Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 14 |
Since 2006 (last 20 years) | 25 |
Descriptor
Multivariate Analysis | 34 |
Research Design | 34 |
Statistical Analysis | 34 |
Correlation | 12 |
Educational Research | 11 |
Sample Size | 11 |
Research Methodology | 10 |
Effect Size | 8 |
Analysis of Variance | 5 |
Foreign Countries | 5 |
Randomized Controlled Trials | 5 |
More ▼ |
Source
Author
Rhoads, Christopher | 3 |
Spybrook, Jessaca | 2 |
Akdemir, Ahmet Selçuk | 1 |
Aksu-Dunya, Beyza | 1 |
Aliyu, M. B. | 1 |
Aydin, Burcu | 1 |
Barcikowski, Robert S. | 1 |
Bulama, K. H. | 1 |
Ciarlone, Hallie | 1 |
Cole, Russell | 1 |
Dart, Evan H. | 1 |
More ▼ |
Publication Type
Education Level
Audience
Researchers | 2 |
Students | 1 |
Teachers | 1 |
Location
Turkey | 3 |
Florida | 1 |
Indiana | 1 |
Massachusetts | 1 |
Mexico | 1 |
Nigeria | 1 |
North Carolina | 1 |
Pennsylvania (Philadelphia) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Huibin Zhang; Zuchao Shen; Walter L. Leite – Journal of Experimental Education, 2025
Cluster-randomized trials have been widely used to evaluate the treatment effects of interventions on student outcomes. When interventions are implemented by teachers, researchers need to account for the nested structure in schools (i.e., students are nested within teachers nested within schools). Schools usually have a very limited number of…
Descriptors: Sample Size, Multivariate Analysis, Randomized Controlled Trials, Correlation
Joseph Taylor; Dung Pham; Paige Whitney; Jonathan Hood; Lamech Mbise; Qi Zhang; Jessaca Spybrook – Society for Research on Educational Effectiveness, 2023
Background: Power analyses for a cluster-randomized trial (CRT) require estimates of additional design parameters beyond those needed for an individually randomized trial. In a 2-level CRT, there are two sample sizes, the number of clusters and the number of individuals per cluster. The intraclass correlation (ICC), or the proportion of variance…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
Eric C. Hedberg – Grantee Submission, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
E. C. Hedberg – American Journal of Evaluation, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
The Effect of Data Points per x- to y-Axis Ratio on Visual Analysts Evaluation of Single-Case Graphs
Radley, Keith C.; Dart, Evan H.; Wright, Sarah J. – School Psychology Quarterly, 2018
Research based on single-case designs (SCD) are frequently utilized in educational settings to evaluate the effect of an intervention on student behavior. Visual analysis is the primary method of evaluation of SCD, despite research noting concerns regarding reliability of the procedure. Recent research suggests that characteristics of the graphic…
Descriptors: Graphs, Evaluation Methods, Data, Intervention
Rhoads, Christopher – Journal of Educational and Behavioral Statistics, 2017
Researchers designing multisite and cluster randomized trials of educational interventions will usually conduct a power analysis in the planning stage of the study. To conduct the power analysis, researchers often use estimates of intracluster correlation coefficients and effect sizes derived from an analysis of survey data. When there is…
Descriptors: Statistical Analysis, Hierarchical Linear Modeling, Surveys, Effect Size
Cole, Russell; Deke, John; Seftor, Neil – Society for Research on Educational Effectiveness, 2016
The What Works Clearinghouse (WWC) maintains design standards to identify rigorous, internally valid education research. As education researchers advance new methodologies, the WWC must revise its standards to include an assessment of the new designs. Recently, the WWC has revised standards for two emerging study designs: regression discontinuity…
Descriptors: Educational Research, Research Design, Regression (Statistics), Multivariate Analysis
Rhoads, Christopher – Journal of Research on Educational Effectiveness, 2014
Recent publications have drawn attention to the idea of utilizing prior information about the correlation structure to improve statistical power in cluster randomized experiments. Because power in cluster randomized designs is a function of many different parameters, it has been difficult for applied researchers to discern a simple rule explaining…
Descriptors: Correlation, Statistical Analysis, Multivariate Analysis, Research Design
Villarreal-Treviño, Maria Guadalupe; Villarreal-Lozano, Ricardo Jesus; Morales-Martinez, Guadalupe Elizabeth; Lopez-Ramirez, Ernesto Octavio; Flores-Moreno, Norma Esthela – European Journal of Educational Research, 2017
This study explored in a sample of 560 high level education students their judgment formation to perceived self-efficacy to solve mathematical tasks. Students had to read 36 experimental vignettes describing educative scenarios to learn mathematics. Each scenario presented four manipulated pieces of information (learning modality, task difficulty,…
Descriptors: Engineering Education, Self Efficacy, Electronic Learning, Synchronous Communication
McNeish, Daniel – Review of Educational Research, 2017
In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…
Descriptors: Models, Statistical Analysis, Sampling, Sample Size
Karakaya-Ozyer, Kubra; Aksu-Dunya, Beyza – International Journal of Research in Education and Science, 2018
Structural equation modeling (SEM) is one of the most popular multivariate statistical techniques in Turkish educational research. This study elaborates the SEM procedures employed by 75 educational research articles which were published from 2010 to 2015 in Turkey. After documenting and coding 75 academic papers, categorical frequencies and…
Descriptors: Literature Reviews, Structural Equation Models, Educational Technology, Multivariate Analysis
Erford, Bradley T.; Giguere, Monica; Glenn, Kacie; Ciarlone, Hallie – Professional School Counseling, 2015
Patterns of articles published in "Professional School Counseling" (PSC) from the first 15 volumes were reviewed in this meta-study. Author characteristics (e.g., sex, employment setting, nation of domicile) and article characteristics (e.g., topic, type, design, sample, sample size, participant type, statistical procedures and…
Descriptors: School Counseling, Publications, Meta Analysis, Bibliometrics
Ozdemir, Muzaffer; Izmirli, Serkan; Sahin-Izmirli, Ozden – Educational Technology & Society, 2016
The purpose of the present study was to investigate the effect of captioned vs. non-captioned instructional videos on the motivation and achievement. To this end, a pre-test and post-test experimental design was used on 109 sophomores from a Turkish state university. Videos with and without captions of the unit in question were prepared by the…
Descriptors: Foreign Countries, College Students, Academic Achievement, Motivation
Spybrook, Jessaca – Journal of Experimental Education, 2014
The Institute of Education Sciences has funded more than 100 experiments to evaluate educational interventions in an effort to generate scientific evidence of program effectiveness on which to base education policy and practice. In general, these studies are designed with the goal of having adequate statistical power to detect the average…
Descriptors: Intervention, Educational Research, Research Methodology, Statistical Analysis
Warner-Richter, Mallory; Lowe, Claire; Tout, Kathryn; Epstein, Dale; Li, Weilin – Child Trends, 2016
The Success By 6® (SB6) initiative is designed to support early care and education centers in improving and sustaining quality in Pennsylvania's Keystone STARS Quality Rating and Improvement System (QRIS). The SB6 evaluation report examines implementation and outcomes. The findings have implications for SB6 continous quality improvement process…
Descriptors: Success, Research Reports, Child Care Centers, Quality Assurance