurement noninvariance. The manipulated design factors included the…
Descriptors: Goodness of Fit, Error of Measurement, Sample Size, Factor Analysis
Xijuan Zhang; Hao Wu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…
Descriptors: Structural Equation Models, Goodness of Fit, Robustness (Statistics), Factor Structure
Hyunjung Lee; Heining Cham – Educational and Psychological Measurement, 2024
Determining the number of factors in exploratory factor analysis (EFA) is crucial because it affects the rest of the analysis and the conclusions of the study. Researchers have developed various methods for deciding the number of factors to retain in EFA, but this remains one of the most difficult decisions in the EFA. The purpose of this study is…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Goodness of Fit
Mohammad Mehdi Latifi; Dariush Tahmasebi Aghbelaghi; Sajad Khani Pordanjani – European Journal of Education, 2025
The present study sought to assess the psychometric properties of the Iranian adaptation of the Vietnam Teacher Resilience Scale for Asia (VITRS), referred to as the Iranian Teachers' Resilience Scale (ITRS) and to examine its measurement invariance across middle and high school teachers in Iran. In total, 700 participants completed the…
Descriptors: Resilience (Psychology), Error of Measurement, Factor Analysis, Teacher Attitudes
Cristian Zanon; Nan Zhao; Nursel Topkaya; Ertugrul Sahin; David L. Vogel; Melissa M. Ertl; Samineh Sanatkar; Hsin-Ya Liao; Mark Rubin; Makilim N. Baptista; Winnie W. S. Mak; Fatima Rashed Al-Darmaki; Georg Schomerus; Ying-Fen Wang; Dalia Nasvytiene – International Journal of Testing, 2025
Examinations of the internal structure of the Depression, Anxiety, and Stress Scale-21 (DASS-21) have yielded inconsistent conclusions within and across cultural contexts. This study examined the dimensionality and reliability of the DASS-21 across three theoretically plausible factor structures (i.e., unidimensional, oblique three-factor, and…
Descriptors: Anxiety, Depression (Psychology), Psychometrics, Cultural Context
Yanjing Cao; Chenchen Xu; Shan Lu; Qi Li; Jing Xiao – Psychology in the Schools, 2025
The patient health questionnaire-9 (PHQ-9) is widely utilized in assessing individuals' depression levels. Nevertheless, research regarding its factor structure and measurement invariance remains inadequate. The aim of this study was to delve into the factor structure of the PHQ-9 and to further investigate its measurement invariance across gender…
Descriptors: Factor Structure, Error of Measurement, Factor Analysis, Age Differences
Emily A. Brown – ProQuest LLC, 2024
Previous research has been limited regarding the measurement of computational thinking, particularly as a learning progression in K-12. This study proposes to apply a multidimensional item response theory (IRT) model to a newly developed measure of computational thinking utilizing both selected response and open-ended polytomous items to establish…
Descriptors: Models, Computation, Thinking Skills, Item Response Theory
Lee, Bitna; Sohn, Wonsook – Educational and Psychological Measurement, 2022
A Monte Carlo study was conducted to compare the performance of a level-specific (LS) fit evaluation with that of a simultaneous (SI) fit evaluation in multilevel confirmatory factor analysis (MCFA) models. We extended previous studies by examining their performance under MCFA models with different factor structures across levels. In addition,…
Descriptors: Goodness of Fit, Factor Structure, Monte Carlo Methods, Factor Analysis
Montoya, Amanda K.; Edwards, Michael C. – Educational and Psychological Measurement, 2021
Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the…
Descriptors: Goodness of Fit, Factor Analysis, Cutting Scores, Correlation
Kapoor, Hansika; Reiter-Palmon, Roni; Kaufman, James C. – Journal of Psychoeducational Assessment, 2021
The Kaufman Domains of Creativity Scale (K-DOCS; Kaufman, J. C. (2012). Counting the muses: Development of the Kaufman domains of creativity scale (K-DOCS). Psychology of Aesthetics, Creativity, and the Arts, 6(4), 298-308. doi:10.1037/a0029751) is a self-report assessment of five creative domains: Everyday, Scholarly, Performance, Scientific, and…
Descriptors: Psychometrics, Creativity Tests, Factor Structure, Factor Analysis
Jing Sun; Laura M. Justice; Ye Shen; Hui Jiang; Hugo Gonzalez Villasanti; Mary Beth Schmitt – Grantee Submission, 2024
Purpose: The purpose of this study was to examine the measurement structure of the linguistic features of speech-language pathologists' (SLPs) talk during business-as-usual therapy sessions in the public schools, and to test the longitudinal stability of a theorized dimensional structure consisting of quantity, grammatical complexity, and lexical…
Descriptors: Speech Language Pathology, Allied Health Personnel, Speech Therapy, Longitudinal Studies
Schmitz, Eva A.; Salemink, Elske; Wiers, Reinout W.; Jansen, Brenda R. J. – Journal of Psychoeducational Assessment, 2022
The Abbreviated Math Anxiety Scale (AMAS) is commonly used to compare groups on math anxiety. Group comparisons should however be preceded by a demonstration of metric and scalar measurement invariance, which is currently only available for undergraduate students in the USA. This study tested for metric and scalar measurement invariance of AMAS…
Descriptors: Foreign Countries, Secondary School Students, College Students, Mathematics Anxiety
Erdem, Devrim – Eurasian Journal of Educational Research, 2020
Purpose: This study reports on the development, validation and measurement invariance of the Multicultural Competency Scale (MCS) for pre-service teachers. Research Methods: Data from 640 pre-service teachers were collected for two studies. After data screening procedures 628 responses were left. The data were divided into two sets for exploratory…
Descriptors: Rating Scales, Multicultural Education, Cultural Awareness, Teacher Competencies
Lee, Hyeseong; Gentry, Marcia; Maeda, Yukiko – Gifted Child Quarterly, 2022
The underrepresentation of students from low-income families and of culturally diverse students is a longstanding and pervasive problem in the field of gifted education. Teachers play an important role in equitably identifying and serving students in gifted education; therefore, the Having Opportunities Promotes Excellence (HOPE) Scale was used in…
Descriptors: Foreign Countries, Low Income Students, Academically Gifted, Talent Identification
Gygi, Jasmin T.; Ledermann, Thomas; Grob, Alexander; Rudaz, Myriam; Hagmann-von Arx, Priska – Journal of Psychoeducational Assessment, 2019
The Reynolds Intellectual Assessment Scales (RIAS) measures general intelligence and its two main components, verbal and nonverbal intelligence, each comprising of two subtests. The RIAS has been recently standardized in Denmark, Germany, Switzerland, and Spain. Using the standardization samples of the U.S. (n = 2,438), Danish (n = 983), German (n…
Descriptors: Factor Analysis, Factor Structure, Intelligence Tests, Verbal Ability
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