Key result
Growth curve modeling provides a more informative alternative to traditional ANOVA and MANOVA by characterizing both group-level and individual-level effects in repeated measures designs.
Design
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May enhance repeated measures analysis in psychophysiology; leaves open effects on cardiovascular inferences pending validation.
Growth curve modeling provides a more comprehensive understanding of repeated measures data in psychophysiology compared to traditional ANOVA methods by capturing both group and individual-level effects.
Kristjansson et al. (2007) reported a review. Growth curve modeling vs. Repeated measures ANOVA and MANOVA was evaluated. Growth curve modeling provides a more informative alternative to traditional ANOVA and MANOVA by characterizing both group-level and individual-level effects in repeated measures designs.
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