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Abdullah Faruk Kiliç; Meltem Acar Güvendir; Gül Güler; Tugay Kaçak – Measurement: Interdisciplinary Research and Perspectives, 2025
In this study, the extent to wording effects impact structure and factor loadings, internal consistency and measurement invariance was outlined. The modified form, which includes items that semantically reversed, explains %21.5 more variance than the original form. Also, reversed items' factor loadings are higher. As a result of CFA, indexes…
Descriptors: Test Items, Factor Structure, Test Reliability, Semantics
Sukru Murat Cebeci; Selcuk Acar – Journal of Creative Behavior, 2025
This study presents the Cebeci Test of Creativity (CTC), a novel computerized assessment tool designed to address the limitations of traditional open-ended paper-and-pencil creativity tests. The CTC is designed to overcome the challenges associated with the administration and manual scoring of traditional paper and pencil creativity tests. In this…
Descriptors: Creativity, Creativity Tests, Test Construction, Test Validity
Katarina E. Schaefer; Sara J. Finney – Research & Practice in Assessment, 2025
Some college students may be disengaged when completing assessments for institutional accountability and improvement. If disengagement is not identified and the resulting data are removed, the validity of score interpretations suffers. Using data gathered from students who completed non-consequential assessments for institutional accountability,…
Descriptors: College Students, Student Evaluation, Accountability, Student Behavior
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
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
Gilber Chura-Quispe; Cristina Beatriz Flores-Rosado; Alex Alfredo Valenzuela-Romero; Enlil Iván Herrera-Pérez; Avenilda Eufemia Herrera-Chura; Mercedes Alejandrina Collazos Alarcón – Contemporary Educational Technology, 2025
Information literacy is a fundamental component in the academic development of future professionals. The aim of the study was to evaluate the metric properties of the 'questionnaire of self-perceived information competences', analyzing the factorial structure, internal consistency, convergent validity, factorial invariance according to gender and…
Descriptors: Information Literacy, College Students, Student Attitudes, Foreign Countries
Acar Guvendir, Meltem; Ozer Ozkan, Yesim – International Journal of Assessment Tools in Education, 2022
The aim of this study is to examine how the practice of different item removal strategies during exploratory factor analysis (EFA) phase of scale development change the number of factors, factor loadings, explained variance ratio, and reliability values (a and ?) explained. In the study, data obtained from 379 university students were used for the…
Descriptors: Test Items, Factor Analysis, Factor Structure, Test Construction
Avsar, Asiye Sengül – Participatory Educational Research, 2022
It is necessary to supply proof regarding the construct validity of the scales. Especially, when new scales are developed the construct validity is researched by the Exploratory Factor Analysis (EFA). Generally, factor extraction is performed via the Principal Component Analysis (PCA) which is not exactly factor analysis and the Principal Axis…
Descriptors: Factor Analysis, Automation, Construct Validity, Item Response Theory
José Ventura-León; Cristopher Lino-Cruz; Shirley Tocto-Muñoz; Andy Rick Sánchez-Villena – Journal of Psychoeducational Assessment, 2025
Academic and occupational success requires social intelligence, the ability to comprehend, and manage interpersonal connections. This research aims to assess and improve the Tromsø Social Intelligence Scale (TSIS) for Peruvian university students, focusing on cultural adaptability, reliability, and validity. Participants included 973 university…
Descriptors: Factor Analysis, Intelligence Tests, Test Items, Test Length
Nathalie Liechti García; Albert Sesé – International Journal of Educational Management, 2024
Purpose: A crucial issue in educational management refers to helping teachers reach their full potential and manage their talents. Although managing talent is advised as an essential resource for organizational transformation to maximize performance and to promote a school's knowledge capital increase, Teachers' talent management (TTM) is not an…
Descriptors: Teacher Effectiveness, Talent Development, Definitions, Measures (Individuals)
Fatih Orçan – International Journal of Assessment Tools in Education, 2025
Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…
Descriptors: Factor Analysis, Factor Structure, Item Response Theory, Sample Size
Deniz Arslan; Ömer Faruk Tamul; Murat Dogan Sahin; Ugur Sak – Journal of Pedagogical Research, 2023
An examination of gender-related differential item functioning was conducted on the verbal subtests of the Anadolu-Sak Intelligence Scale. Analyses were conducted using the scale standardization data (N = 4641). A Mantel-Haenszel statistic was used to detect differential item functioning (DIF). A total of 58 verbal analogical reasoning items, 20…
Descriptors: Foreign Countries, Intelligence Tests, Gender Bias, Gender Differences
Dulce Romero-Ayuso; Garbiñe Guerra-Begoña; Laura Marco-Miralles; José Matías Triviño-Juárez; Sonia Pérez-Rodríguez; Carmen Vidal-Ramírez; Abel Toledano-González; Sara Rosenblum – Reading and Writing: An Interdisciplinary Journal, 2025
Handwriting is a perceptual-motor skill encompassing a series of psychomotor skills related to academic performance. The main aim of this study was to translate and study the psychometric properties of the Handwriting Proficiency Screening Questionnaire for Children (HPSQ-C) for the Spanish population. A study was conducted on a final sample of…
Descriptors: Handwriting, Writing Skills, Screening Tests, Questionnaires
Keston G. Lindsay; Jessica B. Kirby; Brynn C. Adamson – International Journal of Research in Education and Science, 2024
This study aimed to validate a modified Statistics Anxiety Scale for students in the United States taking university courses. Modifications were made by changing the wording of several items to be consistent with American English, and to accommodate students taking statistics courses in various formats. Items were added to investigate anxiety…
Descriptors: Test Validity, Test Construction, College Students, Statistics Education
Yalalem Assefa; Bekalu Tadesse Moges; Shouket Ahmad Tilwani – Journal of Applied Research in Higher Education, 2024
Purpose: Lifelong learning has become one of the most interesting areas of research. Hence, the current study was aimed at developing and validating a tool that helps to study how well people working in higher education institutions are engaged in lifelong learning. Design/methodology/approach: A review of theories in the literature and experts'…
Descriptors: Lifelong Learning, Measures (Individuals), Likert Scales, Test Construction

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