ERIC Number: ED426091
Record Type: RIE
Publication Date: 1998-Nov-5
Reference Count: N/A
Conducting Repeated Measures Analyses Using Regression: The General Linear Model Lives.
Wells, Robert D.
The use of repeated measures research designs is explored. Repeated measures designs are often advantageous and can be implemented in a variety of research settings. One of the main advantages in repeated measures designs is the control of subject variability. Other advantages are the reduction of error variance and economy in subject recruitment. A disadvantage is the carry-over practice, effect of the repetition. A heuristic example is presented to illustrate the different statistical and conceptual properties of univariate and multivariate approaches when using repeated measures designs. It is demonstrated that repeated measures designs can be analyzed using analysis of variance, linear regression, and multivariate analysis of variance. In repeated measures designs, certain assumptions have to be met in order for the test statistics to be accurate. When assumptions are not met, a wide array of analytic choices is provided. The choice between univariate and multivariate analyses within repeated measures designs depends largely on the characteristics of the data. Appendixes present the Statistical Package for the Social Sciences (SPSS) program and SPSS data. (Contains 7 tables and 13 references.) (SLD)
Publication Type: Numerical/Quantitative Data; Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: General Linear Model; Repeated Measures Design; Univariate Analysis
Note: Paper presented at the Annual Meeting of the Mid-South Educational Research Association (New Orleans, LA, November 4-6, 1998).