33 research outputs found
Evaluating the temporal structure and correlates of daily self-esteem using a trait sate error framework (TSE)
This study evaluates the temporal structure of daily self-esteem and the relative contribution of a range of theoretically motivated predictors of daily self-esteem. To assess self-esteem stability, a daily version of the Rosenberg Self-Esteem scale (RSE, Rosenberg, 1965) was administered to 278 undergraduates for five consecutive days. These short-term longitudinal data were analysed using the Trait State Error (TSE) modelling framework. The TSE decomposes multi-wave data into three components: (1) a stable trait component, (2) a state component, and (3) an error component. Significant predictors of the trait component of self-esteem observed across five days were: (1) emotional stability, and (2) the congruence between implicit and explicit self-esteem. Significant predictors of the state components of self-esteem were daily positive and negative events. We discuss the implications of these results for future research concerning self-esteem stability
The Perceived Objectivity of Ethical Beliefs: Psychological Findings and Implications for Public Policy
Mothers\u27 and Teachers\u27 Home and School Rules: Young Children\u27s Conceptions of Authority in Context
Samples of 95 preschoolers, first graders, and third graders responded to questions whereby one authority (mother or teacher) permitted an act (moral or conventional) to occur across contexts (home and school) and the other authority prohibited the act from occurring across contexts. Participants (a) were asked which authority the child should acquiesce to and whether an authority has the right to permit and prohibit the acts across contexts and (b) ranked and rated the seriousness of the acts. The results revealed that children\u27s evaluations were a function of three interrelated factors: the authorities\u27 status, the context, and the domain of the act. Age differences in children\u27s judgments and justifications are discussed
Latent curve analysis.
As a method for representing development, latent trait theory is presented in terms of a statistical model containing individual parameters and a structure on both the first and second moments of the random variables reflecting growth. Maximum likelihood parameter estimates and associated asymptotic tests follow directly. These procedures may be viewed as an alternative to standard repeated measures ANOVA and to first-order auto-regressive methods. As formulated, the model encompasses cohort sequential designs and allow for period or practice effects. A numerical illustration using data initially collected by Nesselroade and Baltes is presented
A Unified Latent Curve, Latent State-Trait Analysis of the Developmental Trajectories and Correlates of Positive Orientation
Literature documents that the judgments people hold about themselves, their life, and their future are important ingredients of their psychological functioning and well-being and are commonly related to each other. In this article, results from a longitudinal study (N = 298, 45% males) are presented. Using an integrative Latent Curve, Latent State-Trait Model (Tisak & Tisak, 2000), results corroborated (a) the impressive mean level and rank-order stability of positive orientation across a 4-year period, (b) the traitlike nature of positive orientation, and (c) the strong association of positive orientation with intrapersonal (i.e., quality of daily emotional experiences) and interpersonal (i.e., quality of friendships) adolescents' areas of functioning and on psychological resilience. These results attest to the utility of the new construct as a critical component of individuals' optimal well-functioning. © 2012 Copyright Taylor and Francis Group, LLC
Determination of the Regression Coefficients and Their Associated Standard Errors in Hierarchical Regression Analysis
The unique contribution of positive orientation to optimal functioning: Further explorations
Literature documents that the judgments people hold about themselves, their life, and their future are important ingredients of their psychological functioning and well-being, and are commonly related to each other. In this paper, results from a large cross-sectional sample (N = 1,331, 48% males) are presented attesting to the hypothesis that evaluations about oneself, one's life, and one's future rest on a common mode of viewing experiences named "Positive Orientation." These results corroborate the utility of the new construct as a critical component of individuals' well functioning. © 2011 Hogrefe Publishing. © 2011 Hogrefe Publishing
Investigating the Nature of Method Factors Through Multiple Informants: Evidence for a Specific Factor?
When a self-report instrument includes a balanced number of positively and negatively worded items, factor analysts often use method factors to aid model fitting. The nature of these factors, often referred to as acquiescence, is still debated. Relying upon previous results (Alessandri et al., 2010; DiStefano & Motl, 2006, 2008; Rauch, Schweizer, & Moosbrugger, 2007), we submit that the so-called method factors, instead, represent substantive specific factors. This study investigates the convergence of method effects across different observers. The revised Life Orientation Test (Scheier, Carver, & Bridges, 1994) was administered to a sample of 372 adults (57% females), with 372 acquaintances serving as informants. Results showed that a specific factor was detectable both with self- and other-ratings. A significant correlation across informants provided evidence for the convergence of this specific factor. Construct validity was examined by locating this specific factor within a nomological net of personality variables. Theoretical and practical implications of the findings are discusse
An Application of the LC-LSTM Framework to the Self-esteem Instability Case
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