Computing many-one comparisons among sample variances with the SAS system.

An SAS program for computing many-one pairwise comparisons among sample variances is described. The program caters for up to ten independent samples. Moreover, in the presence of directional predictions made prior to collecting the data, the investigator has available one-tailed alpha levels of ha...

Full description

Bibliographic Details
Published in:Educational & Psychological Measurement Vol. 57; pp. 531 - 535
Main Authors: LeBlanc, William G., Williams, Richard H.
Format: Article
Published: Sage Publications Inc. June 1997
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507583848&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 507583848
    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: June 1997
      vid: 57
      pid: 344
      pub: Sage Publications Inc.
    artinfo:
      ui:
        507583848
        10.1177/0013164497057003014
      ppf: 531
      ppct: 4
      formats:
      tig:
        atl: Computing many-one comparisons among sample variances with the SAS system.
      aug:
        au:
          LeBlanc, William G.
          Williams, Richard H.
      su:
        Statistical software
        Multiple comparisons (Statistics)
        Computer software
      sug:
        subj:
          Statistical software
          Multiple comparisons (Statistics)
          Computer software
      ab: An SAS program for computing many-one pairwise comparisons among sample variances is described. The program caters for up to ten independent samples. Moreover, in the presence of directional predictions made prior to collecting the data, the investigator has available one-tailed alpha levels of half the two-tailed magnitude.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N