Measuring Religious Attitudes in Secularized Western European Context: A Psychometric Analysis of the Post-Critical Belief Scale

Wulff's two-dimensional model of approaches to religion was an inspiration for the development of the Post-Critical Belief Scale (PCBS), an instrument measuring religious attitudes, that is, “paradigms of religious belief structure” in a secularized Western European context. The scale has been frequently used in psychological studies, has undergone psychometric analyses and modifications, and has been translated into several languages. The current study shows results of a psychometric analysis of the component structure of PCBS in different age groups over time using Clusterwise Simultaneous Component Analysis-Equal Cross-Product (SCA-ECP). The analysis was based on samples collected in Flanders (Belgium; N = 14,599). The one-cluster and two-cluster models yielded three components: Literal Affirmation, Literal Disaffirmation, and Symbolic Attitude, and there were no differences between age groups. In the two-cluster model, subtle differences between samples collected before and after 2002 were found, and these were related to two PCBS items referring to interpretation of Biblical stories. Our finding of a generalized Symbolic Attitude might be related to the changes in the approaches to religion in secularized Western Europe, and might capture the religious (dis-)belief of individuals who are open and tolerant to other religious systems, or alternatively, have become indifferent to them. Further cross-cultural and longitudinal studies are needed to better understand the religious attitudes in a secularized context, and the development of a new scale based on the paradigm of personal meaning systems is suggested     

Emotional Bonds with Parents, Emotion Regulation, and School-Related Behavior Problems Among Elementary School Truants

Among juvenile status offenses, truancy represents the largest share of juvenile court caseloads. As a marker of risk, truancy is important because of its associations with school disengagement, drop-out, and developmental trajectories that include various forms of delinquency and anti-social behavior. Better understanding of the developmental circumstances and needs of truant children may point the way to more effective intervention strategies. Much accumulated research has shown strong associations between the emergence of juvenile delinquency and qualities of caregiving in parent–child relationships. Child-parent attachment in particular has been identified as an important developmental foundation of the child-parent relationship. We used a multi-informant approach to examine associations between children’s self-reported perceptions of attachment security (using the Security Scales), their emotion regulation (reported by parents on the Emotion Regulation Checklist), and school-related behavior problems (as reported by teachers with the Child Behavior Checklist), among 74 elementary school-aged truant children (mean age 9 years). Children and families were recruited through a truancy intervention program in a state in the deep South in the U.S. Data were analyzed via hierarchical multiple regression. Parents’ reports of their children’s emotion regulation predicted behavior problems as reported by teachers. Children’s own reports of their emotional bonds with parents were somewhat less predictive of emotion regulation and behavior problems. Implications for truancy intervention programs for high-risk elementary school children include more focused attention to the importance of children’s developing capacities for emotion regulation and the child-parent bond.     

Stability of Religious Orientation and Academic Dishonesty

This study examines the probable influence of individual religiosity on academic cheating among a group of Seventh-day Adventist youth, grades 6 through 12. A multiple-regression analysis was used to determine the relationship between academic beliefs or behaviors and academic dishonesty. The following research questions were investigated: (1) Is there a relationship between students' religious experience or religious activities and academic honesty? (2) What religious variables influence academic honesty? and (3) What is the correlation between the stability of religious orientation and academic honesty? Although the final model proved to be statistically significant, the findings suggest no direct impact on academic honesty. The implications of this study and the influential factors are discussed.     

Definition of Financial Abuse: A Culture-Centered Construct among Korean Elders

One of the critical issues in addressing financial abuse in Korea is the absence of an appropriate definition voiced by the elderly. This study is designed to explore how Korean elders define financial abuse in given social and cultural contexts. Face-to-face, in-depth interviews were conducted with 124 elders, aged 60 to 79, residing in Korea. The results of qualitative data analysis using grounded theory revealed that a vast majorty of Korean elderly respondents defined financial abuse as lack of provision of financial support to elder parents, and a small portion of respondents defined it as financial exploitation by adult children. The definition of financial abuse reflects cultural beliefs based on filial piety about financial expectations within the parent–child relationship. Education on financial abuse for both elders and their adult children and establishment of income support programs are urgently needed efforts to increase the financial well-being of elderly Koreans.     

Testing Group Mean Differences of Latent Variables in Multilevel Data Using Multiple-Group Multilevel CFA and Multilevel MIMIC Modeling

Considering that group comparisons are common in social science, we examined two latent group mean testing methods when groups of interest were either at the between or within level of multilevel data: multiple-group multilevel confirmatory factor analysis (MG ML CFA) and multilevel multiple-indicators multiple-causes modeling (ML MIMIC). The performance of these methods were investigated through three Monte Carlo studies. In Studies 1 and 2, either factor variances or residual variances were manipulated to be heterogeneous between groups. In Study 3, which focused on within-level multiple-group analysis, six different model specifications were considered depending on how to model the intra-class group correlation (i.e., correlation between random effect factors for groups within cluster). The results of simulations generally supported the adequacy of MG ML CFA and ML MIMIC for multiple-group analysis with multilevel data. The two methods did not show any notable difference in the latent group mean testing across three studies. Finally, a demonstration with real data and guidelines in selecting an appropriate approach to multilevel multiple-group analysis are provided.     

Single and Multiple Ability Estimation in the SEM Framework: A Noninformative Bayesian Estimation Approach

Latent variable models with many categorical items and multiple latent constructs result in many dimensions of numerical integration, and the traditional frequentist estimation approach, such as maximum likelihood (ML), tends to fail due to model complexity. In such cases, Bayesian estimation with diffuse priors can be used as a viable alternative to ML estimation. This study compares the performance of Bayesian estimation with ML estimation in estimating single or multiple ability factors across 2 types of measurement models in the structural equation modeling framework: a multidimensional item response theory (MIRT) model and a multiple-indicator multiple-cause (MIMIC) model. A Monte Carlo simulation study demonstrates that Bayesian estimation with diffuse priors, under various conditions, produces results quite comparable with ML estimation in the single- and multilevel MIRT and MIMIC models. Additionally, an empirical example utilizing the Multistate Bar Examination is provided to compare the practical utility of the MIRT and MIMIC models. Structural relationships among the ability factors, covariates, and a binary outcome variable are investigated through the single- and multilevel measurement models. The article concludes with a summary of the relative advantages of Bayesian estimation over ML estimation in MIRT and MIMIC models and suggests strategies for implementing these methods.     

A clusterwise simultaneous component method for capturing within‐cluster differences in component variances and correlations

This paper presents a clusterwise simultaneous component analysis for tracing structural differences and similarities between data of different groups of subjects. This model partitions the groups into a number of clusters according to the covariance structure of the data of each group and performs a simultaneous component analysis with invariant pattern restrictions (SCA‐P) for each cluster. These restrictions imply that the model allows for between‐group differences in the variances and the correlations of the cluster‐specific components. As such, clusterwise SCA‐P is more flexible than the earlier proposed clusterwise SCA‐ECP model, which imposed equal average cross‐products constraints on the component scores of the groups that belong to the same cluster. Using clusterwise SCA‐P, a finer‐grained, yet parsimonious picture of the group differences and similarities can be obtained. An algorithm for fitting clusterwise SCA‐P solutions is presented and its performance is evaluated by means of a simulation study. The value of the model for empirical research is illustrated with data from psychiatric diagnosis research.     

Constraints on Arm Selection Processes When Reaching: Degrees of Freedom and Joint Amplitudes Interact to Influence Limb Selection

With an interest in identifying the variables that constrain arm choice when reaching, the authors had 11 right-handed participants perform free-choice and assigned-limb reaches at 9 object positions. The right arm was freely selected 100% of the time when reaching to positions at 30° and 40° into right hemispace. However, the left arm was freely selected to reach to positions at ?30° and ?40° in left hemispace 85% of the time. A comparison between free- and assigned-limb reaching kinematics revealed that free limb selection when reaching to the farthest positions was constrained by joint amplitude requirements and the time devoted to limb deceleration. Differences between free- and assigned-arm reaches were not evident when reaching to the midline and positions of ±10°, even though the right arm was freely selected most often for these positions. Different factors contribute to limb selection as a function of distance into a specific hemispace.     

The uncomfortable truth about wrongful life cases

Our ambivalent attitudes toward the notion of ‘a life worth living’ present a philosophical puzzle: Why are we of two minds about the birth of a severely disabled child? Is the child’s life worth living or not worth living? Between these two apparently incompatible evaluative judgments, which is true? If one judgment is true and the other false, what makes us continue to find both evaluations appealing? Indeed, how can we manage to hold these inconsistent judgments simultaneously at all? I critically examine two solutions to this puzzle: the hidden-indexical account and Velleman’s anti-realist account. I propose an alternative explanation which appeals to (a) state-given, as opposed to object-given, reasons for belief and (b) the distinction between belief and acceptance. I argue that (1) the fact that a severely disabled life is not worth living provides object-given reason to believe that that life is not worth living, but (2) after the birth of a severely disabled child, the psychological utility of positive evaluation gives us a state-given reason to believe that that child’s life is worth living, and a reason to accept that, in our relation with the child, her life is worth living. I conclude by drawing a practical lesson about wrongful life suits.