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Shi, Dexin; Lee, Taehun; Maydeu-Olivares, Alberto – Educational and Psychological Measurement, 2019
This study investigated the effect the number of observed variables (p) has on three structural equation modeling indices: the comparative fit index (CFI), the Tucker--Lewis index (TLI), and the root mean square error of approximation (RMSEA). The behaviors of the population fit indices and their sample estimates were compared under various…
Descriptors: Structural Equation Models, Goodness of Fit, Sample Size
Tzou, Hueying; Yang, Ya-Huei – International Journal of Assessment Tools in Education, 2019
Selecting an appropriate cognitive diagnostic model (CDM) for data analysis is always challenging. Studies have explored several model fit indices for CDMs. The common results of these studies indicate that Q-matrix misspecifications lead to poor performance of the model fit indices in the context of CDMs. Thus, this study explored whether model…
Descriptors: Goodness of Fit, Sample Size, Cognitive Measurement, Models
Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models
Na Shan; Ping-Feng Xu – Journal of Educational and Behavioral Statistics, 2025
The detection of differential item functioning (DIF) is important in psychological and behavioral sciences. Standard DIF detection methods perform an item-by-item test iteratively, often assuming that all items except the one under investigation are DIF-free. This article proposes a Bayesian adaptive Lasso method to detect DIF in graded response…
Descriptors: Bayesian Statistics, Item Response Theory, Adolescents, Longitudinal Studies
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2022
This article develops new closed-form variance expressions for power analyses for commonly used difference-in-differences (DID) and comparative interrupted time series (CITS) panel data estimators. The main contribution is to incorporate variation in treatment timing into the analysis. The power formulas also account for other key design features…
Descriptors: Comparative Analysis, Statistical Analysis, Sample Size, Measurement Techniques
Patterson, Charity G.; Leland, Natalie E.; Mormer, Elaine; Palmer, Catherine V. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Individual-randomized trials are the gold standard for testing the efficacy and effectiveness of drugs, devices, and behavioral interventions. Health care delivery, educational, and programmatic interventions are often complex, involving multiple levels of change and measurement precluding individual randomization for testing.…
Descriptors: Speech Language Pathology, Randomized Controlled Trials, Intervention, Speech Therapy
Kalkan, Ömür Kaya – Measurement: Interdisciplinary Research and Perspectives, 2022
The four-parameter logistic (4PL) Item Response Theory (IRT) model has recently been reconsidered in the literature due to the advances in the statistical modeling software and the recent developments in the estimation of the 4PL IRT model parameters. The current simulation study evaluated the performance of expectation-maximization (EM),…
Descriptors: Comparative Analysis, Sample Size, Test Length, Algorithms
Thi Minh Hang Le; Ha Hoang; Son-Tung Nguyen – Irish Educational Studies, 2024
This study aimed to determine the relationship between entrepreneurial training and intention among Southeast Asian students who are influenced by Confucianism. The conceptual model was tested with a sample size of 281 students enrolled in a business administration program. The most significant findings from the study were: (i) students'…
Descriptors: Entrepreneurship, Confucianism, Business Administration Education, Family Characteristics
Julia Sonnenberg-Klein; Edward J. Coyle – IEEE Transactions on Education, 2024
Contribution: This longitudinal study modeled student leadership growth in a course sequence supporting long-term, large-scale, multidisciplinary projects embedded in faculty research. Students (half from computer science, computational media, electrical engineering, and computer engineering) participated for 1-4 semesters. Background: Project-…
Descriptors: College Faculty, Teacher Researchers, Student Projects, Active Learning
Sedat Sen; Allan S. Cohen – Educational and Psychological Measurement, 2024
A Monte Carlo simulation study was conducted to compare fit indices used for detecting the correct latent class in three dichotomous mixture item response theory (IRT) models. Ten indices were considered: Akaike's information criterion (AIC), the corrected AIC (AICc), Bayesian information criterion (BIC), consistent AIC (CAIC), Draper's…
Descriptors: Goodness of Fit, Item Response Theory, Sample Size, Classification
Ben Van Dusen; Heidi Cian; Jayson Nissen; Lucy Arellano; Adrienne D. Woods – Sociology of Education, 2024
This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…
Descriptors: Educational Research, Intersectionality, Critical Race Theory, STEM Education
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Statistical Analysis, Middle School Students, High School Students
Sales, Adam C.; Prihar, Ethan B.; Gagnon-Bartsch, Johann A.; Heffernan, Neil T. – Journal of Educational Data Mining, 2023
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…
Descriptors: Data Use, Research Methodology, Randomized Controlled Trials, Educational Technology
Michael Sanders; Jack Summers; Vanessa Hirneis; Susannah Hume; Gabrielle McGannon – Evidence & Policy: A Journal of Research, Debate and Practice, 2023
Background: Randomised trials have been on the rise in social policy over the last decade and a half, particularly in areas working with young people and vulnerable adults. Informed consent is an important principle for ethics committees governing research conducted by universities. Aims and objectives: We consider the arguments for and against…
Descriptors: Ethics, Research Committees, Informed Consent, Participation
Claire J. McCartan; Jennifer Roberts; Julie-Ann Jordan – Campbell Systematic Reviews, 2023
Do centre-based early education programmes prepare children for starting school? We wanted to find out if attending a centre-based early education programme was better than: (a) not attending any programme; (b) receiving a standard pre-school programme; and (c) if there were any unwanted effects. We found 32 studies involving 16,899 children aged…
Descriptors: Early Intervention, School Readiness, Preschool Children, Preschool Education
Yu, Albert; Douglas, Jeffrey A. – Journal of Educational and Behavioral Statistics, 2023
We propose a new item response theory growth model with item-specific learning parameters, or ISLP, and two variations of this model. In the ISLP model, either items or blocks of items have their own learning parameters. This model may be used to improve the efficiency of learning in a formative assessment. We show ways that the ISLP model's…
Descriptors: Item Response Theory, Learning, Markov Processes, Monte Carlo Methods

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