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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
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
Kratochwill, Thomas R.; Levin, Joel R.; Horner, Robert H. – Remedial and Special Education, 2018
The central roles of science in the field of remedial and special education are to (a) identify basic laws of nature and (b) apply those laws in the design of practices that achieve socially valued outcomes. The scientific process is designed to allow demonstration of specific (typically positive) outcomes, and to assist in the attribution of…
Descriptors: Intervention, Educational Research, Research Methodology, Case Studies
Hitchcock, John H.; Horner, Robert H.; Kratochwill, Thomas R.; Levin, Joel R.; Odom, Samuel L.; Rindskopf, David M.; Shadish, William R. – Remedial and Special Education, 2014
In this article, we respond to Wolery's critique of the What Works Clearinghouse (WWC) pilot "Standards," which were developed by the current authors. We do so to provide additional information and clarify some points previously summarized in this journal. We also respond to several concerns raised by Maggin, Briesch, and Chafouleas…
Descriptors: Research Design, Standards, Evidence, Clearinghouses
Exceptional Children, 2014
This report was commissioned by the Council of Exceptional Children (CEC) Board of Directors and a workgroup comprising seven special education researchers (Bryan Cook, Chair; Virginia Buysse; Janette Klingner; Tim Landrum; Robin McWilliam; Melody Tankersley; and Dave Test) who developed, vetted, and piloted the new standards for determining…
Descriptors: Special Education, Disabilities, Standards, Educational Practices
Datchuk, Shawn M.; Kubina, Richard M., Jr. – Journal of Precision Teaching and Celeration, 2011
The accumulation of scientific knowledge greatly depends upon the critical review of experimental findings by ones peers. In single case design research, experimenters present findings with graphical displays of data and narrative description of a visual analysis. To aid in efficient and accurate description of experimental findings, the research…
Descriptors: Research Design, Predictor Variables, Standards, Scientific Principles
Braverman, Marc T. – American Journal of Evaluation, 2013
Sound evaluation planning requires numerous decisions about how constructs in a program theory will be translated into measures and instruments that produce evaluation data. This article, the first in a dialogue exchange, examines how decisions about measurement are (and should be) made, especially in the context of small-scale local program…
Descriptors: Evaluation Methods, Methods Research, Research Methodology, Research Design
Morrow, Jennifer Ann; Kelly, Stephanie; Skolits, Gary – Communication Teacher, 2013
Understanding and conducting research is a complex, integral skill that needs to be mastered by both undergraduate and graduate students. Yet many students are reluctant and often somewhat apprehensive about undertaking research and understanding the underlying statistical methods used to evaluate research (Dauphinee, Schau, & Stevens, 1997).…
Descriptors: Undergraduate Students, Graduate Students, Student Research, Research Methodology
Scaffolded Instruction Improves Student Understanding of the Scientific Method & Experimental Design
D'Costa, Allison R.; Schlueter, Mark A. – American Biology Teacher, 2013
Implementation of a guided-inquiry lab in introductory biology classes, along with scaffolded instruction, improved students' understanding of the scientific method, their ability to design an experiment, and their identification of experimental variables. Pre- and postassessments from experimental versus control sections over three semesters…
Descriptors: Scientific Methodology, Research Design, Predictor Variables, Pretests Posttests
McGowan, Herle M. – Journal of Statistics Education, 2011
A well-designed experiment is the best method for establishing efficacy of any intervention, be it medical, behavioral, or educational in nature. This paper reviews the steps necessary in conducting a comparative experiment in an educational setting, and illustrates how these steps might be fulfilled within the context of a large-scale randomized…
Descriptors: Statistics, Experiments, Comparative Analysis, Research Methodology
Hopwood, Christopher J. – Journal of Early Intervention, 2007
Second-generation early intervention research typically involves the specification of multivariate relations between interventions, outcomes, and other variables. Moderation and mediation involve variables or sets of variables that influence relations between interventions and outcomes. Following the framework of Baron and Kenny's (1986) seminal…
Descriptors: Early Intervention, Structural Equation Models, Research Methodology, Predictor Variables
Packard, Richard D.; Dereshiwsky, Mary I. – 1989
This paper presents a model which illustrates the cyclical and interactive nature of the basic elements of the research design process. Rather than presenting each research design component in isolation, the model emphasizes their interrelationships. A brief discussion is presented on each of the following components of the model: (1) the "words"…
Descriptors: Data Collection, Educational Research, Higher Education, Predictor Variables
Suen, Hoi – Journal of Developmental and Remedial Education, 1979
Describes an inductive approach to the evaluation of developmental studies programs using multiple regression analysis to explore variables that contribute to program success. (DR)
Descriptors: Developmental Programs, Evaluation Methods, Higher Education, Multiple Regression Analysis
EdSource, 2010
This paper presents the research and methodology and analyses used for the "Gaining Ground in the Middle Grades" research. This appendix contains the following sections: (1) Overview; (2) Constructing the Survey Data File; (3) Constructing Composite Independent Variables (Subdomains); (4) Constructing Longitudinal Outcome Variables; (5)…
Descriptors: Academic Achievement, Measures (Individuals), Longitudinal Studies, Research Methodology

Carr, James E.; Austin, John – Teaching of Psychology, 1997
Provides a brief overview of single-subject research designs. This method exercises its power by examining changes in single subjects' responses over time across experimental conditions. Describes a classroom project in which students collect repeated measures of their own behavior and graph the data. (MJP)
Descriptors: Causal Models, Data Collection, Data Interpretation, Demonstrations (Educational)
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