{"id":"https://openalex.org/W626356938","doi":null,"title":"Introduction to the Taxometric Method: A Practical Guide","display_name":"Introduction to the Taxometric Method: A Practical Guide","publication_year":2006,"publication_date":"2006-04-11","ids":{"openalex":"https://openalex.org/W626356938","mag":"626356938"},"language":"en","primary_location":{"id":"mag:626356938","doi":null,"is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/ncid/BA87514168","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},"volume":null,"type":"book","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/A5049414839","display_name":"John Ruscio","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I35429941","display_name":"Elizabethtown College","ror":"https://ror.org/01y0mgq54","country_code":"US","type":"education","lineage":["https://openalex.org/I35429941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Ruscio","raw_affiliation_strings":["Elizabethtown College, PA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elizabethtown College, PA, US","institution_ids":["https://openalex.org/I35429941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090589044","display_name":"Nick Haslam","orcid":"https://orcid.org/0000-0002-1913-2340","observed_orcids":["https://orcid.org/0000-0002-1913-2340"]},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nick Haslam","raw_affiliation_strings":["University of Melbourne, VIC, Australia,"],"raw_orcid":"https://orcid.org/0000-0002-1913-2340","affiliations":[{"raw_affiliation_string":"University of Melbourne, VIC, Australia,","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067250281","display_name":"Ayelet Meron Ruscio","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]},{"id":"https://openalex.org/I35429941","display_name":"Elizabethtown College","ror":"https://ror.org/01y0mgq54","country_code":"US","type":"education","lineage":["https://openalex.org/I35429941"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Ayelet Meron Ruscio","raw_affiliation_strings":["Elizabethtown College,University of Melbourne,Harvard Medical School"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Elizabethtown College,University of Melbourne,Harvard Medical School","institution_ids":["https://openalex.org/I165779595","https://openalex.org/I35429941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.4802,"has_fulltext":false,"cited_by_count":289,"citation_normalized_percentile":{"value":0.99096386,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10467","display_name":"Psychometric Methodologies and Testing","score":0.9731000065803528,"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":0.9731000065803528,"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":0.0066999997943639755,"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/T13141","display_name":"Statistical Methods and Applications","score":0.004399999976158142,"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/latent-structure","display_name":"latent structure","score":0.7260000109672546},{"id":"https://openalex.org/keywords/classification-problems","display_name":"classification problems","score":0.621999979019165},{"id":"https://openalex.org/keywords/l-mode-plasma","display_name":"L-mode plasma","score":0.746999979019165},{"id":"https://openalex.org/keywords/consistency-test","display_name":"consistency test","score":0.9190000295639038}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7550809383392334},{"id":"https://openalex.org/C2779356329","wikidata":"https://www.wikidata.org/wiki/Q922625","display_name":"Checklist","level":2,"score":0.6725324988365173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47328680753707886},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4238632023334503},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.24993467330932617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23321619629859924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21198037266731262},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.12601909041404724},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:626356938","doi":null,"is_oa":false,"landing_page_url":"https://ci.nii.ac.jp/ncid/BA87514168","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1989054695","https://openalex.org/W2534104764","https://openalex.org/W7101044685","https://openalex.org/W7097304358","https://openalex.org/W2142344632","https://openalex.org/W2160032987","https://openalex.org/W1993204986","https://openalex.org/W2165297260","https://openalex.org/W2070479186","https://openalex.org/W7100838476"],"abstract_inverted_index":{"Preface.":[0],"Part":[1,14,42],"1.":[2],"Introduction":[3],"and":[4,27,33,45,61,70],"Background.":[5],"Introduction.":[6],"Why":[7],"Latent":[8,68],"Structure":[9],"Matters.":[10],"The":[11,53],"Classification":[12],"Problem.":[13],"2.":[15],"Taxometric":[16,22,29,40,51],"Method.":[17,52],"Data":[18],"Requirements":[19],"for":[20],"Taxometrics.":[21,56],"Procedures":[23,30],"I:":[24],"MAXSLOPE,":[25],"MAMBAC,":[26],"L-Mode.":[28],"II:":[31],"MAXCOV":[32],"MAXEIG.":[34,83],"Consistency":[35],"Tests.":[36],"Interpretational":[37],"Issues.":[38],"A":[39],"Checklist.":[41],"3.":[43],"Applications":[44,48],"Future":[46,54],"Directions.":[47],"of":[49,55],"the":[50,78],"Appendix":[57,65,75],"A:":[58],"Simulating":[59],"Taxonic":[60],"Dimensional":[62],"Comparison":[63],"Data.":[64],"B:":[66],"Estimating":[67,77],"Parameters":[69],"Classifying":[71],"Cases":[72],"Using":[73,82],"MAXCOV.":[74],"C:":[76],"Taxon":[79],"Base":[80],"Rate":[81]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":19}],"updated_date":"2026-10-25T09:29:13.331239","created_date":"2016-06-24T00:00:00"}
