Consistency and change in idiographic personality: A longitudinal ESM network study
Emorie D Beck1, Joshua J Jackson1
1Department of Psychological Brain Sciences, Washington University in St. Louis.
Journal of Personality and Social Psychology
|May 24, 2019
Summary
This study explores idiographic personality development using novel network models. Results show significant individual differences in personality consistency over time, highlighting the value of personalized assessments.
Area of Science:
- Psychology
- Personality Science
- Developmental Psychology
Background:
- Traditional personality development research often uses nomothetic (between-person) trait assessments.
- Idiographic (individual-level) personality assessment offers a self-referenced perspective but faces methodological challenges.
- The developmental trajectory of idiographic personality remains largely unclear.
Purpose of the Study:
- To examine novel idiographic modeling techniques for assessing personality dynamics.
- To investigate the consistency and heterogeneity of idiographic personality over time.
- To demonstrate the utility of individual-level network models in personality research.
Main Methods:
- Utilized 2 years of Experience Sampling Method (ESM) data from the PAIRS study (N = 372).
- Computed idiographic graphical vector autoregressive (VAR) models (lagged and contemporaneous) at the individual level.
- Represented idiographic personality structures as networks for each participant.
Main Results:
- Idiographic personality models exhibited significant heterogeneity across participants, supporting an idiographic approach.
- Contemporaneous idiographic models showed consistency over two years, while lagged models did not.
- Individual differences in personality consistency were substantial, ranging from complete stability to significant change.
Conclusions:
- Novel idiographic modeling techniques provide valuable tools for understanding personality dynamics at an individual level.
- Idiographic assessments reveal diverse patterns of personality development not captured by traditional nomothetic methods.
- Future research should leverage these network models to explore personalized personality trajectories.
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