{"id":"https://openalex.org/W2079875545","doi":"https://doi.org/10.1080/00273170903504729","title":"Modeling Common Traits and Method Effects in Multitrait-Multimethod Analysis","display_name":"Modeling Common Traits and Method Effects in Multitrait-Multimethod Analysis","publication_year":2010,"publication_date":"2010-01-29","ids":{"openalex":"https://openalex.org/W2079875545","doi":"https://doi.org/10.1080/00273170903504729","mag":"2079875545","pmid":"https://pubmed.ncbi.nlm.nih.gov/26789084"},"language":"en","primary_location":{"id":"doi:10.1080/00273170903504729","doi":"https://doi.org/10.1080/00273170903504729","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00273170903504729","pdf_url":null,"source":{"id":"https://openalex.org/S64250036","display_name":"Multivariate Behavioral Research","issn_l":"0027-3171","issn":["0027-3171","1532-7906"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multivariate Behavioral Research","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"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/A5079159365","display_name":"Steffi Pohl","orcid":"https://orcid.org/0000-0002-5178-8171","observed_orcids":["https://orcid.org/0000-0002-5178-8171"]},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffi Pohl","raw_affiliation_strings":["a Otto-Friedrich-University Bamberg","Otto-Friedrich-Univ. Bamberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a Otto-Friedrich-University Bamberg","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Otto-Friedrich-Univ. Bamberg","institution_ids":["https://openalex.org/I94626330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071592056","display_name":"Rolf Steyer","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rolf Steyer","raw_affiliation_strings":["a Otto-Friedrich-University Bamberg","Otto-Friedrich-Univ. Bamberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"a Otto-Friedrich-University Bamberg","institution_ids":["https://openalex.org/I94626330"]},{"raw_affiliation_string":"Otto-Friedrich-Univ. Bamberg","institution_ids":["https://openalex.org/I94626330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94626330"],"apc_list":null,"apc_paid":null,"fwci":4.7953,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.94495443,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"45","issue":"1","first_page":"45","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9980000257492065,"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":0.9980000257492065,"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/T13283","display_name":"Mental Health Research Topics","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13309","display_name":"Reliability and Agreement in Measurement","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multitrait-multimethod-analysis","display_name":"multitrait-multimethod analysis","score":0.9399999976158142},{"id":"https://openalex.org/keywords/method-effects","display_name":"method effects","score":0.9620000123977661},{"id":"https://openalex.org/keywords/methodological-factors","display_name":"methodological factors","score":0.7670000195503235},{"id":"https://openalex.org/keywords/item-wording-effects","display_name":"item wording effects","score":0.6980000138282776},{"id":"https://openalex.org/keywords/mood-states","display_name":"mood states","score":0.7070000171661377},{"id":"https://openalex.org/keywords/measurement-invariance","display_name":"measurement invariance","score":0.5189999938011169}],"concepts":[{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.8371104598045349},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5993202328681946},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49342551827430725},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4807707667350769},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.462819904088974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4276387691497803},{"id":"https://openalex.org/C40722632","wikidata":"https://www.wikidata.org/wiki/Q5160137","display_name":"Confirmatory factor analysis","level":3,"score":0.42225685715675354},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3340993821620941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22393196821212769},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00273170903504729","doi":"https://doi.org/10.1080/00273170903504729","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00273170903504729","pdf_url":null,"source":{"id":"https://openalex.org/S64250036","display_name":"Multivariate Behavioral Research","issn_l":"0027-3171","issn":["0027-3171","1532-7906"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-b","erih-plus","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multivariate Behavioral Research","raw_type":"journal-article"},{"id":"pmid:26789084","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26789084","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multivariate behavioral research","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W151102844","https://openalex.org/W305548693","https://openalex.org/W1509644558","https://openalex.org/W1973554919","https://openalex.org/W1994091839","https://openalex.org/W1995954911","https://openalex.org/W1997324349","https://openalex.org/W1999815515","https://openalex.org/W2002281943","https://openalex.org/W2006626890","https://openalex.org/W2009887813","https://openalex.org/W2017897883","https://openalex.org/W2020484397","https://openalex.org/W2024218294","https://openalex.org/W2024509488","https://openalex.org/W2024650319","https://openalex.org/W2025035863","https://openalex.org/W2033439328","https://openalex.org/W2039065426","https://openalex.org/W2041094138","https://openalex.org/W2042121408","https://openalex.org/W2042641861","https://openalex.org/W2056427806","https://openalex.org/W2056632455","https://openalex.org/W2059024952","https://openalex.org/W2062530052","https://openalex.org/W2064445487","https://openalex.org/W2065090143","https://openalex.org/W2066353754","https://openalex.org/W2072243074","https://openalex.org/W2084605636","https://openalex.org/W2085369070","https://openalex.org/W2088363142","https://openalex.org/W2090982281","https://openalex.org/W2139659347","https://openalex.org/W2163403362","https://openalex.org/W2501853641","https://openalex.org/W3022062670","https://openalex.org/W3043295761","https://openalex.org/W4237817862","https://openalex.org/W4256685379"],"related_works":["https://openalex.org/W2057884240","https://openalex.org/W3177235543","https://openalex.org/W1997324349","https://openalex.org/W1584339780","https://openalex.org/W2962087826","https://openalex.org/W2059024952","https://openalex.org/W2013586220","https://openalex.org/W1988706384","https://openalex.org/W1973554919","https://openalex.org/W1966317770"],"abstract_inverted_index":{"Method":[0,78],"effects":[1,17],"often":[2,55],"occur":[3],"when":[4],"constructs":[5],"are":[6,18,45,57,105,125],"measured":[7],"by":[8,169],"different":[9],"methods.":[10,73],"In":[11],"traditional":[12],"multitrait-multimethod":[13],"(MTMM)":[14],"models":[15],"method":[16,26,36,92,96,123,143,147,154],"regarded":[19],"as":[20,107,127,177],"residuals,":[21],"which":[22,85],"implies":[23],"a":[24,51,61,66],"mean":[25,109,142],"effect":[27,174],"of":[28,110,114,134,164,175,186],"zero":[29],"and":[30,35,91,121,132,149,153],"no":[31],"correlation":[32],"between":[33,129,146,151],"trait":[34,63,67,83,89,103,120,152],"effects.":[37],"Furthermore,":[38],"in":[39,60,65],"some":[40],"recent":[41],"MTMM":[42],"models,":[43],"traits":[44],"modeled":[46],"to":[47,50,71],"be":[48,160],"specific":[49],"certain":[52],"method.":[53],"However,":[54],"we":[56,75],"not":[58],"interested":[59],"method-specific":[62],"but":[64],"that":[68,94],"is":[69,167],"common":[70,82,102],"all":[72,115],"Here":[74],"present":[76],"the":[77,108,111,118,122,138,165,173,184],"Effect":[79],"model":[80,139,166],"with":[81,179],"factors,":[84,148,155],"allows":[86,140],"modeling":[87],"\"common\"":[88],"factors":[90,93,104,124],"represent":[95],"\"effects\"":[97],"rather":[98],"than":[99],"residuals.":[100],"The":[101,162],"defined":[106,126],"true-score":[112,130,135],"variables":[113,116,131],"measuring":[117],"same":[119],"differences":[128],"means":[133],"variables.":[136],"Because":[137],"estimating":[141],"effects,":[144],"correlations":[145,150],"new":[156],"research":[157],"questions":[158],"may":[159],"investigated.":[161],"application":[163],"demonstrated":[168],"2":[170],"examples":[171],"studying":[172],"negative,":[176],"compared":[178],"positive,":[180],"item":[181],"wording":[182],"for":[183],"measurement":[185],"mood":[187],"states.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}
