Exploring the Dynamics of Dyadic Interactions via Hierarchical Segmentation

In this article we present an exploratory tool for extracting systematic patterns from multivariate data. The technique, hierarchical segmentation (HS), can be used to group multivariate time series into segments with similar discrete-state recurrence patterns and it is not restricted by the stationarity assumption. We use a simulation study to describe the steps and properties of HS. We then use empirical data on daily affect from one couple to illustrate the use of HS for describing the affective dynamics of the dyad. First, we partition the data into three periods that represent different affective states and show different dynamics between both individuals’ affect. We then examine the synchrony between both individuals’ affective states and identify different patterns of coherence across the periods. Finally, we discuss the possibilities of using results from HS to construct confirmatory dynamic models with multiple change points or regime-specific dynamics.     

Bayesian Estimation of Random Coefficient Dynamic Factor Models

Dynamic factor models (DFMs) have typically been applied to multivariate time series data collected from a single unit of study, such as a single individual or dyad. The goal of DFMs application is to capture dynamics of multivariate systems. When multiple units are available, however, DFMs are not suited to capture variations in dynamics across units. The aims of this study are (a) to propose a random coefficient DFM (RC-DFM) to statistically model variations of dynamics across multiple units using the Bayesian method, (b) to illustrate the use of the proposed procedure by applying RC-DFMs to affect data collected from multiple dyads in romantic relationships, and (c) to evaluate the performance of the RC-DFMs with Bayesian estimation through simulation analyses. The results from the simulation analyses show that the Bayesian estimation of RC-DFMs works well in recovering parameters including both fixed and random effects. A number of practical considerations are provided to guide future research on using Bayesian methods for estimating multivariate time series from multiple units.     

Analyzing the Dynamics of Affective Dyadic Interactions Using Patterns of Intra- and Interindividual Variability

There are many compelling accounts of the ways in which the emotions of 1 member of a romantic relationship should influence and be influenced by the partner. However, there are relatively few methodological tools available for representing the alleged complexity of dyad level emotional experiences. In this article, we present an algorithm for examining such affective dynamics based on patterns of variability. The algorithm identifies periods of stability based on length of time and amplitude of emotional fluctuations. The patterns of variability and stability are quantified at the individual and dyadic level, and the approach is illustrated using data of the daily emotional experiences of individuals in romantic couples. With this technique, we examine the fluctuations of the emotions for each person and inspect the overlap fluctuations between both individuals in the dyad. The individual and dyadic indices of variability are then used to predict the status of the dyads (i.e., together, apart) 1 year later.     

Response to Oud & Folmer: Randomness and Residuals

This article presents our response to Oud and Folmer's “Modeling Oscillation, Approximately or Exactly?” (2011), which criticizes aspects of our article, “Latent Differential Equation Modeling of Self-Regulatory and Coregulatory Affective Processes” (2011). In this response, we present a conceptual explanation of the derivative-based estimation that we implemented in our original article, as well as the exact discrete model promoted by Oud &; Folmer. We describe relevant differences between each of the two methods, highlight some of their benefits and limitations, and offer justifications for our choice.     

Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability

As a method specifically intended for the study of messages, content analysis is fundamental to mass communication research. Intercoder reliability, more specifically termed intercoder agreement, is a measure of the extent to which independent judges make the same coding decisions in evaluating the characteristics of messages, and is at the heart of this method. Yet there are few standard and accessible guidelines available regarding the appropriate procedures to use to assess and report intercoder reliability, or software tools to calculate it. As a result, it seems likely that there is little consistency in how this critical element of content analysis is assessed and reported in published mass communication studies. Following a review of relevant concepts, indices, and tools, a content analysis of 200 studies utilizing content analysis published in the communication literature between 1994 and 1998 is used to characterize practices in the field. The results demonstrate that mass communication researchers often fail to assess (or at least report) intercoder reliability and often rely on percent agreement, an overly liberal index. Based on the review and these results, concrete guidelines are offered regarding procedures for assessment and reporting of this important aspect of content analysis.     

The concept of love in a Spanish representative sample

The model of romantic love and the acceptance of related myths have been granted wide relevance in our context. It has also been suggested that the concept of love can play a role in the origin and maintenance of gender violence. As an initial step towards researching this relationship, the objective of this article is to study the prevailing concept of love in the Spanish population, as well as to analyze any differences that gender and age may introduce in this conception. A reduced version of the Love Attitudes Scale was administered to a representative sample of 1,351 people. Results show that both men and women widely accept the love styles Eros, Agape, Storge and Pragma, reject the Ludus style, and are indifferent to the Mania style. However, the order of preference for love styles is different for men and women and for different age groups. These results are analyzed and discussed.     

Resilience,religiosity and treatment adherence in hemodialysis patients: a prospective study

Resilience and religiosity have received attention as an important process in the experience and management of chronic comorbidities; however, there is no study evaluating resilience in hemodialysis patients and its association with other psychological dimensions or with treatment adherence. This observational prospective study assessed resilience (25 item Wagnild and Young Resilience Scale), religiosity under three dimensions (organizational, non-organizational and intrinsic) using DUREL scale, depressive symptoms (Patient Health Questionnaire-9) and health-related quality of life (Short Form-36 questionnaire). The main outcomes were medication adherence using the Morisky Medication Adherence Scale-8 (MMAR-8) and the missing/shortened dialysis sessions in the following six months. Of 208 patients approached, 202 (97.1%) agreed to participate. One hundred twenty-three patients (60.9%) were males and mean age was 52.8 ± 14.8 years-old. The median time on hemodialysis was 36 months (IQR, 12, 84). 82 (40.6%) patients obtained a MMAS-8 score <6 and were considered as having ‘poor adherence’. Overall, the mean score of medication adherence was low (5.7 ± 2.1). About adherence to hemodialysis sessions, patients missed a total of 234 (1.6%) hemodialysis sessions. Forty-eight patients (23.7%) missed an average of at least three sessions in six months. Regarding adherence to medication, there was no association in the uni- or multivariate analysis between religiosity dimensions and MMAS-8 score. After adjustment, resilience was positively associated with MMAS-8 score (standardized β coefficient .239, p = .016). Organized and intrinsic religiosity were associated with adherence to dialysis sessions (standardized β coefficient .258, p = .004 and .231, p = .026, respectively). Interestingly, opposite to medication adherence, more resilient patients were associated with less adherence to hemodialysis sessions (standardized β coefficient ?.296, p = .001). Religiosity was associated with dialysis adherence but not with medication adherence. Resilience was associated with higher medication adherence but lower adherence to dialysis sessions.     

Virtual reality cue reactivity assessment in cigarette smokers.

Drug craving has purportedly been linked to relapse and to substance use. For over two decades, cue reactivity has been a viable method to assess craving and physiological reactions to drug stimuli. However, traditional cue reactivity has faced the following limitations: austere situations or stimuli, lack of complex cues, lack of standardization, and limited generalization outside of the lab setting. In order to improve cue methodologies, a virtual reality (VR) nicotine cue reactivity assessment system (VR-NCRAS) was developed and tested in a controlled experimental trial. Ten nicotine dependent smokers were exposed to VR smoking cues and VR neutral cues in a standardized, timed, computer controlled experiment. Subjective craving and physiological responses were recorded and compared across VR-NCRAS stimuli. Subjective cigarette craving increased significantly and corresponding physiological reactivity was observed in response to VR smoking cues. VR neutral cues did not result in subjective or physiological changes consistent with craving. Implications of these findings on substance abuse research and treatment are discussed.     

Enhanced response inhibition during intensive meditation training predicts improvements in self-reported adaptive socioemotional functioning

We examined the impact of training-induced improvements in self-regulation, operationalized in terms of response inhibition, on longitudinal changes in self-reported adaptive socioemotional functioning. Data were collected from participants undergoing 3 months of intensive meditation training in an isolated retreat setting (Retreat 1) and a wait-list control group that later underwent identical training (Retreat 2). A 32-min response inhibition task (RIT) was designed to assess sustained self-regulatory control. Adaptive functioning (AF) was operationalized as a single latent factor underlying self-report measures of anxious and avoidant attachment, mindfulness, ego resilience, empathy, the five major personality traits (extroversion, agreeableness, conscientiousness, neuroticism, and openness to experience), difficulties in emotion regulation, depression, anxiety, and psychological well-being. Participants in Retreat 1 improved in RIT performance and AF over time whereas the controls did not. The control participants later also improved on both dimensions during their own retreat (Retreat 2). These improved levels of RIT performance and AF were sustained in follow-up assessments conducted approximately 5 months after the training. Longitudinal dynamic models with combined data from both retreats showed that improvement in RIT performance during training influenced the change in AF over time, which is consistent with a key claim in the Buddhist literature that enhanced capacity for self-regulation is an important precursor of changes in emotional well-being.