Some factors that effect [sic] statistical power in ANCOVA: a population study
A study into the factors that affect power in an analysis of covariance (ANCOVA) design were examined. Four factors - sample size, significance level, dependent variable-covariate correlations and homogeneity of regression - were varied in a population study. Results indicate that power increased wh...
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| Format: | Others |
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CSUSB ScholarWorks
2000
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| Online Access: | https://scholarworks.lib.csusb.edu/etd-project/1764 https://scholarworks.lib.csusb.edu/cgi/viewcontent.cgi?article=2764&context=etd-project |
| Summary: | A study into the factors that affect power in an analysis of covariance (ANCOVA) design were examined. Four factors - sample size, significance level, dependent variable-covariate correlations and homogeneity of regression - were varied in a population study. Results indicate that power increased when the dependent variable-covariate correlations increased and when sample size increased. Power also increased when a less stringent alpha level was used. Homogeneity of regression did not effect power. Implications and recommendations for the applied researcher are discussed. |
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