Cultural identity dynamics: Capturing changes in cultural identities over time and their intraindividual organization

Important life transitions – such as migration – have the potential to enrich one's sense of self, but they are also demanding and challenging. The current research investigates how cultural identities change and become configured over time among newly arrived international students and the social factors that predict these longitudinal changes. A four‐wave longitudinal study was conducted during international students' first year in their new country (N = 278). Multivariate hierarchical linear modeling analyses allowed us to unpack both baseline (between‐person) and intraindividual change (within‐person) effects. Whereas increased psychological need satisfaction via both the new and one's heritage cultural group predicted increased identity integration, greater discrimination (i.e., both at baseline and an increase over time) predicted increased compartmentalization and the predominance (categorization) of one identity over the others. Results are discussed in light of novel theoretical developments in the acculturation and identity change literatures.     

Future Time Perspective and Gratitude in Daily Life: A Micro‐longitudinal Study

Preliminary cross‐sectional evidence suggests that future time perspective (FTP) is associated with dispositional gratitude, but research on daily perceptions of FTP and their relations to daily gratitude is lacking. In this study, we addressed this gap by examining how FTP and gratitude jointly unfold in daily life and how these relations vary within and across individuals. A micro‐longitudinal design (N = 331, adults aged 18–77) with daily assessments over two workweeks was employed to examine the relations between gratitude and two components of FTP (remaining opportunities and time). Three important results from random intercepts cross‐lagged panel models stand out. First, we found evidence for within‐person day‐to‐day carry‐over effects in FTP and gratitude. Second, FTP and gratitude were systematically related within and across individuals. Third, age and dispositional forms of FTP and gratitude predicted between‐person differences in FTP and gratitude in daily life. Finally, exploratory multilevel analyses have shown that the associations between daily FTP and gratitude vary across ages at the between‐person level but not at the within‐person level. Overall, these findings advance our understanding of perceptions of FTP in daily life and their associations with gratitude in adulthood. © 2019 European Association of Personality Psychology     

Intraindividual Dynamic Network Analysis – Implications for Clinical Assessment

A network analysis approach to psychopathology regards symptoms as mutually interacting components of a multifaceted system (Borsboom & Cramer, 2013). Although several studies using this approach have examined comorbidity between disorders using cross-sectional samples, a direct application of the network analysis approach to intraindividual dynamic relations between symptoms in a complex, comorbid case has not been reported. The current article describes an intraindividual dynamic network analysis (IDNA) approach to understanding the psychopathology of an individual using dynamic (over time) lead-lag interrelations between symptoms. Multivariate time series data were utilized to create and examine an intraindividual, lag-1 network of the partial, day-to-day relations of symptoms in an individual with comorbid mood and anxiety disorders. Characteristics of the network, including centrality indices, stability, dynamic processes between symptoms, and their implications for clinical assessment are described. Additional clinical implications and future directions for IDNA, including the potential incremental validity of this assessment approach for empirically-based idiographic assessment and personalized treatment planning, are discussed. This person-specific IDNA approach may be especially useful in complex and comorbid cases.     

Remotely Close Associations: Openness to Experience and Semantic Memory Structure

Openness to experience—the enjoyment of novel experiences and ideas—has many connections to cognitive processes. People high in openness to experience, for example, tend to be more creative and have broader general knowledge than people low in openness to experience. In the current study, we use a network science approach to examine if the organization of semantic memory differs between high and low groups of openness to experience. A sample of 516 adults completed measures of openness to experience (from the NEO Five‐Factor Inventory‐3 and Big Five Aspect Scales) and a semantic verbal fluency task. Next, the sample was split into half to form high (n = 258) and low (n = 258) openness to experience groups. Semantic networks were then constructed on the basis of their verbal fluency responses. Our results revealed that the high openness to experience group's network was more interconnected, flexible, and had better local organization of associations than the low openness to experience group. We also found that the high openness to experience group generated more responses on average and provided more unique responses than the low openness to experience group. Taken together, our results indicate that openness to experience is related to semantic memory structure. © 2018 European Association of Personality Psychology     

A Person‐oriented Approach to Identifying Parenting Styles in Mothers of Early School‐age Children

A substantial body of work has been dedicated to understanding the behaviours that characterize mothers' interactions with their children. Most research on parenting has used a variable‐oriented approach, limiting analysis to one or a few parenting behaviours and failing to identify higher‐order interactions or patterns among variables. Thus, little is known about how different behaviours co‐occur in individual mothers to form styles of parenting. In this study, a person‐oriented approach was used to develop a typology of maternal parenting styles based on a broad range of observed and self‐reported parenting behaviours. The study sample consisted of 408 socio‐demographically diverse mother–child pairs. Cluster analysis revealed six parenting groups—(1) balanced parenting; (2) warm/involved parenting; (3) task‐focused parenting; (4) detached/inconsistent parenting; (5) intrusive parenting; and (6) self‐critical parenting—two of which (task‐focused and self‐critical parenting) have not been previously represented in the parenting literature. The maternal parenting typology developed through this study provides useful information on the profiles of parenting behaviour that are associated with the highest levels of demographic and psychological risk in mothers who exhibit these profiles. Copyright © 2014 John Wiley & Sons, Ltd.     

‘Grandpa,Do You Like Roller Coasters?’: Identifying Age‐Appropriate Personality Indicators

Personality development research heavily relies on the comparison of scale means across age. This approach implicitly assumes that the scales are strictly measurement invariant across age. We questioned this assumption by examining whether appropriate personality indicators change over the lifespan. Moreover, we identified which types of items (e.g. dispositions, behaviours, and interests) are particularly prone to age effects. We reanalyzed the German Revised NEO Personality Inventory normative sample (N = 11,724) and applied a genetic algorithm to select short scales that yield acceptable model fit and reliability across locally weighted samples ranging from 16 to 66 years of age. We then examined how the item selection changes across age points and item types. Emotion‐type items seemed to be interchangeable and generally applicable to people of all ages. Specific interests, attitudes, and social effect items—most prevalent within the domains of Extraversion, Agreeableness, and Openness—seemed to be more prone to measurement variations over age. A large proportion of items were systematically discarded by the item‐selection procedure, indicating that, independent of age, many items are problematic measures of the underlying traits. The implications for personality assessment and personality development research are discussed. © 2019 European Association of Personality Psychology     

Understanding Systems Change in Early Implementation of Housing First in Canadian Communities: An Examination of Facilitators/Barriers,Training/Technical Assistance,and Points of Leverage

We present interim findings of a cross‐site case study of an initiative to expand Housing First (HF) in Canada through training and technical assistance (TTA). HF is an evidence‐based practice designed to end chronic homelessness for consumers of mental health services. We draw upon concepts from implementation science and systems change theory to examine how early implementation occurs within a system. Case studies examining HF early implementation were conducted in six Canadian communities receiving HF TTA. The primary data are field notes gathered over 1.5 years and evaluations from site‐specific training events (k = 5, n = 302) and regional network training events (k = 4, n = 276). We report findings related to: (a) the facilitators of and barriers to early implementation, (b) the influence of TTA on early implementation, and (c) the “levers” used to facilitate broader systems change. Systems change theory enabled us to understand how various “levers” created opportunities for change within the communities, including establishing system boundaries, understanding how systems components can function as causes of or solutions to a problem, and assessing and changing systems interactions. We conclude by arguing that systems theory adds value to existing implementation science frameworks and can be helpful in future research on the implementation of evidence‐based practices such as HF which is a complex community intervention. Implications for community psychology are discussed.     

The social network of solidarity with migrants: The role of perceived injunctive norms on intergroup helping behaviors

Using an ego-centered network approach, we examine across two studies whether and how injunctive network norms—behaviors that are approved by alters—are related to majority members’ decisions to participate in helping actions supporting migrants. We hypothesize that the more people perceive their personal social networks as positive toward humanitarian actions for migrants, the more they consider their opinions on migration issues as self-defining, and the more they are willing to mobilize in helping behaviors. With a name generator approach, we collected personal social network data among majority members of Belgian, mobilized volunteers (Study 1, N = 204) and Swiss, non-mobilized participants (Study 2, N = 247). Results demonstrate the impact of injunctive network norms in promoting and maintaining helping actions for migrants, and the role of self-defining attitudes. Overall, the results highlight the importance of injunctive norms within personal social networks for participation in intergroup helping behaviors.     

Measurement‐Burst Designs for Social Health Research

Questions about variability and change in human behavior lie at the heart of much research in the behavioral sciences. This commentary examines the use of the measurement‐burst design ( Nesselroade, 1991 ) as an approach to study within‐person processes that transpire over very different temporal intervals. Consisting of repeated bursts of intensive (i.e., daily or momentary) assessments, the burst design can augment the type of information obtained from conventional daily diary and prospective longitudinal designs. We describe how the measurement‐burst approach can improve detection of long‐term intraindividual change, and how it can be used to study intraindividual variability and change in fine‐grained temporal relationships between daily experiences (e.g., hassles) and psychological states (e.g., mood). Some of the difficulties of implementing and analyzing data from measurement‐burst designs are discussed.     

Linking property crime using offender crime scene behaviour: A comparison of methods

This study compared the ability of seven statistical models to distinguish between linked and unlinked crimes. The seven models utilised geographical, temporal, and modus operandi information relating to residential burglaries (n = 180), commercial robberies, (n = 118), and car thefts (n = 376). Model performance was assessed using receiver operating characteristic analysis and by examining the success with which the seven models could successfully prioritise linked over unlinked crimes. The regression‐based and probabilistic models achieved comparable accuracy and were generally more accurate than the tree‐based models tested in this study. The Logistic algorithm achieved the highest area under the curve (AUC) for residential burglary (AUC = 0.903) and commercial robbery (AUC = 0.830) and the SimpleLogistic algorithm achieving the highest for car theft (AUC = 0.820). The findings also indicated that discrimination accuracy is maximised (in some situations) if behavioural domains are utilised rather than individual crime scene behaviours and that the AUC should not be used as the sole measure of accuracy in behavioural crime linkage research.     

Are People Mindful in Different Ways? Disentangling the Quantity and Quality of Mindfulness in Latent Profiles and Exploring their Links to Mental Health and Life Effectiveness

We sought to disambiguate the quantitative and qualitative components of mindfulness profiles, examine whether including ‘nonattachment’ as a subcomponent of mindfulness alters the profiles, and evaluate the extent to which the person‐centred approach to understanding mindfulness adds predictive power beyond a more parsimonious variable‐centred approach. Using data from a nationally representative sample of Americans (N = 7884; 52% female; Age: M = 47.9, SD = 16), we utilized bifactor exploratory structural equation modelling and latent profile analysis to separate the level and shape of previously identified profiles of mindfulness (Pearson, Lawless, Brown, & Bravo, 2015 ). Consistent with past research, we identified a judgmentally observing profile and a non‐judgmentally aware group, but inconsistent with past research, we did not find profiles that showed high or low levels on all specific aspects of mindfulness. Adding nonattachment did not alter the shape of the profiles. Profile membership was meaningfully related to demographic variables. In models testing the distinctive predictive utility of the profiles, the judgmentally observing profile, compared to the other profiles, showed the highest levels of mental ill‐health, but also the highest levels of life satisfaction and effectiveness. We discuss the implications of our study for clinical interventions and understanding the varieties of mindfulness. Copyright © 2017 European Association of Personality Psychology     

The relationship between leisure time and driving style in two groups of male drivers

Despite overall improvements in traffic safety levels, young male drivers continue to be over represented in accidents. In this study the association between driving style and leisure time was examined in two groups of drivers. The sample consisted of 4000 male drivers of which 2000 were 18 years old and 2000 were 28 years old. A posted questionnaire was used. The overall response rate was 51% (N = 2018). A similar factor structure of three factors with regard to driving style was identified in both groups of drivers. The factors were named Thrill, Anxiety and Anger. Despite significant differences regarding specific leisure time activities, a similar relationship between leisure time and driving style was found in the two groups of drivers particularly in relation to problem behaviours. In both groups driving related interaction with friends as well as a high paced leisure time was found to be related to a high score on the factors Thrill and Anger. In the older group of drivers cruising with friends was associated with problem behaviours such as smoking pot and doing drugs. Results indicate a need for early intervention enhancing safe behavioural choices thereby preventing unsafe behaviours to become permanent behavioural strategies in life.     

Mapping differential responses to cognitive training using machine learning

We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self‐organizing maps (SOMs)—a type of simple artificial neural network—to represent multivariate cognitive training data, and then tested whether the way tasks are represented changed as a result of training. The patterns of change we observed in the SOM weight matrices implied that the processes drawn upon to perform WM tasks changed following training. This was then combined with K‐means clustering to identify distinct groups of children who respond to the training in different ways. Firstly, the K‐means clustering was applied to an independent large sample (N = 616, M_age = 9.16 years, range = 5.16–17.91 years) to identify subgroups. We then allocated children who had been through cognitive training (N = 179, M_age = 9.00 years, range = 7.08–11.50 years) to these same four subgroups, both before and after their training. In doing so, we were able to map their improvement trajectories. Scores on a separate measure of fluid intelligence were predictive of a child's improvement trajectory. This paper provides an alternative approach to analysing cognitive training data that go beyond considering changes in individual tasks. This proof‐of‐principle demonstrates a potentially powerful way of distinguishing task‐specific from domain‐general changes following training and of establishing different profiles of response to training.     

Acute stress responses after indirect exposure to the MH17 airplane crash

People can experience disasters vicariously (indirectly) via conversation, social media, radio, and television, even when not directly involved in a disaster. This study examined whether vicarious exposure to the MH17‐airplane crash in Ukraine, with 196 Dutch victims, elicited affective and somatic responses in Dutch adults about 2,600 km away, who happened to participate in an ongoing diary study. Participants (n = 141) filled out a diary three times a day for 30 days on their smartphones. Within‐person changes in positive affect (PA) and negative affect (NA) and somatic symptoms after the crash were studied. Additionally, we tested whether between‐person differences in response could be explained by age, baseline personality (NEO‐FFI‐3), and media exposure. The MH17 crash elicited a small within‐person decrease in PA and an increase in NA and somatic symptoms. This response waned after 3 days and returned to baseline at day four. The decrease in PA was larger in more extraverted participants but smaller in those higher on neuroticism or conscientiousness. The NA response was smaller in elderly. Personality did not seem to moderate the NA and somatic response, and neither did media exposure. Dutch participants showed small acute somatic and affective responses up till 3 days to a disaster that they had not directly witnessed. Vicariously experienced disasters can thus elicit affective‐visceral responses indicative of acute stress reactions. Personality and age explained some of the individual differences in this reaction.     

Infants’ intentionally communicative vocalizations elicit responses from caregivers and are the best predictors of the transition to language: A longitudinal investigation of infants’ vocalizations,gestures and word production

What aspects of infants’ prelinguistic communication are most valuable for learning to speak, and why? We test whether early vocalizations and gestures drive the transition to word use because, in addition to indicating motoric readiness, they (a) are early instances of intentional communication and (b) elicit verbal responses from caregivers. In study 1, 11 month olds (N = 134) were observed to coordinate vocalizations and gestures with gaze to their caregiver's face at above chance rates, indicating that they are plausibly intentionally communicative. Study 2 tested whether those infant communicative acts that were gaze‐coordinated best predicted later expressive vocabulary. We report a novel procedure for predicting vocabulary via multi‐model inference over a comprehensive set of infant behaviours produced at 11 and 12 months (n = 58). This makes it possible to establish the relative predictive value of different behaviours that are hierarchically organized by level of granularity. Gaze‐coordinated vocalizations were the most valuable predictors of expressive vocabulary size up to 24 months. Study 3 established that caregivers were more likely to respond to gaze‐coordinated behaviours. Moreover, the dyadic combination of infant gaze‐coordinated vocalization and caregiver response was by far the best predictor of later vocabulary size. We conclude that practice with prelinguistic intentional communication facilitates the leap to symbol use. Learning is optimized when caregivers respond to intentional vocalizations with appropriate language.     

Inaction inertia in retirement saving

In retirement saving, many people miss out on early opportunities to save and subsequently fail to take adequate actions for a long time thereafter. We examined whether these two observations—the initial failure to act and the subsequent inertia—could be related through the phenomenon of inaction inertia. In Experiment 1 (N = 180), participants were less likely to save for retirement when the difference in annual return between the current opportunity and the missed opportunity was large versus small. In Experiment 2 (N = 180), participants were less likely to start saving for retirement when reminded of a missed opportunity 10 years ago versus 1 year ago. These data constitute the first demonstration of inaction inertia in retirement saving: People's reluctance to act on attractive saving opportunities may be induced by their previous inaction. In Experiment 3 (N = 340) and Experiment 4 (N = 628), we find that the observed inertia is the product of a tendency to underestimate exponential growth combined with a focus on past opportunities. Building on this mechanism, Experiment 5 (N = 916) provided evidence for a potential remedy; the inaction inertia effect completely disappeared when focus was shifted from required contributions to future outcomes.     

Network structure reveals clusters of associations between childhood adversities and development outcomes

Exposure to childhood adversity is common and associated with a host of negative developmental outcomes. The most common approach used to examine the consequences of adversity exposure is a cumulative risk model. Recently, we have proposed a novel approach, the dimensional model of adversity and psychopathology (DMAP), where different dimensions of adversity are hypothesized to impact health and well‐being through different pathways. We expect deprivation to primarily disrupt cognitive processing, whereas we expect threat to primarily alter emotional reactivity and automatic regulation. Recent hypothesis‐driven approaches provide support for these differential associations of deprivation and threat on developmental outcomes. However, it is not clear whether these patterns would emerge using data‐driven approaches. Here we use a network analytic approach to identify clusters of related adversity exposures and outcomes in an initial study (Study 1: N = 277 adolescents aged 16–17 years; 55.1% female) and a replication (Study 2: N = 262 children aged 8–16 years; 45.4% female). We statistically compare our observed clusters with our hypothesized DMAP model and a clustering we hypothesize would be the result of a cumulative stress model. In both samples we observed a network structure consistent with the DMAP model and statistically different than the hypothesized cumulative stress model. Future work seeking to identify in the pathways through which adversity impacts development should consider multiple dimensions of adversity.