R: O'Brien and Kaiser's Repeated-Measures Data

OBrienKaiser {car} | R Documentation

## O'Brien and Kaiser's Repeated-Measures Data

### Description

These contrived repeated-measures data are taken from O'Brien and Kaiser (1985). The data are from an imaginary study in which 16 female and male subjects, who are divided into three treatments, are measured at a pretest, postest, and a follow-up session; during each session, they are measured at five occasions at intervals of one hour. The design, therefore, has two between-subject and two within-subject factors.

The contrasts for the `treatment` factor are set to -2, 1, 1 and 0, -1, 1. The contrasts for the `gender` factor are set to `contr.sum`.

### Usage

    OBrienKaiser

### Format

A data frame with 16 observations on the following 17 variables.

`treatment`

  a factor with levels `control` `A` `B`

`gender`

  a factor with levels `F` `M`

`pre.1`

  pretest, hour 1

`pre.2`

  pretest, hour 2

`pre.3`

  pretest, hour 3

`pre.4`

  pretest, hour 4

`pre.5`

  pretest, hour 5

`post.1`

  posttest, hour 1

`post.2`

  posttest, hour 2

`post.3`

  posttest, hour 3

`post.4`

  posttest, hour 4

`post.5`

  posttest, hour 5

`fup.1`

  follow-up, hour 1

`fup.2`

  follow-up, hour 2

`fup.3`

  follow-up, hour 3

`fup.4`

  follow-up, hour 4

`fup.5`

  follow-up, hour 5

### Source

O'Brien, R. G., and Kaiser, M. K. (1985) MANOVA method for analyzing repeated measures designs: An extensive primer. Psychological Bulletin 97, 316–333, Table 7.

### Examples

    OBrienKaiser
    contrasts(OBrienKaiser$treatment)
    contrasts(OBrienKaiser$gender)

[Package car version 2.1-4 Index]