Teena Willoughby

Examining the link between nonsuicidal self-injury and suicidal behavior: a review of the literature and an integrated model.

Self-injurious behaviors (SIB) refer to behaviors that cause direct and deliberate harm to oneself, including nonsuicidal self-injury (NSSI), suicidal behaviors, and suicide. Although in recent research, NSSI and suicidal behavior have been differentiated by intention, frequency, and lethality of behavior, researchers have also shown that these two types of self-injurious behavior often co-occur. Despite the co-occurrence of NSSI and suicidal behavior, however, little attention has been given as to why these self-injurious behaviors may be linked. Several authors have suggested that NSSI is a risk factor for suicidal behavior, but no comprehensive review of the literature on NSSI and suicidal behavior has been provided. To address this gap in the literature, we conducted an extensive review of the research on NSSI and suicidal behavior among adolescents and adults. First, we summarize several studies that specifically examined the association between NSSI and suicidal behavior. Next, three theories that have been proposed to account for the link between NSSI and suicidal behavior are described, and the empirical support for each theory is critically examined. Finally, an integrated model is introduced and several recommendations for future research are provided to extend theory development.

A Short-Term Longitudinal Study of Internet and Computer Game Use by Adolescent Boys and Girls: Prevalence, Frequency of Use, and Psychosocial Predictors

Prevalence, frequency, and psychosocial predictors of Internet and computer game use were assessed with 803 male and 788 female adolescents across 2 time periods, 21 months apart. At Time 1, participants were in the 9th or 10th grade; at Time 2, they were in the 11th or 12th grade. Most girls (93.7%) and boys (94.7%) reported using the Internet at both time periods, whereas more boys (80.3%) than girls (28.8%) reported gaming at both time periods. Girls reported a small decrease over time in the frequency of hours spent per day on overall technology use, mostly due to a decrease in gaming. Both linear and curvilinear relations were examined between parental relationships, friendship quality, academic orientation, and well-being measured in early high school and the frequency of technology use in late high school. Being male significantly predicted both computer gaming and Internet use. There also were trends in favor of higher friendship quality and less positive parental relationships predicting higher frequency of Internet use. Importantly, moderate use of the Internet was associated with a more positive academic orientation than nonuse or high levels of use.

A longitudinal examination of breadth and intensity of youth activity involvement and successful development.

Connections between youth activity involvement and indicators of successful development were examined in a longitudinal high school sample. Drawing on theories of expertise skill development (e.g., J. Côté, 1999); the selection, optimization, and compensation framework (P. B. Baltes, 1997); and theories of positive youth development (e.g., R. M. Lerner, J. B. Almerigi, C. Theokas, & J. Lerner, 2005), reciprocal associations between breadth and intensity of activity involvement and developmental success were explored. Time 1 breadth (but not intensity) and increases in breadth predicted higher levels of successful development at Time 2 (20 months later). Time 1 developmental success and improvements predicted greater Time 2 breadth and intensity. Implications for research and theory related to connections between youth activity involvement and successful development are discussed.

Where Is the Syndrome? Examining Co-Occurrence Among Multiple Problem Behaviors in Adolescence

The authors examined co-occurrence among a wide range of adolescent problem behaviors: alcohol, smoking, marijuana, hard drugs, sexual activity, major and minor delinquency, direct and indirect aggression, and gambling. Using a large self-report survey of high school students, confirmatory factor analysis was used to test the problem syndrome model proposed by problem behavior theory. A 3-factor model provided better overall fit than did a single problem syndrome factor model. Contingency table analyses were used to examine the co-occurrence of problem behaviors at different levels of involvement within individuals, as well as relative risk ratios. Analyses offered modest support for a limited problem syndrome encompassing the report of high-risk involvement with alcohol, minor delinquency, direct aggression, and, to a lesser extent, marijuana. For each problem behavior, the majority of adolescents did not report high-risk involvement, and only a minority reported any involvement with multiple behaviors.

A primer of research on cognitive strategy instruction: The important issues and how to address them

Five types of strategy research are reviewed. (1) We argue it makes sense first to determine whether there is a need for strategy instruction. If there is, (2) development of a treatment with preliminary evaluations can follow, as can (3) formal evaluation of the resultant intervention in true experiments. As instructional need research, strategy development, and experimental evaluation proceed, two other types of research should be conducted. (4) It is important to study the acceptability of strategy interventions to educators and students. (5) Research on material modifications can provide information about how strategy benefits can be made available to students when strategy instruction is not effective or unlikely to occur. Very little strategy instruction has been evaluated in all five types of research covered here, making obvious the need for more systematic research on strategies. Observational, ethnographic, and experimental methods are required in order to address the many issues comprising comprehensive empirical analysis of any type of strategy instruction, with many recommendations made here about how to conduct informative studies.

A longitudinal study of the relation between adolescent boys and girls' computer use with friends and friendship quality: Support for the social compensation or the rich-get-richer hypothesis?

Using computers with friends either in person or online has become ubiquitous in the life of most adolescents; however, little is known about the complex relation between this activity and friendship quality. This study examined direct support for the social compensation and rich-get-richer hypotheses among adolescent girls and boys by including social anxiety as a moderating factor. A sample of 1050 adolescents completed a survey in grade 9 and then again in grades 11 and 12. For girls, there was a main effect of using computers with friends on friendship quality; providing support for both hypotheses. For adolescent boys, however, social anxiety moderated this relation, supporting the social compensation hypothesis. These findings were identical for online communication and were stable throughout adolescence. Furthermore, participating in organized sports did not compensate for social anxiety for either adolescent girls or boys. Therefore, characteristics associated with using computers with friends may create a comfortable environment for socially anxious adolescents to interact with their peers which may be distinct from other more traditional adolescent activities.

Use of Computer Input Devices by Older Adults

A sample of 85 seniors was given experience (10 trials) playing two computer tasks using four input devices (touch screen, enlarged mouse [EZ Ball], mouse, and touch pad). Performance measures assessed both accuracy and time to complete components of the game for these devices. As well, participants completed a survey where they evaluated each of the devices. Seniors also completed a series of measures assessing visual memory, visual perception, motor coordination, and motor dexterity. Overall, previous experience with computers had a significant impact on the type of device that yielded the highest accuracy and speed performance, with different devices yielding better performance for novices versus experienced computer users. Regression analyses indicated that the mouse was the most demanding device in terms of the cognitive and motor-demand measures. Discussion centers on the relative benefits and perceptions regarding these devices among senior populations.

Teachers’ Perceptions: barriers and supports to using technology in the classroom

Abstract Fifty‐four elementary and secondary school teachers participated in focus‐group discussions and completed a survey to examine barriers and supports to computer integration. Although teachers used computers at home and school, they were not wholly comfortable with the technology. Familiarity with computers predicted greater comfort with technology and greater comfort was related to greater integration in the classroom. Thematic analysis of the focus groups yielded six major themes, including issues related to: support, teachers, context and access, students, computer hardware and software problems, and external or other priorities. The discussion of computer integration also inspired substantial emotional responses on the part of teachers. Together, the survey and focus‐group findings yielded a framework for identifying individual and environmental issues which impact on computer integration.

Examining the link between adolescent brain development and risk taking from a social-developmental perspective.

The adolescent age period is often characterized as a health paradox because it is a time of extensive increases in physical and mental capabilities, yet overall mortality/morbidity rates increase significantly from childhood to adolescence, often due to preventable causes such as risk taking. Asynchrony in developmental time courses between the affective/approach and cognitive control brain systems, as well as the ongoing maturation of neural connectivity are thought to lead to increased vulnerability for risk taking in adolescence. A critical analysis of the frequency of risk taking behaviors, as well as mortality and morbidity rates across the lifespan, however, challenges the hypothesis that the peak of risk taking occurs in middle adolescence when the asynchrony between the different developmental time courses of the affective/approach and cognitive control systems is the largest. In fact, the highest levels of risk taking behaviors, such as alcohol and drug use, often occur among emerging adults (e.g., university/college students), and highlight the role of the social context in predicting risk taking behavior. Moreover, risk taking is not always unregulated or impulsive. Future research should broaden the scope of risk taking to include risks that are relevant to older adults, such as risky financial investing, gambling, and marital infidelity. In addition, a lifespan perspective, with a focus on how associations between neural systems and behavior are moderated by context and trait-level characteristics, and which includes diverse samples (e.g., divorced individuals), will help to address some important limitations in the adolescent brain development and risk taking literature.

Interpreting effect sizes when controlling for stability effects in longitudinal autoregressive models: Implications for psychological science

Effect sizes in longitudinal studies often are dramatically smaller than effect sizes in cross-sectional studies. Indeed, autoregressive models (which are often used in longitudinal studies but not in cross-sectional studies) control for past levels on the outcome (i.e., stability effects) in order to predict change in levels of the outcome over time and thus may greatly reduce the magnitude of the effect of a predictor on the outcome. Unfortunately, however, there have been no attempts to differentiate guidelines for interpreting effect sizes for longitudinal studies versus cross-sectional studies. Consequently, longitudinal effect sizes that fall below the universal guidelines for “small” may be incorrectly dismissed as trivial, when they might be meaningful. In the current paper, we first review the present guidelines for interpreting effect sizes. Next, we discuss several examples of how controlling for stability effects can dramatically attenuate effect sizes of other predictors, in order to support our argument that the current guidelines may be misleading for interpreting longitudinal effects. Finally, we conclude by making recommendations for researchers regarding the interpretation of effect sizes in longitudinal autoregressive models.