FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100164346> ?p ?o ?g. }

• W3100164346 abstract "Abstract Background The multiple-indicator, multiple-cause model (MIMIC) incorporates covariates of interest in the factor analysis. It is a special case of structural equation modeling (SEM), which is modeled under latent variable framework. The MIMIC model provides rigorous results and becomes broadly available in multiple statistical software. The current study introduces the MIMIC model and how it can be implemented using statistical software packages SAS CALIS procedure, R lavaan package, and M plus version 8.0. Methods In this paper, we first discussed the formulation of the MIMIC model with regard to model specification and identification. We then demonstrated the empirical application of the MIMIC model with the Midlife in the United States II (MIDUS II) Study ( N = 4109) using SAS CALIS procedure, R lavaan package and M plus version 8.0 to examine gender disparities in cognitive functioning. The input, output, and diagram syntaxes of the three statistical software packages were also presented. Results In terms of data structure, all three statistical programs can be conducted using both raw data and empirical covariance matrix. SAS and R are comprehensive statistical analytic packages and encompass numerous data manipulation capacities. M plus is designed primarily for latent variable modeling and has far more modeling flexibility compared to SAS and R, but limited in data manipulation. Differences in model results from the three statistical programs are trivial. Overall, the results show that while men show better performance in executive function than women, women demonstrate better episodic memory than men. Conclusions Our study demonstrates the utility of the MIMIC model in its empirical application, fitted with three popular statistical software packages. Results from our models align with empirical findings from previous research. We provide coding procedures and examples with detailed explanations in the hopes of providing a concise tutorial for researchers and methodologists interested in incorporating latent constructs with multiple indicators and multiple covariates in their research projects. Future researchers are encouraged to adopt this flexible and rigorous modeling approach." @default.
• W3100164346 created "2020-11-23" @default.
• W3100164346 creator A5013823382 @default.
• W3100164346 creator A5067262529 @default.
• W3100164346 creator A5072130548 @default.
• W3100164346 creator A5089978631 @default.
• W3100164346 date "2020-11-12" @default.
• W3100164346 modified "2023-10-06" @default.
• W3100164346 title "Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset" @default.
• W3100164346 cites W1492757840 @default.
• W3100164346 cites W1819467863 @default.
• W3100164346 cites W2010560591 @default.
• W3100164346 cites W2018201949 @default.
• W3100164346 cites W2071258882 @default.
• W3100164346 cites W2090273840 @default.
• W3100164346 cites W2108104166 @default.
• W3100164346 cites W2144734317 @default.
• W3100164346 cites W2149608872 @default.
• W3100164346 cites W2150931598 @default.
• W3100164346 cites W2166844839 @default.
• W3100164346 cites W2406198090 @default.
• W3100164346 cites W2570128962 @default.
• W3100164346 cites W2570722182 @default.
• W3100164346 cites W2612664895 @default.
• W3100164346 cites W2770506365 @default.
• W3100164346 cites W4243073173 @default.
• W3100164346 cites W4249725466 @default.
• W3100164346 cites W4300009529 @default.
• W3100164346 cites W789505438 @default.
• W3100164346 doi "https://doi.org/10.1186/s12874-020-01150-4" @default.
• W3100164346 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7659155" @default.
• W3100164346 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33183226" @default.
• W3100164346 hasPublicationYear "2020" @default.
• W3100164346 type Work @default.
• W3100164346 sameAs 3100164346 @default.
• W3100164346 citedByCount "12" @default.
• W3100164346 countsByYear W31001643462020 @default.
• W3100164346 countsByYear W31001643462021 @default.
• W3100164346 countsByYear W31001643462022 @default.
• W3100164346 countsByYear W31001643462023 @default.
• W3100164346 crossrefType "journal-article" @default.
• W3100164346 hasAuthorship W3100164346A5013823382 @default.
• W3100164346 hasAuthorship W3100164346A5067262529 @default.
• W3100164346 hasAuthorship W3100164346A5072130548 @default.
• W3100164346 hasAuthorship W3100164346A5089978631 @default.
• W3100164346 hasBestOaLocation W31001643461 @default.
• W3100164346 hasConcept C105795698 @default.
• W3100164346 hasConcept C114289077 @default.
• W3100164346 hasConcept C119043178 @default.
• W3100164346 hasConcept C119857082 @default.
• W3100164346 hasConcept C124101348 @default.
• W3100164346 hasConcept C154945302 @default.
• W3100164346 hasConcept C199360897 @default.
• W3100164346 hasConcept C2777904410 @default.
• W3100164346 hasConcept C2780598303 @default.
• W3100164346 hasConcept C33923547 @default.
• W3100164346 hasConcept C41008148 @default.
• W3100164346 hasConcept C51167844 @default.
• W3100164346 hasConcept C65965080 @default.
• W3100164346 hasConcept C71104824 @default.
• W3100164346 hasConceptScore W3100164346C105795698 @default.
• W3100164346 hasConceptScore W3100164346C114289077 @default.
• W3100164346 hasConceptScore W3100164346C119043178 @default.
• W3100164346 hasConceptScore W3100164346C119857082 @default.
• W3100164346 hasConceptScore W3100164346C124101348 @default.
• W3100164346 hasConceptScore W3100164346C154945302 @default.
• W3100164346 hasConceptScore W3100164346C199360897 @default.
• W3100164346 hasConceptScore W3100164346C2777904410 @default.
• W3100164346 hasConceptScore W3100164346C2780598303 @default.
• W3100164346 hasConceptScore W3100164346C33923547 @default.
• W3100164346 hasConceptScore W3100164346C41008148 @default.
• W3100164346 hasConceptScore W3100164346C51167844 @default.
• W3100164346 hasConceptScore W3100164346C65965080 @default.
• W3100164346 hasConceptScore W3100164346C71104824 @default.
• W3100164346 hasIssue "1" @default.
• W3100164346 hasLocation W31001643461 @default.
• W3100164346 hasLocation W31001643462 @default.
• W3100164346 hasLocation W31001643463 @default.
• W3100164346 hasLocation W31001643464 @default.
• W3100164346 hasOpenAccess W3100164346 @default.
• W3100164346 hasPrimaryLocation W31001643461 @default.
• W3100164346 hasRelatedWork W1964171213 @default.
• W3100164346 hasRelatedWork W2011930911 @default.
• W3100164346 hasRelatedWork W2116952506 @default.
• W3100164346 hasRelatedWork W2119672929 @default.
• W3100164346 hasRelatedWork W2150983145 @default.
• W3100164346 hasRelatedWork W2584931243 @default.
• W3100164346 hasRelatedWork W2903211007 @default.
• W3100164346 hasRelatedWork W4292264027 @default.
• W3100164346 hasRelatedWork W4313467013 @default.
• W3100164346 hasRelatedWork W3081767666 @default.
• W3100164346 hasVolume "20" @default.
• W3100164346 isParatext "false" @default.
• W3100164346 isRetracted "false" @default.
• W3100164346 magId "3100164346" @default.
• W3100164346 workType "article" @default.