Loading…
Canonical correlation analysis: A general parametric significance-testing system
Suggests that significance tests for 9 of the most common statistical procedures (simple correlation, t test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance, t test for correlated samples, discriminant analysis, and chi-square test of indep...
Saved in:
| Published in: | Psychological bulletin 1978-03, Vol.85 (2), p.410-416 |
|---|---|
| Main Author: | |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-a395t-34a575308bfd215f83018d89fe6278378b41252115e5c48115de9e1973a473e63 |
|---|---|
| cites | |
| container_end_page | 416 |
| container_issue | 2 |
| container_start_page | 410 |
| container_title | Psychological bulletin |
| container_volume | 85 |
| creator | Knapp, Thomas R |
| description | Suggests that significance tests for 9 of the most common statistical procedures (simple correlation,
t
test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance,
t
test for correlated samples, discriminant analysis, and chi-square test of independence) can all be treated as special cases of the test of the null hypothesis in canonical correlation analysis for 2 sets of variables. (15 ref) |
| doi_str_mv | 10.1037/0033-2909.85.2.410 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_614286108</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1296920226</sourcerecordid><originalsourceid>FETCH-LOGICAL-a395t-34a575308bfd215f83018d89fe6278378b41252115e5c48115de9e1973a473e63</originalsourceid><addsrcrecordid>eNp1kDtPwzAUhS0EEqXwB5giYE3wI05stqriJVWCAWbr1r2pXKVOsNMh_x5HRTAxneF-5-jqI-Sa0YJRUd9TKkTONdWFkgUvSkZPyIxpoXNWSnlKZr_AObmIcUcprWUlZuR9Cb7zzkKb2S4EbGFwnc_AQztGFx-yRbZFjyHdewiwxyE4m0W39a5JLW8xHzAOzm-zOMYB95fkrIE24tVPzsnn0-PH8iVfvT2_LherHISWQy5KkLUUVK2bDWeyUYIytVG6wYrXStRqXTIuOWMSpS1Vyg1qZLoWUNYCKzEnN8fdPnRfh_SC2XWHkN6OpmIlVxWjKkG3_0GM60pzyvk0xY-UDV2MARvTB7eHMBpGzaTXTPbMZM8oabhJelPp7liCHkwfRwthcLbFaNaH9g_7Bos4eAA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>614286108</pqid></control><display><type>article</type><title>Canonical correlation analysis: A general parametric significance-testing system</title><source>PsycARTICLES via EBSCO</source><creator>Knapp, Thomas R</creator><creatorcontrib>Knapp, Thomas R</creatorcontrib><description>Suggests that significance tests for 9 of the most common statistical procedures (simple correlation,
t
test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance,
t
test for correlated samples, discriminant analysis, and chi-square test of independence) can all be treated as special cases of the test of the null hypothesis in canonical correlation analysis for 2 sets of variables. (15 ref)</description><identifier>ISSN: 0033-2909</identifier><identifier>EISSN: 1939-1455</identifier><identifier>DOI: 10.1037/0033-2909.85.2.410</identifier><language>eng</language><publisher>Washington, etc: American Psychological Association</publisher><subject>Human ; Statistical Analysis ; Statistical Correlation ; Statistical Significance ; Statistical Tests</subject><ispartof>Psychological bulletin, 1978-03, Vol.85 (2), p.410-416</ispartof><rights>1978 American Psychological Association</rights><rights>1978, American Psychological Association</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a395t-34a575308bfd215f83018d89fe6278378b41252115e5c48115de9e1973a473e63</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Knapp, Thomas R</creatorcontrib><title>Canonical correlation analysis: A general parametric significance-testing system</title><title>Psychological bulletin</title><description>Suggests that significance tests for 9 of the most common statistical procedures (simple correlation,
t
test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance,
t
test for correlated samples, discriminant analysis, and chi-square test of independence) can all be treated as special cases of the test of the null hypothesis in canonical correlation analysis for 2 sets of variables. (15 ref)</description><subject>Human</subject><subject>Statistical Analysis</subject><subject>Statistical Correlation</subject><subject>Statistical Significance</subject><subject>Statistical Tests</subject><issn>0033-2909</issn><issn>1939-1455</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1978</creationdate><recordtype>article</recordtype><recordid>eNp1kDtPwzAUhS0EEqXwB5giYE3wI05stqriJVWCAWbr1r2pXKVOsNMh_x5HRTAxneF-5-jqI-Sa0YJRUd9TKkTONdWFkgUvSkZPyIxpoXNWSnlKZr_AObmIcUcprWUlZuR9Cb7zzkKb2S4EbGFwnc_AQztGFx-yRbZFjyHdewiwxyE4m0W39a5JLW8xHzAOzm-zOMYB95fkrIE24tVPzsnn0-PH8iVfvT2_LherHISWQy5KkLUUVK2bDWeyUYIytVG6wYrXStRqXTIuOWMSpS1Vyg1qZLoWUNYCKzEnN8fdPnRfh_SC2XWHkN6OpmIlVxWjKkG3_0GM60pzyvk0xY-UDV2MARvTB7eHMBpGzaTXTPbMZM8oabhJelPp7liCHkwfRwthcLbFaNaH9g_7Bos4eAA</recordid><startdate>197803</startdate><enddate>197803</enddate><creator>Knapp, Thomas R</creator><general>American Psychological Association</general><general>American Psychological Association, etc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>FIXVA</scope><scope>FKUCP</scope><scope>IOIBA</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7RZ</scope><scope>PSYQQ</scope></search><sort><creationdate>197803</creationdate><title>Canonical correlation analysis: A general parametric significance-testing system</title><author>Knapp, Thomas R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a395t-34a575308bfd215f83018d89fe6278378b41252115e5c48115de9e1973a473e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1978</creationdate><topic>Human</topic><topic>Statistical Analysis</topic><topic>Statistical Correlation</topic><topic>Statistical Significance</topic><topic>Statistical Tests</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Knapp, Thomas R</creatorcontrib><collection>CrossRef</collection><collection>Periodicals Index Online Segment 03</collection><collection>Periodicals Index Online Segment 04</collection><collection>Periodicals Index Online Segment 29</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><collection>PsycARTICLES</collection><collection>ProQuest One Psychology</collection><jtitle>Psychological bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Knapp, Thomas R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Canonical correlation analysis: A general parametric significance-testing system</atitle><jtitle>Psychological bulletin</jtitle><date>1978-03</date><risdate>1978</risdate><volume>85</volume><issue>2</issue><spage>410</spage><epage>416</epage><pages>410-416</pages><issn>0033-2909</issn><eissn>1939-1455</eissn><abstract>Suggests that significance tests for 9 of the most common statistical procedures (simple correlation,
t
test for independent samples, multiple regression analysis, 1-way ANOVA, factorial ANOVA, analysis of covariance,
t
test for correlated samples, discriminant analysis, and chi-square test of independence) can all be treated as special cases of the test of the null hypothesis in canonical correlation analysis for 2 sets of variables. (15 ref)</abstract><cop>Washington, etc</cop><pub>American Psychological Association</pub><doi>10.1037/0033-2909.85.2.410</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0033-2909 |
| ispartof | Psychological bulletin, 1978-03, Vol.85 (2), p.410-416 |
| issn | 0033-2909 1939-1455 |
| language | eng |
| recordid | cdi_proquest_journals_614286108 |
| source | PsycARTICLES via EBSCO |
| subjects | Human Statistical Analysis Statistical Correlation Statistical Significance Statistical Tests |
| title | Canonical correlation analysis: A general parametric significance-testing system |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T12%3A04%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Canonical%20correlation%20analysis:%20A%20general%20parametric%20significance-testing%20system&rft.jtitle=Psychological%20bulletin&rft.au=Knapp,%20Thomas%20R&rft.date=1978-03&rft.volume=85&rft.issue=2&rft.spage=410&rft.epage=416&rft.pages=410-416&rft.issn=0033-2909&rft.eissn=1939-1455&rft_id=info:doi/10.1037/0033-2909.85.2.410&rft_dat=%3Cproquest_cross%3E1296920226%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a395t-34a575308bfd215f83018d89fe6278378b41252115e5c48115de9e1973a473e63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=614286108&rft_id=info:pmid/&rfr_iscdi=true |