Maternal Depressive Symptoms and Behavior Problems in Preschool Children from Low-Income Families: Comparison of Reports from Mothers and Teachers

This study compared behavior problems of children of mothers with elevated depressive symptoms and children of mothers with non-elevated depressive symptoms, using the same measure for mothers and teachers. Participants included 914 mother–teacher dyads of low-income children (M age of child = 62.9 months, SD = 4.0) who participated in the Early Head Start Research and Evaluation Project. Mothers completed a shortened version of CES-D to evaluate their own depressive symptoms. Teachers and mothers completed the Family and Child Experiences Survey Interviews (FACES) to assess children’s behavior problems. The results showed that children of mothers with elevated depressive symptoms-higher than the cut-off score for possible depression- showed higher aggressive and hyperactive behaviors than did children of mothers with non-elevated depressive symptoms according to the mothers’ rating; however, teachers rated the children no differently. Both mothers and teachers reported higher internalizing behaviors in children of mothers with elevated depressive symptoms than did those of mothers with non-elevated depressive symptoms. Maternal depressive symptoms moderated the relations between informants (mothers and teachers) and externalizing behaviours (aggressive and hyperactive) of children. These findings underscore the need for research in different settings such as at home and at school, to measure children’s behavior problems in order to gain a more comprehensive perspective on child functioning. Results suggest an emphasis on intervention or prevention programs targeting internalizing behavior problems, specifically for children of depressed mothers in low-income families.     

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.     

Cognition- and Affect-Based Trust and Feedback-Seeking Behavior: The Roles of Value,Cost, and Goal Orientations

We examined how subordinates’ cognition- and affect-based trust in supervisors influences their feedback-seeking behavior (FSB) by considering the different cost/value perception of FSB and goal orientation (i.e., learning and performance goal orientations). Using data from 194 supervisor-subordinate dyads in South Korea, we conducted multiple regression analyses to test our hypotheses. The results showed that, whereas subordinates’ cognition-based trust in supervisors positively influenced their FSB through increasing the perceived value of feedback received from supervisors, their affect-based trust in supervisors positively influenced their FSB through decreasing the perceived value of FSB. Additionally, we found that, when subordinates had high levels of learning goal orientation, the increasing influence of cognition-based trust on the value of feedback was stronger; in contrast, when subordinates had low levels of performance goal orientation, the decreasing influence of affect-based trust on the cost of FSB was stronger. The theoretical and practical implications, limitations, and suggestions for future research were discussed.     

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 Microanalytic Case Study of the Utilization of ‘Solution-Focused Problem Talk’ in Solution-Focused Brief Therapy

Abstract

Solution-focused therapy (SFBT) is a popular therapeutic approach among family therapists. However, disputes about SFBT still arise, especially on problems. This study examines the function of problem talk in SFBT by using a microanalytic case study method. As a result, three categories were found: Eliciting, clarifying, and acknowledging problems. The problem talks initiated by the SF therapist showed a pattern associated with the solution talk and served as preliminary steps to be connected to the following solution talks. The results indicate that solution building is constructed not only through solution talk, but also through ‘solution-focused problem talk.’     

Development of a Chinese Version of the Suicide Intent Scale

This study established the psychometric properties of the Chinese version of the Suicide Intent Scale (SIS) in a clinic‐ and community‐based sample of 36 patients and 592 respondents, respectively. Results showed that the Chinese SIS demonstrated good inter‐rater and test‐retest reliability. Factor analysis generated three factors (Precautions, Planning, and Seriousness) explaining 92.9% of the total variance with high internal consistency. It was moderately correlated with depressive symptoms. Results suggest that the Chinese SIS is a reliable and valid instrument for use in assessing the extent of suicidal intention among subjects with deliberate self‐harm in ethnic Chinese populations.