Peter A. Edelsbrunner

How to become a Bayesian in eight easy steps: An annotated reading list

In this guide, we present a reading list to serve as a concise introduction to Bayesian data analysis. The introduction is geared toward reviewers, editors, and interested researchers who are new to Bayesian statistics. We provide commentary for eight recommended sources, which together cover the theoretical and practical cornerstones of Bayesian statistics in psychology and related sciences. The resources are presented in an incremental order, starting with theoretical foundations and moving on to applied issues. In addition, we outline an additional 32 articles and books that can be consulted to gain background knowledge about various theoretical specifics and Bayesian approaches to frequently used models. Our goal is to offer researchers a starting point for understanding the core tenets of Bayesian analysis, while requiring a low level of time commitment. After consulting our guide, the reader should understand how and why Bayesian methods work, and feel able to evaluate their use in the behavioral and social sciences.

Associations between risk behaviour and social status in European adolescents

Both theory and empirical evidence suggest that adolescents engage in risk behaviour to gain mature status, thereby becoming popular among their peers. Using a cross-sectional design with 20 school classes from higher secondary schools in Austria and the Netherlands, associations between risk behaviour and social status in late adolescence were examined (N = 408, Mage = 16.95, SD = 0.81, 50% male). Popularity and likeability were assessed as distinct facets of social status in adolescence using peer nominations. Self-reported risk behaviour included alcohol, tobacco and marijuana use, as well as sexual intercourse. Using a latent variable approach, results showed that in accordance with our assumptions, risk behaviour was strongly associated with popularity, but not with likeability. This study shows that in Austria and the Netherlands, associations between risk behaviour and social status among peers are in line with findings from outside of Europe. Theoretical and practical implications of these results are discussed and proposals for future research are given.

Formal and Informal Learning and First-Year Psychology Students’ Development of Scientific Thinking: A Two-Wave Panel Study

Scientific thinking is a predicate for scientific inquiry, and thus important to develop early in psychology students as potential future researchers. The present research is aimed at fathoming the contributions of formal and informal learning experiences to psychology students’ development of scientific thinking during their 1st-year of study. We hypothesize that informal experiences are relevant beyond formal experiences. First-year psychology student cohorts from various European countries will be assessed at the beginning and again at the end of the second semester. Assessments of scientific thinking will include scientific reasoning skills, the understanding of basic statistics concepts, and epistemic cognition. Formal learning experiences will include engagement in academic activities which are guided by university authorities. Informal learning experiences will include non-compulsory, self-guided learning experiences. Formal and informal experiences will be assessed with a newly developed survey. As dispositional predictors, students’ need for cognition and self-efficacy in psychological science will be assessed. In a structural equation model, students’ learning experiences and personal dispositions will be examined as predictors of their development of scientific thinking. Commonalities and differences in predictive weights across universities will be tested. The project is aimed at contributing information for designing university environments to optimize the development of students’ scientific thinking.