Repeated measures experiments are appropriate when multiple measures of a dependent variable are taken on the same subjects or objects or matched subjects or objects under different conditions or over two or more time periods. Repeated measures cover a broad range of research models, from comparison of two treatments on the same subjects to comparisons of multiple treatments on multiple levels of two or more factors on the same subjects and to assessing the differences in means among several related scales that share the same system of measurement.
The terminology used for repeated measures varies among researchers and statisticians. For example, repeated measures designs are also known as repeated measures analysis of variance (ANOVA), repeated measures factors, or within-subjects designs. However, repeated measures may be performed ...
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