Scheffe-Marascuilo Comparisons among Independent Binomial Samples
A large-sample technique attributable to Leonard Marascuilo, which is based on Henry Scheffe's well-known multiple comparison procedure, was programmed with the SAS System. The focus was on comparisons among independent binomial samples. As in Scheffe's "data snooping" analytic m...
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Veröffentlicht in: | Educational and psychological measurement 1997-12, Vol.57 (6), p.1047-1051 |
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description | A large-sample technique attributable to Leonard Marascuilo, which is based on Henry Scheffe's well-known multiple comparison procedure, was programmed with the SAS System. The focus was on comparisons among independent binomial samples. As in Scheffe's "data snooping" analytic method, the comparisons can be planned or post hoc, they can be simple or complex, and they need not be orthogonal, but none of them will be statistically significant unless the omnibus statistic, which in this case is chi-square rather than F, is statistically significant. This SAS program can be applied when thedesign is not balanced. |
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The focus was on comparisons among independent binomial samples. As in Scheffe's "data snooping" analytic method, the comparisons can be planned or post hoc, they can be simple or complex, and they need not be orthogonal, but none of them will be statistically significant unless the omnibus statistic, which in this case is chi-square rather than F, is statistically significant. This SAS program can be applied when thedesign is not balanced.</description><identifier>ISSN: 0013-1644</identifier><identifier>EISSN: 1552-3888</identifier><identifier>DOI: 10.1177/0013164497057006013</identifier><identifier>CODEN: EPMEAJ</identifier><language>eng</language><publisher>Thousand Oaks, CA: SAGE Publications</publisher><subject>Binomial distribution ; Binomials ; Biological and medical sciences ; Comparative Analysis ; Computer processing ; Computer Software ; Computers ; Educational evaluation ; Fundamental and applied biological sciences. Psychology ; Measurement Techniques ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Psychometrics. Statistics. Methodology ; Racial Composition ; Research Design ; Sample Size ; Sampling ; Statistical Analysis ; Statistical Analysis System ; Statistical methods ; Statistical Significance ; Statistical software ; Statistics. Mathematics ; Test Items ; Test methods</subject><ispartof>Educational and psychological measurement, 1997-12, Vol.57 (6), p.1047-1051</ispartof><rights>1998 INIST-CNRS</rights><rights>COPYRIGHT 1997 Sage Publications, Inc.</rights><rights>Copyright Sage Publications, Inc. Dec 1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a469t-cdec354a1a2aa425e2bd7ededfdaa2610dade1ca8618879d3b9418e57162c6173</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0013164497057006013$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0013164497057006013$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27869,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ554832$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2058129$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>LeBlanc, William G.</creatorcontrib><creatorcontrib>Williams, Richard H.</creatorcontrib><title>Scheffe-Marascuilo Comparisons among Independent Binomial Samples</title><title>Educational and psychological measurement</title><description>A large-sample technique attributable to Leonard Marascuilo, which is based on Henry Scheffe's well-known multiple comparison procedure, was programmed with the SAS System. The focus was on comparisons among independent binomial samples. As in Scheffe's "data snooping" analytic method, the comparisons can be planned or post hoc, they can be simple or complex, and they need not be orthogonal, but none of them will be statistically significant unless the omnibus statistic, which in this case is chi-square rather than F, is statistically significant. This SAS program can be applied when thedesign is not balanced.</description><subject>Binomial distribution</subject><subject>Binomials</subject><subject>Biological and medical sciences</subject><subject>Comparative Analysis</subject><subject>Computer processing</subject><subject>Computer Software</subject><subject>Computers</subject><subject>Educational evaluation</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Measurement Techniques</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychometrics. Statistics. Methodology</subject><subject>Racial Composition</subject><subject>Research Design</subject><subject>Sample Size</subject><subject>Sampling</subject><subject>Statistical Analysis</subject><subject>Statistical Analysis System</subject><subject>Statistical methods</subject><subject>Statistical Significance</subject><subject>Statistical software</subject><subject>Statistics. 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Psychology</topic><topic>Measurement Techniques</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychometrics. Statistics. Methodology</topic><topic>Racial Composition</topic><topic>Research Design</topic><topic>Sample Size</topic><topic>Sampling</topic><topic>Statistical Analysis</topic><topic>Statistical Analysis System</topic><topic>Statistical methods</topic><topic>Statistical Significance</topic><topic>Statistical software</topic><topic>Statistics. 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subjects | Binomial distribution Binomials Biological and medical sciences Comparative Analysis Computer processing Computer Software Computers Educational evaluation Fundamental and applied biological sciences. Psychology Measurement Techniques Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics. Statistics. Methodology Racial Composition Research Design Sample Size Sampling Statistical Analysis Statistical Analysis System Statistical methods Statistical Significance Statistical software Statistics. Mathematics Test Items Test methods |
title | Scheffe-Marascuilo Comparisons among Independent Binomial Samples |
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