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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
Yanchao Yang; Wangze Li; Sijia Xue; Wenxue Huang; Shijie Guo – European Journal of Education, 2025
In response to the prevalence of perceived internship Pick-up Artist(PUA) behaviours and the lack of appropriate measurement tools, the purpose of this study was to develop and validate a new self-designed questionnaire, the Perceived Internship PUA Scale (PIPUAS), to assess college student interns' perceptions of internship PUA behaviours. The…
Descriptors: Measurement Techniques, Incidence, Internship Programs, Validity
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
Radu Bogdan Toma – Journal of Early Adolescence, 2024
The Expectancy-Value model has been extensively used to understand students' achievement motivation. However, recent studies propose the inclusion of cost as a separate construct from values, leading to the development of the Expectancy-Value-Cost model. This study aimed to adapt Kosovich et al.'s ("The Journal of Early Adolescence", 35,…
Descriptors: Student Motivation, Student Attitudes, Academic Achievement, Mathematics Achievement
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
Punter, R. Annemiek; Meelissen, Martina R. M.; Glas, Cees A. W. – European Educational Research Journal, 2017
IEA's International Computer and Information Literacy Study (ICILS) 2013 showed that in the majority of the participating countries, 14-year-old girls outperformed boys in computer and information literacy (CIL): results that seem to contrast with the common view of boys having better computer skills. This study used the ICILS data to explore…
Descriptors: Gender Differences, Factor Analysis, Information Literacy, Computer Literacy
Johnson, Matthew D.; Galambos, Nancy L.; Finn, Christine; Neyer, Franz J.; Horne, Rebecca M. – Developmental Psychology, 2017
Guided by concepts from a relational developmental perspective, this study examined intra- and interpersonal associations between self-esteem and depressive symptoms in a sample of 1,407 couples surveyed annually across 6 years in the Panel Analysis of Intimate Relations and Family Dynamics (pairfam) study. Autoregressive cross-lagged model…
Descriptors: Self Esteem, Depression (Psychology), Symptoms (Individual Disorders), Interpersonal Relationship
Xu, Lihua; Wubbena, Zane; Stewart, Trae – Journal of Educational Administration, 2016
Purpose: The purpose of this paper is to investigate the factor structure and the measurement invariance of the Multifactor Leadership Questionnaire (MLQ) across gender of K-12 school principals (n=6,317) in the USA. Design/methodology/approach: Nine first-order factor models and four second-order factor models were tested using confirmatory…
Descriptors: Leadership Styles, Questionnaires, Transformational Leadership, Factor Structure
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
Rusu, Petruta P.; Hilpert, Peter; Turliuc, Maria N.; Bodenmann, Guy – Measurement and Evaluation in Counseling and Development, 2016
This study investigates the psychometric properties of the Romanian version of the Dyadic Coping Inventory with data from 510 married couples. The results confirm the theoretical factorial structure of the Dyadic Coping Inventory for both partners, indicating convergent validity, discriminate validity, and measurement invariance (across genders…
Descriptors: Coping, Psychometrics, Spouses, Factor Structure
Olivera-Aguilar, Margarita; Millsap, Roger E. – Multivariate Behavioral Research, 2013
A common finding in studies of differential prediction across groups is that although regression slopes are the same or similar across groups, group differences exist in regression intercepts. Building on earlier work by Birnbaum (1979), Millsap (1998) presented an invariant factor model that would explain such intercept differences as arising due…
Descriptors: Statistical Analysis, Measurement, Prediction, Regression (Statistics)
Torres, Lucas; Miller, Matthew J.; Moore, Kelly M. – Psychological Assessment, 2013
The cultural equivalence of psychological outcome measures remains a major area of investigation. The current study sought to test the factor structure and factorial invariance of the Brief Symptom Inventory-18 (BSI-18) with a sample of adult individuals of Mexican descent (N = 923) across nativity status (U.S.- vs. foreign-born), language format…
Descriptors: Outcome Measures, Mexican Americans, Factor Structure, Symptoms (Individual Disorders)
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
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