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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ndltd-csusb.edu-oai-scholarworks.lib.csusb.edu-etd-project-27642019-10-23T03:31:20Z Some factors that effect [sic] statistical power in ANCOVA: a population study Tvedt, Valerie Maria 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. 2000-01-01T08:00:00Z text application/pdf https://scholarworks.lib.csusb.edu/etd-project/1764 https://scholarworks.lib.csusb.edu/cgi/viewcontent.cgi?article=2764&context=etd-project Theses Digitization Project CSUSB ScholarWorks Analysis of covariance Regression analysis -- Psychological aspects Applied Behavior Analysis |
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Analysis of covariance Regression analysis -- Psychological aspects Applied Behavior Analysis |
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Analysis of covariance Regression analysis -- Psychological aspects Applied Behavior Analysis Tvedt, Valerie Maria Some factors that effect [sic] statistical power in ANCOVA: a population study |
description |
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. |
author |
Tvedt, Valerie Maria |
author_facet |
Tvedt, Valerie Maria |
author_sort |
Tvedt, Valerie Maria |
title |
Some factors that effect [sic] statistical power in ANCOVA: a population study |
title_short |
Some factors that effect [sic] statistical power in ANCOVA: a population study |
title_full |
Some factors that effect [sic] statistical power in ANCOVA: a population study |
title_fullStr |
Some factors that effect [sic] statistical power in ANCOVA: a population study |
title_full_unstemmed |
Some factors that effect [sic] statistical power in ANCOVA: a population study |
title_sort |
some factors that effect [sic] statistical power in ancova: a population study |
publisher |
CSUSB ScholarWorks |
publishDate |
2000 |
url |
https://scholarworks.lib.csusb.edu/etd-project/1764 https://scholarworks.lib.csusb.edu/cgi/viewcontent.cgi?article=2764&context=etd-project |
work_keys_str_mv |
AT tvedtvaleriemaria somefactorsthateffectsicstatisticalpowerinancovaapopulationstudy |
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1719275096346984448 |