Zusammenfassung. Dieser Beitrag gibt eine kurze Einführung in hierarchisch-lineare Modelle mit Zufallskoeffizienten, eine Klasse von Verfahren zur Auswertung von Daten mit hierarchisch geschachtelten Analyseebenen (z.B. Individuen in sozialen Gruppen, ...
Multilevel analyses in psychological research. Advantages and potential of multilevel random coefficient modelingAbstract. Multilevel data structures are commonplace in psychological research, e.g., in diary studies with numerous observations per ...
Abstract.Background: Around the globe, 800,000 people die from suicide every year. Despite being one of the leading causes of death, suicide remains a low public health priority. Korea has the second highest ...
The p2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p2 model is proposed for the case of multiple ...
The paper explores some issues related to endogeneity in multilevel models, focusing on the case where the random effects are correlated with a level 1 covariate in a linear random intercept model. We consider two basic specifications, without and with ...
Abstract. Research, policy, and practice often target specific subpopulations. Large-scale survey studies are particularly useful for performing subpopulation analyses due to the large and representative nature of the samples. However, ...
While direct replications such as the “Many Labs” project are extremely valuable in testing the reliability of published findings across laboratories, they reflect the common reliance in psychology on single vignettes or stimuli, which limits the scope of ...