{"id":"https://openalex.org/W400774807","doi":null,"title":"Longitudinal Analysis: Modeling Within-Person Fluctuation and Change","display_name":"Longitudinal Analysis: Modeling Within-Person Fluctuation and Change","publication_year":2014,"publication_date":"2014-11-21","ids":{"openalex":"https://openalex.org/W400774807","mag":"400774807"},"language":"en","primary_location":{"id":"mag:400774807","doi":null,"is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/ncid/BB18162885","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","is_traditional":true,"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/A5054936908","display_name":"Lesa Hoffman","orcid":"https://orcid.org/0000-0001-8979-6735","observed_orcids":["https://orcid.org/0000-0001-8979-6735"]},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lesa Hoffman","raw_affiliation_strings":["University of Kansas, USA"],"raw_orcid":"https://orcid.org/0000-0001-8979-6735","affiliations":[{"raw_affiliation_string":"University of Kansas, USA","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054936908"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":5.2212,"has_fulltext":false,"cited_by_count":359,"citation_normalized_percentile":{"value":0.98157454,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9994999766349792,"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/T13283","display_name":"Mental Health Research Topics","score":9.999999747378752e-05,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/longitudinal-analysis","display_name":"longitudinal analysis","score":0.984000027179718},{"id":"https://openalex.org/keywords/intra-individual-variability","display_name":"within-person variability","score":0.9459999799728394},{"id":"https://openalex.org/keywords/within-person-change","display_name":"within-person change","score":0.9649999737739563},{"id":"https://openalex.org/keywords/time-dependent-covariates","display_name":"time-varying covariates","score":1.0},{"id":"https://openalex.org/keywords/repeated-measures-designs","display_name":"repeated measures designs","score":0.7710000276565552},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.4339999854564667}],"concepts":[{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.5616475939750671},{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.5147814750671387},{"id":"https://openalex.org/C2777895361","wikidata":"https://www.wikidata.org/wiki/Q1758614","display_name":"Longitudinal study","level":2,"score":0.4953087866306305},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.46400704979896545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4331413507461548},{"id":"https://openalex.org/C2989469682","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Change analysis","level":2,"score":0.42544251680374146},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3755548298358917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36699485778808594},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32937002182006836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2911570072174072},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1868298351764679},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11605820059776306},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.08672016859054565},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:400774807","doi":null,"is_oa":false,"landing_page_url":"http://ci.nii.ac.jp/ncid/BB18162885","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/W3089848747","https://openalex.org/W3116832672","https://openalex.org/W3090654909","https://openalex.org/W2188269315","https://openalex.org/W2155943705","https://openalex.org/W4241552457","https://openalex.org/W3160388806","https://openalex.org/W7211956968","https://openalex.org/W2481019821","https://openalex.org/W4242086080"],"abstract_inverted_index":{"Section":[0,30,59,88],"1:":[1],"Building":[2],"Blocks":[3],"for":[4],"Longitudinal":[5,13,70],"Analysis":[6,11,17,26,93,103,111],"1.":[7],"Introduction":[8,23,44],"to":[9,24,45],"the":[10,33,62],"of":[12,20,35,48,64,77,85,100,104,112],"Data":[14],"2.":[15],"Between-Person":[16],"and":[18,27,50,97,122],"Interpretation":[19],"Interactions":[21],"3.":[22],"Within-Person":[25,39,55,78,86],"Model":[28,51],"Comparisons":[29],"2:":[31],"Modeling":[32,61],"Effects":[34,47,63],"Time":[36,42,49,58,101,109,118],"4.":[37],"Describing":[38,54],"Fluctuation":[40,79],"over":[41,57,94,108],"5.":[43],"Random":[46],"Estimation":[52],"6.":[53],"Change":[56,87],"3:":[60],"Predictors":[65,68,74,82],"7.":[66],"Time-Invariant":[67],"in":[69,75,83],"Models":[71,76,84,124],"8.":[72],"Time-Varying":[73,81],"9.":[80],"4:":[89],"Advanced":[90],"Applications":[91],"10.":[92],"Alternative":[95],"Metrics":[96],"Multiple":[98],"Dimensions":[99],"11.":[102],"Individuals":[105],"within":[106],"Groups":[107],"12.":[110],"Repeated":[113],"Measures":[114],"Designs":[115],"Not":[116],"Involving":[117],"13.":[119],"Additional":[120],"Considerations":[121],"Related":[123]},"counts_by_year":[{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":45},{"year":2020,"cited_by_count":52},{"year":2019,"cited_by_count":31},{"year":2018,"cited_by_count":46},{"year":2017,"cited_by_count":41},{"year":2016,"cited_by_count":24},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}