Till startsida
Webbkarta
Till innehåll Läs mer om hur kakor används på gu.se

Latent growth models matched to research questions to answer questions about dynamics of change in multiple processes.

Artikel i vetenskaplig tidskrift
Författare Annie Robitaille
Graciela Muniz-Terrera
Amanda Kelly
Boo Johansson
Scott Hofer
Andrea Piccinin
Publicerad i Journal of clinical epidemiology
Volym 82
Sidor 158–166
ISSN 1878-5921
Publiceringsår 2017
Publicerad vid Psykologiska institutionen
Sidor 158–166
Språk en
Länkar dx.doi.org/10.1016/j.jclinepi.2016....
www.ncbi.nlm.nih.gov/entrez/query.f...
Ämneskategorier Psykologi

Sammanfattning

Given theoretical and methodological advances that propose hypothesis about change in one or multiple processes, analytical methods for longitudinal data have been developed that provide researchers with various options for analyzing change over time. In this paper, we revisit several latent growth curve models that may be considered to answer questions about repeated measures of continuous variables, which may be operationalised as time varying covariates or outcomes.To illustrate each of the models discussed and how to interpret parameter estimates, we present examples of each method discussed using cognitive and blood pressure measures from a longitudinal study of ageing, the OCTO Twin Study.Although statistical models are helpful tools to test theoretical hypotheses about the dynamics between multiple processes, the choice of model and its specification will influence results and conclusions made.

Sidansvarig: Webbredaktion|Sidan uppdaterades: 2012-09-11
Dela:

På Göteborgs universitet använder vi kakor (cookies) för att webbplatsen ska fungera på ett bra sätt för dig. Genom att surfa vidare godkänner du att vi använder kakor.  Vad är kakor?