Search

Cyberbullying among school-aged children has received increased attention in recent literature. However, no empirical evidence currently exists on whether existing school-based antibullying programs are effective in targeting the unique aspects of cyberbullying. To address this important gap, the present study investigates the unique effects of the KiVa Antibullying Program on the frequency of cyberbullying and cybervictimization among elementary and middle school youth. Using data from a group randomized controlled trial, multilevel ordinal regression analyses were used to examine differences in the frequencies of cyberbullying and cybervictimization between intervention (N = 9,914) and control students (N = 8,498). The effects of age and gender on frequencies of cyber behaviors were also assessed across conditions. Results revealed a significant intervention effect on the frequency of cybervictimization; KiVa students reported lower frequencies of cybervictimization at posttest than students in a control condition. The effect of condition on the perpetration of cyberbullying was moderated by age. When student age was below the sample mean, KiVa students reported lower frequencies of cyberbullying than students in the control condition. We also found evidence of classroom level variation in cyberbullying and cybervictimization, suggesting cyberbullying is in part a classroom-level phenomenon. KiVa appears to be an efficacious program to address cyber forms of bullying and victimization. We discuss several unique aspects of KiVa that may account for the significant intervention effects. Results suggest that KiVa is an intervention option for schools concerned with reducing cyberbullying behavior and its deleterious effects on children's adjustment. [ABSTRACT FROM PUBLISHER]

Salivary cortisol is often used as an index of physiological and psychological stress in exercise science and psychoneuroendocrine research. A primary concern when designing research studies examining cortisol stems from the high cost of analysis. Planned missing data designs involve intentionally omitting a random subset of observations from data collection, reducing both the cost of data collection and participant burden. These designs have the potential to result in more efficient, cost-effective analyses with minimal power loss. Using salivary cortisol data from a previous study (Hogue, Fry, Fry, & Pressman, 2013), this article examines statistical power and estimated costs of six different planned missing data designs using growth curve modeling. Results indicate that using a planned missing data design would have provided the same results at a lower cost relative to the traditional, complete data analysis of salivary cortisol. [ABSTRACT FROM AUTHOR]

The negative consequences of peer victimization on psychosocial adjustment are well documented. The consequences, however, may depend on who the bullies are. In this study, we examined the consequences of same- versus other-sex victimization. The sample consisted of 4,941 Finnish adolescents (ages 14–15; 47.7% boys). We used structural equation modeling to examine both concurrent and longitudinal associations of same- and other-sex victimization with depression, negative perception of peers, and social self-esteem. Both same- and other-sex victimization were related to psychosocial adjustment. Concurrently, the victimization experiences with same-sex peers in particular were associated with generalized cognitions about peers, whereas being bullied by other-sex peers was related to adolescents’ social self-esteem more strongly than victimization by same-sex peers. The longitudinal associations, in turn, showed that only being bullied by boys had carry-over effects on girls’ adjustment. Other-sex victimization can have serious consequences especially on girls’ psychosocial adjustment. [Supplementary material is available for this article. Go to the publisher's online edition of theJournal of Clinical Child & Adolescent Psychologyfor the following supplemental resource: Complementary information on model fit indices and the nested model chi-square difference tests.] [ABSTRACT FROM AUTHOR]

Given the potential benefits of understanding how climate may influence individuals' motivational outcomes, there exists a need for instrumentation measuring exercise setting climates. The purpose of this study was to validate further the psychometric properties of the Perceived Motivational Climate in Exercise Questionnaire (Huddleston, Fry & Brown, 2012), developed to assess motivational climates in exercise settings. Current members of a university fitness center (N = 779,Mage = 20.33,SD = 3.31) were asked to complete a survey that included their perceptions of the task- and ego-involving climate, caring climate, and positive and negative mood. Using confirmatory factor analysis, the factor structure of the Perceived Motivational Climate in Exercise Questionnaire was established. In addition, both the caring climate and positive and negative mood states were examined to add to the ongoing construct validation of the instrument. Results revealed support for a 27-item Perceived Motivational Climate in Exercise Questionnaire. Implications for the need for the Perceived Motivational Climate in Exercise Questionnaire in exercise settings are discussed. [ABSTRACT FROM PUBLISHER]

Data collection can be the most time- and cost-intensive part of developmental research. This article describes some long-proposed but little-used research designs that have the potential to maximize data quality (reliability and validity) while minimizing research cost. In planned missing data designs, missing data are used strategically to improve the validity of data collection in one of two ways. Multiform designs allow one to increase the number of measures assessed on each participant without increasing each participant's burden. Two-method measurement designs allow one to reap the benefits of a cost-intensive gold-standard measure, using a larger sample size made possible by a rougher, cheaper measure. We explain each method using examples relevant to cognitive development research. With the use of analysis methods that produce unbiased results, planned missing data designs are an efficient way to manage cost, improve data quality, and reduce participant fatigue and practice effects. [ABSTRACT FROM PUBLISHER]

We examined longitudinal changes in young adolescents’ ( N =368) action-control beliefs, coping behaviors, and adjustment (i.e., positive and negative affect, depression, aggression) across the transition from elementary school to middle school. Results indicated greater inter-individual instability in adjustment during this transition than during the previous school year. Using ordinary least-squares (OLS) growth models to extract intra-individual change scores for each variable (i.e., slopes and intercepts), we conducted a series of stepwise regressions to determine which features of control beliefs and coping behaviors best predicted changes in adjustment across the transition to middle school. We found that negative coping behaviors (i.e., antisocial coping) consistently predicted negative changes in the adjustment variables (e.g., greater depression, more aggression), whereas positive beliefs and behaviors did not consistently predict changes in the adjustment variables. [ABSTRACT FROM AUTHOR]