Transitions in sleep problems from late adolescence to young adulthood: A longitudinal analysis of the effects of peer victimization

Adolescence is a developmental period with high vulnerability to sleep problems. However, research identifying distinct patterns and underlying determinants of sleep problems is scarce. This study investigated discrete subgroups of, changes in, and stability of sleep problems. We also examined whether peer victimization influenced sleep problem subgroups and transitions in patterns of sleep problems from late adolescence to young adulthood. Sex differences in the effects of peer victimization were also explored. In total, 1,455 male and 1,399 female adolescents from northern Taiwan participated in this longitudinal study. Latent transition analysis was used to examine changes in patterns of sleep problems and the effects of peer victimization on these changes. We identified three subgroups of sleep problems in males and two in females, and found that there was a certain level of instability in patterns of sleep problems during the study period. For both sexes, those with greater increases in peer victimization over time were more likely to change from being a good sleeper to a poor sleeper. The effects of peer victimization on baseline status of sleep problems, however, was only significant for males, with those exposed to higher levels of peer victimization more likely to be poor sleepers at baseline. Our findings reveal an important role of peer victimization in predicting transitions in patterns of sleep problems. Intervention programs aimed at decreasing peer victimization may help reduce the development and escalation of sleep problems among adolescents, especially in males.

     

Training analysis and training models

This article has the intention of giving impulses to a hopefully more creative and open-minded discussion of the function of training analysis and the kind of training model we seem to take for granted in the Scandinavian countries, the Eitingon model. I will consider some historical background data on this model as well as some historical data on the development in France which have created an alternative model of training. Especially in Sweden, there has been a stormy debate during the last years about the training analyst functions and some members have actually decided to leave our association because of this. I would like to try to shift focus from just a ‘yes-or-no-perspective’? to a broader question of our psychoanalytical society’s purpose and structure and how the training-model could sustain it.     

Comment on Björn Sahlberg’s paper

This paper is a comment on Björn Sahlberg’s paper on the function of training analysis in the Swedish psychoanalytic association and discusses some aspects of the candidates’ personal analysis and supervision. The paper further suggests some possible sources for inspiration and perspective on organizational and educational issues, for example taking an interest in the epistemology of professions, in what the concept of ‘reflection-in-action’ could mean in the training situation, or in empirical research about the educational models and the practice of psychoanalysis.     

Testing Process Factor Analysis Models Using the Parametric Bootstrap

Process factor analysis (PFA) is a latent variable model for intensive longitudinal data. It combines P-technique factor analysis and time series analysis. The goodness-of-fit test in PFA is currently unavailable. In the paper, we propose a parametric bootstrap method for assessing model fit in PFA. We illustrate the test with an empirical data set in which 22 participants rated their effects everyday over a period of 90 days. We also explore Type I error and power of the parametric bootstrap test with simulated data.     

Misspecification in Latent Change Score Models: Consequences for Parameter Estimation,Model Evaluation,and Predicting Change

Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study investigates the robustness of LCS when invariance over time is incorrectly imposed on key change-related parameters. Monte Carlo simulation methods were used to explore the impact of misspecification on parameter estimation, predicted trajectories of change, and model fit in the dual change score model, the foundational LCS. When constraints were incorrectly applied, several parameters, most notably the slope (i.e., constant change) factor mean and autoproportion coefficient, were severely and consistently biased, as were regression paths to the slope factor when external predictors of change were included. Standard fit indices indicated that the misspecified models fit well, partly because mean level trajectories over time were accurately captured. Loosening constraint improved the accuracy of parameter estimates, but estimates were more unstable, and models frequently failed to converge. Results suggest that potentially common sources of misspecification in LCS can produce distorted impressions of developmental processes, and that identifying and rectifying the situation is a challenge.     

A comparison of analysis methods to estimate contingency strength

To date, several data analysis methods have been used to estimate contingency strength, yet few studies have compared these methods directly. To compare the relative precision and sensitivity of four analysis methods (i.e., exhaustive event‐based, nonexhaustive event‐based, concurrent interval, concurrent+lag interval), we applied all methods to a simulated data set in which several response‐dependent and response‐independent schedules of reinforcement were programmed. We evaluated the degree to which contingency strength estimates produced from each method (a) corresponded with expected values for response‐dependent schedules and (b) showed sensitivity to parametric manipulations of response‐independent reinforcement. Results indicated both event‐based methods produced contingency strength estimates that aligned with expected values for response‐dependent schedules, but differed in sensitivity to response‐independent reinforcement. The precision of interval‐based methods varied by analysis method (concurrent vs. concurrent+lag) and schedule type (continuous vs. partial), and showed similar sensitivities to response‐independent reinforcement. Recommendations and considerations for measuring contingencies are identified.     

Sound attenuation and preferred music in the treatment of problem behavior maintained by escape from noise

We examined the extent to which different sounds functioned as motivating operations (MO) that evoked problem behavior during a functional analysis for two participants. Results suggested that escape from loud noises reinforced the problem behavior for one participant and escape from arguing reinforced problem behavior for the other participant. Noncontingent delivery of preferred music through sound‐attenuating headphones decreased problem behavior without the use of extinction for both participants. We discuss the results in terms of the abolishing effects of the intervention.     

Exploration of Prelicensed Counselors’ Experiences Prioritizing Information for Clinical Supervision

This qualitative study explored prelicensed counselors’ experiences prioritizing information for clinical supervision. Through phenomenological interviews, 7 counselors seeking licensure discussed how they self‐report salient information to their supervisors. Using interpretative phenomenological analysis, the authors identified 3 themes: (a) learned to maximize supervision based on structure of supervision, (b) influences on decision to present, and (c) rationale for presenting client case. Implications for counselors and supervisors are discussed.     

Trusting the Media? TV News as a Source of Knowledge

Abstract

Why do we trust TV news? What reasons might support a recipient’s assessment of the trustworthiness of this kind of information? This paper presents a veritistic analysis of the epistemic practice of news production and communication. The topic is approached by discussing a detailed case study, namely the characteristics of the most popular German news programme, called the ‘Tagesschau’. It will be shown that a veritistic analysis can indeed provide a recipient with relevant reasons to consider when pondering on the trustworthiness of sources of information. Moreover, it will turn out that these reasons are part of what recipients might gather from media literacy.     

Positional Goods and the Social Rank Hypothesis: Income Inequality Affects Online Chatter about High‐ and Low‐Status Brands on Twitter

According to a social rank hypothesis, consumers who live in regions with higher income inequality will show greater interest in, and attention toward, positional goods and high‐status brands that serve a social signaling role. We analyze millions of posts on the microblogging platform Twitter for mentions of high‐ and low‐status brands. We find that luxury brands such as “Louis Vuitton” and “Rolex” are more frequently mentioned in tweets originating from US states, counties, and major metropolitan areas with higher levels of income inequality. In contrast, mentions of everyday brands such as “Walmart” or “Kmart” are more frequent in regions with a more equal distribution of income. Using sentiment analysis, we find higher valence (positivity) and arousal (excitement) for tweets that both mention high‐status brands and originate from regions with high levels of income inequality. These results corroborate the social rank hypothesis, showing that more psychological resources are allocated to positional consumption when the income gap between the rich and the poor is larger.