Action Type-Based Factorial Structure of Brief COPE among Hong Kong Chinese

Brief COPE (Carver in International journal of Behavioral Medicine, 4(1), 92–100, 1997) is a multidimensional scale that measures situational and dispositional coping responses. This study evaluated its factor structure and psychometric properties using two Hong Kong college samples (Sample 1; n = 204 & Sample 2; n = 221). Results of confirmatory factor analysis (CFA) indicated that an eleven-factor model, based on action goals (Skinner et al. in Psychological Bulletin, 129(2), 216, 2003), demonstrated a good fit across the two samples. The eleven-factor model fit the data better than five alternative models. We also validated a Traditional Chinese translation of the scale. Multiple-groups CFAs indicated partial scalar invariance across the English and Chinese versions in Hong Kong participants. Nonetheless, convergent validity was supported by the associations between the scores of some, but not all, of the dimensions and related psychological constructs, including psychological distress, optimism, and locus of control. Such associations might help differentiate conceptually distinct coping dimensions. Likewise, our results provided support for the reliability of some, but not all, of the subscale scores. In sum, our results support the multidimensionality of Brief COPE and the use of some of the measure’s factors and subscales. Moreover, Brief COPE and its translated version demonstrated acceptable psychometric properties in Hong Kong Chinese.     

Indigenous Psychotherapies and Religion: Moral Vision and Embodied Communities

Over the past century, the dominant model for addressing mental illness has been the treatment of individuals, largely by individual therapists who assume the availability of individual psychological resources. That form of therapy is a scarce commodity in capitalist societies, and social models of healing have been largely marginalized and forgotten. From the point of view of an indigenous psychology of religion, this essay (1) reports on local cultural and community models of healing that honor the common good, draw on local, communal narratives, and involve a given community in the process of healing. However, because it is not simply community in itself that is therapeutic, the authors argue (2) that healing cultures have communities that are guided by their moral vision and are committed to justice, moral integrity, and the sharing of resources. They draw on intergenerational studies that detail the effects in Inuit communities where a moral vision and a sense of community was present but then was eroded. Therapists whose interventions draw on the moral resources of the community may facilitate healing, as demonstrated by the use of allocentric imaging in more communal traditions. Finally, it is not simply communities with moral ideals that are therapeutic but (3) indigenous communities whose structures and whose role models embody their ethic that is critical for healing. The authors examine ecological communities in China committed to Confucian values and protection of the earth. The L’Arche communities begun in France by Jean Vanier and Alcoholics Anonymous groups around the world serve as examples of embodied moral communities.     

How to fit and interpret multilevel models using SPSS

Hierarchic or multilevel models are used to analyse data when cases belong to known groups and sample units are selected both from the individual level and from the group level. In this work, the multilevel models most commonly discussed in the statistic literature are described, explaining how to fit these models using the SPSS program (any version as of the 11 th ) and how to interpret the outcomes of the analysis. Five particular models are described, fitted, and interpreted: (1) one-way analysis of variance with random effects, (2) regression analysis with means-as-outcomes, (3) one-way analysis of covariance with random effects, (4) regression analysis with random coefficients, and (5) regression analysis with means- and slopes-as-outcomes. All models are explained, trying to make them understandable to researchers in health and behaviour sciences.     

Interaction in ANOVA: misconceptions

Although interaction in analysis of variance has an unequivocal theoretical meaning (and so it appears in the statistic literature), frequent misconceptions are found in empirical research, which, in many cases, lead to wrong conclusions. In this paper, 150 articles are reviewed: in 12.7% of them, no attention is paid to the interaction (either because it is not analysed or because it is analysed but not discussed); in 79.1%, interaction is studied through simple effects analysis; and only in 8.2% of the cases, interaction is correctly discussed. It could be that psychology researchers tend to analyse and interpret the interaction between factors incorrectly because the most widespread statistic packages (with SPSS in the lead) do not allow performing the comparisons needed to analyse a significant interaction in factorial designs with randomized groups. In order to contribute to eradicating this problem, we herein show how to design some of the linear comparisons that allow isolating the interaction effect, and we explain how to use SPSS to compute these comparisons.     

Personality,Meta-Mood Experience,Life Satisfaction,and Anxiety in Australian versus Singaporean Students

This study explores two issues concerning the relationships between personality, meta-mood experience, life satisfaction, and anxiety. First, it explored the incremental value of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to Experience in predicting the three components of meta-mood experience (that is, attention to feelings, emotional clarity, clarity of feelings and mood repair), after controlling for demographic variables across Australia and Singapore. Second, it explored the incremental value of the three meta-mood experience components in predicting life satisfaction and anxiety, after controlling for demographic variables and personality variables across the two countries. One hundred and eighty nine tertiary students from Australia and 243 tertiary students from Singapore participated in this study. First, hierarchical regression analyses for both samples suggested that Agreeableness and Neuroticism are the two most important personality predictors of meta-mood experience, emotional attention, and emotional repair. Second, hierarchical regression analyses for both samples suggested that emotional repair was a significant predictor for life satisfaction and anxiety, even after controlling for demographic variables and personality variables. These results have implications for therapeutic interventions with life satisfaction versus anxiety. Funding for this research is facilitated partially by a research grant from the National Institute of Education.     

HIV-1 protein gp120 rapidly impairs memory in chicks by interrupting the glutamate-glutamine cycle

Learning and memory impairments are frequently observed in patients suffering from AIDS Dementia Complex (ADC). These effects have been linked to the presence of gp120, an HIV viral coat glycoprotein. The present study investigated the possibility that gp120 prevents the uptake of extracellular glutamate by astrocytes, leading to an interruption of the glutamate-glutamine cycle and a subsequent impairment of memory. Ten microliters of 10nM gp120 was bilaterally injected into the region of the intermediate medial mesopallium of day-old chicks at various times before, or after, training using a single-trial passive avoidance task. Gp120 was found to significantly impair memory retention when injected 10-40 min after training. Memory impairments were evident within 5 min of gp120 administration and remained evident 24h later. Further, the amnestic effect of gp120 could be overcome with glutamine or with precursors of glutamate synthesis, but only weakly by glutamate. These results support the conclusion that the amnestic effect of gp120 is due to an impaired uptake of glutamate by astrocytes and a subsequent interruption of glutamine supply to neurones. The data indicate that the glutamate-glutamine cycle may be a useful therapeutic target in the treatment of ADC.     

汉字认知倒置效应的行为学研究

通过比较被试对相同刺激在不同诱导条件和不同特征变化条件下的认知的异同,探索倒置效应对认知的影响及机理.结果发现:当呈现的刺激被诱导为汉字认知时,仅在结构变化条件下出现倒置效应;而同样的刺激被诱导为字母组合被加工时,在结构和细节变化时均不会出现倒置效应.研究结果揭示了激活诱导效应对认知的重要影响,支持了专家假说对倒置效应的解释,进一步说明了结构和整体加工对专家系统的重要意义.     

ERPs studies of cognitive processing during sleep

In the last few decades, several works on cognitive processing during sleep have emerged. The study of cognitive processing with event related potentials (ERPs) during sleep is a topic of great interest, since ERPs allow the study of stimulation with passive paradigms (without conscious response or behavioural response), opening multiple research possibilities during different sleep phases. We review ERPs modulated by cognitive processes during sleep: N1, Mismatch Negativity (MMN), P2, P3, N400-like, N300-N550, among others. The review shows that there are different cognitive discriminations during sleep related to the frequency, intensity, duration, saliency, novelty, proportion of appearance, meaning, and even sentential integration of stimuli. The fascinating results of cognitive processing during sleep imply serious challenges for cognitive models. The studies of ERPs, together with techniques of neuroimaging, have demonstrated the existence of cognitive processing during sleep. A fundamental question to be considered is if these cognitive phenomena are similar to processing that occurs during wakefulness. Based on this question we discussed the existence of possible mechanisms associated with sleep, as well as the specific cognitive and neurophysiologic differences of wakefulness and sleep. Much knowledge is still required to even understand the conjunction of dramatic changes in cerebral dynamics and the occurrence of cognitive processes. We propose some insights based on ERPs research for further construction of theoretical models for integrating both cognitive processing and specific brain sleep dynamics.     

Multimethod Assessment of Psychopathology Among DSM-IV Subtypes of Children With Attention-Deficit/Hyperactivity Disorder: Self-, Parent, and Teacher Reports

Using data based on self-, parent, and teacher reports, we assessed various aspects of psychopathology in a large sample of control children and those with ADHD. Confirmatory factor analysis was employed to extract response bias from latent constructs of aggression, anxiety, attention problems, depression, conduct disorder, and hyperactivity. These latent constructs were then entered into logistic regression equations to predict membership in control versus ADHD groups, and to discriminate between ADHD subtypes. Results of the regression equations showed that higher levels of attention problems and aggression were the best predictors of membership in the ADHD group relative to controls. Logistic regression also indicated that a higher degree of aggression was the only significant predictor of membership in the ADHD-Combined group compared to the ADHD-Inattentive group. However, when comorbid diagnoses of Oppositional Defiant Disorder and Conduct Disorder were controlled for in the logistic regression, greater hyperactivity rather than aggression was the sole variable with which to distinguish the ADHD-Combined from the ADHD-Inattentive subtype. Results are discussed in the context of the DSM-IV ADHD nosology and the role of instrument and source bias in the diagnosis of ADHD.     

Self-Interest, Economic Beliefs, and Political Party Preference in New Zealand

This study explored the associations among income level, economic beliefs, and political party preference in terms of self-interest and ideological theories of party preference. Results from a survey of 487 New Zealand voters showed that the income levels and economic beliefs of supporters of the four major parties were organized along a single dimension: ACT supporters had the highest income and strongest neoliberal economic beliefs, followed closely by National supporters, whereas Alliance supporters had the lowest income and strongest welfare-state economic beliefs, followed by Labour supporters. However, the prediction of party preference from income and economic beliefs showed a different pattern: Income significantly predicted support for ACT, National, and Alliance; economic beliefs had the strongest influence on National and Labour support; and economic beliefs interacted with income to influence ACT and National support, but not Labour and Alliance support. The results suggest that voters who have gained or lost the most from the implementation of neoliberal policies—in this case, those with the highest and lowest incomes (i.e., ACT and Alliance supporters), respectively—form political party preference mainly from economic self-interest, whereas middle-income voters (i.e., National and Labour supporters) form party preference from ideological congruence. Moreover, higher status individuals may be more likely to use ideology to express self-interested motivation.