Aineistot 11-15 / 1301

    • Normality assumption in latent interaction models 

      Lonati, Sirio; Rönkkö, Mikko; Antonakis, John (American Psychological Association (APA), 2024)
      Latent moderated structural equation (LMS) is one of the most common techniques for estimating interaction effects involving latent variables (i.e., XWITH command in Mplus). However, empirical applications of LMS often ...
    • Transmission of Mental Disorders in Adolescent Peer Networks 

      Alho, Jussi; Gutvilig, Mai; Niemi, Ripsa; Komulainen, Kaisla; Böckerman, Petri; Webb, Roger T.; Elovainio, Marko; Hakulinen, Christian (American Medical Association, 2024)
      Importance: Previous research indicates that mental disorders may be transmitted from one individual to another within social networks. However, there is a lack of population-based epidemiologic evidence that pertains to ...
    • Globally (Ir)Responsible Leadership : Viewpoints on the Current Political Leadership Debate 

      Takala, Tuomo (Jyväskylän yliopisto, 2024)
      In this general article, I want to set forth some phenomena of contemporary politics, and theoretical concepts and discussions that are connected with them. Relevant topics are related to the conflicting tendencies of the ...
    • Globally (Ir)Responsible Leadership : Viewpoints on the Current Political Leadership Debate 

      Takala, Tuomo (Jyväskylän yliopisto, 2024)
      In this general article, I want to set forth some phenomena of contemporary politics, and theoretical concepts and discussions that are connected with them. Relevant topics are related to the conflicting tendencies of the ...
    • Commodity markets and the global macroeconomy : evidence from machine learning and GVAR 

      Boakye, Ernest Owusu; Heimonen, Kari; Junttila, Juha (Springer, 2024)
      Based on a strongly data-intensive machine learning approach, this study first identifies the most essential globally traded commodities in view of their role for the global macroeconomic performance. At the second stage ...