Zeige Artikel getaggt mit book recommendation

In the wake of our recent posts about longitudinal studies we'd like to recommend a recently published book by By John J. McArdle and John R. Nesselroade.

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Longitudinal studies are on the rise, no doubt. Properly conducting longitudinal studies and then analyzing the data can be a complex undertaking. John McArdle and John Nesselroade focus on five basic questions that can be tackled with structural equation models, when analyzing longitudinal data:

  • Direct identification of intraindividual changes.
  • Direct identification of interindividual differences in intraindividual changes.
  • Examining interrelationships in intraindividual changes.
  • Analyses of causes (determinants) of intraindividual changes.
  • Analyses of causes (determinants) of interindividual differences in intraindividual changes.

I find it especially noteworthy, that the authors put an emphasis on factorial invariance over time and latent change scores. In my view, this makes this book a must read to become a longitudinal data wizard.

Need another argument? Afraid of cumbersome mathematical language? Here is what the authors say about it: „We focus on the big picture approach rather than the algebraic details.“

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Dank der Expertise und dem Know-how der Mitarbeiter von cloud solutions wurden wir auch in schwierigen Situationen stets optimal beraten. Wir können cloud solutions ohne Bedenken weiter empfehlen.

Prof. Dr. Norbert K. Semmer
Psychologisches Institut, Universität Bern, Schweiz

 
 
 
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