NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 13 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Jiang, Ziren; Cao, Wenhao; Chu, Haitao; Bazerbachi, Fateh; Siegel, Lianne – Research Synthesis Methods, 2023
A reference interval, or an interval in which a prespecified proportion of measurements from a healthy population are expected to fall, is used to determine whether a person's measurement is typical of a healthy individual. For a specific biomarker, multiple published studies may provide data collected from healthy participants. A reference…
Descriptors: Intervals, Computation, Meta Analysis, Measurement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hongwen Guo; Matthew S. Johnson; Daniel F. McCaffrey; Lixong Gu – ETS Research Report Series, 2024
The multistage testing (MST) design has been gaining attention and popularity in educational assessments. For testing programs that have small test-taker samples, it is challenging to calibrate new items to replenish the item pool. In the current research, we used the item pools from an operational MST program to illustrate how research studies…
Descriptors: Test Items, Test Construction, Sample Size, Scaling
Peer reviewed Peer reviewed
Direct linkDirect link
Qi, Hongchao; Rizopoulos, Dimitris; Rosmalen, Joost – Research Synthesis Methods, 2023
The meta-analytic-predictive (MAP) approach is a Bayesian method to incorporate historical controls in new trials that aims to increase the statistical power and reduce the required sample size. Here we investigate how to calculate the sample size of the new trial when historical data is available, and the MAP approach is used in the analysis. In…
Descriptors: Sample Size, Computation, Meta Analysis, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Clintin P. Davis-Stober; Jason Dana; David Kellen; Sara D. McMullin; Wes Bonifay – Grantee Submission, 2023
Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…
Descriptors: Research Methodology, Sample Size, Effect Size, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
van Aert, Robbie C. M.; van Assen, Marcel A. L. M.; Viechtbauer, Wolfgang – Research Synthesis Methods, 2019
The effect sizes of studies included in a meta-analysis do often not share a common true effect size due to differences in for instance the design of the studies. Estimates of this so-called between-study variance are usually imprecise. Hence, reporting a confidence interval together with a point estimate of the amount of between-study variance…
Descriptors: Meta Analysis, Computation, Statistical Analysis, Effect Size
Peer reviewed Peer reviewed
Direct linkDirect link
Vuolo, Mike; Uggen, Christopher; Lageson, Sarah – Sociological Methods & Research, 2016
Given their capacity to identify causal relationships, experimental audit studies have grown increasingly popular in the social sciences. Typically, investigators send fictitious auditors who differ by a key factor (e.g., race) to particular experimental units (e.g., employers) and then compare treatment and control groups on a dichotomous outcome…
Descriptors: Statistical Analysis, Audits (Verification), Social Science Research, Sample Size
Peer reviewed Peer reviewed
Direct linkDirect link
Joo, Seang-hwane; Wang, Yan; Ferron, John M. – AERA Online Paper Repository, 2017
Multiple-baseline studies provide meta-analysts the opportunity to compute effect sizes based on either within-series comparisons of treatment phase to baseline phase observations, or time specific between-series comparisons of observations from those that have started treatment to observations of those that are still in baseline. The advantage of…
Descriptors: Meta Analysis, Effect Size, Hierarchical Linear Modeling, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Csibra, Gergely; Hernik, Mikolaj; Mascaro, Olivier; Tatone, Denis; Lengyel, Máté – Developmental Psychology, 2016
Looking times (LTs) are frequently measured in empirical research on infant cognition. We analyzed the statistical distribution of LTs across participants to develop recommendations for their treatment in infancy research. Our analyses focused on a common within-subject experimental design, in which longer looking to novel or unexpected stimuli is…
Descriptors: Eye Movements, Time, Statistical Distributions, Infants
Peer reviewed Peer reviewed
Direct linkDirect link
Peng, Peng; Namkung, Jessica; Barnes, Marcia; Sun, Congying – Journal of Educational Psychology, 2016
The purpose of this meta-analysis was to determine the relation between mathematics and working memory (WM) and to identify possible moderators of this relation including domains of WM, types of mathematics skills, and sample type. A meta-analysis of 110 studies with 829 effect sizes found a significant medium correlation of mathematics and WM, r…
Descriptors: Meta Analysis, Mathematics, Short Term Memory, Mathematics Skills
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Turgut, Sedat; Temur, Özlem Dogan – International Electronic Journal of Elementary Education, 2017
In this research, the effects of using game in mathematics teaching process on academic achievement in Turkey were examined by metaanalysis method. For this purpose, the average effect size value and the average effect size values of the moderator variables (education level, the field of education, game type, implementation period and sample size)…
Descriptors: Educational Games, Teaching Methods, Mathematics Achievement, Meta Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Weitzman, R. A. – Journal of Educational and Behavioral Statistics, 2006
Focusing on a single sample obtained randomly with replacement from a single population, this article examines the regression of population on sample proportions and develops an unbiased estimator of the square of the correlation between them. This estimator turns out to be the regression coefficient. Use of the squared-correlation estimator as a…
Descriptors: Sample Size, Intervals, Credibility, Computation
Bloom, Howard S. – MDRC, 2006
This chapter examines the core analytic elements of randomized experiments for social research. Its goal is to provide a compact discussion for faculty members, graduate students, and applied researchers of the design and analysis of randomized experiments for measuring the impacts of social or educational interventions. Design issues considered…
Descriptors: Research Methodology, Research Design, Experiments, Social Science Research
Daniel, Thomas – 1992
This paper studies statistical procedures used in the "Journal of Research in Music Education" (JRME) over a 5-year period (1987 through 1991). The results are compared with those of L. D. Goodwin and W. L. Goodwin (1985) concerning the "American Educational Research Journal" for the same period. In all, 78 quantitative and 31…
Descriptors: Computation, Computer Software, Educational Research, Educational Trends