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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
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Daniel McNeish; Melissa G. Wolf – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Despite the popularity of traditional fit index cutoffs like RMSEA [less than or equal to] 0.06 and CFI [greater than or equal to] 0.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics…
Descriptors: Structural Equation Models, Cutting Scores, Generalizability Theory, Error of Measurement
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Bang Quan Zheng; Peter M. Bentler – Structural Equation Modeling: A Multidisciplinary Journal, 2025
This paper aims to advocate for a balanced approach to model fit evaluation in structural equation modeling (SEM). The ongoing debate surrounding chi-square test statistics and fit indices has been characterized by ambiguity and controversy. Despite the acknowledged limitations of relying solely on the chi-square test, its careful application can…
Descriptors: Monte Carlo Methods, Structural Equation Models, Goodness of Fit, Robustness (Statistics)
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Anders Holm; Anders Hjorth-Trolle; Robert Andersen – Sociological Methods & Research, 2025
Lagged dependent variables (LDVs) are often used as predictors in ordinary least squares (OLS) models in the social sciences. Although several estimators are commonly employed, little is known about their relative merits in the presence of classical measurement error and different longitudinal processes. We assess the performance of four commonly…
Descriptors: Elementary Education, Scores, Error of Measurement, Predictor Variables
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D. Steger; S. Weiss; O. Wilhelm – Creativity Research Journal, 2023
Creativity can be measured with a variety of methods including self-reports, others reports, and ability tests. While typical self-reports are best understood as weak proxies of creativity, biographical reports that assess previous creative activities seem more promising. Drawbacks of such measures -- including skewed item distributions, a lack of…
Descriptors: Creativity, Creativity Tests, Test Construction, Algorithms
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Karatas, Erdem; Özdemir, Murat – Journal of Psychoeducational Assessment, 2023
This study aimed to adapt Teacher Academic Optimism Scale--Secondary (TAOS-S) to Turkish culture. A total of 453 public school teachers in Turkey participated in the study. We examined the validity, reliability, and measurement invariance of the scale across school levels. The results indicated good internal consistency of the TAOS, suggesting a…
Descriptors: Foreign Countries, Likert Scales, Teacher Attitudes, Public School Teachers
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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
Beula M. Magimairaj; Philip Capin; Sandra L. Gillam; Sharon Vaughn; Greg Roberts; Anna-Maria Fall; Ronald B. Gillam – Grantee Submission, 2022
Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…
Descriptors: Computer Assisted Testing, Language Tests, Story Telling, Language Impairments
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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
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van der Lans, Rikkert M.; Maulana, Ridwan; Helms-Lorenz, Michelle; Fernández-García, Carmen-María; Chun, Seyeoung; de Jager, Thelma; Irnidayanti, Yulia; Inda-Caro, Mercedes; Lee, Okhwa; Coetzee, Thys; Fadhilah, Nurul; Jeon, Meae; Moorer, Peter – SAGE Open, 2021
This study examines measurement invariance of student perceptions of teaching quality collected in five countries: Indonesia (n students = 6,331), the Netherlands (n students = 6,738), South Africa (n students = 3,422), South Korea (n students = 6,997) and Spain (n students = 4,676). The administered questionnaire was the My Teacher Questionnaire…
Descriptors: Foreign Countries, Student Attitudes, Student Evaluation of Teacher Performance, Teacher Effectiveness
Beula M. Magimairaj; Philip Capin; Sandra L. Gillam; Sharon Vaughn; Greg Roberts; Anna-Maria Fall; Ronald B. Gillam – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Our aim was to evaluate the psychometric properties of the online administered format of the Test of Narrative Language--Second Edition (TNL-2; Gillam & Pearson, 2017), given the importance of assessing children's narrative ability and considerable absence of psychometric studies of spoken language assessments administered online.…
Descriptors: Computer Assisted Testing, Language Tests, Story Telling, Language Impairments
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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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Sengul Avsar, Asiye; Tavsancil, Ezel – Educational Sciences: Theory and Practice, 2017
This study analysed polytomous items' psychometric properties according to nonparametric item response theory (NIRT) models. Thus, simulated datasets--three different test lengths (10, 20 and 30 items), three sample distributions (normal, right and left skewed) and three samples sizes (100, 250 and 500)--were generated by conducting 20…
Descriptors: Test Items, Psychometrics, Nonparametric Statistics, Item Response Theory
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Zumrawi, Abdel Azim; Bates, Simon P.; Schroeder, Marianne – Educational Research and Evaluation, 2014
This paper addresses the determination of statistically desirable response rates in students' surveys, with emphasis on assessing the effect of underlying variability in the student evaluation of teaching (SET). We discuss factors affecting the determination of adequate response rates and highlight challenges caused by non-response and lack of…
Descriptors: Inferences, Test Reliability, Response Rates (Questionnaires), Student Evaluation of Teacher Performance
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