Aaron J. Boulton

The choice to text and drive in younger drivers: Behavior may shape attitude

Following a previous study that reported a large number of young adult drivers text and drive, the current study investigated this behavior by looking at patterns of use and driver assessment of the risk of the behavior. The data from the current study converge with and extended the previous work showing 70% of the 348 young adult drivers surveyed report initiating texts while driving while higher numbers reply to texts (81%) and read texts (92%) while driving. Additional drivers also report doing these behaviors, but only while stopped in traffic, showing only 2% never text and drive under any circumstances. The drivers indicated that they perceived these behaviors to be very risky and riskier than talking on a cell phone while driving, but perception of risk was a very weak predictor of behavior (for initiating texts) or had no effect on texting (for replying or reading texts while driving). In addition, a factor analysis of the perception of road conditions while texting revealed that making the choice to engage in texting (initiating) led drivers to perceive road conditions as being safer than if they replied to a text or read a text, suggesting that choosing to engage in the behavior itself changes attitudes toward risk.

The Impact of the Self-Determined Learning Model of Instruction on Student Self-Determination

Promoting self-determination has become a best practice in special education. There remains, however, a paucity of causal evidence for interventions to promote self-determination. This article presents the results of a group-randomized, modified equivalent control group design study of the efficacy of the Self-Determined Learning Model of Instruction (SDLMI, Wehmeyer, Palmer, Agran, Mithaug, & Martin, 2000) to promote self-determination. The authors used data on self-determination using multiple measures collected with 312 high school students with cognitive disabilities in both a control and a treatment group to examine the relationship between the SDLMI and self-determination. After determining strong measurement invariance for each latent construct, they found significant differences in latent means across measurement occasions and differential effects attributable to the SDLMI. This was true across disability category, though there was variance across disability populations.

Effects of the KiVa Anti-bullying Program on Adolescents’ Depression, Anxiety, and Perception of Peers

The present study investigated the effects of the KiVa antibullying program on students’ anxiety, depression, and perception of peers in Grades 4–6. Furthermore, it was investigated whether reductions in peer-reported victimization predicted changes in these outcome variables. The study participants included 7,741 students from 78 schools who were randomly assigned to either intervention or control condition, and the program effects were tested with structural equation modeling. A cross-lagged panel model suggested that the KiVa program is effective for reducing students’ internalizing problems and improving their peer-group perceptions. Finally, changes in anxiety, depression, and positive peer perceptions were found to be predicted by reductions in victimization. Implications of the findings and future directions for research are discussed.

Effects of the KiVa Antibullying Program on Cyberbullying and Cybervictimization Frequency Among Finnish Youth

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 childrens adjustment.

Individual and Contextual Predictors of Cyberbullying: The Influence of Children's Provictim Attitudes and Teachers' Ability to Intervene.

Electronic social communication has provided a new context for children to bully and harass their peers and it is clear that cyberbullying is a growing public health concern in the US and abroad. The present study examined individual and contextual predictors of cyberbullying in a sample of 16, 634 students in grades 3–5 and 7–8. Data were obtained from a large cluster-randomized trial of the KiVa antibullying program that occurred in Finland between 2007 and 2009. Students completed measures at pre-intervention assessing provictim attitudes (defined as children’s beliefs that bullying is unacceptable, victims are acceptable, and defending victims is valued), perceptions of teachers’ ability to intervene in bullying, and cyberbullying behavior. Students with higher scores on provictim attitudes reported lower frequencies of cyberbullying. This relationship was true for individual provictim attitudes as well as the collective attitudes of students within classrooms. Teachers’ ability to intervene assessed at the classroom level was a unique, positive predictor of cyberbullying. Classrooms in which students collectively considered their teacher as capable of intervening to stop bullying had higher mean levels of cyberbullying frequency. Our findings suggest that cyberbullying and other indirect or covert forms of bullying may be more prevalent in classrooms where students collectively perceive their teacher’s ability to intervene in bullying as high. We found no evidence that individual or contextual effects were conditional on age or gender. Implications for research and practice are discussed.

The KiVa antibullying curriculum and outcome: does fidelity matter?

Research on school-based prevention suggests that the success of prevention programs depends on whether they are implemented as intended. In antibullying program evaluations, however, limited attention has been paid to implementation fidelity. The present study fills in this gap by examining the link between the implementation of the KiVa antibullying program and outcome. With a large sample of 7413 students (7-12years) from 417 classrooms within 76 elementary schools, we tested whether the degree of implementation of the student lessons in the KiVa curriculum was related to the effectiveness of the program in reducing bullying problems in classrooms. Results of multilevel structural equation modeling revealed that after nine months of implementation, lesson adherence as well as lesson preparation time (but not duration of lessons) were associated with reductions in victimization at the classroom level. No statistically significant effects, however, were found for classroom-level bullying. The different outcomes for victimization and bullying as well as the importance of documenting program fidelity are discussed.

Transitions between subclasses of bullying and victimization when entering middle school

We examined the effects of depressive symptoms, antisocial attitudes, and perspective-taking empathy on patterns of bullying and victimization during the transition from late elementary (4th grade to 5th grade) to middle school (6th grade) among 1,077 students who participated in the Youth Matters (YM) bullying prevention trial. Latent transition analysis was used to establish classes of bullying, victimization, bully-victimization, and uninvolvement. The intervention had a positive impact on children as they moved from elementary to middle school. More students in the YM group transitioned from the involved statuses to the uninvolved status than students in the control group during the move to middle school. Elementary school bullies with higher levels of depressive symptoms were less likely than other students to move to an uninvolved status in the first year of middle school. Students who held greater antisocial attitudes were more likely to be a member of the bully-victim status than the uninvolved status during the move to middle school. Perspective-taking empathy, however, was not a significant predictor of status change during the transition to middle school. Implications for school-based prevention programs during the move to middle school are noted.

Classification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome by Types of Fatigue

Persons with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) often complain of fatigue states (eg, postexertional malaise, brain fog) that are qualitatively different than normal, daily fatigue. Given the heterogeneous nature of ME/CFS, it is likely that individuals with this illness experience these fatigue types differently in terms of severity and frequency. It is also possible that meaningful subgroups of patients exist that exhibit different patterns of the fatigue experience. The purpose of this study was to investigate whether individuals with ME/CFS can be classified in a meaningful way according to the different types of fatigue they experience. One hundred individuals with ME/CFS participated in the study. Individuals that met inclusion criteria were administered the Multiple Fatigue Types Questionnaire (MFTQ), a 5-factor instrument that distinguishes between different types of fatigue. A cluster analysis was used to classify patients into various clusters based on factor subscale scores. Using a 3-factor solution, individuals were classified according to illness severity (low, moderate, severe) across the different fatigue factors. However, a 5-cluster solution enabled participants with moderate to severe fatigue levels to fall into more differentiated clusters and demonstrate distinct fatigue state patterns. These results suggest that fatigue patterns of individuals with ME/CFS are heterogeneous, and that patients may be classified into meaningful subgroups.

Common variant in OXTR predicts growth in positive emotions from loving-kindness training

Ample research suggests that social connection reliably generates positive emotions. Oxytocin, a neuropeptide implicated in social cognition and behavior, is one biological mechanism that may influence an individuals capacity to extract positive emotions from social contexts. Because variation in certain genes may indicate underlying neurobiological differences, we tested whether several SNPs in two genes related to oxytocin signaling would show effects on positive emotions that were context-specific, depending on sociality. For six weeks, a sample of mid-life adults (N=122) participated in either socially-focused loving-kindness training or mindfulness training. During this timespan they reported their positive emotions daily. Five SNPs within OXTR and CD38 were assayed, and each was tested for its individual effect on daily emotions. The hypothesized three-way interaction between time, training type, and genetic variability emerged: Individuals homozygous for the G allele of OXTR rs1042778 experienced gains in daily positive emotions from loving-kindness training, whereas individuals with the T allele did not experience gains in positive emotions with either training. These findings are among the first to show how genetic differences in oxytocin signaling may influence an individuals capacity to experience positive emotions as a result of a socially-focused intervention.

Integration of Stochastic Differential Equations Using Structural Equation Modeling: A Method to Facilitate Model Fitting and Pedagogy

Stochastic differential equation (SDE) models are a promising method for modeling intraindividual change and variability. Applications of SDEs in the social sciences are relatively limited, as these models present conceptual and programming challenges. This article presents a novel method for conceptualizing SDEs. This method uses structural equation modeling (SEM) conventions to simplify SDE specification, the flexibility of SEM to expand the range of SDEs that can be fit, and SEM diagram conventions to facilitate the teaching of SDE concepts. This method is a variation of latent difference scores (McArdle, 2009; McArdle & Hamagami, 2001) and the oversampling approach (Singer, 2012), and approximates the advantages of analytic methods such as the exact discrete model (Oud & Jansen, 2000) while retaining the modeling fiexibility of methods such as latent differential equation modeling (Boker, Neale, & Rausch, 2004). A simulation and empirical example are presented to illustrate that this method can be implemented on current computing hardware, produces good approximations of analytic solutions, and can flexibly accommodate novel models.