Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 18 von 41
Network science (Cambridge University Press), 2022-03, Vol.10 (1), p.15-19
2022
Volltextzugriff (PDF)

Details

Autor(en) / Beteiligte
Titel
The stochastic actor-oriented model is a theory as much as it is a method and must be subject to theory tests
Ist Teil von
  • Network science (Cambridge University Press), 2022-03, Vol.10 (1), p.15-19
Ort / Verlag
New York, USA: Cambridge University Press
Erscheinungsjahr
2022
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • [...]any model that estimates coefficients can be used for out-of-sample prediction, and it makes sense to do so when assessing model performance (see, e.g., Cranmer & Desmarais 2017 for a detailed discussion). [...]when done properly, model estimation fails due to degeneracy, a problem plaguing poor theoretical specifications (Schweinberger et al. 2020). Model fit is a function of the theoretical specification of the chosen model (i.e., the set of model terms), the parameters that are attached to the theoretical specification (i.e., the estimated coefficients for the model terms given the observed data), and the theoretical elements hardwired into the technique (i.e., how the nodes are chosen to update their tie profile, the time horizon with which they evaluate their objective function, whether they make sequential or simultaneous choices, etc.—these are additional theoretical elements that may differ across models). [...]Delta \) Model fit = f(\(\Delta\) hardwired model assumptions | data; choice of specification) Any manipulations of the givens, such as the data or the specification, invalidate the research design.
Sprache
Englisch
Identifikatoren
ISSN: 2050-1242
eISSN: 2050-1250
DOI: 10.1017/nws.2022.7
Titel-ID: cdi_proquest_journals_2753413861

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX