Scheffe-Marascuilo comparisons among independent binomial samples.
The writers describe an SAS computer program, based on Scheffe's well-known multiple comparison procedure, for computing comparisons among k independent binomial samples. As in Scheffe's “data snooping” analytic technique, the comparisons can be planned or post hoc and can also be simple or complex...
| Publicado en: | Educational & Psychological Measurement Vol. 57; pp. 1047 - 1052 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
December 1997
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507607222&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507607222 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: N pubinfo: dt: December 1997 vid: 57 pid: 344 pub: Sage Publications Inc. artinfo: ui: 507607222 10.1177/0013164497057006013 ppf: 1047 ppct: 5 formats: tig: atl: Scheffe-Marascuilo comparisons among independent binomial samples. aug: au: LeBlanc, William G. Williams, Richard H. su: Multiple comparisons (Statistics) Statistical software Computer software sug: subj: Multiple comparisons (Statistics) Statistical software Computer software ab: The writers describe an SAS computer program, based on Scheffe's well-known multiple comparison procedure, for computing comparisons among k independent binomial samples. As in Scheffe's “data snooping” analytic technique, the comparisons can be planned or post hoc and can also be simple or complex. Although the comparisons do not have to be orthogonal, none will be statistically significant unless the omnibus statistic, which is chi-square, is statistically significant. In general, this SAS program can be utilized when the design is not balanced. Details regarding the program's availability are provided. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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