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Dahlia K. Remler; Gregg G. Van Ryzin – American Journal of Evaluation, 2025
This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…
Descriptors: Quasiexperimental Design, Research Design, Experiments, Predictor Variables
Jenna Leigh Taylor – ProQuest LLC, 2024
The present meta-analytic study examined the overall effectiveness of child-centered play therapy (CCPT) and child-parent relationship therapy (CPRT) for children experiencing internalizing problems. After conducting a comprehensive literature search and review, 25 studies published between 2000 and 2023 met the following inclusion criteria: (a)…
Descriptors: Therapy, Play, Parent Child Relationship, Research Design
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Corinne Huggins-Manley; Anthony W. Raborn; Peggy K. Jones; Ted Myers – Journal of Educational Measurement, 2024
The purpose of this study is to develop a nonparametric DIF method that (a) compares focal groups directly to the composite group that will be used to develop the reported test score scale, and (b) allows practitioners to explore for DIF related to focal groups stemming from multicategorical variables that constitute a small proportion of the…
Descriptors: Nonparametric Statistics, Test Bias, Scores, Statistical Significance
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Mikkel Helding Vembye; James Eric Pustejovsky; Therese Deocampo Pigott – Research Synthesis Methods, 2024
Sample size and statistical power are important factors to consider when planning a research synthesis. Power analysis methods have been developed for fixed effect or random effects models, but until recently these methods were limited to simple data structures with a single, independent effect per study. Recent work has provided power…
Descriptors: Sample Size, Robustness (Statistics), Effect Size, Social Science Research
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Köhler, Carmen; Hartig, Johannes; Naumann, Alexander – Educational Psychology Review, 2021
The article focuses on estimating effects in nonrandomized studies with two outcome measurement occasions and one predictor variable. Given such a design, the analysis approach can be to include the measurement at the previous time point as a predictor in the regression model (ANCOVA), or to predict the change-score of the outcome variable…
Descriptors: Research Design, Statistical Analysis, Educational Research, Computation
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Nienke van Atteveldt; Maaike Vandermosten; Wouter Weeda; Milene Bonte – npj Science of Learning, 2021
Capturing developmental and learning-induced brain dynamics is extremely challenging as changes occur interactively across multiple levels and emerging functions. Different levels include the (social) environment, cognitive and behavioral levels, structural and functional brain changes, and genetics, while functions include domains such as math,…
Descriptors: Brain, Workshops, Interdisciplinary Approach, Brain Hemisphere Functions
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Yujie Zhou; Liping Deng – Interactive Learning Environments, 2023
With the ubiquitous presence of media devices, media multitasking has become prevalent in an educational context. Several authors have synthesized the literature on this topic, but no systematic review has been carried out so far. The present study fills this gap by examining the academic papers in the past decade to delineate the research trends,…
Descriptors: Handheld Devices, Time Management, Technology Uses in Education, Mass Media Use
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Cheng, Li-Ting; Smith, Thomas J.; Hong, Zuway-R.; Lin, Huann-shyang – International Journal of Science Education, 2021
This study examined the roles of gender and STEM major status as predictors of performance in formulating a research question and designing experiment among 70 undergraduate Taiwanese college students participating in inquiry-based learning (IBL). Student participants in this study were involved in discrepant demonstrations of scientific events…
Descriptors: Predictor Variables, Gender Differences, STEM Education, Majors (Students)