Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040367788> ?p ?o ?g. }
- W3040367788 endingPage "1345" @default.
- W3040367788 startingPage "1311" @default.
- W3040367788 abstract "Abstract Confirmatory composite analysis (CCA) is a subtype of structural equation modeling that assesses composite models. Composite models consist of a set of interrelated emergent variables, i.e., constructs which emerge as linear combinations of other variables. Only recently, Hair et al. (J Bus Res 109(1):101–110, 2020) proposed ‘confirmatory composite analysis’ as a method of confirming measurement quality (MCMQ) in partial least squares structural equation modeling. As a response to their study and to prevent researchers from confusing the two, this article explains what CCA and MCMQ are, what steps they entail and what differences they have. Moreover, to demonstrate their efficacy, a scenario analysis was conducted. The results of this analysis imply that to assess composite models, researchers should use CCA, and to assess reflective and causal–formative measurement models, researchers should apply structural equation modeling including confirmatory factor analysis instead of Hair et al.’s MCMQ. Finally, the article offers a set of corrections to the article of Hair et al. (2020) and stresses the importance of ensuring that the applied model assessment criteria are consistent with the specified model." @default.
- W3040367788 created "2020-07-10" @default.
- W3040367788 creator A5032918472 @default.
- W3040367788 date "2020-07-29" @default.
- W3040367788 modified "2023-09-24" @default.
- W3040367788 title "Confirmatory composite analysis using partial least squares: setting the record straight" @default.
- W3040367788 cites W1023032151 @default.
- W3040367788 cites W1963554663 @default.
- W3040367788 cites W1970000807 @default.
- W3040367788 cites W1975077471 @default.
- W3040367788 cites W1981330200 @default.
- W3040367788 cites W1986092722 @default.
- W3040367788 cites W1987258130 @default.
- W3040367788 cites W1987445317 @default.
- W3040367788 cites W1994263489 @default.
- W3040367788 cites W2005092827 @default.
- W3040367788 cites W2011755304 @default.
- W3040367788 cites W2017233206 @default.
- W3040367788 cites W2021641691 @default.
- W3040367788 cites W2023843461 @default.
- W3040367788 cites W2030741364 @default.
- W3040367788 cites W2036736987 @default.
- W3040367788 cites W2039531419 @default.
- W3040367788 cites W2043362882 @default.
- W3040367788 cites W2048182169 @default.
- W3040367788 cites W2052299306 @default.
- W3040367788 cites W20683381 @default.
- W3040367788 cites W2072964722 @default.
- W3040367788 cites W2100739170 @default.
- W3040367788 cites W2102963621 @default.
- W3040367788 cites W2105846236 @default.
- W3040367788 cites W2127318519 @default.
- W3040367788 cites W2129476319 @default.
- W3040367788 cites W2136451344 @default.
- W3040367788 cites W2138071797 @default.
- W3040367788 cites W2142152606 @default.
- W3040367788 cites W2149608872 @default.
- W3040367788 cites W2150785224 @default.
- W3040367788 cites W2164085284 @default.
- W3040367788 cites W2171316372 @default.
- W3040367788 cites W2223470559 @default.
- W3040367788 cites W2326958296 @default.
- W3040367788 cites W2346157870 @default.
- W3040367788 cites W2467386812 @default.
- W3040367788 cites W2473047188 @default.
- W3040367788 cites W2587364646 @default.
- W3040367788 cites W2600924535 @default.
- W3040367788 cites W2615149506 @default.
- W3040367788 cites W2698163888 @default.
- W3040367788 cites W2747870549 @default.
- W3040367788 cites W2754304469 @default.
- W3040367788 cites W2756516971 @default.
- W3040367788 cites W2768937240 @default.
- W3040367788 cites W2783817214 @default.
- W3040367788 cites W2788462127 @default.
- W3040367788 cites W2796846349 @default.
- W3040367788 cites W2897357297 @default.
- W3040367788 cites W2905811773 @default.
- W3040367788 cites W2911705532 @default.
- W3040367788 cites W2919350648 @default.
- W3040367788 cites W2923410225 @default.
- W3040367788 cites W2945049087 @default.
- W3040367788 cites W2949794055 @default.
- W3040367788 cites W2950750906 @default.
- W3040367788 cites W2955967463 @default.
- W3040367788 cites W2987457422 @default.
- W3040367788 cites W2995576379 @default.
- W3040367788 cites W3008792538 @default.
- W3040367788 cites W3040998022 @default.
- W3040367788 cites W3082528490 @default.
- W3040367788 cites W3121452939 @default.
- W3040367788 cites W3121501521 @default.
- W3040367788 cites W3122877168 @default.
- W3040367788 cites W4242914163 @default.
- W3040367788 cites W4246455455 @default.
- W3040367788 cites W4247425252 @default.
- W3040367788 cites W4251225833 @default.
- W3040367788 cites W4255699659 @default.
- W3040367788 cites W4298091299 @default.
- W3040367788 doi "https://doi.org/10.1007/s11846-020-00405-0" @default.
- W3040367788 hasPublicationYear "2020" @default.
- W3040367788 type Work @default.
- W3040367788 sameAs 3040367788 @default.
- W3040367788 citedByCount "40" @default.
- W3040367788 countsByYear W30403677882020 @default.
- W3040367788 countsByYear W30403677882021 @default.
- W3040367788 countsByYear W30403677882022 @default.
- W3040367788 countsByYear W30403677882023 @default.
- W3040367788 crossrefType "journal-article" @default.
- W3040367788 hasAuthorship W3040367788A5032918472 @default.
- W3040367788 hasBestOaLocation W30403677881 @default.
- W3040367788 hasConcept C104779481 @default.
- W3040367788 hasConcept C105795698 @default.
- W3040367788 hasConcept C11413529 @default.
- W3040367788 hasConcept C149782125 @default.
- W3040367788 hasConcept C15744967 @default.
- W3040367788 hasConcept C177264268 @default.
- W3040367788 hasConcept C199360897 @default.