Hierarchical models for relational event sequences

Interaction within small groups can often be represented as a sequence of events, each event involving a sender and a recipient. Recent methods for modeling network data in continuous time model the rate at which individuals interact conditioned on the previous history of events as well as actor covariates. We present a hierarchical extension for modeling multiple such sequences, facilitating inferences about event-level dynamics and their variation across sequences. The hierarchical approach allows one to share information across sequences in a principled manner—we illustrate the efficacy of such sharing through a set of prediction experiments. After discussing methods for adequacy checking and model selection for this class of models, the method is illustrated with an analysis of high school classroom dynamics from 297 sessions.     

A Test of Order-Constrained Hypotheses for Circular Data With Applications to Human Movement Science

Researchers studying the movements of the human body often encounter data measured in angles (e.g., angular displacements of joints). The evaluation of these circular data requires special statistical methods. The authors introduce a new test for the analysis of order-constrained hypotheses for circular data. Through this test, researchers can evaluate their expectations regarding the outcome of an experiment directly by representing their ideas in the form of a hypothesis containing inequality constraints. The resulting data analysis is generally more powerful than one using standard null hypothesis testing. Two examples of circular data from human movement science are presented to illustrate the use of the test. Results from a simulation study show that the test performs well.     

Predicting early emotion knowledge development among children of colour living in historically disinvested neighbourhoods: consideration of child pre-academic abilities,self-regulation,peer relations and parental education

ABSTRACT

Emotion knowledge, the ability to accurately perceive and label emotions, predicts higher quality peer relations, higher social competence, higher academic achievement, and fewer behaviour problems. Less is known, however, about predictors of early development of emotion knowledge. This study examines emotion knowledge development among children attending pre-Kindergarten and Kindergarten programmes in high-poverty urban schools. The study considers child pre-academic abilities, self-regulation, peer relations and parental education as predictors of emotion knowledge development over two years. The sample (n?=?1034) of children living in historically disinvested neighbourhoods was primarily Black (85%) and low-income (～61%). The sample was part of a longitudinal follow-up study of a cluster (school) randomised controlled trial in ten public elementary schools. Children’s emotion knowledge was assessed with a series of tasks three times over a two-year period. At baseline, parents and teachers reported on peer relations, children completed a test of pre-academic abilities, independent observers rated child self-regulation, and parents reported on their educational attainment. Results demonstrate that emotion knowledge increases over time, and pre-academic abilities, self-regulation, peer relations, and parent education independently predict children’s emotion knowledge. This study highlights multiple factors that predict emotion knowledge among primarily Black children living in historically disinvested neighbourhoods.     

Effects of a Peer Engagement Program on Socially Withdrawn Children with a History of Maltreatment

Children with a history of child maltreatment often have limited social interactions with other children and adults. This study examined the effects of a Peer Engagement Program, consisting of peer mentoring and social skills training with positive reinforcement, in three children with low levels of oral and social interaction. A multiple baseline, single-subject research design was used to test whether introduction of the intervention was associated with increased, directly observed oral interaction and engagement in social activities with peers and adults. The Child Behavior Checklist (CBCL) and the Social Skills Rating Scale (SSRS) were administered before and after intervention. All children showed increased levels of oral and social interaction and improved scores on the SSRS and the CBCL.     

Self-Management Training With Families of Insulin-Dependent Diabetic Children:

In a control group design with a multiple baseline across behaviors component, insulin dependent diabetic children and their parents were trained in self-managment. Parents and children conducted behavior change projects related to diabetes health care and a metabolic measure of diabetes control was obtained. When compared with control subjects, self-managment subjects reported a large decline in diabetes related family conflict and an increase in compliance with the medical regimen. These changes were maintained at six month follow-up. Both experimental and control subjects exhibited signficant improvements on the metabolic measure of diabetes control. Implications of these findings are discussed.     

EDITORIAL

The aim of the present study was to evaluate the usefulness of Barkley’s (1997a) model of inhibition and executive functioning in describing the deficits associated with Attention Deficit Hyperactivity Disorder (ADHD). Besides group differences, the present study addressed the question of independent effects of inhibition and the other executive functions in discriminating between children with ADHD and controls and how well, in terms of sensitivity and specificity, these measures can classify the children into the correct group. The results showed that children with ADHD differed significantly from controls with regard to measures of inhibition as well as all other executive function measures, except repetition of hand movements. In logistic regression models, three different measures tapping inhibition, working memory and emotion regulation were shown to be significant independent predictors of group membership. The sensitivity for these three variables as a set was 76.2, the specificity was 90.5, with a total of 86% of the sample correctly classified. When excluding the parental rating of emotion regulation, the overall classification rate decreased some, but was still relatively high in comparison with previous studies within this area of research.     

Evaluating Structural Equation Models for Categorical Outcomes: A New Test Statistic and a Practical Challenge of Interpretation

This research is concerned with two topics in assessing model fit for categorical data analysis. The first topic involves the application of a limited-information overall test, introduced in the item response theory literature, to structural equation modeling (SEM) of categorical outcome variables. Most popular SEM test statistics assess how well the model reproduces estimated polychoric correlations. In contrast, limited-information test statistics assess how well the underlying categorical data are reproduced. Here, the recently introduced C₂ statistic of Cai and Monroe (2014) is applied. The second topic concerns how the root mean square error of approximation (RMSEA) fit index can be affected by the number of categories in the outcome variable. This relationship creates challenges for interpreting RMSEA. While the two topics initially appear unrelated, they may conveniently be studied in tandem since RMSEA is based on an overall test statistic, such as C₂. The results are illustrated with an empirical application to data from a large-scale educational survey.     

Are emotional intelligent workers also more empathic?

This paper analyzes whether emotional intelligence and self‐monitoring are related to empathy among a sample of workers in both the public and private employment sectors. Two hundred and forty‐two employees (42.5% men and 57.5% women) with a mean age of 35.21 years (SD = 10.07, range 18–61) completed a questionnaire that measured the variables of interest. The results showed that emotion regulation, a dimension of emotional intelligence, accounts for most of the variance of empathy, followed by the ability to understand emotions and the management of others' emotions. Furthermore, gender did not yield any moderator effect on the relations among emotional intelligence, self‐monitoring and empathy. We conclude that the intrapersonal aspects of emotional intelligence, in particular, emotion regulation, help explain the empathy of workers. The implications of these findings are discussed herein.     

Psychometric evaluation and normative data for a Swedish version of the Patient Health Questionnaire 15‐Item Somatic Symptom Severity Scale

The lack of an available Swedish version of the Patient Health Questionnaire 15‐Item Somatic Symptom Severity Scale (PHQ‐15) motivated the present psychometric evaluation of such a version as well as providing normative data for the PHQ‐15. Data from 3,406 individuals who took part in the Västerbotten Environmental Health Study in Sweden were used. The respondents constitute a random sample, aged 18 to 79 years, stratified for age and sex. They responded to a Swedish translation of the PHQ‐15 as well as the Hospital Anxiety and Depression Scale, the Perceived Stress Scale, and the Shirom Melamed Burnout Questionnaire for assessment of convergent validity. The distribution of PHQ‐15 scores was positively skewed and mesokurtic in shape, and the internal consistency of the PHQ‐15 was satisfactory. Correlation coefficients between PHQ‐15 score and the measures of anxiety, depression, stress and mental/physical exhaustion indicate satisfactory validity. Normative data for PHQ‐15 scores as well as for categories of somatic symptom severity are provided. The favorable psychometric properties of the Swedish version of the PHQ‐15 suggest use of this instrument for quantification of somatization in Swedish and similar populations, and has the advantage of available normative data.     

Interpreting cross-sectional data on stages of change

Abstract

The vast majority of studies investigating stage theories of health behaviour such as the transtheoretical model have used a cross-sectional research design. Participants are classified into stages and compared on theoretically relevant variables. This paper discusses the proper interpretation of cross-sectional data on stages of change. Linear patterns are not consistent with the stage model assumption that different causal factors are important at different stages but discontinuity patterns (patterns that do not show consistent increments or decrements across stages) can be diagnostic of a stage model. Researchers who use cross-sectional designs should specify predictions concerning the patterns to be expected under a stage model and under possible rival models, and interpret their data accordingly. Wherever possible, they should conduct prospective longitudinal and experimental studies which enable stronger inferences to be drawn.