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Okan Bulut; Doyoung Kim – Journal of Applied Testing Technology, 2023
The development of a Computerized Adaptive Test (CAT) for operational use begins with several important steps, such as creating a large-size item bank, piloting the items on a sizable and representative sample of examinees, dimensionality assessment of the item bank, and estimation of item parameters. Among these steps, testing the dimensionality…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Statistical Analysis
Chan, Wendy – Journal of Research on Educational Effectiveness, 2022
Over the past decade, statisticians have developed methods to improve generalizations from nonrandom samples using propensity score methods. While these methods contribute to generalization research, their effectiveness is limited by small sample sizes. Small area estimation is a class of model-based methods that address the imprecision due to…
Descriptors: Generalization, Probability, Sample Size, Statistical Analysis
Li, Dongmei – Journal of Educational Measurement, 2022
Equating error is usually small relative to the magnitude of measurement error, but it could be one of the major sources of error contributing to mean scores of large groups in educational measurement, such as the year-to-year state mean score fluctuations. Though testing programs may routinely calculate the standard error of equating (SEE), the…
Descriptors: Error Patterns, Educational Testing, Group Testing, Statistical Analysis
Weese, James D.; Turner, Ronna C.; Ames, Allison; Crawford, Brandon; Liang, Xinya – Educational and Psychological Measurement, 2022
A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel-Haenszel procedure. Prior heuristics have been used for nearly 25 years, but they are based on a simulation study that was restricted due to computer limitations and that modeled item…
Descriptors: Test Bias, Heuristics, Classification, Statistical Analysis
Kulinskaya, Elena; Mah, Eung Yaw – Research Synthesis Methods, 2022
To present time-varying evidence, cumulative meta-analysis (CMA) updates results of previous meta-analyses to incorporate new study results. We investigate the properties of CMA, suggest possible improvements and provide the first in-depth simulation study of the use of CMA and CUSUM methods for detection of temporal trends in random-effects…
Descriptors: Meta Analysis, Computation, Statistical Analysis, Statistical Bias
Chen, Yi; Zhang, Jingru; Yang, Yi; Lee, Young-Sun – Journal of Educational Measurement, 2022
The development of human-computer interactive items in educational assessments provides opportunities to extract useful process information for problem-solving. However, the complex, intensive, and noisy nature of process data makes it challenging to model with the traditional psychometric methods. Social network methods have been applied to…
Descriptors: Data Processing, Social Networks, Statistical Analysis, Educational Assessment
Peter Z. Schochet – Journal of Educational and Behavioral Statistics, 2025
Random encouragement designs evaluate treatments that aim to increase participation in a program or activity. These randomized controlled trials (RCTs) can also assess the mediated effects of participation itself on longer term outcomes using a complier average causal effect (CACE) estimation framework. This article considers power analysis…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Carla Rowold; Emanuela Struffolino; Anette Eva Fasang – Sociological Methods & Research, 2025
Processes that unfold over individuals' life courses are often associated with inequalities later in life. The literature lacks methodological approaches to analyze inequalities in outcomes between groups, for example, between women and men, in a life-course-sensitive manner. We propose a combination of methods--of sequence analysis, which enables…
Descriptors: Foreign Countries, Research Methodology, Gender Differences, Social Science Research
Regan Mozer; Luke Miratrix – Grantee Submission, 2025
For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by trained human raters. This process, the current standard, is both time-consuming and limiting: even the largest human coding efforts are typically constrained to…
Descriptors: Artificial Intelligence, Coding, Efficiency, Statistical Inference
Jeffery Buckley – Journal of Technology Education, 2024
Ensuring a credible literature base is essential for all research fields. One element of this relates to the replicability of published work, which is the probability that the results of an original study would replicate in an independent investigation. A critical feature of replicable research is that the sample size of a study is sufficient to…
Descriptors: Technology Education, Researchers, Educational Research, Sample Size
Paul T. von Hippel – Education Next, 2024
In a 1984 essay, Benjamin Bloom, an educational psychologist at the University of Chicago, asserted that tutoring offered "the best learning conditions we can devise" and that tutors could raise student achievement by two full standard deviations--or, in statistical parlance, two "sigmas." The influence of Bloom's two-sigma…
Descriptors: Tutoring, Academic Achievement, Educational Experiments, Tests
Javed Iqbal; Tanweer Ul Islam – Educational Research and Evaluation, 2024
Economic efficiency demands accurate assessment of individual ability for selection purposes. This study investigates Classical Test Theory (CTT) and Item Response Theory (IRT) for estimating true ability and ranking individuals. Two Monte Carlo simulations and real data analyses were conducted. Results suggest a slight advantage for IRT, but…
Descriptors: Item Response Theory, Monte Carlo Methods, Ability, Statistical Analysis
Nianbo Dong; Benjamin Kelcey; Jessaca Spybrook – Journal of Experimental Education, 2024
Multisite cluster randomized trials (MCRTs), in which, the intermediate-level clusters (e.g., classrooms) are randomly assigned to the treatment or control condition within each site (e.g., school), are among the most commonly used experimental designs across a broad range of disciplines. MCRTs often align with the theory that programs are…
Descriptors: Research Design, Randomized Controlled Trials, Statistical Analysis, Sample Size
Cox, Kyle; Kelcey, Benjamin – American Journal of Evaluation, 2023
Analysis of the differential treatment effects across targeted subgroups and contexts is a critical objective in many evaluations because it delineates for whom and under what conditions particular programs, therapies or treatments are effective. Unfortunately, it is unclear how to plan efficient and effective evaluations that include these…
Descriptors: Statistical Analysis, Research Design, Cluster Grouping, Sample Size

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