Neuroprotection and stroke rehabilitation: modulation and enhancement of recovery

Recent advances in research are modifying our view of recovery after nervous system damage. New findings are changing previously held concepts and providing promising avenues for treatment of patients after stroke. This review discusses mechanisms of neuronal injury after brain ischemia and the attempts to study neuroprotection options based on such mechanisms. It also considers measures available at present to improve outcome after stroke and presents new areas of research, particularly stimulation techniques, neurogenesis and trophic factors to enhance recovery. In order to improve outcomes, medications that may be detrimental to recovery should be avoided, while symptomatic therapy of problems such as depression, pain syndromes and spasticity may contribute to better results. Continued surveillance and early treatment of complications associated with acute stroke, along with supportive care remain the mainstay of treatment for stroke patients in the recovery phase. Present research on limiting brain damage and improving recovery and plasticity enhance the prospects for better clinical treatments to improve recovery after stroke.     

The Question of Higher Education for the Blind

Building on the theory of reasoned action (I. Ajzen & M. Fishbein, 1973, 1980; M. Fishbein & I. Ajzen, 1975) and expectancy theory, the authors examined the mediating role of alcohol expectancies in adolescent drinking behaviors by testing whether alcohol expectancy outcomes and valuations (the extent to which these outcomes are perceived as good or bad) mediate the association between peer influences and lifetime alcohol use. Early adolescents (N = 904) from 2 public middle schools in western Michigan completed a battery of questionnaires. Overall, results showed that alcohol expectancies and valuations partially mediated the relations between peer influences (peer use and peer approval) and lifetime alcohol use. The findings suggest that associating with peers who are perceived as using alcohol and approving of drinking may influence adolescents’ alcohol expectancies. The authors briefly discuss future research directions and implications for prevention.     

A New Measure of Life Satisfaction: The Riverside Life Satisfaction Scale

The Satisfaction With Life Scale (Diener, Emmons, Larsen, & Griffin, 1985) has been the dominant measure of life satisfaction since its creation more than 30 years ago. We sought to develop an improved measure that includes indirect indicators of life satisfaction (e.g., wishing to change one's life) to increase the bandwidth of the measure and account for acquiescence bias. In 3 studies, we developed a 6-item measure of life satisfaction, the Riverside Life Satisfaction Scale, and obtained reliability and validity evidence. Importantly, the Riverside Life Satisfaction Scale retained the high internal consistency, test–retest stability, and unidimensionality of the Satisfaction With Life Scale. In addition, the Riverside Life Satisfaction Scale correlated with other well-being measures, Big Five personality traits, values, and demographic information in expected ways. Although the Riverside Life Satisfaction Scale correlated highly with the Satisfaction With Life Scale, we believe it improves the Satisfaction With Life Scale by appropriately increasing construct breadth and reducing the potential for bias.     

Job Performance as Multivariate Dynamic Criteria: Experience Sampling and Multiway Component Analysis

Questions about the dynamic processes that drive behavior at work have been the focus of increasing attention in recent years. Models describing behavior at work and research on momentary behavior indicate that substantial variation exists within individuals. This article examines the rationale behind this body of work and explores a method of analyzing momentary work behavior using experience sampling methods. The article also examines a previously unused set of methods for analyzing data produced by experience sampling. These methods are known collectively as multiway component analysis. Two archetypal techniques of multimode factor analysis, the Parallel factor analysis and the Tucker3 models, are used to analyze data from Miner, Glomb, and Hulin's (2010) experience sampling study of work behavior. The efficacy of these techniques for analyzing experience sampling data is discussed as are the substantive multimode component models obtained.     

Do parents’ collectivistic tendency and attitudes toward filial piety facilitate autonomous motivation among young Chinese adolescents?

The present study investigates the association of Chinese parents’ collectivistic tendency, attitudes towards filial piety (i.e., children respecting and caring for parents (RCP) and children protecting and upholding honor for parents (PUHP)), parenting behaviors (i.e., autonomy granting (AG) and psychological control (PC)) with young adolescents’ autonomous motivation. Participants were 321 Chinese parents and their eighth-grade children who independently completed a set of surveys. Results showed that parents' collectivistic tendency indirectly and positively contributes to children's autonomous motivation through the mediation of AG and PC, respectively. Parents' attitude toward RCP has an indirect and positive contribution to children's autonomy motivation through the mediation of AG while parents' attitude toward PUHP shows an indirect and negative contribution to children's autonomous motivation through the mediation of PC. The findings suggest that different cultural emphases in collectivist-based societies play different roles in adolescents’ autonomy development. The implications of the findings are discussed.     

Validity of a short form of the WISC-III in children with traumatic head injury

The concurrent, construct, and criterion validities of Donders' (in press) short form of the Wechsler Intelligence Scale for Children - Third Edition (WISC-III) were evaluated in a sample of 171 children with traumatic head injury (THI). Correlations between the short-form deviation quotients and their full-length counterparts were statistically significant. Confirmatory factor analysis revealed that a four-factor model (composed of Verbal Comprehension, Perceptual Organization, Freedom from Distractibility, and Processing Speed) fit the data relatively well. The short-form deviation quotients also had statistically significant correlations with length of coma. It is concluded that this short form is an accurate and valid alternative to the full-length WISC-III in children with THI.     

Measuring resilience among homeless youth: psychometric assessment of the Connor-Davidson Resilience Scale in Ghana

This study validated the psychometric structure of the Connor-Davidson Resilience Scale (CD-RISC; Connor & Davidson, 2003 Connor, K. M., & Davidson, J. R. T. (2003). Development of a New Resilience Scale: The Connor–Davidson Resilience Scale (CD-RISC). Depression and Anxiety, 18, 76–82. doi: 10.1002/da.10113[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) in a sample of 227 homeless youth in Ghana. Principal Component Analysis (PCA) with Varimax rotation was used to extract factor structures. About 62% of the total variance was accounted for by a three-factor structure: personal competence and tenacity, optimism and achievement motivation. Evidence of the external validity of scales was supported by the positive correlation between resilience and perceived social support scores. The CD-RISC appears to yield scores reliable for assessing resilience among homeless youth in a developing world context.     

General and Specific Question Sequence Effects in Satisfaction Surveys: Integrating Directional and Correlational Effects

Researchers investigate relationships between well-being variables and the antecedents to well-being by examining statistical results from survey data. A common measurement approach in survey designs is to include measures of more specific aspects (i.e., facets) and more global assessments of well-being in the same survey. Research shows, however, that the sequence of specific and general measures within the survey affects the magnitude of relationships between specific and general measures. In the current study, we extend such general-specific sequence research by offering an alternative explanation for the occurrence of such sequence effects. Specifically, we propose that having the specific measure before the more general one can shift the mean-level of the specific measure toward the extremes, thereby yielding restricted variance and, ultimately, attenuated correlations between the two measures. We test our proposal on two separate samples examining job-related well-being. Our findings show that the general-specific measure relationship is stronger and the mean-level of satisfaction is lower when the general measure is read first. Our findings suggest important theoretical implications for the study and measurement of well-being. Most importantly, our study suggests that placing general measures before specific measures could avoid sequence-related bias.