Use of Religious Resources in Psychotherapy from a Tradition-Sensitive Approach: Cases from Chinese in Malaysia

Pastoral Psychology - This paper highlights the integration of spiritual and religious approaches in psychotherapy using the three major religions (Taoism, Buddhism, and Christianity) of the...     

Cumulative Effects of Mothers’ Risk and Promotive Factors on Daughters’ Disruptive Behavior

Little is known about the ways in which the accumulation of maternal factors increases or reduces risk for girls' disruptive behavior during preadolescence. In the current study, maternal risk and promotive factors and the severity of girls' disruptive behavior were assessed annually among girls' ages 7-12 in an urban community sample (N?=?2043). Maternal risk and promotive factors were operative at different time points in girls' development. Maternal warmth explained variance in girls' disruptive behavior, even after controlling for maternal risk factors and relevant child and neighborhood factors. In addition, findings supported the cumulative hypothesis that the number of risk factors increased the chance on girls' disruptive behavior disorder (DBD), while the number of promotive factors decreased this probability. Daughters of mothers with a history of Conduct Disorder (CD) were exposed to more risk factors and fewer promotive factors compared to daughters of mothers without prior CD. The identification of malleable maternal factors that can serve as targets for intervention has important implications for intergenerational intervention. Cumulative effects show that the focus of prevention efforts should not be on single factors, but on multiple factors associated with girls' disruptive behavior.     

Patterns of Adolescents’ Beliefs About Fighting and Their Relation to Behavior and Risk Factors for Aggression

This study examined adolescents' patterns of beliefs about aggression, and how these patterns relate to aggressive and prosocial behavior, and to risk factors associated with aggression. A sample of 477 sixth graders from two urban schools and a school in a nearby county completed measures of beliefs, behavior, and individual, peer and parental factors associated with aggression. Teacher ratings of participants' behavior and emotion regulation were also obtained. The urban sample was 84% African American; the county school was in a rural fringe area with a student population that was 45% Caucasian and 40% African American. Latent class analysis of items on a beliefs measure supported hypotheses predicting three groups: (a) a Beliefs Against Fighting (BAGF) group that opposed the use of aggression (31% of the sample); (b) a Fighting is Sometimes Necessary (FSNEC) group that endorsed beliefs that fighting is sometimes necessary or inevitable (41%), and (c) a Beliefs Supporting Fighting (BSUPF) group that supported aggression across multiple contexts (28%). Differences across groups were found on race/ethnicity and family structure, but not on gender. Significant differences were also found such that the FSNEC group fell between levels of the BAGF and BSUPF groups on most measures. In contrast, the FSNEC and BAGF groups both differed from the BSUPF group, but not from each other on measures of empathy, perceived effectiveness of nonviolence and aggression, and parental messages supporting nonviolence. These differences suggest the need for tailoring prevention approaches for subgroups of adolescents who differ in their patterns of beliefs.     

Prediction of foot clearance parameters as a precursor to forecasting the risk of tripping and falling

Tripping and falling is a serious health problem for older citizens due to the high medical costs incurred and the high mortality rates precipitated mostly by hip fractures that do not heal well. Current falls prevention technology encompasses a broad range of interventions; both passive (e.g., safer environments, hip protectors) and active (e.g., sensor-based fall detectors) which attempt to reduce the effects of tripping and falling. However the majority of these interventions minimizes the impact of falls and do not directly reduce the risk of falling. This paper investigates the prediction of gait parameters related to foot-to-ground clearance height during the leg swing phase which have been physically associated with tripping and falling risk in the elderly. The objective is to predict parameters of foot trajectory several walking cycles in advance so that anticipated low foot clearance could be addressed early with more volitional countermeasures, e.g., slowing down or stopping. In this primer study, foot kinematics was recorded with a highly accurate motion capture system for 10 healthy adults (25-32 years) and 11 older adults (65-82 years) with a history of falls who each performed treadmill walking for at least 10 min. Vertical foot displacement during the swing phase has three characteristic inflection points and we used these peak values and their normalized time as the target prediction values. These target variables were paired with features extracted from the corresponding foot acceleration signal (obtained through double differentiation). A generalized regression neural network (GRNN) was used to independently predict the gait variables over a prediction horizon (number of gait cycles ahead) of 1-10 gait cycles. It was found that the GRNN attained 0.32-1.10 cm prediction errors in the peak variables and 2-8% errors in the prediction of normalized peak times, with slightly better accuracies in the healthy group compared to elderly fallers. Prediction accuracy decreased linearly (best fit) at a slow rate with increasing prediction horizon ranging from 0.03 to 0.11 cm per step for peak displacement variables and 0.34 × 10(-3) - 1.81 × 10(-3)% per step for normalized peak time variables. Further time series analysis of the target gait variable revealed high autocorrelations in the faller group indicating the presence of cyclic patterns in elderly walking strategies compared to almost random walking patterns in the healthy group. The results are promising because the technique can be extended to portable sensor-based devices which measure foot accelerations to predict the onset of risky foot clearance, thus leading to a more effective falls prevention technology.     

Grief and trauma intervention for children after disaster: exploring coping skills versus trauma narration

This study evaluated the differential effects of the Grief and Trauma Intervention (GTI) with coping skills and trauma narrative processing (CN) and coping skills only (C). Seventy African American children (6-12 years old) were randomly assigned to GTI-CN or GTI-C. Both treatments consisted of a manualized 11-session intervention and a parent meeting. Measures of trauma exposure, posttraumatic stress symptoms, depression, traumatic grief, global distress, social support, and parent reported behavioral problems were administered at pre, post, 3 and 12 months post intervention. In general, children in both treatment groups demonstrated significant improvements in distress related symptoms and social support, which, with the exception of externalizing symptoms for GTI-C, were maintained up to 12 months post intervention. Results suggest that building coping skills without the structured trauma narrative may be a viable intervention to achieve symptom relief in children experiencing trauma-related distress. However, it may be that highly distressed children experience more symptom relief with coping skills plus narrative processing than with coping skills alone. More research on the differential effects of coping skills and trauma narration on child distress and adaptive functioning outcomes is needed.     

Accuracy in parameter estimation for ANCOVA and ANOVA contrasts: sample size planning via narrow confidence intervals

Contrasts of means are often of interest because they describe the effect size among multiple treatments. High-quality inference of population effect sizes can be achieved through narrow confidence intervals (CIs). Given the close relation between CI width and sample size, we propose two methods to plan the sample size for an ANCOVA or ANOVA study, so that a sufficiently narrow CI for the population (standardized or unstandardized) contrast of interest will be obtained. The standard method plans the sample size so that the expected CI width is sufficiently small. Since CI width is a random variable, the expected width being sufficiently small does not guarantee that the width obtained in a particular study will be sufficiently small. An extended procedure ensures with some specified, high degree of assurance (e.g., 90% of the time) that the CI observed in a particular study will be sufficiently narrow. We also discuss the rationale and usefulness of two different ways to standardize an ANCOVA contrast, and compare three types of standardized contrast in the ANCOVA/ANOVA context. All of the methods we propose have been implemented in the freely available MBESS package in R so that they can be easily applied by researchers.     

The time course of argument reactivation revealed: using the visual world paradigm

Previous research has found that the single argument of unaccusative verbs (such as fall) is reactivated during sentence processing, but the argument of agentive verbs (such as jump) is not (Bever & Sanz, 1997; Friedmann, Taranto, Shapiro, & Swinney, 2008). An open question so far was whether this difference in processing is caused by a difference in thematic roles the verbs assign, or a difference in the underlying syntactic structure. In the present study we tease apart these two potential sources. In order to achieve this, we included a set of verbs (like sparkle) which are equal to unaccusative verbs in the thematic role they assign to their argument, but equal to agentive verbs in the syntactic status of their argument (henceforth mixed verbs). As a method we used the visual world paradigm as this enables us to measure processing of the sentences continuously. This method also allowed us to test another hypothesis, namely the hypothesis that not only the argument of unaccusative verbs is reactivated during processing, but also the argument of agentive verbs. This reactivation is expected as the result of integrating the verb and its argument into one representation. In our experiment, participants listened to sentences including one of the three types of verbs. While listening, they viewed a visual display in which one of four objects was strongly related to the argument of the verb (wood-saw). The gaze record showed that the eyes moved to the related object (saw) upon presentation of the argument (wood). More interestingly, the eyes moved back to the related object upon presentation of the verb (fell). We found that looks to the related object increase only late after verb offset for unaccusative verbs, replicating the findings of previous research. We also found a rise in looks to the related object in agentive verbs, but this rise took place much earlier, starting slightly after verb onset. Finally, we found that mixed verbs pattern in processing with agentive verbs. We conclude that the argument of the verb is always reactivated, independent of verb type. In addition, the timing of integration differs per verb type and depends on the syntactic status of the argument and not on the thematic role that is assigned to the argument.     

Verbal interference suppresses exact numerical representation

Language for number is an important case study of the relationship between language and cognition because the mechanisms of non-verbal numerical cognition are well-understood. When the Pirahã (an Amazonian hunter-gatherer tribe who have no exact number words) are tested in non-verbal numerical tasks, they are able to perform one-to-one matching tasks but make errors in more difficult tasks. Their pattern of errors suggests that they are using analog magnitude estimation, an evolutionarily- and developmentally-conserved mechanism for estimating quantities. Here we show that English-speaking participants rely on the same mechanisms when verbal number representations are unavailable due to verbal interference. Followup experiments demonstrate that the effects of verbal interference are primarily manifest during encoding of quantity information, and—using a new procedure for matching difficulty of interference tasks for individual participants—that the effects are restricted to verbal interference. These results are consistent with the hypothesis that number words are used online to encode, store, and manipulate numerical information. This linguistic strategy complements, rather than altering or replacing, non-verbal representations.