Advancing and Integrating Theory and Analytical Approaches: APIM and Common Fate Trajectory Approaches

Concurrent Sessions 8

Tae Kyong Lee, Kandauda K.A.S. Wickrama, Catherine O'Neal, K.A.S. (Kandauda) Wickrama, Tae Kyoung Lee , Tae Kyoung Lee

Discussant: Amy Rauer; Organizer: Tae Kyoung Lee; Chair: K. A. S. (Kandauda) Wickrama

8:30 AM
9:45 AM
Location
Pacific Salon 2
Session #
317
Session Type
Symposium
Session Focus
  • Research
Organized By
  • Research & Theory

About the Session

  • 317-01 - Examining Actor and Partner Effects of Marital Strain Over Time on Loneliness by Extending APIM Approach
    By Tae Kyong Lee, Kandauda K.A.S. Wickrama, Catherine O'Neal
  • 317-02 - Examining Common Fate Effects of Marital Strain Over Time on Loneliness by Extending CFM Approach
    By K.A.S. (Kandauda) Wickrama, Tae Kyoung Lee
  • 317-03 - Examining Actor, Partner, and Common Fate Influences of Marital Strain on Loneliness by Extending APIM and CFM Approaches
    By Tae Kyoung Lee

Abstract(s)

Research suggests that stressful marital experiences are a powerful predictor of loneliness in later adulthood, which has serious health consequences (Ayalon et al., 2013). Theories drawing from emotional/cognitive (de Jong Gierveld., 2009), relational (Bersheild & Amazzalorso, 2001), ecological (Bronfenbrenner, 1994), and life course (Elder & Giele, 2009) frameworks explain the longitudinal impact of stressful marital experiences on loneliness. However, to test these theories, advanced analytical approaches are needed to model multi-level and longitudinal hypotheses. This symposium illustrates cutting-edge extensions linking theories and analytical procedures using data from couples over 25 years.

Objectives

• To investigate the longtiduinal impact of stressful marital experiences on lonliness using a longitudinal dyadic dataset. • To eamine both couple-level and indivdiual-level associations beween stressful marital experiences and lonliness simultaneously.• To analyze longitudinal dyadic data using advanced quantitative methods.

Bundle name
Conference Session