The stability of mastery motivation and its relationship with home environment in infants and toddlers

Mastery motivation (intrinsic drives to explore and master one's environment) is a key developmental element. The aims of this study were to investigate (1) the stability of mastery motivation between 2 and 3 years of age for two genders; and (2) the associations between early home environment and toddlers’ mastery motivation in children with typical development.

Methods

Data of 102 children developing typically from a birth cohort study at Northern Taiwan were analyzed in two parts: (1) stability part: mastery motivation of children were measured at 2 and 3 years of age; (2) environment part: child-parent dyads were assessed from birth, 4 months, 6 months, and 2-3 years of age. Outcomes variables were measured at ages 2 and 3 years by the Dimension of Mastery Questionnaire-17th version. Main predictive variables were measured by Home Observation for Measuring Environment Inventory (HOME) to collect data of the qualities of home environment at 6 months and 2 years; by the Revised Infant Temperament Questionnaire to obtain 4-month activity levels; and by the Comprehensive Developmental Inventory for Infants and Toddlers to obtain 2-year developmental quotient (DQ).

Results

There was moderate stability of mastery motivation from 2 to 3 years, and girls’ stability was higher than boys’. 6-Month HOME rather than 2-year HOME measures were positively and significantly correlated with instrumental mastery motivation even when controlling for gender, activity level, and DQ.

Conclusion

Mastery motivation had moderate stability during the toddler period. The quality of home environment in infancy appeared to have a significant impact on toddler's mastery motivation. To promote mastery motivation, caregivers should provide better quality of home environment for infants/toddlers during the very early years.     

Generalized constrained multiple correspondence analysis

A comprehensive approach for imposing both row and column constraints on multivariate discrete data is proposed that may be called generalized constrained multiple correspondence analysis (GCMCA). In this method each set of discrete data is first decomposed into several submatrices according to its row and column constraints, and then multiple correspondence analysis (MCA) is applied to the decomposed submatrices to explore relationships among them. This method subsumes existing constrained and unconstrained MCA methods as special cases and also generalizes various kinds of linearly constrained correspondence analysis methods. An example is given to illustrate the proposed method.Heungsun Hwang is now at Claes Fornell International Group. The work reported in this paper was supported by Grant A6394 from the Natural Sciences and Engineering Research Council of Canada to the second author.     

Ethnic differences in clinical presentation of depression in adult women

This study examined ethnic differences in self-report and interviewer-rated depressive symptoms and estimated the contributions of sociodemographic and psychosocial factors in predicting severity of depression. One hundred twenty-five clinically depressed African American (n = 46), Caucasian (n = 36), and Latina (n = 43) women were recruited. After controlling for differences in socioeconomic status, African American women reported more symptoms of distress and Latinas were rated as significantly more depressed than the other groups. However, these ethnic differences were not moderated by either education or employment. Finally, hierarchical regression analysis indicated that severity of depression was predicted by low education, being single, being Latina, high perceived stress, and feelings of hopelessness. Additional research is needed to validate these results and to investigate their clinical significance.     

A multivariate reduced-rank growth curve model with unbalanced data

A multivariate reduced-rank growth curve model is proposed that extends the univariate reducedrank growth curve model to the multivariate case, in which several response variables are measured over multiple time points. The proposed model allows us to investigate the relationships among a number of response variables in a more parsimonious way than the traditional growth curve model. In addition, the method is more flexible than the traditional growth curve model. For example, response variables do not have to be measured at the same time points, nor the same number of time points. It is also possible to apply various kinds of basis function matrices with different ranks across response variables. It is not necessary to specify an entire set of basis functions in advance. Examples are given for illustration.The work reported in this paper was supported by Grant A6394 from the Natural Sciences and Engineering Research Council of Canada to the second author. We thank Jennifer Stephan for her helpful comments on an earlier version of this paper. We also thank Patrick Curran and Terry Duncan for kindly letting us use the NLSY and substance use data, respectively. The substance use data were provided by Grant DA09548 from the National Institute on Drug Abuse.     

Should I Stay or Should I Go? Understanding How British and Indonesian Extremists Disengage and Why They Don't

This article compares how individuals from two different Salafi-jihadi groups disengage from high-risk activism and political violence. Drawing on original interviews, we explore the “push” and “pull” factors that influence our respondents' decisions to leave. We identify numerous push-and-pull factors that are consistent with previous research, including disagreements with group leaders over strategy and practices and educational and employment opportunities. We also contribute to existing research by including “persistent activists” in our sample who did not disengage. Surprisingly, these respondents remained in their groups despite experiencing some of the same push-and-pull factors as those who left. Including this variation allows us to separate necessary but insufficient conditions of disengagement from factors that exert a more profound impact. We highlight the influence of one key factor—and its absence—in our discussion: alternative social networks with supportive outsiders for those who left and the lack of such meaningful relationships for those who remained. We conclude by discussing the implications of our research for countering violent extremism.     

The effects of four days of intensive mindfulness meditation training (Templestay program) on resilience to stress: a randomized controlled trial

The interest in mindfulness meditation interventions has surged due to their beneficial effects in fostering resilience and reducing stress in both clinical and non-clinical populations. However, the relaxation benefits that may occur while practicing mindfulness meditation and long-term benefits of these interventions remain unclear. Fifty-one participants were recruited and randomized into the experimental and control groups, which underwent 4 days of Intensive Meditation (Templestay program, n = 33) and Relaxation (Control, n = 18), respectively. The self-report measures of Cognitive and Affective Mindfulness Scale-Revised (CAMS) and the modified Korean version of the Resilience Quotient Test (RQT) were administered pre-, post- and 3 months after the intervention to measure participants’ levels of mindfulness and resilience. Participants in both the Templestay program and Control groups showed significant increases in their scores on CAMS and RQT after completing the program. During the 3-month follow-up, a significant interaction effect of the intervention method and time was revealed for the individuals’ CAMS and RQT scores. Our findings support the hypothesis that while relaxation practices may have certain stress reduction effects, the effects are predominantly mediated by the mindfulness meditation practice. Furthermore, the long-term benefits of increased resilience observed in the Templestay program group suggest that the practice may be a possible treatment strategy in clinical populations, such as patients with depression and anxiety.     

Functional Generalized Structured Component Analysis

An extension of Generalized Structured Component Analysis (GSCA), called Functional GSCA, is proposed to analyze functional data that are considered to arise from an underlying smooth curve varying over time or other continua. GSCA has been geared for the analysis of multivariate data. Accordingly, it cannot deal with functional data that often involve different measurement occasions across participants and a large number of measurement occasions that exceed the number of participants. Functional GSCA addresses these issues by integrating GSCA with spline basis function expansions that represent infinite-dimensional curves onto a finite-dimensional space. For parameter estimation, functional GSCA minimizes a penalized least squares criterion by using an alternating penalized least squares estimation algorithm. The usefulness of functional GSCA is illustrated with gait data.     

Expressed Emotion,Appraisal and Coping by Patients with Recent-onset Schizophrenia: A Pilot Investigation

This pilot study sought to follow up on indications that patients from households with high levels of expressed emotion (EE) differ from those from households with low levels of EE in ways not assessed in typical symptom rating profiles. We examined how patients appraised and coped with a prominent societal stressor. Soon after the start of the Gulf War, 22 patients with recent-onset schizophrenia living in Los Angeles appraised the stressor and completed a coping questionnaire. Results indicated that patients from high-EE homes were likely to use emotion-based confrontational methods to cope with the crisis, while patients from low-EE environments were likely to use avoidance and denial. Patients from high-EE homes thus coped with this non-familial, societal stressor in a way similar to the way in which they have been observed to cope with family conflict: they more readily expressed their anger and frustration than patients from low-EE homes. These pilot data suggest that increased attention should be directed toward those patient behaviours that may be associated with either an increase or decrease in negative affective behaviour from relatives. It may also be fruitful to consider more broadly the adaptive and maladaptive features of the preferred coping strategies of patients from high-EE and low-EE environments.