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A Latent Trait-State Model of Adolescent Depression Using the Center for Epidemiologic Studies-Depression Scale
Multivariate Behavioral Research
|January 8, 2016
Summary
This study shows the latent trait-state model effectively measures both stable (trait) and fluctuating (state) depression in adolescents using the CES-D scale. Findings highlight the model's utility for understanding adolescent mood dynamics.
Area of Science:
- Psychology
- Developmental Psychology
- Psychometrics
Background:
- Adolescent depression involves both stable traits and fluctuating states.
- Understanding these components is crucial for accurate assessment and intervention.
- The Center for Epidemiologic Studies Depression (CES-D) scale is a common measure.
Purpose of the Study:
- To apply the latent trait-state model to the CES-D scale in adolescents.
- To differentiate between stable (trait) and changing (state) depressive symptoms.
- To examine the factorial structure of the CES-D in males and females over time.
Main Methods:
- Utilized a latent trait-state model for variance decomposition.
- Assessed the factorial structure of the CES-D across four measurement occasions (6-month intervals).
- Analyzed trait, state, specific trait, and random error parameters.
Main Results:
- The CES-D scale demonstrated comparable measurement of trait and state depression.
- A statistically significant, though smaller, trait-specific variance parameter was identified.
- General trait and state depression parameters were larger than trait-specific parameters.
Conclusions:
- The latent trait-state model effectively captures dynamic features of adolescent depressive symptomology.
- Both stable and fluctuating components of depression are measurable in adolescents.
- The model offers valuable insights into developmental changes in mood.
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