{"id":"https://openalex.org/W1531051740","doi":null,"title":"Categorization and measurement quality. The choice between Pearson and Polychoric correlations","display_name":"Categorization and measurement quality. The choice between Pearson and Polychoric correlations","publication_year":1995,"publication_date":"1995-01-01","ids":{"openalex":"https://openalex.org/W1531051740","mag":"1531051740"},"language":"en","primary_location":{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/bb087270-8fca-4602-abed-837139b3ff03","doi":null,"is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/categorization-and-measurement-quality-the-choice-between-pearson-and-polychoric-correlations(bb087270-8fca-4602-abed-837139b3ff03).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saris, W E & Coenders, G 1995, Categorization and measurement quality. The choice between Pearson and Polychoric correlations. in A Munnich & W E Saris (eds), Multitrait Multimethod approach to evaluate measurement instruments. Budapest, pp. 125-145.","raw_type":"info:eu-repo/semantics/bookPart"},"volume":null,"type":"book-chapter","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076448293","display_name":"Willem Egbert Saris","orcid":"https://orcid.org/0000-0002-2513-8589","observed_orcids":["https://orcid.org/0000-0002-2513-8589"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Willem E. Saris","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2513-8589","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5039511070","display_name":"Germ\u00e0 Coenders","orcid":"https://orcid.org/0000-0002-5204-6882","observed_orcids":["https://orcid.org/0000-0002-5204-6882"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Germ\u00e0 Coenders","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5204-6882","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9387,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.85443038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polychoric-correlation","display_name":"polychoric correlation","score":0.8109999895095825},{"id":"https://openalex.org/keywords/pearson-correlation","display_name":"Pearson correlation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/ordinal-measurement","display_name":"ordinal measurement","score":0.8550000190734863},{"id":"https://openalex.org/keywords/categorical-indicators","display_name":"categorical indicators","score":0.6370000243186951},{"id":"https://openalex.org/keywords/confirmatory-factor-analysis","display_name":"confirmatory factor analysis","score":0.8330000042915344},{"id":"https://openalex.org/keywords/factor-loadings","display_name":"factor loadings","score":0.7179999947547913},{"id":"https://openalex.org/keywords/measurement-quality","display_name":"measurement quality","score":0.7020000219345093},{"id":"https://openalex.org/keywords/monte-carlo-simulation","display_name":"Monte Carlo simulation","score":0.6850000023841858}],"concepts":[{"id":"https://openalex.org/C7733816","wikidata":"https://www.wikidata.org/wiki/Q7226213","display_name":"Polychoric correlation","level":3,"score":0.9848649501800537},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.6390385627746582},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5996680855751038},{"id":"https://openalex.org/C2909711754","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal Scale","level":2,"score":0.5873452425003052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.587286114692688},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.5553725957870483},{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.4919993579387665},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4863348603248596},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45747068524360657},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3104744851589203},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1394737958908081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1377439796924591},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.11169427633285522},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/bb087270-8fca-4602-abed-837139b3ff03","doi":null,"is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/categorization-and-measurement-quality-the-choice-between-pearson-and-polychoric-correlations(bb087270-8fca-4602-abed-837139b3ff03).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saris, W E & Coenders, G 1995, Categorization and measurement quality. The choice between Pearson and Polychoric correlations. in A Munnich & W E Saris (eds), Multitrait Multimethod approach to evaluate measurement instruments. Budapest, pp. 125-145.","raw_type":"info:eu-repo/semantics/bookPart"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/bb087270-8fca-4602-abed-837139b3ff03","doi":null,"is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/categorization-and-measurement-quality-the-choice-between-pearson-and-polychoric-correlations(bb087270-8fca-4602-abed-837139b3ff03).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Multitrait Multimethod approach to evaluate measurement instruments, 125 - 145","raw_type":"info:eu-repo/semantics/bookpart"},{"id":"mag:1531051740","doi":null,"is_oa":false,"landing_page_url":"http://www3.udg.edu/fcee/professors/gcoenders/pap00.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W150374347","https://openalex.org/W1577223643","https://openalex.org/W1978246885","https://openalex.org/W1985442257","https://openalex.org/W1996467017","https://openalex.org/W1997228212","https://openalex.org/W2059334100","https://openalex.org/W2064671957","https://openalex.org/W2068673986","https://openalex.org/W2069724740","https://openalex.org/W2136173837","https://openalex.org/W2143135404","https://openalex.org/W2164085284","https://openalex.org/W2197095869","https://openalex.org/W2326770218"],"related_works":["https://openalex.org/W7099975678","https://openalex.org/W2080218231","https://openalex.org/W624232459","https://openalex.org/W2326770218","https://openalex.org/W4226304014","https://openalex.org/W168656920","https://openalex.org/W6999396596","https://openalex.org/W2157703634","https://openalex.org/W4385749100","https://openalex.org/W4396669039"],"abstract_inverted_index":{"This":[0],"chapter":[1,68],"first":[2],"reviews":[3],"the":[4,18,21,37,46,49],"major":[5],"consequences":[6],"of":[7,27,39,48,51,81],"ordinal":[8],"measurement":[9],"in":[10,44,71],"Confirmatory":[11],"Factor":[12],"Analysis":[13],"(CFA)":[14],"models":[15],"and":[16,58],"introduces":[17],"reader":[19],"to":[20,30],"Polychoric":[22,59,103],"correlation":[23],"coefficient,":[24],"a":[25,40,52],"measure":[26,80],"association":[28,82],"designed":[29],"avoid":[31],"these":[32],"consequences.":[33],"Next,":[34],"it":[35,73],"presents":[36],"results":[38],"Monte":[41],"Carlo":[42],"experiment":[43],"which":[45,79],"performance":[47],"estimates":[50],"CFA":[53],"model":[54],"based":[55],"on":[56,99],"Pearson":[57,101],"correlations":[60,104],"is":[61,89],"compared":[62],"under":[63],"different":[64],"distributional":[65],"settings.":[66],"The":[67],"concludes":[69],"that,":[70],"general,":[72],"does":[74],"not":[75],"matter":[76],"too":[77],"much":[78],"one":[83,88],"uses,":[84],"as":[85,87],"long":[86],"aware":[90],"that":[91],"factor":[92],"loadings":[93],"should":[94],"be":[95],"interpreted":[96],"differently,":[97],"depending":[98],"whether":[100],"or":[102],"are":[105],"analysed.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}