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.     

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 study of a Christian 12-Step Program for Christian Smartphone-Addicted Adolescents: A Biblical Perspective

Journal of Religion and Health - The aim of this study was to explore the suitability of a Christian 12-step program based on a biblical perspective for smartphone-addicted adolescents. The study...     

The Benefits of Spiritual Diaries: A Mixed-Method Study in Korea

Journal of Religion and Health - This mixed study examined the benefits of spiritual diaries in Korea. Quantitatively, differences in spiritual growth and psychological well-being were examined in...     

Life Satisfaction in Time Orientation

Applied Research in Quality of Life - Time orientation influences people’s perception and evaluation of a situation. Satisfaction in the present life and the future life is likely to be...     

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.     

Duchenne Muscular Dystrophy: a Survey of Perspectives on Carrier Testing and Communication Within the Family

Carrier testing is widely available for multiple genetic conditions, and several professional organizations have created practice guidelines regarding appropriate clinical application and the testing of minors. Previous research has focused on carrier screening, predictive testing, and testing for X-linked conditions. However, family perspectives on carrier testing for X-linked lethal diseases have yet to be described. In this study, we explored communication within the family about carrier testing and the perspectives of mothers of sons with an X-linked lethal disease, Duchenne muscular dystrophy (DMD). Twenty-five mothers of sons with DMD participated in an anonymous online survey. Survey questions included multiple choice, Likert scale, and open ended, short answer questions. Analysis of the multiple choice and Likert scale questions revealed that most mothers preferred a gradual style of communication with their daughters regarding risk status. In addition, most participants reported having consulted with a genetic counselor and found it helpful. Comparisons between groups, analyzed using Fisher’s exact tests, found no differences in preferred style due to mother’s carrier status or having a daughter. Thematic analysis was conducted on responses to open ended questions. Themes identified included the impact of family implications, age and maturity, and a desire for autonomy regarding the decision to discuss and undergo carrier testing with at-risk daughters, particularly timing of these discussions. Implications for genetic counseling practice are discussed.     

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.