Why is support for Jamesian actual–ideal discrepancy model so elusive? A latent-variable approach

We investigate the Actual–Ideal Discrepancy (AID) model of self-esteem determination dating back to James (1890/1963). Although intuitively appealing, this model received weak support from rigorous empirical research. We propose a multiple-item latent difference approach to AID as applied to a range of self-concept domains and sub-domains in young adolescents from two different countries (UK: N = 402; Italy: N = 250). The effects of the AID remained elusive for most domains and sub-domains; indeed, the effects of the specific AIDs were generally trivial and only appearance-AID became significant in the combined sample. Also AIDs did not substantially explain the more general self-concepts beyond what was explained by the actual domains. Even if they had been significant, AID effects would have been, at best, trivially small and detectable only using appropriate latent-variable methodologies coupled with large sample sizes; thus undermining the psychological meaning of the AID model.     

Efficient nonparametric approaches for estimating the operating characteristics of discrete item responses

Rationale and the actual procedures of two nonparametric approaches, called Bivariate P.D.F. Approach and Conditional P.D.F. Approach, for estimating the operating characteristic of a discrete item response, or the conditional probability, given latent trait, that the examinee's response be that specific response, are introduced and discussed. These methods are featured by the facts that: (a) estimation is made without assuming any mathematical forms, and (b) it is based upon a relatively small sample of several hundred to a few thousand examinees.Some examples of the results obtained by the Simple Sum Procedure and the Differential Weight Procedure of the Conditional P.D.F. Approach are given, using simulated data. The usefulness of these nonparametric methods is also discussed.This research was mostly supported by the Office of Naval Research (N00014-77-C-0360, N00014-81-C-0569, N00014-87-K-0320, N00014-90-J-1456).     

Regression Mixture Models: Does Modeling the Covariance Between Independent Variables and Latent Classes Improve the Results?

Regression mixture models are increasingly used as an exploratory approach to identify heterogeneity in the effects of a predictor on an outcome. In this simulation study, we tested the effects of violating an implicit assumption often made in these models; that is, independent variables in the model are not directly related to latent classes. Results indicate that the major risk of failing to model the relationship between predictor and latent class was an increase in the probability of selecting additional latent classes and biased class proportions. In addition, we tested whether regression mixture models can detect a piecewise relationship between a predictor and outcome. Results suggest that these models are able to detect piecewise relations but only when the relationship between the latent class and the predictor is included in model estimation. We illustrate the implications of making this assumption through a reanalysis of applied data examining heterogeneity in the effects of family resources on academic achievement. We compare previous results (which assumed no relation between independent variables and latent class) to the model where this assumption is lifted. Implications and analytic suggestions for conducting regression mixture based on these findings are noted.     

Profiles of Peritraumatic Emotions

Researchers have identified peritraumatic emotions as important predictors of who will develop posttraumatic stress disorder (PTSD) symptoms. However, such investigations have not examined full profiles of emotions, perhaps because of the typical emphasis on fear or other Criterion A2 emotions. Such an examination could help us identify which peritraumatic emotions are prominent, and how they relate to important posttrauma outcomes. Thus, the aim of this study was to identify distinct profiles of peritraumatic emotions and their correlates using a comprehensive survey of peri- and posttraumatic reactions. We conducted a latent profile analysis of peritraumatic emotions in 398 undergraduate students who reported a DSM–IV A1 trauma and then compared the resulting profiles on trauma type, PTSD, depression, and posttraumatic cognitions. Six distinct profiles emerged: 3 had consistently low, medium, or high levels across the range of emotions, with 3 others primarily characterized by low shame and guilt, high anger and guilt, and low guilt. These profiles significantly differed in terms of trauma type, PTSD, depression, and posttraumatic cognitions. In particular, profiles with high levels of anger, shame, and guilt were consistently related to overall worse functioning. Importantly, fear and associated emotions did not differentiate between profiles. These results have important implications for the phenomenology of posttrauma emotional reactions and strongly suggest that the clinical assessment of traumatic experiences go beyond fear-based conceptualizations.     

Temporal dynamics of need satisfaction and need frustration. Two sides of the same coin?

We study the dynamics of need satisfaction and need frustration by examining how need satisfaction and need frustration change over time and how these changes relate to changes in motivation. To investigate this, volunteers were assessed daily during a delineated activity, resulting in a total sample of 77 volunteers and 467 completed daily diaries. Bayesian confirmatory factor analysis on the within-person level confirmed a bifactor solution: autonomy, competence, and relatedness were distinguished by three specific factors, but the majority of variance was explained by two strongly correlated (need satisfaction and need frustration) factors. The strong correlation between need satisfaction and need frustration further translated in the development of their relationship over time. That is, Bayesian latent growth curve modelling revealed a simultaneous, yet opposite, growth curve. Contrary to our expectations, neither of them could be related to behavioural internalization or externalization. These results imply that, at the within-person level, momentary need satisfaction and frustration are difficult to distinguish, and affecting one may automatically affect the other. Also, the relationships within the self-determination framework, such as the proposed link between need satisfaction and behavioural internalization may be better reframed with attention to the time-frame in which they occur.     

Profiles of commitment in standard and fixed-term employment arrangements: Implications for work outcomes

This paper develops and tests a framework for understanding the relative importance and predictive efficacy of commitment to one’s profession, organization, supervisor and job in both standard and fixed-term employment arrangements. Drawing from the commitment and employment arrangement literatures, we test a set of hypotheses identifying distinct patterns of commitments (i.e., commitment profiles) to these four targets that should yield desired work-related outcomes in standard and fixed-term employment arrangements. We test our hypotheses using latent profile analysis on data collected from two Finnish universities (N1 = 235, N2 = 233). A high macro profile, characterized by high commitment to profession, organization and job, and moderate commitment to supervisor, emerged for employees in standard employment relationships, and this profile was associated with significantly higher positive work behaviours and work effort and lower turnover intentions than the other profiles. For employees with fixed-term employment contracts, a high cosmopolitan profile emerged, characterized by high commitment to the profession and job and low commitment to the organization and supervisor. For these employees, this profile was associated with positive work behaviours and work effort comparable to the high macro profile. Implications for theory, research and practice are discussed.     

The role of traffic law enforcements in the relationship between cultural variables and traffic fatality rates across some countries of the world

The aims of the present study were to investigate whether cultural variables are related to law enforcements as well as traffic fatality rates and to examine the role of law enforcements of five risk factors for road safety (i.e., national speed law, national drink-driving law, national motorcycle helmet law, national seat-belt law, and national child restraint law) in the relationship between cultural variables and traffic fatality rates across countries of the world. The aggregated data of the study included Hofstede’s cultural dimensions, Schwartz’s value dimensions, law enforcements of five risk factors for road safety, gross national income per capita, and traffic fatality rates for 97 countries of the world. The results showed that most of the cultural variables were associated with law enforcements of five risk factors for road safety and traffic fatality rates of countries. By bootstrapping, among Hofstede’s cultural dimensions, it was found that the indirect effects of long-term orientation (LTO) on fatality rates (FR) through speed, helmet, and child restraint enforcements were significant, separately. Among Schwartz’s value dimensions, the indirect effects of embeddedness on fatality rates through speed and child restraint enforcements were significant, separately. Intellectual autonomy had also significant indirect effects on fatality rates via speed and child restraint enforcements, separately. Finally, it was found that the indirect effects of affective autonomy on fatality rates through speed and helmet enforcements were significant, separately.     

Still Doing Fine? The Interplay of Negative Life Events and Self‐Esteem During Young Adulthood

This longitudinal study investigated the bidirectional relationship between negative life events and self‐esteem during the transition from adolescence to young adulthood (N = 2272). Drawing on theories of human development over the lifespan and just‐world theory, we analyzed age‐graded changes in self‐esteem and their interplay with negative life events at three measurement points over a 12‐year period. We addressed both the short‐term and the longer term effects of single as well as multiple negative life events on changes in self‐esteem (socialization effects). We further investigated whether the pre‐event level of self‐esteem affected the likelihood of negative life events occurring (selection effects) and, finally, whether it had protective effects in terms of helping people adjust to negative events. Latent change models yielded four main findings: (i) self‐esteem increased during young adulthood; (ii) socialization effects were observed over shorter and longer timespans, but (iii) selection effects were only found for multiple negative life events, with low self‐esteem predicting a high number of negative life events; (iv) high pre‐event self‐esteem acted as a protective factor, attenuating declines in self‐esteem after experience of multiple negative life events. Copyright © 2016 European Association of Personality Psychology