Cohen's h (original) (raw)
In statistics, Cohen's h, popularized by Jacob Cohen, is a measure of distance between two proportions or probabilities. Cohen's h has several related uses: * It can be used to describe the difference between two proportions as "small", "medium", or "large". * It can be used to determine if the difference between two proportions is "meaningful". * It can be used in calculating the sample size for a future study.
| Property | Value |
|---|---|
| dbo:abstract | In statistics, Cohen's h, popularized by Jacob Cohen, is a measure of distance between two proportions or probabilities. Cohen's h has several related uses: * It can be used to describe the difference between two proportions as "small", "medium", or "large". * It can be used to determine if the difference between two proportions is "meaningful". * It can be used in calculating the sample size for a future study. When measuring differences between proportions, Cohen's h can be used in conjunction with hypothesis testing. A "statistically significant" difference between two proportions is understood to mean that, given the data, it is likely that there is a difference in the population proportions. However, this difference might be too small to be meaningful—the statistically significant result does not tell us the size of the difference. Cohen's h, on the other hand, quantifies the size of the difference, allowing us to decide if the difference is meaningful. (en) |
| dbo:wikiPageID | 47072912 (xsd:integer) |
| dbo:wikiPageLength | 5753 (xsd:nonNegativeInteger) |
| dbo:wikiPageRevisionID | 1082245843 (xsd:integer) |
| dbo:wikiPageWikiLink | dbr:Rule_of_thumb dbc:Statistical_hypothesis_testing dbr:Sample_size_determination dbr:Estimation_statistics dbr:Effect_size dbc:Medical_statistics dbr:Statistical_significance dbr:Statistics dbr:Clinical_significance dbc:Clinical_research dbr:Cohen's_d dbr:Probability dbr:Jacob_Cohen_(statistician) dbc:Clinical_trials dbc:Biostatistics dbc:Sampling_(statistics) dbc:Effect_size dbr:Odds_ratio dbr:R_(programming_language) dbr:Statistical_hypothesis_testing dbr:Arcsine_transformation |
| dbp:wikiPageUsesTemplate | dbt:Empty_section dbt:Further dbt:Portal dbt:Quote dbt:Reflist dbt:Short_description dbt:Experimental_design dbt:Medical_research_studies dbt:Statistics |
| dct:subject | dbc:Statistical_hypothesis_testing dbc:Medical_statistics dbc:Clinical_research dbc:Clinical_trials dbc:Biostatistics dbc:Sampling_(statistics) dbc:Effect_size |
| gold:hypernym | dbr:Measure |
| rdf:type | dbo:Software |
| rdfs:comment | In statistics, Cohen's h, popularized by Jacob Cohen, is a measure of distance between two proportions or probabilities. Cohen's h has several related uses: * It can be used to describe the difference between two proportions as "small", "medium", or "large". * It can be used to determine if the difference between two proportions is "meaningful". * It can be used in calculating the sample size for a future study. (en) |
| rdfs:label | Cohen's h (en) |
| owl:sameAs | yago-res:Cohen's h wikidata:Cohen's h https://global.dbpedia.org/id/2AKBU |
| prov:wasDerivedFrom | wikipedia-en:Cohen's_h?oldid=1082245843&ns=0 |
| foaf:isPrimaryTopicOf | wikipedia-en:Cohen's_h |
| is dbo:knownFor of | dbr:Jacob_Cohen_(statistician) |
| is dbo:wikiPageRedirects of | dbr:Cohens_h |
| is dbo:wikiPageWikiLink of | dbr:Power_of_a_test dbr:Sample_size_determination dbr:Estimation_statistics dbr:Clinical_significance dbr:Jacob_Cohen_(statistician) dbr:Odds_ratio dbr:Cohens_h |
| is foaf:primaryTopic of | wikipedia-en:Cohen's_h |