Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 14 |
Descriptor
Effect Size | 17 |
Evaluation Methods | 17 |
Intervals | 17 |
Statistical Analysis | 9 |
Computation | 7 |
Research Methodology | 5 |
Behavioral Science Research | 4 |
Comparative Analysis | 4 |
Hypothesis Testing | 4 |
Testing | 4 |
Educational Research | 3 |
More ▼ |
Source
Author
Allen, Jeff | 1 |
Blossom, Megan | 1 |
Byrd, Jimmy K. | 1 |
Choi, Jaehwa | 1 |
Fan, Weihua | 1 |
Gurung, Tara | 1 |
Hancock, Gregory R. | 1 |
Hart, Sara A. | 1 |
Hoffman, LaVae M. | 1 |
Kamp Dush, Claire M. | 1 |
Kelley, Ken | 1 |
More ▼ |
Publication Type
Journal Articles | 17 |
Reports - Research | 10 |
Reports - Descriptive | 4 |
Reports - Evaluative | 3 |
Information Analyses | 1 |
Education Level
Adult Education | 1 |
Kindergarten | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
National Longitudinal Survey… | 1 |
What Works Clearinghouse Rating
Ponce-Renova, Hector F. – Journal of New Approaches in Educational Research, 2022
This paper's objective was to teach the Equivalence Testing applied to Educational Research to emphasize recommendations and to increase quality of research. Equivalence Testing is a technique used to compare effect sizes or means of two different studies to ascertain if they would be statistically equivalent. For making accessible Equivalence…
Descriptors: Educational Research, Effect Size, Statistical Analysis, Intervals
Shieh, Gwowen – Journal of Experimental Education, 2015
Analysis of variance is one of the most frequently used statistical analyses in the behavioral, educational, and social sciences, and special attention has been paid to the selection and use of an appropriate effect size measure of association in analysis of variance. This article presents the sample size procedures for precise interval estimation…
Descriptors: Statistical Analysis, Sample Size, Computation, Effect Size
Robertson, Clare; Ramsay, Craig; Gurung, Tara; Mowatt, Graham; Pickard, Robert; Sharma, Pawana – Research Synthesis Methods, 2014
We describe our experience of using a modified version of the Cochrane risk of bias (RoB) tool for randomised and non-randomised comparative studies. Objectives: (1) To assess time to complete RoB assessment; (2) To assess inter-rater agreement; and (3) To explore the association between RoB and treatment effect size. Methods: Cochrane risk of…
Descriptors: Risk, Randomized Controlled Trials, Research Design, Comparative Analysis
Romano, Jeanine L.; Kromrey, Jeffrey D.; Owens, Corina M.; Scott, Heather M. – Journal of Experimental Education, 2011
In this study, the authors aimed to examine 8 of the different methods for computing confidence intervals around alpha that have been proposed to determine which of these, if any, is the most accurate and precise. Monte Carlo methods were used to simulate samples under known and controlled population conditions wherein the underlying item…
Descriptors: Intervals, Monte Carlo Methods, Rating Scales, Computation
Morey, Richard D.; Rouder, Jeffrey N. – Psychological Methods, 2011
Psychological theories are statements of constraint. The role of hypothesis testing in psychology is to test whether specific theoretical constraints hold in data. Bayesian statistics is well suited to the task of finding supporting evidence for constraint, because it allows for comparing evidence for 2 hypotheses against each another. One issue…
Descriptors: Evidence, Intervals, Testing, Hypothesis Testing
Zientek, Linda Reichwein; Ozel, Z. Ebrar Yetkiner; Ozel, Serkan; Allen, Jeff – Career and Technical Education Research, 2012
Confidence intervals (CIs) and effect sizes are essential to encourage meta-analytic thinking and to accumulate research findings. CIs provide a range of plausible values for population parameters with a degree of confidence that the parameter is in that particular interval. CIs also give information about how precise the estimates are. Comparison…
Descriptors: Vocational Education, Effect Size, Intervals, Self Esteem
Hart, Sara A.; Petrill, Stephen A.; Kamp Dush, Claire M. – Language, Speech, and Hearing Services in Schools, 2010
Purpose: The present study had two purposes: provide an illustration of use of the National Longitudinal Survey of Youth 1979 Children's (CNLSY; U.S. Department of Labor, 2009) database and use the database to seek convergent evidence regarding the magnitude and significance of genetic effects influencing low and typical performers on measures of…
Descriptors: Reading Comprehension, Siblings, Intervals, Genetics
Rice, Mabel L.; Smolik, Filip; Perpich, Denise; Thompson, Travis; Rytting, Nathan; Blossom, Megan – Journal of Speech, Language, and Hearing Research, 2010
Purpose: The mean length of children's utterances is a valuable estimate of their early language acquisition. The available normative data lack documentation of language and nonverbal intelligence levels of the samples. This study reports age-referenced mean length of utterance (MLU) data from children with specific language impairment (SLI) and…
Descriptors: Control Groups, Intelligence, Intervals, Morphemes
Hoffman, LaVae M. – Language, Speech, and Hearing Services in Schools, 2009
Purpose: This research investigated the applicability of the index of narrative microstructure (INMIS; L. M. Justice et al., 2006) system for narratives that were elicited through a wordless picture book context. In addition, the viability of an alternative, simpler metric was explored. Method: Narrative transcripts using the "Frog, Where Are…
Descriptors: Intervals, Picture Books, Language Impairments, Ability Grouping
Tryon, Warren W.; Lewis, Charles – Psychological Methods, 2008
Evidence of group matching frequently takes the form of a nonsignificant test of statistical difference. Theoretical hypotheses of no difference are also tested in this way. These practices are flawed in that null hypothesis statistical testing provides evidence against the null hypothesis and failing to reject H[subscript 0] is not evidence…
Descriptors: Intervals, Testing, Effect Size, Inferences
Choi, Jaehwa; Fan, Weihua; Hancock, Gregory R. – Multivariate Behavioral Research, 2009
This note suggests delta method implementations for deriving confidence intervals for a latent mean effect size measure for the case of 2 independent populations. A hypothetical kindergarten reading example using these implementations is provided, as is supporting LISREL syntax. (Contains 1 table.)
Descriptors: Intervals, Syntax, Effect Size, Evaluation Methods
Thompson, Bruce – Psychology in the Schools, 2007
The present article provides a primer on (a) effect sizes, (b) confidence intervals, and (c) confidence intervals for effect sizes. Additionally, various admonitions for reformed statistical practice are presented. For example, a very important implication of the realization that there are dozens of effect size statistics is that "authors must…
Descriptors: Intervals, Effect Size, Statistical Analysis, Statistical Significance
Williams, Jason; MacKinnon, David P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Recent advances in testing mediation have found that certain resampling methods and tests based on the mathematical distribution of 2 normal random variables substantially outperform the traditional "z" test. However, these studies have primarily focused only on models with a single mediator and 2 component paths. To address this limitation, a…
Descriptors: Intervals, Testing, Predictor Variables, Effect Size
Steiger, James H. – Psychological Methods, 2004
This article presents confidence interval methods for improving on the standard F tests in the balanced, completely between-subjects, fixed-effects analysis of variance. Exact confidence intervals for omnibus effect size measures, such as or and the root-mean-square standardized effect, provide all the information in the traditional hypothesis…
Descriptors: Intervals, Effect Size, Statistical Analysis, Evaluation Methods
Byrd, Jimmy K. – Educational Administration Quarterly, 2007
Purpose: The purpose of this study was to review research published by Educational Administration Quarterly (EAQ) during the past 10 years to determine if confidence intervals and effect sizes were being reported as recommended by the American Psychological Association (APA) Publication Manual. Research Design: The author examined 49 volumes of…
Descriptors: Research Design, Intervals, Statistical Inference, Effect Size
Previous Page | Next Page ยป
Pages: 1 | 2