Symmetry, quasi-symmetry, and marginal homogeneity on the latent level
(Quasi-)symmetry models can be applied to panel and trend data in many ways, some of which are seemingly totally unrelated to the concept of (quasi-)symmetry. Log-linear models are very well suited to estimate the amount of (quasi-)symmetry in a square frequency table. Log-linear models with latent...
Gespeichert in:
| Veröffentlicht in: | Social science research 1986-09, Vol.15 (3), p.241-255 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 255 |
|---|---|
| container_issue | 3 |
| container_start_page | 241 |
| container_title | Social science research |
| container_volume | 15 |
| creator | Hagenaars, Jacques A |
| description | (Quasi-)symmetry models can be applied to panel and trend data in many ways, some of which are seemingly totally unrelated to the concept of (quasi-)symmetry. Log-linear models are very well suited to estimate the amount of (quasi-)symmetry in a square frequency table. Log-linear models with latent variables make it possible to assess the (quasi-)symmetrical nature of the multivariate distributions of the latent variables, thereby correcting for the unreliability in the measurement of the manifest variables. Latent (quasi-)symmetry models can be applied by introducing a slight extension of Goodman's well-known version of the EM-algorithm for the estimation and testing of latent structure models. |
| doi_str_mv | 10.1016/0049-089X(86)90007-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_61113523</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>0049089X86900074</els_id><sourcerecordid>61113523</sourcerecordid><originalsourceid>FETCH-LOGICAL-c396t-e8ea016612a3267b7dd0de9737ba3596a2260d2b9ab5df940f82311fa1dfe2913</originalsourceid><addsrcrecordid>eNqFkUtLAzEQgIMoWB__wMOCIAquziTb7OYiSLEqFDyo4C2km1lN2UebbIX-e1MrPXjQwzAMfDPMfMPYCcIVAsprgEylUKi380JeKADI02yHDRCUTEFgvssGW2SfHYQwA0CUUAzY-HnVNNT71WWyWJrg0rCtTWuTxvh315o6-eia7p1acv0q6dqk_6CkNj21fVLTJ9VHbK8ydaDjn3zIXsd3L6OHdPJ0_zi6naSlULJPqSATF5bIjeAyn-bWgiWVi3xqxFBJw7kEy6fKTIe2UhlUBReIlUFbEVcoDtnZZu7cd4slhV43LpRU16albhm0REQx5OJ_EFSex4jg6S9w1i19PDloFFETDFXGI5VtqNJ3IXiq9Ny7KGelEfT6B3otWK8F60Lq7x_oLLbdbNooOvl05HUoHbUlWeep7LXt3N8DvgCZz4zt</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1300105942</pqid></control><display><type>article</type><title>Symmetry, quasi-symmetry, and marginal homogeneity on the latent level</title><source>Elsevier ScienceDirect Journals</source><source>Worldwide Political Science Abstracts</source><source>Sociological Abstracts</source><source>Periodicals Index Online</source><creator>Hagenaars, Jacques A</creator><creatorcontrib>Hagenaars, Jacques A</creatorcontrib><description>(Quasi-)symmetry models can be applied to panel and trend data in many ways, some of which are seemingly totally unrelated to the concept of (quasi-)symmetry. Log-linear models are very well suited to estimate the amount of (quasi-)symmetry in a square frequency table. Log-linear models with latent variables make it possible to assess the (quasi-)symmetrical nature of the multivariate distributions of the latent variables, thereby correcting for the unreliability in the measurement of the manifest variables. Latent (quasi-)symmetry models can be applied by introducing a slight extension of Goodman's well-known version of the EM-algorithm for the estimation and testing of latent structure models.</description><identifier>ISSN: 0049-089X</identifier><identifier>EISSN: 1096-0317</identifier><identifier>DOI: 10.1016/0049-089X(86)90007-4</identifier><identifier>CODEN: SSREBG</identifier><language>eng</language><publisher>San Diego, Calif: Elsevier Inc</publisher><subject>Loglinear Analysis ; Methodology ; Methodology (Data Analysis) ; Quantitative Methods ; Social science</subject><ispartof>Social science research, 1986-09, Vol.15 (3), p.241-255</ispartof><rights>1986</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-e8ea016612a3267b7dd0de9737ba3596a2260d2b9ab5df940f82311fa1dfe2913</citedby><cites>FETCH-LOGICAL-c396t-e8ea016612a3267b7dd0de9737ba3596a2260d2b9ab5df940f82311fa1dfe2913</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/0049089X86900074$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27848,27903,27904,33754,65309</link.rule.ids></links><search><creatorcontrib>Hagenaars, Jacques A</creatorcontrib><title>Symmetry, quasi-symmetry, and marginal homogeneity on the latent level</title><title>Social science research</title><description>(Quasi-)symmetry models can be applied to panel and trend data in many ways, some of which are seemingly totally unrelated to the concept of (quasi-)symmetry. Log-linear models are very well suited to estimate the amount of (quasi-)symmetry in a square frequency table. Log-linear models with latent variables make it possible to assess the (quasi-)symmetrical nature of the multivariate distributions of the latent variables, thereby correcting for the unreliability in the measurement of the manifest variables. Latent (quasi-)symmetry models can be applied by introducing a slight extension of Goodman's well-known version of the EM-algorithm for the estimation and testing of latent structure models.</description><subject>Loglinear Analysis</subject><subject>Methodology</subject><subject>Methodology (Data Analysis)</subject><subject>Quantitative Methods</subject><subject>Social science</subject><issn>0049-089X</issn><issn>1096-0317</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1986</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><sourceid>BHHNA</sourceid><sourceid>7UB</sourceid><recordid>eNqFkUtLAzEQgIMoWB__wMOCIAquziTb7OYiSLEqFDyo4C2km1lN2UebbIX-e1MrPXjQwzAMfDPMfMPYCcIVAsprgEylUKi380JeKADI02yHDRCUTEFgvssGW2SfHYQwA0CUUAzY-HnVNNT71WWyWJrg0rCtTWuTxvh315o6-eia7p1acv0q6dqk_6CkNj21fVLTJ9VHbK8ydaDjn3zIXsd3L6OHdPJ0_zi6naSlULJPqSATF5bIjeAyn-bWgiWVi3xqxFBJw7kEy6fKTIe2UhlUBReIlUFbEVcoDtnZZu7cd4slhV43LpRU16albhm0REQx5OJ_EFSex4jg6S9w1i19PDloFFETDFXGI5VtqNJ3IXiq9Ny7KGelEfT6B3otWK8F60Lq7x_oLLbdbNooOvl05HUoHbUlWeep7LXt3N8DvgCZz4zt</recordid><startdate>19860901</startdate><enddate>19860901</enddate><creator>Hagenaars, Jacques A</creator><general>Elsevier Inc</general><general>Academic Press, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>HFIND</scope><scope>HQAFP</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>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>WZK</scope><scope>7UB</scope></search><sort><creationdate>19860901</creationdate><title>Symmetry, quasi-symmetry, and marginal homogeneity on the latent level</title><author>Hagenaars, Jacques A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-e8ea016612a3267b7dd0de9737ba3596a2260d2b9ab5df940f82311fa1dfe2913</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1986</creationdate><topic>Loglinear Analysis</topic><topic>Methodology</topic><topic>Methodology (Data Analysis)</topic><topic>Quantitative Methods</topic><topic>Social science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hagenaars, Jacques A</creatorcontrib><collection>CrossRef</collection><collection>Periodicals Index Online Segment 16</collection><collection>Periodicals Index Online Segment 23</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>Sociological Abstracts (pre-2017)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><collection>Worldwide Political Science Abstracts</collection><jtitle>Social science research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hagenaars, Jacques A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Symmetry, quasi-symmetry, and marginal homogeneity on the latent level</atitle><jtitle>Social science research</jtitle><date>1986-09-01</date><risdate>1986</risdate><volume>15</volume><issue>3</issue><spage>241</spage><epage>255</epage><pages>241-255</pages><issn>0049-089X</issn><eissn>1096-0317</eissn><coden>SSREBG</coden><abstract>(Quasi-)symmetry models can be applied to panel and trend data in many ways, some of which are seemingly totally unrelated to the concept of (quasi-)symmetry. Log-linear models are very well suited to estimate the amount of (quasi-)symmetry in a square frequency table. Log-linear models with latent variables make it possible to assess the (quasi-)symmetrical nature of the multivariate distributions of the latent variables, thereby correcting for the unreliability in the measurement of the manifest variables. Latent (quasi-)symmetry models can be applied by introducing a slight extension of Goodman's well-known version of the EM-algorithm for the estimation and testing of latent structure models.</abstract><cop>San Diego, Calif</cop><pub>Elsevier Inc</pub><doi>10.1016/0049-089X(86)90007-4</doi><tpages>15</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0049-089X |
| ispartof | Social science research, 1986-09, Vol.15 (3), p.241-255 |
| issn | 0049-089X 1096-0317 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_61113523 |
| source | Elsevier ScienceDirect Journals; Worldwide Political Science Abstracts; Sociological Abstracts; Periodicals Index Online |
| subjects | Loglinear Analysis Methodology Methodology (Data Analysis) Quantitative Methods Social science |
| title | Symmetry, quasi-symmetry, and marginal homogeneity on the latent level |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T02%3A08%3A44IST&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=Symmetry,%20quasi-symmetry,%20and%20marginal%20homogeneity%20on%20the%20latent%20level&rft.jtitle=Social%20science%20research&rft.au=Hagenaars,%20Jacques%20A&rft.date=1986-09-01&rft.volume=15&rft.issue=3&rft.spage=241&rft.epage=255&rft.pages=241-255&rft.issn=0049-089X&rft.eissn=1096-0317&rft.coden=SSREBG&rft_id=info:doi/10.1016/0049-089X(86)90007-4&rft_dat=%3Cproquest_cross%3E61113523%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1300105942&rft_id=info:pmid/&rft_els_id=0049089X86900074&rfr_iscdi=true |