Mental disorder classification provides a definitional framework that underlies applied
clinical and research efforts to understand, assess, predict, prevent and ameliorate the …

The personalized approach to psychopathology conceptualizes mental disorder as a
complex system of contextualized dynamic processes that is nontrivially specific to each …

In recent years, network approaches to psychopathology have sparked much debate and
have had a significant impact on how mental disorders are perceived in the field of clinical …

A typical empirical study involves choosing a sample, a research design, and an analysis
path. Variation in such choices across studies leads to heterogeneity in results that introduce …

In this crowdsourced initiative, independent analysts used the same dataset to test two
hypotheses regarding the effects of scientists' gender and professional status on verbosity …

This chapter addresses fundamental issues of change in psychotherapy: how to measure,
monitor, predict change, and provide feedback on treatment outcome. The chapter starts …

This initiative examined systematically the extent to which a large set of archival research
findings generalizes across contexts. We repeated the key analyses for 29 original strategic …

Data analysis is challenging as analysts must navigate nuanced decisions that may yield
divergent conclusions. AI assistants have the potential to support analysts in planning their …

The relation between religiosity and well-being is one of the most researched topics in the
psychology of religion, yet the directionality and robustness of the effect remains debated …

In the psychological network approach, mental disorders such as major depressive disorder
are conceptualized as networks. The network approach focuses on the symptom structure or …