{"id":"https://openalex.org/W7223692830","doi":"https://doi.org/10.6084/m9.figshare.34790806","title":"An Analytical Comparison of Latent Growth Curve, Cross-Lagged Panel, and Latent Difference Score Modeling for Longitudinal Mediation Analysis","display_name":"An Analytical Comparison of Latent Growth Curve, Cross-Lagged Panel, and Latent Difference Score Modeling for Longitudinal Mediation Analysis","publication_year":2026,"publication_date":"2026-10-26","ids":{"openalex":"https://openalex.org/W7223692830","doi":"https://doi.org/10.6084/m9.figshare.34790806"},"language":"en","primary_location":{"id":"doi:10.6084/m9.figshare.34790806","doi":"https://doi.org/10.6084/m9.figshare.34790806","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34790806","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.6084/m9.figshare.34790806","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123027899","display_name":"Ruoxuan Li","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruoxuan Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5159631978","display_name":"Lijuan Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijuan Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8676648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.8988999724388123,"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":0.8988999724388123,"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/T10467","display_name":"Psychometric Methodologies and Testing","score":0.0478999987244606,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.027899999171495438,"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-growth-curve-models","display_name":"latent growth curve models","score":0.7900000214576721},{"id":"https://openalex.org/keywords/cross-lagged-panel-model","display_name":"cross-lagged panel model","score":0.972000002861023},{"id":"https://openalex.org/keywords/latent-difference-score-models","display_name":"latent difference score models","score":0.984000027179718},{"id":"https://openalex.org/keywords/model-equivalence","display_name":"model equivalence","score":0.7749999761581421},{"id":"https://openalex.org/keywords/mediation-model","display_name":"mediation model","score":0.5910000205039978}],"concepts":[{"id":"https://openalex.org/C179420905","wikidata":"https://www.wikidata.org/wiki/Q223871","display_name":"Mediation","level":2,"score":0.682200014591217},{"id":"https://openalex.org/C192806908","wikidata":"https://www.wikidata.org/wiki/Q6495487","display_name":"Latent growth modeling","level":2,"score":0.6621999740600586},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6377999782562256},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.6152999997138977},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.5976999998092651},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.5773000121116638},{"id":"https://openalex.org/C2777895361","wikidata":"https://www.wikidata.org/wiki/Q1758614","display_name":"Longitudinal study","level":2,"score":0.5432000160217285},{"id":"https://openalex.org/C178300618","wikidata":"https://www.wikidata.org/wiki/Q1898509","display_name":"Extant taxon","level":2,"score":0.5357000231742859},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5335000157356262},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5098000168800354},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4742000102996826},{"id":"https://openalex.org/C2776913854","wikidata":"https://www.wikidata.org/wiki/Q25345887","display_name":"Growth curve (statistics)","level":2,"score":0.430400013923645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42239999771118164},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.39579999446868896},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3926999866962433},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.3700999915599823},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3596000075340271},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.3515999913215637},{"id":"https://openalex.org/C2983335520","wikidata":"https://www.wikidata.org/wiki/Q47537570","display_name":"Growth model","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C53059260","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel model","level":2,"score":0.25760000944137573}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.6084/m9.figshare.34790806","doi":"https://doi.org/10.6084/m9.figshare.34790806","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34790806","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.6084/m9.figshare.34790806.v1","doi":"https://doi.org/10.6084/m9.figshare.34790806.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34790806.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.6084/m9.figshare.34790806","doi":"https://doi.org/10.6084/m9.figshare.34790806","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.34790806","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2967349649","https://openalex.org/W2795975046","https://openalex.org/W2050253828","https://openalex.org/W3003424347","https://openalex.org/W4205341184","https://openalex.org/W4295066767","https://openalex.org/W3186718443","https://openalex.org/W3135508443","https://openalex.org/W4206940346","https://openalex.org/W7095273257"],"abstract_inverted_index":{"Latent":[0],"growth":[1,74],"curve,":[2],"cross-lagged":[3,90],"panel,":[4],"and":[5,32,78,94,114,126,135,139],"latent":[6,73,79],"difference":[7,80],"score":[8,81],"models":[9,20,40,77,83,93,107],"are":[10,49],"widely":[11],"used":[12],"for":[13,29,96,143],"longitudinal":[14,52,97,105,128,144],"data":[15,129,138],"analysis.":[16,99],"Relationships":[17],"among":[18,38,103],"those":[19,88],"have":[21,55],"been":[22,57],"analytically":[23,67],"investigated":[24],"in":[25,51,62],"the":[26,30,63,69,104,112,132,137],"extant":[27],"literature":[28],"univariate":[31],"bivariate":[33],"contexts.":[34],"However,":[35],"mathematical":[36,70],"connections":[37,71,113],"these":[39,117],"where":[41],"three":[42],"time-varying":[43],"variables":[44],"(i.e.,":[45],"input,":[46],"mediator,":[47],"outcome)":[48],"involved":[50],"mediation":[53,76,82,92,98,106,145],"analysis":[54],"not":[56],"previously":[58],"studied.":[59],"To":[60],"fill":[61],"research":[64],"gap,":[65],"we":[66],"derived":[68],"between":[72,89],"curve":[75],"(LDSMMs),":[84],"as":[85,87],"well":[86],"panel":[91],"LDSMMs":[95],"The":[100],"equivalence":[101,133],"relationships":[102],"provided":[108,120],"new":[109],"insights":[110],"into":[111],"interpretations":[115],"of":[116],"models.":[118],"We":[119],"numerical":[121],"examples":[122],"using":[123],"both":[124],"simulated":[125],"real":[127],"to":[130],"illustrate":[131],"relationships,":[134],"shared":[136],"code":[140],"online.":[141],"Implications":[142],"modeling":[146],"were":[147],"discussed.":[148]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2026-10-27T00:00:00"}