The Development and Process Evaluation of PEER: A Camp-based Programme for Adolescents Impacted by Cancer

Journal of Child and Family Studies - Adolescents impacted by their own or a relative’s cancer diagnosis experience significant psychosocial needs. Residential programmes provide...     

Differences in mathematical reasoning between typically achieving and gifted children

Mathematical giftedness refers to mastery in a specific mathematical domain at an earlier than expected age. The present study examined which cognitive processes accounted for differences in mathematical reasoning between gifted children (MRG) and their typically achieving peers (TA). Naming speed, phonological awareness, short-term memory, executive functioning, and working memory were examined in 51 children aged approximately 7 years. A series of stepwise regression models, using a contrast variable to capture differences in mathematical reasoning between MRG and TA children, were created to examine which cognitive domains accounted for differences in mathematical reasoning. Short-term memory (r²?=?.08) and visual-spatial working memory (r²?=?.39) emerged as the only cognitive predictors within a model that included gender, age, and fluid intelligence. This model captured all of the variance distinguishing mathematics reasoning between MRG and TA children, explaining an overall contribution of 70% of the variance in mathematical reasoning.     

The structure of anxiety symptoms among preschoolers.

This study examined whether anxiety symptoms in preschoolers reflect subtypes of anxiety consistent with current diagnostic classification systems, or should be better regarded as representing a single dimension. Parents of a large community sample of preschoolers aged 2.5 to 6.5 years rated the frequency with which their children experienced a wide range of anxiety problems. Exploratory factor analysis indicated four or five factors and it was unclear whether separation anxiety and generalized anxiety represented discrete factors. Results of confirmatory factor analyses indicated a superior fit for a five-correlated-factor model, reflecting areas of social phobia, separation anxiety, generalized anxiety, obsessive-compulsive disorder and fears of physical injury, broadly consistent with DSM-IV diagnostic categories. A high level of covariation was found between factors, which could be explained by a single, higher order model, in which first order factors of anxiety subtypes loaded upon a factor of anxiety in general. No significant differences were found in prevalence of anxiety symptoms across genders. Symptoms of PTSD in this sample were rare.     

Examining the core: Relations among reading curricula, poverty, and first through third grade reading achievement

Policy changes at the federal and state level are endeavoring to improve student achievement at schools serving children from lower-SES homes. One important strategy is the focus on using evidence-based core reading curricula to provide a consistent framework for instruction across schools. However, rarely have these curricula undergone rigorous comparative testing. Therefore, the purpose of this study was to compare the effects of six core reading curricula on oral reading fluency growth, while appraising whether these effects differ by grade level and for children living in lower socioeconomic (SES) households. Over 30,000 students in first through third grade Florida Reading First classrooms comprise this academically and economically diverse cross-sectional. Hierarchical Linear Modeling was used to model latent growth curves for students' reading fluency scores over the school year. Growth curves revealed differences across curricula as well as between students of lower and higher SES, suggesting that reading fluency growth trajectories for curricula varied depending on student SES and grade level. Findings indicate that while there are similarities among curricula, they sometimes differ in their ability to promote reading skill growth. Differences by grade level and SES were also detected. However, many of these differences were small. Implications for the use of curriculum as a conduit for improving reading instruction are discussed.     

Can Virtual Reality Increase the Realism of Role Plays Used to Teach College Women Sexual Coercion and Rape-Resistance Skills?

The present study evaluated whether virtual reality (VR) can enhance the realism of role plays designed to help college women resist sexual attacks. Sixty-two female undergraduate students were randomly assigned to either the Role Play (RP) or Virtual Role Play (VRP) conditions, which were differentiated only by the use of VR technology in the VRP condition. A multimethod assessment strategy was used to evaluate the effects of VR on the experienced realism of sexually threatening role plays. Realism was assessed by participant self-reports of negative affect and perceptions of realism, direct observation of participants' verbal displays of negative affect during the role plays, and measurements of participant heart rate during the role plays. Results indicated that VR can indeed heighten the realism of sexually threatening role plays. Discussion focuses on issues regarding the use of VR-enhanced role plays for helping college women resist sexual attacks.     

Lexical processing during saccades in text comprehension

We asked whether people process words during saccades when reading sentences. Irwin (1998) demonstrated that such processing occurs when words are presented in isolation. In our experiment, participants read part of a sentence ending in a high- or low-frequency target word and then made a long (40°) or short (10°) saccade to the rest of the sentence. We found a frequency effect on the target word and the first word after the saccade, but the effect was greater for short than for long saccades. Readers therefore performed more lexical processing during long saccades than during short ones. Hence, lexical processing takes place during saccades in text comprehension.     

Determinants of following headway in congested traffic

This paper reports on results of a study undertaken in the UK aimed at investigating factors affecting the car following process. An understanding of the factors affecting this complex decision making process is essential to a wide range of theoretical issues including driver workload, capacity and the modeling of freeway flow, as well as practical applications such as the design of in-vehicle driver aids and assistance systems, many of which have direct relevance to increasing driver safety. The study used an instrumented vehicle to collect time dependent following data for a group of test drivers. Data was collected on two differing types of high speed road, using six primary subjects who drove a test vehicle, supplemented by data on 123 drivers that were observed following the test vehicle. Examination was made of how the time headway chosen by a driver is influenced by a range of situational variables commonly believed to effect behavior, with four main findings. Firstly, headway was found to change according to the type of vehicle being followed (i.e. subjects followed closer to trucks than to cars), secondly, little variation was found with changes in overall traffic flow, thirdly, little correlation was found with road type, and lastly a distinct day-to-day variation in individual behavior was observed.     

Moving Toward Evidence-Based Human Participant Protection

There is near universal recognition that human participant protection is both morally and practically essential for all forms of research involving humans. Yet most of the discourse around human participant protection has focussed on norms—rules, regulations and governance arrangements—rather than on the actual effectiveness of these norms in achieving their ends—protecting participants from undue risk and ensuring respectful treatment as well as advancing the generation of useful knowledge. In recent years there has been increasing advocacy for evidence-based human participant protection that would be grounded on the careful investigation of the effects of research on human participants. We offer an analysis of evidence-based protection and then focus on Canadian examples of research on evidence-based protection. We consider the prospects for such research being put into practice in Canada. Finally we connect our remarks to the theme of “the changing landscape of human participant protection.”     

Values and adolescents' self-esteem: The role of value content and congruence with classmates

The study examined the relations between adolescents’ self-esteem and two aspects of values: content and congruence with classmates. Using a large sample of Israeli adolescents (N = 1,683; M_age = 14.36, SD = 2.24, range = 11–18, 54.31% females), we found that self-esteem related negatively to self-enhancement values and positively to conservation values using zero order correlations. Multilevel polynomial regressions, controlling for demographic differences, found significant quadratic associations of self-esteem with self-enhancement, self-transcendence, openness-to-change, and conservation values. Furthermore, using Response Surface Analyses, it was found that adolescents who were congruent with their classmates’ self-enhancement and self-transcendence values showed the highest levels of self-esteem. The findings point to the importance of social context for the relations between values and self-esteem among adolescents.     

Reassessing the Role of Anxiety in Vote Choice

Much recent political psychology scholarship has examined the role of anxiety in vote choice. This work generally argues that anxiety affects vote choice indirectly by causing citizens to more thoroughly search for and process political information. This indirect effect of anxiety leads citizens to rely less on heuristics, such as party, and more on substantive information, such as policy positions. The most prominent example of this scholarship is the Affective Intelligence (AI) theory of emotions. In this paper, we use cross-sectional and panel survey data to test AI against two simpler alternatives: (1) that emotions directly influence candidate evaluations and (2) that candidate evaluations directly influence emotions. We first show that these simpler alternatives can produce the complex, cross-sectional interactions that provide the principal support for AI. Then, using panel data to better assess causal direction, we find little support for AI, some evidence that emotions directly influence candidate evaluations, and strong evidence that candidate evaluations directly influence emotions. Scholars, we conclude, should be hesitant to abandon these simpler explanations in favor of AI.