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An Application of the LC-LSTM Framework to the Self-esteem Instability Case

Abstract

The present research evaluates the stability of self-esteem as assessed by a daily version of the Rosenberg (Society and the adolescent self-image, Princeton University Press, Princeton, 1965) general self-esteem scale (RGSE). The scale was administered to 391 undergraduates for five consecutive days. The longitudinal data were analyzed using the integrated LC-LSTM framework that allowed us to evaluate: (1) the measurement invariance of the RGSE, (2) its stability and change across the 5-day assessment period, (3) the amount of variance attributable to stable and transitory latent factors, and (4) the criterion-related validity of these factors. Results provided evidence for measurement invariance, mean-level stability, and rank-order stability of daily self-esteem. Latent state-trait analyses revealed that variances in scores of the RGSE can be decomposed into six components: stable self-esteem (40 %), ephemeral (or temporal-state) variance (36 %), stable negative method variance (9 %), stable positive method variance (4 %), specific variance (1 %) and random error variance (10 %). Moreover, latent factors associated with daily self-esteem were associated with measures of depression, implicit self-esteem, and grade point average.

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Figure 1.
Figure 2.

Notes

  1. We did not test a model with correlated uniqueness among both positively and negatively worded items, because, as noted by Marsh (1996), “a model with one GSE factor, positive-item correlated uniquenesses, and negative-item correlated uniquenesses is not identified (this is an inherent limitation with the model and has nothing to do with the particular data being tested)” (p. 816).

  2. As Model 10 resulted not-identified in three of the five waves, it was excluded for further consideration in the present study.

  3. In this model we freely estimated longitudinal residual correlations between identical items across time. These correlations were further constrained to equality, separately for each item (see Tisak & Tisak, 2000). Mplus syntax of this model can be obtained by the corresponding author.

  4. Notice that the temporal component of variance could be attributed to a state aspect of the items, errors of prediction, and temporal perturbations.

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Correspondence to Guido Alessandri.

Appendices

Appendix A. Items from the CES-D Scale and Stimuli from the IAT

Items from the CES-D scale Self-esteem IAT
1. I was bothered by things that usually don’t bother me. Target
2. I did not feel like eating; my appetite was poor. ME VS. OTHERS
3. I felt that I could not shake off the blues even with help from my family or friends. Attribute stimuli
4. I felt I was just as good as other people. Me
5. I had trouble keeping my mind on what I was doing. My
6. I felt depressed. Own
7. I felt that everything I did was an effort. I
8. I felt hopeful about the future. Self
9. I thought my life had been a failure. They
10. I felt fearful. Your
11. My sleep was restless. Them
12. I was happy. You
13. I talked less than usual. Others
14. I felt lonely.  
15. People were unfriendly.  
16. I enjoyed life.  
17. I had crying spells.  
18. I felt sad.  
19. I felt that people dislike me.  
20. I could not get “going.”  

Appendix B. An Mplus 5.1 Computer Program with Brief Comments for the Best Fitting Model of the Rosenberg Self-esteem Scale (RGSE)

TITLE: Mplus syntax for Model 9;

DATA: file is base.dat;

Analysis: Type is general;

Estimator=ML;

!PO1-5: positively worded items

!NE1-5: Negatively worded items

Variable: names are ID PO1 PO2 PO3 PO4 PO5 Ne1 NE2 NE3 NE4 NE5;

Usevariables are PO1 PO2 PO3 PO4 PO5 NE1 NE2 NE3 NE4 NE5;

Missing are all (-99.00);

Model:

!The items slopes are estimated and the latent self-esteem variance fixed

GSE by PO1*;

GSE by PO2;

GSE by PO3;

GSE by PO4;

GSE by PO5;

GSE by NE1;

GSE by NE2;

GSE by NE3;

GSE by NE4;

GSE by NE5;

GSE @1;

!The items slopes are estimated and the latent MFP variance fixed

MFP by PO1*;

MFP by PO2;

MFP by PO3;

MFP by PO4;

MFP by PO5;

MFP @1;

!The items slopes are estimated and the latent MNP variance fixed

MNF by NE1*;

MNF by NE2;

MNF by NE3;

MNF by NE4;

MNF by NE5;

MNF @1;

!MFP and MFN are uncorrelated with GSE but allowed to correlate with each other

MFP with GSE@0;

MNF with GSE@0;

Output: mod(3.86) tech1 sampstat standardized;

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Alessandri, G., Vecchione, M., Donnellan, B.M. et al. An Application of the LC-LSTM Framework to the Self-esteem Instability Case. Psychometrika 78, 769–792 (2013). https://doi.org/10.1007/s11336-013-9326-4

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  • DOI: https://doi.org/10.1007/s11336-013-9326-4

Key words

  • latent state-trait model
  • self-esteem
  • implicit self-esteem
  • measurement invariance
  • self-esteem instability