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Philipp Sterner; Florian Pargent; Dominik Deffner; David Goretzko – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Measurement invariance (MI) describes the equivalence of measurement models of a construct across groups or time. When comparing latent means, MI is often stated as a prerequisite of meaningful group comparisons. The most common way to investigate MI is multi-group confirmatory factor analysis (MG-CFA). Although numerous guides exist, a recent…
Descriptors: Structural Equation Models, Causal Models, Measurement, Predictor Variables
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Sajjad Farashi; Ensiyeh Jenabi; Saeid Bashirian; Afshin Fayyazi; Mohammad Rezaei; Katayoon Razjouyan – Review Journal of Autism and Developmental Disorders, 2025
People with autism spectrum disorder (ASD) show deficits in the processing of visual stimuli. This systematic review summarized the differences in visual event-related potential (ERP) components among ASD and typically developing individuals. Major databases were searched for finding eligible studies that investigated differences in visual ERP…
Descriptors: Autism Spectrum Disorders, Visual Stimuli, Emotional Intelligence, Familiarity
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Haixiang Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Mediation analysis is an important statistical tool in many research fields, where the joint significance test is widely utilized for examining mediation effects. Nevertheless, the limitation of this mediation testing method stems from its conservative Type I error, which reduces its statistical power and imposes certain constraints on its…
Descriptors: Structural Equation Models, Statistical Significance, Robustness (Statistics), Comparative Testing
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Yannick Rothacher; Carolin Strobl – Journal of Educational and Behavioral Statistics, 2024
Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…
Descriptors: Predictor Variables, Selection Criteria, Behavioral Sciences, Reliability
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Vinay Kumar Yadav; Shakti Prasad – Measurement: Interdisciplinary Research and Perspectives, 2024
In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…
Descriptors: Sampling, Statistical Bias, Predictor Variables, Predictive Measurement
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National Center for Education Statistics, 2013
The 2011 NAEP-TIMSS linking study conducted by the National Center for Education Statistics (NCES) was designed to predict Trends in International Mathematics and Science Study (TIMSS) scores for the U.S. states that participated in 2011 National Assessment of Educational Progress (NAEP) mathematics and science assessment of eighth-grade students.…
Descriptors: Grade 8, Research Methodology, Research Design, Trend Analysis
Gurantz, Oded – John W. Gardner Center for Youth and Their Communities, 2012
San Francisco's Bridge to Success (BtS) initiative brings together the City and County of San Francisco, the San Francisco Unified School District (SFUSD), the City College of San Francisco (CCSF), and key community organizations to promote postsecondary success for underrepresented students. Various working groups, each comprised of staff from…
Descriptors: Articulation (Education), College School Cooperation, Disproportionate Representation, Progress Monitoring
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Wildy, Helen; Styles, Irene – Australian Journal of Early Childhood, 2008
This paper reports analysis of 2006-2007 on-entry assessment data from the Performance Indicators in Primary Schools Baseline Assessment (PIPS-BLA) of random samples of students in England, Scotland, New Zealand and Australia. The analysis aimed, first, to investigate the validity and reliability of that instrument across countries and sexes, and,…
Descriptors: National Competency Tests, Foreign Countries, Student Evaluation, Comparative Education