Investigating Science Education Effect Sizes: Implications for Power Analyses and Programmatic Decisions
| Autor: | Christopher D. Wilson, Susan M. Kowalski, Sandra Jo Wilson, Elizabeth Tipton, Joshua R. Polanin, Molly Stuhlsatz, Joseph A. Taylor, Karen M. Askinas |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Program evaluation
Research design Management science Computer science 05 social sciences 050401 social sciences methods 050301 education Science education Education Power (social and political) Intervention (law) Educational research 0504 sociology Meta-analysis Developmental and Educational Psychology A priori and a posteriori lcsh:L 0503 education Social Sciences (miscellaneous) lcsh:Education |
| Zdroj: | AERA Open, Vol 4 (2018) |
| ISSN: | 2332-8584 |
| Popis: | A priori power analyses allow researchers to estimate the number of participants needed to detect the effects of an intervention. However, power analyses are only as valid as the parameter estimates used. One such parameter, the expected effect size, can vary greatly depending on several study characteristics, including the nature of the intervention, developer of the outcome measure, and age of the participants. Researchers should understand this variation when designing studies. Our meta-analysis examines the relationship between science education intervention effect sizes and a host of study characteristics, allowing primary researchers to access better estimates of effect sizes for a priori power analyses. The results of this meta-analysis also support programmatic decisions by setting realistic expectations about the typical magnitude of impacts for science education interventions. |
| Databáze: | OpenAIRE |
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