Contact, Political Solidarity and Collective Action: An Indian Case Study of Relations between Historically Disadvantaged Communities

Research on the contact hypothesis has highlighted the role of contact in improving intergroup relations. Most of this research has addressed the problem of transforming the prejudices of historically advantaged communities, thereby eroding wider patterns of discrimination and inequality. In the present research, drawing on evidence from a cross-sectional survey conducted in New Delhi, we explored an alternative process through which contact may promote social change, namely by fostering political solidarity and empowerment amongst the disadvantaged. The results indicated that Muslim studentsˈ experiences of contact with other disadvantaged communities were associated with their willingness to participate in joint collective action to reduce shared inequalities. This relationship was mediated by perceptions of collective efficacy and shared historical grievances and moderated by positive experiences of contact with the Hindu majority. Implications for recent debates about the relationship between contact and social change are discussed

Student perspectives on the relationship between a curve and its tangent in the transition from Euclidean Geometry to Analysis

The tangent line is a central concept in many mathematics and science courses. In this paper we describe a model of students’ thinking – concept images as well as ability in symbolic manipulation – about the tangent line of a curve as it has developed through students’ experiences in Euclidean Geometry and Analysis courses. Data was collected through a questionnaire administered to 196 Year 12 students. Through Latent Class Analysis, the participants were classified in three hierarchical groups representing the transition from a Geometrical Global perspective on the tangent line to an Analytical Local perspective. In the light of this classification, and through qualitative explanations of the students’ responses, we describe students’ thinking about tangents in terms of seven factors. We confirm the model constituted by these seven factors through Confirmatory Factor Analysis

Advances in behavioral genetics modeling using Mplus: Applications of factor mixture modeling to twin data.

This article discusses new latent variable techniques developed by the authors. As an illustration, a new factor mixture model is applied to the monozygotic-dizygotic twin analysis of binary items measuring alcohol-use disorder. In this model, heritability is simultaneously studied with respect to latent class membership and within-class severity dimensions. Different latent classes of individuals are allowed to have different heritability for the severity dimensions. The factor mixture approach appears to have great potential for the genetic analyses of heterogeneous populations. Generalizations for longitudinal data are also outlined

On method, theory, and the classification of complex disorders

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72867/1/j.1360-0443.1997.tb02886.x.pd

Norms for creativity and implementation in healthcare teams: testing the group innovation inventory

Abstract OBJECTIVE: To test to what extent the four-factor structure of the group innovation inventory (GII) is confirmed for improvement teams participating in a quality improvement collaborative. DESIGN: Quasi-experimental design with baseline and end-measurement after intervention. SETTING: This study included quality improvement teams participating in the Care for Better improvement programme for home care, care for the handicapped and the elderly in the Netherlands between 2006 and 2008. PARTICIPANTS: As part of a larger evaluation study, 261 written questionnaires from team members were collected at baseline (pre-project sample) and 129 questionnaires at end-measurement (post-project sample). MAIN OUTCOME MEASURE: Group innovation inventory. RESULTS: Confirmatory factor analyses revealed the expected four-factor structure and good fit indices. The subscales 'group functioning' and 'speed of action' showed acceptable Cronbach's alphas and high inter-item correlations. The subscales 'support for risk taking' and 'tolerance of mistakes' showed insufficient reliability and validity. CONCLUSIONS: The group functioning and speed of action subscales of the GII showed acceptable psychometric properties and are applicable to quality improvement teams in health care. In order to understand how social expectations within teams working in health care organizations exert influence over attitudes and behaviours thought to stimulate creativity, further conceptualization of the norms for enhancing creativity within health care is needed

Victimization Profiles, Non-Suicidal Self-Injury, Suicide Attempt, and Post-Traumatic Stress Disorder Symptomology: Application of Latent Class Analysis.

Few studies have incorporated multiple dimensions of victimization or examined whether victimization profiles differ by gender. Consequently, the present study sought to extend prior research by using latent class analysis (LCA) to identify naturally occurring subgroups of individuals who have experienced victimization, and to test for sex differences. Data from 4,016 females and 3,032 males in the Adult Psychiatric Morbidity Survey (APMS) were analyzed. Evidence of the existence of similar victimization subtypes for both males and females emerged, with a three-class solution providing the best fit to the data for both sexes. Furthermore, the classes were labeled “low victimization” (the baseline class; Class 3), the “high victimization class” (Class 1), and “the bullying and domestic violence class” (Class 2) for both males and females. Multinomial logistic regression was used to interpret the nature of the latent classes, or groups, by estimating the associations with post-traumatic stress disorder (PTSD) dimensions, suicide attempt, and non-suicidal self-injury. Although different constellations of victimization experiences did not emerge through the gender-specific analyses, the nature of the associations between class membership and external variables differed between males and females. Findings highlight the heterogeneity of victimization experiences and their relations to functioning, and have implications for policy and practice implications

A longitudinal high-risk study of adolescent anxiety, depression and parent-severity on the developmental course of risk-adjustment

Background Adolescence is associated with developments in the reward system and increased rates of emotional disorders. Familial risk for depression may be associated with disruptions in the reward system. However, it is unclear how symptoms of depression and anxiety influence the development of reward-processing over adolescence and whether variation in the severity of parental depression is associated with hyposensitivity to reward in a high-risk sample. Methods We focused on risk-adjustment (adjusting decisions about reward according to the probability of obtaining reward) as this was hypothesized to improve over adolescence. In a one-year longitudinal sample (N = 197) of adolescent offspring of depressed parents, we examined how symptoms of depression and anxiety (generalized anxiety and social anxiety) influenced the development of risk-adjustment. We also examined how parental depression severity influenced adolescent risk-adjustment. Results Risk-adjustment improved over the course of the study indicating improved adjustment of reward-seeking to shifting contingencies. Depressive symptoms were associated with decreases in risk-adjustment over time while social anxiety symptoms were associated with increases in risk-adjustment over time. Specifically, depression was associated with reductions in reward-seeking at favourable reward probabilities only, whereas social anxiety (but not generalized anxiety) led to reductions in reward-seeking at low reward probabilities only. Parent depression severity was associated with lowered risk-adjustment in offspring and also influenced the longitudinal relationship between risk-adjustment and offspring depression. Conclusions Anxiety and depression distinctly alter the pattern of longitudinal change in reward-processing. Severity of parent depression was associated with alterations in adolescent offspring reward-processing in a high-risk sample

Measuring Metacognition in Cancer: Validation of the Metacognitions Questionnaire 30 (MCQ-30)

Objective The Metacognitions Questionnaire 30 assesses metacognitive beliefs and processes which are central to the metacognitive model of emotional disorder. As recent studies have begun to explore the utility of this model for understanding emotional distress after cancer diagnosis, it is important also to assess the validity of the Metacognitions Questionnaire 30 for use in cancer populations. Methods 229 patients with primary breast or prostate cancer completed the Metacognitions Questionnaire 30 and the Hospital Anxiety and Depression Scale pre-treatment and again 12 months later. The structure and validity of the Metacognitions Questionnaire 30 were assessed using factor analyses and structural equation modelling. Results Confirmatory and exploratory factor analyses provided evidence supporting the validity of the previously published 5-factor structure of the Metacognitions Questionnaire 30. Specifically, both pre-treatment and 12 months later, this solution provided the best fit to the data and all items loaded on their expected factors. Structural equation modelling indicated that two dimensions of metacognition (positive and negative beliefs about worry) were significantly associated with anxiety and depression as predicted, providing further evidence of validity. Conclusions These findings provide initial evidence that the Metacognitions Questionnaire 30 is a valid measure for use in cancer populations

What to do when scalar invariance fails: The extended alignment method for multi-group factor analysis comparison of latent means across many groups

Scalar invariance is an unachievable ideal that in practice can only be approximated; often using potentially questionable approaches such as partial invariance based on a stepwise selection of parameter estimates with large modification indices. Study 1 demonstrates an extension of the power and flexibility of the alignment approach for comparing latent factor means in large-scale studies (30 OECD countries, 8 factors, 44 items, N = 249,840), for which scalar invariance is typically not supported in the traditional confirmatory factor analysis approach to measurement invariance(CFA-MI). Importantly, we introduce an alignment-within-CFA (AwC) approach, transforming alignment from a largely exploratory tool into a confirmatory tool, and enabling analyses that previously have not been possible with alignment (testing the invariance of uniquenesses and factor variances/covariances; multiple-group MIMIC models; contrasts on latent means) and structural equation models more generally. Specifically, it also allowed a comparison of gender differences in a 30-country MIMIC AwC (i.e., a SEM with gender as a covariate) and a 60-group AwC CFA (i.e., 30 countries × 2 genders) analysis. Study 2, a simulation study following up issues raised in Study 1, showed that latent means were more accurately estimated with alignment than with the scalar CFA-MI, and particularly with partial invariance scalar models based on the heavily criticized stepwise selection strategy. In summary, alignment augmented by AwC provides applied researchers from diverse disciplines considerable flexibility to address substantively important issues when the traditional CFA-MI scalar model does not fit the data