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Ke-Hai Yuan; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models…
Descriptors: Structural Equation Models, Path Analysis, Weighted Scores, Comparative Testing
Rohit Batra; Silvia A. Bunge; Emilio Ferrer – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to the repeated assessments, from developmental processes such as maturation or age. In this article,…
Descriptors: Children, Adolescents, Longitudinal Studies, Test Reliability
Tenko Raykov; Bingsheng Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Multidimensional measuring instruments are often used in behavioral, social, educational, marketing, and biomedical research. For these scales, the paper discusses how to find the optimal score based on their components that is associated with the highest possible reliability. Within the framework of structural equation modeling, an approach to…
Descriptors: Multidimensional Scaling, Measurement Equipment, Measurement Techniques, Test Reliability
Darmawan Muttaqin – Journal of Psychoeducational Assessment, 2024
The Vocational Identity Status Assessment (VISA) is one of the instruments that can be used to assess vocational identity. Conceptually, VISA consists of six sub-dimensions and has been validated using factor analysis. This study provides a factor structure test of the Indonesian version of VISA using the exploratory structural equation modeling…
Descriptors: Foreign Countries, Structural Equation Models, Vocational Interests, Occupational Tests
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
Khalid ALMamari – International Journal of Testing, 2024
The Multidimensional Personality Questionnaire (MPQ) measures a wide range of personality traits associated with affect and temperament. However, the lengthy administration time may have hindered its widespread use in personality research. The National Survey of Midlife Development in the United States (MIDUS) has adapted a short version of the…
Descriptors: Personality Measures, Questionnaires, Construct Validity, Test Reliability
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
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)
Dandan Tang; Steven M. Boker; Xin Tong – Structural Equation Modeling: A Multidisciplinary Journal, 2025
The replication crisis in social and behavioral sciences has raised concerns about the reliability and validity of empirical studies. While research in the literature has explored contributing factors to this crisis, the issues related to analytical tools have received less attention. This study focuses on a widely used analytical tool -…
Descriptors: Test Validity, Factor Analysis, Replication (Evaluation), Social Science Research
Maïano, Christophe; Morin, Alexandre J. S.; Tietjens, Maike; Bastos, Tânia; Luiggi, Maxime; Corredeira, Rui; Griffet, Jean; Sánchez-Oliva, David – Measurement in Physical Education and Exercise Science, 2023
The present study sought to examine the psychometric properties of new German, Portuguese, and Spanish versions of the Revised Short Form of the Physical Self-Inventory (PSI-S-"R"), and to contrast these properties against those from the original French version of this instrument. Participants (n = 1802) were 288 French youth, 177 German…
Descriptors: German, Portuguese, Spanish, Test Construction
Morley, Alicen; Nissen, Jayson M.; Van Dusen, Ben – Physical Review Physics Education Research, 2023
Instructors and researchers often use research-based assessments to identify the impact of instructional activities. These investigations often focus on issues of diversity, equity, and inclusions by comparing outcomes across social identity groups (e.g., gender, race, and class). Comparisons across groups assume the assessments measure the same…
Descriptors: Error of Measurement, Racial Differences, Gender Differences, Test Validity
Fatih Orcan – International Journal of Assessment Tools in Education, 2023
Among all, Cronbach's Alpha and McDonald's Omega are commonly used for reliability estimations. The alpha uses inter-item correlations while omega is based on a factor analysis result. This study uses simulated ordinal data sets to test whether the alpha and omega produce different estimates. Their performances were compared according to the…
Descriptors: Statistical Analysis, Monte Carlo Methods, Correlation, Factor Analysis
Osman, Esam; Hardaker, Glenn; Glenn, Liyana Eliza – International Journal of Information and Learning Technology, 2022
Purpose: Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach: Structured equation modelling (SEM) research identifies concerns about the…
Descriptors: Structural Equation Models, Management Information Systems, Misconceptions, Scientific Methodology
Blaine G. Robbins – Sociological Methods & Research, 2024
The Stranger Face Trust scale (SFT) and Imaginary Stranger Trust scale (IST) are two new self-report measures of generalized trust that assess trust in strangers--both real and imaginary--across four trust domains. Prior research has established the reliability and validity of SFT and IST, but a number of measurement validation tests remain.…
Descriptors: Attitude Measures, Trust (Psychology), Stranger Reactions, Pretests Posttests
Frazier, Thomas W.; Khaliq, Izma; Scullin, Keeley; Uljarevic, Mirko; Shih, Andy; Karpur, Arun – Journal of Autism and Developmental Disorders, 2023
At present, there are no brief, freely-available, informant-report measures that evaluate key challenging behaviors relevant to youth with autism spectrum disorder (ASD) or other developmental disabilities (DD). This paper describes the development, refinement, and initial psychometric evaluation of a new 18-item measure, the Open-Source…
Descriptors: Test Construction, Psychometrics, Behavior Problems, Autism Spectrum Disorders