Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Effect Size | 6 |
| Graphs | 6 |
| Sample Size | 6 |
| Meta Analysis | 4 |
| Research Design | 3 |
| Comparative Analysis | 2 |
| Correlation | 2 |
| Statistical Analysis | 2 |
| Academic Achievement | 1 |
| Behavior Disorders | 1 |
| Bias | 1 |
| More ▼ | |
Author
| Gage, Nicholas A. | 1 |
| Harrison, Sean | 1 |
| Higgins, Julian P. T. | 1 |
| Jones, Hayley E. | 1 |
| Lewis, Sarah J. | 1 |
| Lewis, Timothy J. | 1 |
| Lin, Lifeng | 1 |
| Martin, Richard M. | 1 |
| Rios, Joseph A. | 1 |
| Sireci, Stephen G. | 1 |
| Smoot, Sharene | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Research | 4 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLin, Lifeng – Research Synthesis Methods, 2019
Assessing publication bias is a critical procedure in meta-analyses for rating the synthesized overall evidence. Because statistical tests for publication bias are usually not powerful and only give "P" values that inform either the presence or absence of the bias, examining the asymmetry of funnel plots has been popular to investigate…
Descriptors: Meta Analysis, Sample Size, Graphs, Bias
Harrison, Sean; Jones, Hayley E.; Martin, Richard M.; Lewis, Sarah J.; Higgins, Julian P. T. – Research Synthesis Methods, 2017
Meta-analyses combine the results of multiple studies of a common question. Approaches based on effect size estimates from each study are generally regarded as the most informative. However, these methods can only be used if comparable effect sizes can be computed from each study, and this may not be the case due to variation in how the studies…
Descriptors: Meta Analysis, Sample Size, Effect Size, Comparative Analysis
Thomson, Hilary J.; Thomas, Sian – Research Synthesis Methods, 2013
Visual display of reported impacts is a valuable aid to both reviewers and readers of systematic reviews. Forest plots are routinely prepared to report standardised effect sizes, but where standardised effect sizes are not available for all included studies a forest plot may misrepresent the available evidence. Tabulated data summaries to…
Descriptors: Graphs, Effect Size, Statistical Data, Housing
Sireci, Stephen G.; Rios, Joseph A. – Educational Research and Evaluation, 2013
There are numerous statistical procedures for detecting items that function differently across subgroups of examinees that take a test or survey. However, in endeavouring to detect items that may function differentially, selection of the statistical method is only one of many important decisions. In this article, we discuss the important decisions…
Descriptors: Effect Size, Test Bias, Item Analysis, Statistical Analysis
Gage, Nicholas A.; Lewis, Timothy J. – Journal of Special Education, 2014
The identification of evidence-based practices continues to provoke issues of disagreement across multiple fields. One area of contention is the role of single-subject design (SSD) research in providing scientific evidence. The debate about SSD's utility centers on three issues: sample size, effect size, and serial dependence. One potential…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Sample Size
Download full textSmoot, Sharene; And Others – 1990
This study was designed to find: a suitable effect size (ES) measure or common metric (CM) for comparing the results of a set of single subject research (SSR) studies; and an easy way to convert the published graphs back into raw data from which ESs could be calculated. To meet the first objective, three possible formulas for measuring treatment…
Descriptors: Behavior Disorders, Comparative Analysis, Computer Uses in Education, Educational Research
