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Intraclass Correlation Values for Planning Group-Randomized Trials in Education
Experiments that assign intact groups to treatment conditions are increasingly common in social research. In educational research, the groups assigned are often schools. The design of grouprandomized experiments requires knowledge of the intraclass correlation structure to compute statistical power...
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| Published in: | Educational evaluation and policy analysis 2007-03, Vol.29 (1), p.60-87 |
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| Main Authors: | , |
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| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c417t-b70e6c3865d6306783d7cf1eb2e35b16c3880b0487b01c3d2d64844a088c34eb3 |
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| cites | cdi_FETCH-LOGICAL-c417t-b70e6c3865d6306783d7cf1eb2e35b16c3880b0487b01c3d2d64844a088c34eb3 |
| container_end_page | 87 |
| container_issue | 1 |
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| container_title | Educational evaluation and policy analysis |
| container_volume | 29 |
| creator | Hedges, Larry V. Hedberg, E. C. |
| description | Experiments that assign intact groups to treatment conditions are increasingly common in social research. In educational research, the groups assigned are often schools. The design of grouprandomized experiments requires knowledge of the intraclass correlation structure to compute statistical power and sample sizes required to achieve adequate power This article provides a compilation of intraclass correlation values of academic achievement and related covariate effects that could be used for planning group-randomized experiments in education. It also provides variance component information that is useful in planning experiments involving covariates. The use of these values to compute the statistical power of group-randomized experiments is illustrated. |
| doi_str_mv | 10.3102/0162373707299706 |
| format | article |
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The use of these values to compute the statistical power of group-randomized experiments is illustrated.</description><identifier>ISSN: 0162-3737</identifier><identifier>EISSN: 1935-1062</identifier><identifier>DOI: 10.3102/0162373707299706</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Academic Achievement ; Base year ; Comprehensive Tests of Basic Skills ; Correlation ; Correlations ; Demography ; Design of experiments ; Early Childhood Longitudinal Survey ; Education ; Educational Research ; Effect Size ; Elementary Secondary Education ; Estimates ; Experiments ; Intervention ; Intraclass Correlation ; Longitudinal studies ; Low Achievement ; Mathematical models ; Mathematics Achievement ; Mathematics Tests ; Medical treatment ; Pretests ; Pretests Posttests ; Probability ; Public health ; Reading Achievement ; Reading Tests ; Sample Size ; Socioeconomic Status ; Standard error ; Statistical Analysis ; Statistical variance ; Studies ; Urban Schools</subject><ispartof>Educational evaluation and policy analysis, 2007-03, Vol.29 (1), p.60-87</ispartof><rights>Copyright 2007 American Educational Research Association</rights><rights>Copyright American Educational Research Association Mar 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c417t-b70e6c3865d6306783d7cf1eb2e35b16c3880b0487b01c3d2d64844a088c34eb3</citedby><cites>FETCH-LOGICAL-c417t-b70e6c3865d6306783d7cf1eb2e35b16c3880b0487b01c3d2d64844a088c34eb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/197238076/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/197238076?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21377,21393,27865,27923,27924,33610,33876,43732,43879,58237,58470,74092,74268,79235</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ782420$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Hedges, Larry V.</creatorcontrib><creatorcontrib>Hedberg, E. C.</creatorcontrib><title>Intraclass Correlation Values for Planning Group-Randomized Trials in Education</title><title>Educational evaluation and policy analysis</title><description>Experiments that assign intact groups to treatment conditions are increasingly common in social research. In educational research, the groups assigned are often schools. The design of grouprandomized experiments requires knowledge of the intraclass correlation structure to compute statistical power and sample sizes required to achieve adequate power This article provides a compilation of intraclass correlation values of academic achievement and related covariate effects that could be used for planning group-randomized experiments in education. It also provides variance component information that is useful in planning experiments involving covariates. 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| ispartof | Educational evaluation and policy analysis, 2007-03, Vol.29 (1), p.60-87 |
| issn | 0162-3737 1935-1062 |
| language | eng |
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| source | Education Collection (Proquest) (PQ_SDU_P3); JSTOR Archival Journals and Primary Sources Collection; Social Science Premium Collection (Proquest) (PQ_SDU_P3); PAIS Index; ERIC; Sage Journals Online |
| subjects | Academic Achievement Base year Comprehensive Tests of Basic Skills Correlation Correlations Demography Design of experiments Early Childhood Longitudinal Survey Education Educational Research Effect Size Elementary Secondary Education Estimates Experiments Intervention Intraclass Correlation Longitudinal studies Low Achievement Mathematical models Mathematics Achievement Mathematics Tests Medical treatment Pretests Pretests Posttests Probability Public health Reading Achievement Reading Tests Sample Size Socioeconomic Status Standard error Statistical Analysis Statistical variance Studies Urban Schools |
| title | Intraclass Correlation Values for Planning Group-Randomized Trials in Education |
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