Analysis of Ordinal Data to Detect Population Differences
The performance of selected parametric and nonparametric tests of location and scale differences are compared on the basis of sampling results from simulated populations of Likert-scale response ordinal data. Additionally, an omnibus test of distributional equality was examined. Type I and Type II e...
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Veröffentlicht in: | Psychological bulletin 1987-01, Vol.101 (1), p.159-165 |
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description | The performance of selected parametric and nonparametric tests of location and scale differences are compared on the basis of sampling results from simulated populations of Likert-scale response ordinal data. Additionally, an omnibus test of distributional equality was examined. Type I and Type II error rates for all procedures examined do not indicate any clear-cut superiority for either type of test (parametric vs. nonparametric). Moreover, when sampling from disparate populations, the nonparametric tests of median equality are as sensitive to heterogeneous variances as the parametric test of mean equality. |
doi_str_mv | 10.1037/0033-2909.101.1.159 |
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G ; Driver, B. L</creator><creatorcontrib>Gregoire, T. G ; Driver, B. L</creatorcontrib><description>The performance of selected parametric and nonparametric tests of location and scale differences are compared on the basis of sampling results from simulated populations of Likert-scale response ordinal data. Additionally, an omnibus test of distributional equality was examined. Type I and Type II error rates for all procedures examined do not indicate any clear-cut superiority for either type of test (parametric vs. nonparametric). 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L</creatorcontrib><title>Analysis of Ordinal Data to Detect Population Differences</title><title>Psychological bulletin</title><description>The performance of selected parametric and nonparametric tests of location and scale differences are compared on the basis of sampling results from simulated populations of Likert-scale response ordinal data. Additionally, an omnibus test of distributional equality was examined. Type I and Type II error rates for all procedures examined do not indicate any clear-cut superiority for either type of test (parametric vs. nonparametric). Moreover, when sampling from disparate populations, the nonparametric tests of median equality are as sensitive to heterogeneous variances as the parametric test of mean equality.</description><subject>Biological and medical sciences</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Nonparametric Statistical Tests</subject><subject>Parametric Statistical Tests</subject><subject>Population (Statistics)</subject><subject>Psychology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychometrics. Statistics. Methodology</subject><subject>Statistical Sample Parameters</subject><subject>Statistics</subject><subject>Statistics. 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G</au><au>Driver, B. L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Ordinal Data to Detect Population Differences</atitle><jtitle>Psychological bulletin</jtitle><date>1987-01</date><risdate>1987</risdate><volume>101</volume><issue>1</issue><spage>159</spage><epage>165</epage><pages>159-165</pages><issn>0033-2909</issn><eissn>1939-1455</eissn><coden>PSBUAI</coden><abstract>The performance of selected parametric and nonparametric tests of location and scale differences are compared on the basis of sampling results from simulated populations of Likert-scale response ordinal data. Additionally, an omnibus test of distributional equality was examined. Type I and Type II error rates for all procedures examined do not indicate any clear-cut superiority for either type of test (parametric vs. nonparametric). Moreover, when sampling from disparate populations, the nonparametric tests of median equality are as sensitive to heterogeneous variances as the parametric test of mean equality.</abstract><cop>Washington, DC</cop><pub>American Psychological Association</pub><doi>10.1037/0033-2909.101.1.159</doi><tpages>7</tpages></addata></record> |
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subjects | Biological and medical sciences Fundamental and applied biological sciences. Psychology Human Nonparametric Statistical Tests Parametric Statistical Tests Population (Statistics) Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics. Statistics. Methodology Statistical Sample Parameters Statistics Statistics. Mathematics |
title | Analysis of Ordinal Data to Detect Population Differences |
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