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Adam N. Glynn; Miguel R. Rueda; Julian Schuessler – Sociological Methods & Research, 2024
Post-instrument covariates are often included as controls in instrumental variable (IV) analyses to address a violation of the exclusion restriction. However, we show that such analyses are subject to biases unless strong assumptions hold. Using linear constant-effects models, we present asymptotic bias formulas for three estimators (with and…
Descriptors: Causal Models, Statistical Inference, Error of Measurement, Least Squares Statistics
Clinton, Virginia; Taylor, Terrill; Bajpayee, Surjya; Davison, Mark L.; Carlson, Sarah E.; Seipel, Ben – Reading and Writing: An Interdisciplinary Journal, 2020
Inferential comprehension is necessary to connect ideas in a text together in a meaningful manner. There have been multiple studies on inferential comprehension involving texts of different genres (narrative and expository), but not a coherent overview of the findings of inferential comprehension by genre. The purpose of this study is to provide a…
Descriptors: Inferences, Reading Comprehension, Expository Writing, Meta Analysis
Clinton, Virginia; Taylor, Terrill; Bajpayee, Surjya; Davison, Mark L.; Carlson, Sarah E.; Seipel, Ben – Grantee Submission, 2020
Inferential comprehension is necessary to connect ideas in a text together in a meaningful manner. There have been multiple studies on inferential comprehension involving texts of different genres (narrative and expository), but not a coherent overview of the findings of inferential comprehension by genre. The purpose of this study is to provide a…
Descriptors: Inferences, Reading Comprehension, Expository Writing, Meta Analysis
Baek, Eunkyeng; Luo, Wen; Henri, Maria – Journal of Experimental Education, 2022
It is common to include multiple dependent variables (DVs) in single-case experimental design (SCED) meta-analyses. However, statistical issues associated with multiple DVs in the multilevel modeling approach (i.e., possible dependency of error, heterogeneous treatment effects, and heterogeneous error structures) have not been fully investigated.…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Comparative Analysis, Statistical Inference
Piepho, Hans-Peter; Madden, Laurence V. – Research Synthesis Methods, 2022
Network meta-analysis is a popular method to synthesize the information obtained in a systematic review of studies (e.g., randomized clinical trials) involving subsets of multiple treatments of interest. The dominant method of analysis employs within-study information on treatment contrasts and integrates this over a network of studies. One…
Descriptors: Medical Research, Meta Analysis, Networks, Drug Therapy
Cromley, Jennifer G.; Du, Yang; Dane, Aygul Parpucu – Journal of Science Education and Technology, 2020
Drawing-to-learn is a specific learning/reading strategy studied across many domains. In response to gaps in our knowledge about drawing-to-learn, we conducted a systematic meta-analysis of the literature published since the influential 2005 Van Meter and Garner literature review. We analyzed the benefits of directed learner-generated visual…
Descriptors: Reading Strategies, Meta Analysis, Visual Aids, Freehand Drawing
Martelle, Stefanie N.; Namazi, Mahchid – Language, Speech, and Hearing Services in Schools, 2022
Purpose: The aim of this review is to illuminate the connection between inferential skills and spoken language idiom comprehension (SLIC) with a focus on autism. Idioms are frequently occurring figurative expressions, such as feeling blue, on cloud nine, and all tied up, that have literal and nonliteral meanings. Method: In this review article, an…
Descriptors: Figurative Language, Correlation, Speech Communication, Pervasive Developmental Disorders
Clinton, Virginia – Journal of Research in Reading, 2019
Background: Given the increasing popularity of reading from screens, it is not surprising that numerous studies have been conducted comparing reading from paper and electronic sources. The purpose of this systematic review and meta-analysis is to consolidate the findings on reading performance, reading times and calibration of performance…
Descriptors: Reading Research, Meta Analysis, Reading Skills, Metacognition
Mack, Michael R.; Hensen, Cory; Barbera, Jack – Journal of Chemical Education, 2019
Quasi-experiments are common in studies that estimate the effect of instructional interventions on student performance outcomes. In this type of research, the nature of the experimental design, the choice in assessment, the selection of comparison groups, and the statistical methods used to analyze the comparison data dictate the validity of…
Descriptors: Science Instruction, Comparative Analysis, Inferences, Validity
Cattaneo, Matias D.; Titiunik, Rocío; Vazquez-Bare, Gonzalo – Journal of Policy Analysis and Management, 2017
The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The most common inference approaches in RD designs employ "flexible" parametric and nonparametric local polynomial methods, which rely on extrapolation and large-sample approximations of conditional expectations…
Descriptors: Early Intervention, Young Children, Comparative Analysis, Inferences
Ciullo, Stephen; Lo, Yu-Ling Sabrina; Wanzek, Jeanne; Reed, Deborah K. – Journal of Learning Disabilities, 2016
This research synthesis was conducted to understand the effectiveness of interventions designed to improve learning from informational text for students with learning disabilities in elementary school (K-5). The authors identified 18 studies through a comprehensive search. The interventions were evaluated to determine treatment effects and to…
Descriptors: Elementary School Students, Learning Disabilities, Effect Size, Intervention
Verde, Pablo E.; Ohmann, Christian – Research Synthesis Methods, 2015
Researchers may have multiple motivations for combining disparate pieces of evidence in a meta-analysis, such as generalizing experimental results or increasing the power to detect an effect that a single study is not able to detect. However, while in meta-analysis, the main question may be simple, the structure of evidence available to answer it…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Comparative Analysis, Evidence
Rios, Joseph A.; Sireci, Stephen G. – International Journal of Testing, 2014
The International Test Commission's "Guidelines for Translating and Adapting Tests" (2010) provide important guidance on developing and evaluating tests for use across languages. These guidelines are widely applauded, but the degree to which they are followed in practice is unknown. The objective of this study was to perform a…
Descriptors: Guidelines, Translation, Adaptive Testing, Second Languages
Lewis, Sarah J.; Relton, Caroline; Zammit, Stanley; Smith, George Davey – Journal of Child Psychology and Psychiatry, 2013
Background: The risk of childhood behavioural and psychiatric diseases could be substantially reduced if modifiable risk factors for these disorders were identified. The critical period for many of these exposures is likely to be in utero as this is the time when brain development is most rapid. However, due to confounding and other limitations of…
Descriptors: Attribution Theory, Prenatal Influences, Comparative Analysis, Behavior Disorders
Stern, Hal S. – Psychological Methods, 2005
I. Klugkist, O. Laudy, and H. Hoijtink (2005) presented a Bayesian approach to analysis of variance models with inequality constraints. Constraints may play 2 distinct roles in data analysis. They may represent prior information that allows more precise inferences regarding parameter values, or they may describe a theory to be judged against the…
Descriptors: Probability, Inferences, Bayesian Statistics, Data Analysis
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