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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
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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
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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
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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
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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
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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
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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
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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
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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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Raykov, Tenko; Anthony, James C.; Menold, Natalja – Educational and Psychological Measurement, 2023
The population relationship between coefficient alpha and scale reliability is studied in the widely used setting of unidimensional multicomponent measuring instruments. It is demonstrated that for any set of component loadings on the common factor, regardless of the extent of their inequality, the discrepancy between alpha and reliability can be…
Descriptors: Correlation, Evaluation Research, Reliability, Measurement Techniques
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Lu, Peiyi; Shelley, Mack – International Journal of Social Research Methodology, 2023
Imputation or likelihood-based approaches to handle missing data assume the data are missing completely at random (MCAR) or missing at random (MAR). However, little research has examined the missingness pattern before using these imputation/likelihood methods. Three missingness mechanisms -- MCAR, MAR, and not missing at random (NMAR) -- can be…
Descriptors: Research Methodology, Longitudinal Studies, Health, Retirement
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Robinson, Daniel H.; Wainer, Howard – Educational Psychology Review, 2023
To date, there have been four responses (Dumas & Edelsbrunner, "Educational Psychology Review," 35, 48, 2023; Grosz, "Educational Psychology Review," 35, 57, 2023; Mayer, "Educational Psychology Review," 35, 64, 2023; Zitzmann et al., "Educational Psychology Review," 35, 65, 2023) to the Brady et al.…
Descriptors: Educational Psychology, Educational Research, Intervention, Statistical Analysis
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Lane, Sean P.; Kelleher, Bridgette L. – Developmental Psychology, 2023
Recruiting participants for studies of early-life longitudinal development is challenging, often resulting in practical upper bounds in sample size and missing data due to attrition. These factors pose risks for the statistical power of such studies depending on the intended analytic model. One mitigation strategy is to increase measurement…
Descriptors: Longitudinal Studies, Child Development, Hierarchical Linear Modeling, Research Design
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Bufford, Teresa; Aralis, Hilary; Kataoka, Sheryl; Lee, Sung-Jae; Lavelle Trinh, Carla; Lester, Patricia – Prevention Science, 2023
Evidence-based health interventions are frequently translated into real-world settings where practical needs drive changes to intervention protocols. Due to logistical and resource constraints, these naturally arising adaptations are rarely assessed for comparative effectiveness using a randomized trial. Nevertheless, when observational data are…
Descriptors: Statistical Analysis, Intervention, Program Evaluation, Resilience (Psychology)
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Chalmers, R. Philip – Journal of Educational Measurement, 2023
Several marginal effect size (ES) statistics suitable for quantifying the magnitude of differential item functioning (DIF) have been proposed in the area of item response theory; for instance, the Differential Functioning of Items and Tests (DFIT) statistics, signed and unsigned item difference in the sample statistics (SIDS, UIDS, NSIDS, and…
Descriptors: Test Bias, Item Response Theory, Definitions, Monte Carlo Methods
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