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Direct linkYanjing 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
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
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
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
Arens, A. Katrin; Morin, Alexandre J. S. – American Educational Research Journal, 2017
This study illustrates an integrative psychometric framework to investigate two sources of construct-relevant multidimensionality in answers to the Self-Perception Profile for Children (SPPC). Using a sample of 2,353 German students attending Grades 3 to 6, we contrasted: (a) first-order versus hierarchical and bifactor models to investigate…
Descriptors: Self Concept, Structural Equation Models, Factor Analysis, Error of Measurement
Koomen, Helma M. Y.; Verschueren, Karine; van Schooten, Erik; Jak, Suzanne; Pianta, Robert C. – Journal of School Psychology, 2012
The Student-Teacher Relationship Scale (STRS) is widely used to examine teachers' relationships with young students in terms of closeness, conflict, and dependency. This study aimed to verify the dimensional structure of the STRS with confirmatory factor analysis, test its measurement invariance across child gender and age, improve its measurement…
Descriptors: Conflict, Factor Structure, Measures (Individuals), Factor Analysis
Pae, Hye K.; Greenberg, Daphne; Morris, Robin D. – Language Assessment Quarterly, 2012
The aim of this study was to apply the Rasch model to an analysis of the psychometric properties of the Peabody Picture Vocabulary Test--III Form A (PPVT--IIIA) items with struggling adult readers. The PPVT--IIIA was administered to 229 African American adults whose isolated word reading skills were between third and fifth grades. Conformity of…
Descriptors: African Americans, Test Items, Construct Validity, Test Validity
Download full textCuster, Michael; Sharairi, Sid; Yamazaki, Kenji; Signatur, Diane; Swift, David; Frey, Sharon – Online Submission, 2008
The present study compared item and ability invariance as well as model-data fit between the one-parameter (1PL) and three-parameter (3PL) Item Response Theory (IRT) models utilizing real data across five grades; second through sixth as well as simulated data at second, fourth and sixth grade. At each grade, the 1PL and 3PL IRT models were run…
Descriptors: Error of Measurement, Item Response Theory, Models, Goodness of Fit
