Matches in SemOpenAlex for { <https://semopenalex.org/work/W2075076693> ?p ?o ?g. }
- W2075076693 endingPage "200" @default.
- W2075076693 startingPage "181" @default.
- W2075076693 abstract "Multiple behavioral change is an exciting and evolving research area, albeit one that presents analytic challenges to investigators. This manuscript considers the problem of modeling jointly trajectories for two or more possibly non-normally distributed dependent variables, such as marijuana smoking and risky sexual activity, collected longitudinally. Of particular scientific interest is applying such modeling to elucidate the nature of the interaction, if any, between an intervention and personal characteristics, such as sensation seeking and impulsivity. The authors describe three analytic approaches: generalized linear mixed modeling, group-based trajectory modeling, and latent growth curve modeling. In particular, the authors identify identify the strengths and weaknesses of these analytic approaches and assess their impact (or lack thereof) on the psychological and behavioral science literature. The authors also compare what investigators have been doing analytically versus what they might want to be doing in the future and discuss the implications for basic and translational research." @default.
- W2075076693 created "2016-06-24" @default.
- W2075076693 creator A5001928653 @default.
- W2075076693 creator A5009450662 @default.
- W2075076693 creator A5023794234 @default.
- W2075076693 creator A5053434403 @default.
- W2075076693 creator A5081688346 @default.
- W2075076693 date "2010-12-30" @default.
- W2075076693 modified "2023-09-23" @default.
- W2075076693 title "Joint Modeling of Longitudinal Data in Multiple Behavioral Change" @default.
- W2075076693 cites W1968578768 @default.
- W2075076693 cites W1969252592 @default.
- W2075076693 cites W1973959643 @default.
- W2075076693 cites W1973979444 @default.
- W2075076693 cites W1984237363 @default.
- W2075076693 cites W1989973094 @default.
- W2075076693 cites W1997944093 @default.
- W2075076693 cites W1998650795 @default.
- W2075076693 cites W2006157532 @default.
- W2075076693 cites W2010655253 @default.
- W2075076693 cites W2013071495 @default.
- W2075076693 cites W2015302984 @default.
- W2075076693 cites W2025820703 @default.
- W2075076693 cites W2027208676 @default.
- W2075076693 cites W2057132731 @default.
- W2075076693 cites W2060018714 @default.
- W2075076693 cites W2067042195 @default.
- W2075076693 cites W2067576902 @default.
- W2075076693 cites W2072221629 @default.
- W2075076693 cites W2072578003 @default.
- W2075076693 cites W2084892708 @default.
- W2075076693 cites W2085686526 @default.
- W2075076693 cites W2086026585 @default.
- W2075076693 cites W2104218863 @default.
- W2075076693 cites W2110706790 @default.
- W2075076693 cites W2124295641 @default.
- W2075076693 cites W2128815926 @default.
- W2075076693 cites W2134169077 @default.
- W2075076693 cites W2142045810 @default.
- W2075076693 cites W2146646247 @default.
- W2075076693 cites W2154166294 @default.
- W2075076693 cites W2155083909 @default.
- W2075076693 cites W2160967925 @default.
- W2075076693 cites W2163238534 @default.
- W2075076693 cites W2171835083 @default.
- W2075076693 cites W2320821530 @default.
- W2075076693 cites W25800136 @default.
- W2075076693 cites W4206653471 @default.
- W2075076693 cites W4240573870 @default.
- W2075076693 cites W4301861531 @default.
- W2075076693 cites W4322697675 @default.
- W2075076693 cites W609313093 @default.
- W2075076693 doi "https://doi.org/10.1177/0163278710392982" @default.
- W2075076693 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3092819" @default.
- W2075076693 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21196429" @default.
- W2075076693 hasPublicationYear "2010" @default.
- W2075076693 type Work @default.
- W2075076693 sameAs 2075076693 @default.
- W2075076693 citedByCount "14" @default.
- W2075076693 countsByYear W20750766932013 @default.
- W2075076693 countsByYear W20750766932016 @default.
- W2075076693 countsByYear W20750766932018 @default.
- W2075076693 countsByYear W20750766932019 @default.
- W2075076693 countsByYear W20750766932021 @default.
- W2075076693 countsByYear W20750766932022 @default.
- W2075076693 crossrefType "journal-article" @default.
- W2075076693 hasAuthorship W2075076693A5001928653 @default.
- W2075076693 hasAuthorship W2075076693A5009450662 @default.
- W2075076693 hasAuthorship W2075076693A5023794234 @default.
- W2075076693 hasAuthorship W2075076693A5053434403 @default.
- W2075076693 hasAuthorship W2075076693A5081688346 @default.
- W2075076693 hasBestOaLocation W20750766932 @default.
- W2075076693 hasConcept C118552586 @default.
- W2075076693 hasConcept C119857082 @default.
- W2075076693 hasConcept C138496976 @default.
- W2075076693 hasConcept C154945302 @default.
- W2075076693 hasConcept C15744967 @default.
- W2075076693 hasConcept C180747234 @default.
- W2075076693 hasConcept C192806908 @default.
- W2075076693 hasConcept C2522767166 @default.
- W2075076693 hasConcept C2780319597 @default.
- W2075076693 hasConcept C2780665704 @default.
- W2075076693 hasConcept C41008148 @default.
- W2075076693 hasConcept C542102704 @default.
- W2075076693 hasConcept C5570062 @default.
- W2075076693 hasConcept C63882131 @default.
- W2075076693 hasConcept C70410870 @default.
- W2075076693 hasConcept C71104824 @default.
- W2075076693 hasConcept C77805123 @default.
- W2075076693 hasConcept C78639753 @default.
- W2075076693 hasConceptScore W2075076693C118552586 @default.
- W2075076693 hasConceptScore W2075076693C119857082 @default.
- W2075076693 hasConceptScore W2075076693C138496976 @default.
- W2075076693 hasConceptScore W2075076693C154945302 @default.
- W2075076693 hasConceptScore W2075076693C15744967 @default.
- W2075076693 hasConceptScore W2075076693C180747234 @default.
- W2075076693 hasConceptScore W2075076693C192806908 @default.
- W2075076693 hasConceptScore W2075076693C2522767166 @default.