Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

Stepwise and Simultaneous Multiple Comparison Procedures of Repeated Measures' Means

H. J. Keselman
Journal of Educational Statistics
Vol. 19, No. 2 (Summer, 1994), pp. 127-162
DOI: 10.2307/1165144
Stable URL: http://www.jstor.org/stable/1165144
Page Count: 36
  • Read Online (Free)
  • Download ($29.00)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Stepwise and Simultaneous Multiple Comparison Procedures of Repeated Measures' Means
Preview not available

Abstract

Stepwise multiple comparison procedures (MCPs) for repeated measures' means based on the methods of Hayter (1986), Hochberg (1988), Peritz (1970), Ryan (1960)-Welsch (1977a), Shaffer (1979, 1986), and Welsch (1977a) were compared for their overall familywise rates of Type I error when multisample sphericity and multivariate normality were not satisfied. Robust stepwise procedures were identified by Keselman, Keselman, and Shaffer (1991) with respect to three definitions of power. On average, Welsch's (1977a) step-up procedure was found to be the most powerful MCP.

Page Thumbnails

  • Thumbnail: Page 
127
    127
  • Thumbnail: Page 
128
    128
  • Thumbnail: Page 
129
    129
  • Thumbnail: Page 
130
    130
  • Thumbnail: Page 
131
    131
  • Thumbnail: Page 
132
    132
  • Thumbnail: Page 
133
    133
  • Thumbnail: Page 
134
    134
  • Thumbnail: Page 
135
    135
  • Thumbnail: Page 
136
    136
  • Thumbnail: Page 
137
    137
  • Thumbnail: Page 
138
    138
  • Thumbnail: Page 
139
    139
  • Thumbnail: Page 
140
    140
  • Thumbnail: Page 
141
    141
  • Thumbnail: Page 
142
    142
  • Thumbnail: Page 
143
    143
  • Thumbnail: Page 
144
    144
  • Thumbnail: Page 
145
    145
  • Thumbnail: Page 
146
    146
  • Thumbnail: Page 
147
    147
  • Thumbnail: Page 
[148]
    [148]
  • Thumbnail: Page 
[149]
    [149]
  • Thumbnail: Page 
150
    150
  • Thumbnail: Page 
[151]
    [151]
  • Thumbnail: Page 
[152]
    [152]
  • Thumbnail: Page 
[153]
    [153]
  • Thumbnail: Page 
154
    154
  • Thumbnail: Page 
155
    155
  • Thumbnail: Page 
[156]
    [156]
  • Thumbnail: Page 
[157]
    [157]
  • Thumbnail: Page 
[158]
    [158]
  • Thumbnail: Page 
159
    159
  • Thumbnail: Page 
160
    160
  • Thumbnail: Page 
161
    161
  • Thumbnail: Page 
162
    162