Login / Signup

A dimensional taxonomy of perceived characteristics of major life events.

Maike LuhmannIna FassbenderMark AlcockPeter Haehner
Published in: Journal of personality and social psychology (2020)
Major life events (MLEs) are studied in many different areas in psychology such as personality development, clinical psychology, or posttraumatic growth. In all of these areas, a common finding is that MLEs differ in their effects on psychological outcomes. However, a framework that allows a systematic examination of these differences is still absent. This article presents a systematic literature review and 4 empirical studies (Ns between 226 and 449, total N = 1,477) in which we developed and evaluated a dimensional taxonomy of 9 perceived characteristics of MLEs: valence, impact, predictability, challenge, emotional significance, change in worldviews, social status changes, external control, and extraordinariness. These event characteristics can be measured reliably with the Event Characteristics Questionnaire (ECQ). Perceived event characteristics predicted individual differences in changes in subjective well-being in both retrospective and longitudinal data after MLEs over and above established predictors of subjective well-being such as personality and demographic characteristics. A comparison between the ECQ and established taxonomies of situation characteristics such as the DIAMONDS (Rauthmann et al., 2014) showed high conceptual and empirical convergence between some ECQ subscales (e.g., valence, challenge) with characteristics of situations, whereas other ECQ subscales (e.g., social status changes, external control) were conceptually and empirically distinct from situation characteristics. In sum, including measures of perceived event characteristics in studies on MLEs may enhance our understanding of why MLEs differ in the direction, strength, and duration of their effects on psychological outcomes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Keyphrases
  • mental health
  • physical activity
  • healthcare
  • depressive symptoms
  • type diabetes
  • social support
  • skeletal muscle
  • artificial intelligence
  • adverse drug
  • dengue virus