Low self-esteem prospectively predicts depression in adolescence and young adulthood
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Citations
Childhood and Society.
Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies.
Life-span development of self-esteem and its effects on important life outcomes
The road to forgiveness: A meta-analytic synthesis of its situational and dispositional correlates.
Self-esteem development from young adulthood to old age: A cohort-sequential longitudinal study.
References
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication
Related Papers (5)
Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies.
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Frequently Asked Questions (7)
Q2. What processes of depression should be investigated in future research?
Future research should seek to identify the mediating processes of the effect of self-esteem on depression, which might consist in, for example, the interpersonal and intrapersonal processes described in the Introduction.
Q3. What did the results of the cross-lagged regression analysis show?
Cross-laggedregression analyses indicated that low self-esteem significantly predicted subsequent levels of depression, controlling for prior levels of depression.
Q4. What is the likelihood of explaining depression by using other variables?
if the low stability of depression across time indicated low reliability, the chances of explaining this variable by using other variables would be low.
Q5. How can the authors assess the effect size of the cross-lagged effects?
The size of the cross-lagged effects can be assessed by converting the regression coefficients into the r-metric (using sample size and the Z-values computed from the unstandardized coefficients and their associated standard errors; see, e.g., Rosenthal, 1994).
Q6. What was the fit of the two cross-lagged models?
In the second cross-lagged model (Model 4), the authors constrained the structural parameters (stability coefficients and cross-lagged coefficients) to be equal across all three time intervals.
Q7. What is the main strength of the present research?
One strength of the present research is the convergence of findings across Study 1 and 2,which helps alleviate some methodological concerns.