The Pressing Need to Test for Autocorrelation: Comparison of Repeated Measures ANOVA and Interrupted Time Series Autoregressive Models
Neglecting to measure autocorrelation in longitudinal research methods such as Repeated Measures (RM) ANOVA produces invalid results. Using simulated time series data varying on autocorrelation, this paper compares the performance of repeated measures analysis of variance (RM ANOVA) to interrupted t...
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| Format: | Article |
| Language: | English |
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University of Arizona Libraries
2019-06-01
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| Series: | Journal of Methods and Measurement in the Social Sciences |
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| Online Access: | https://journals.uair.arizona.edu/index.php/jmmss/article/view/23487 |