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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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Bowden, Jack; Holmes, Michael V. – Research Synthesis Methods, 2019
Mendelian randomization (MR) uses genetic variants as instrumental variables to infer whether a risk factor causally affects a health outcome. Meta-analysis has been used historically in MR to combine results from separate epidemiological studies, with each study using a small but select group of genetic variants. In recent years, it has been used…
Descriptors: Meta Analysis, Research Design, Predictor Variables, Genetics
Dakota W. Cintron – ProQuest LLC, 2020
Observable data in empirical social and behavioral science studies are often categorical (i.e., binary, ordinal, or nominal). When categorical data are outcomes, they fail to maintain the scale and distributional properties of linear regression and factor analysis. Attempting to estimate model parameters for categorical outcome data with the…
Descriptors: Factor Analysis, Computation, Statistics, Methods
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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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Lachance, Katherine; Heustis, Ronald J.; Loparo, Joseph J.; Venkatesh, Madhvi J. – CBE - Life Sciences Education, 2020
Research skills, especially in experimental design, are essential for success in bioscience doctoral training. While there is a growing body of literature on the development of research skills among science, technology, engineering, and mathematics doctoral students, very little is specific to biosciences. We seek to address this gap by…
Descriptors: Self Efficacy, Research Skills, Doctoral Students, Biology
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Rau, Martina A. – Educational Psychology Review, 2020
In most STEM instruction, students interact with visual representations, which can be presented in either in a physical or a virtual mode or in a blended form that combines both modes. While much research has compared the effects of physical and virtual representations on students' learning, the field is far from being able to predict when and why…
Descriptors: Learning Theories, Visual Aids, STEM Education, Blended Learning
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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
Moeyaert, Mariola – Behavioral Disorders, 2019
Multilevel meta-analysis is an innovative synthesis technique used for the quantitative integration of effect size estimates across participants and across studies. The quantitative summary allows for objective, evidence-based, and informed decisions in research, practice, and policy. Based on previous methodological work, the technique results in…
Descriptors: Meta Analysis, Evidence, Correlation, Predictor Variables
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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)
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Xie, Jingrong; Basham, James D.; Marino, Matthew T.; Rice, Mary F. – Journal of Special Education Technology, 2018
Mobile technologies have shown great potential in various educational settings. Moreover, there is an emerging research base demonstrating how students view and interact with mobile devices to learn. As more of these technologies enter inclusive educational settings, an understanding of the extant research base for mobile learning (M-learning) and…
Descriptors: Electronic Learning, Elementary Secondary Education, Disabilities, Special Needs Students
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Seawright, Jason – Sociological Methods & Research, 2016
Qualitative and multimethod scholars face a wide and often confusing array of alternatives for case selection using the results of a prior regression analysis. Methodologists have recommended alternatives including selection of typical cases, deviant cases, extreme cases on the independent variable, extreme cases on the dependent variable,…
Descriptors: Case Studies, Selection, Research Design, Social Science Research
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