Effectively Analyzing Change over Time in Laboratory Research on Stress and Health: A Multilevel Modeling Approach

Stress and health researchers often utilize standardized laboratory stress tasks to evaluate the physical and psychological consequences of challenging experiences. These laboratory sessions usually include multiple measurements of physical and psychological responses collected over time. Multilevel modeling allows researchers to make use of all available data points to model the trajectory of change over time, and within distinct task periods such as baseline, stressor, and recovery. To effectively predict future health outcomes it is important to examine both stress‐related reactivity and recovery. In this paper, we review the analytic approaches used in recent laboratory stress research and note that many recent articles have aggregated multiple responses, used difference scores, or conducted repeated measures analysis of variance (ANOVA). Relatively few studies used a multilevel modeling approach. We highlight the advantages of a multilevel modeling approach and provide an example for using this approach as an alternative to repeated measures ANOVA and difference scores.     

Experimental Assessment of Cheating Prevalence in the Czech Republic as an Example of a Post-Communist Country

Dishonest behavior presents a serious problem in many countries’ institutions and was found to be relatively widespread in post-communist countries. We focus on the prevalence of cheating in a sample from such country, the Czech Republic, and individual characteristics influencing dishonest behavior. We used a die rolling task where participants can cheat on their reward to determine whether anonymity conditions increase the frequency of cheating. Participants playing alone did not cheat significantly more than the control group throwing dice publicly. We did not find that gender, cognitive abilities, risk and social preferences robustly predicted the rate of cheating.     

Is the Positive Bias an ADHD Phenomenon? Reexamining the Positive Bias and its Correlates in a Heterogeneous Sample of Children

The goals of this study were to (a) evaluate the presence of the positive bias (PB) in elementary-school-aged children with and without ADHD when PB is defined at the individual level through latent profile analysis and (b) examine the extent to which several correlates (i.e., social functioning, aggression, depression, and anxiety) are associated with the PB. Participants were 233 youth (30% female; 8 to 10 years of age), 51% of whom met criteria for ADHD. During an individual evaluation, children and parents completed a battery of questionnaires to assess child competence, depression, anxiety, and aggression. Children also participated in a novel group session with same-sex unfamiliar peers (half of the group was comprised of children with ADHD) to engage in group problem-solving tasks and free play activities. After the group session, peers and staff completed ratings of each child’s behavior (e.g., likeability, rule following). The best fitting LPA model for parent and self-ratings of competence revealed four profiles: High Competence/Self-Aware; Variable Competence/Self-Aware; Low Competence/Self-Aware; and Low Competence/PB, in which the PB was present across domains. Only 10% of youth showed a PB and youth with ADHD were no more likely to display the PB than their non-ADHD peers with similar levels of low competence. Lastly, the Low Competence/Self-Aware profile demonstrated higher levels of anxiety and depression than the Low Competence/PB profile; the profiles did not differ on aggression or peer or staff ratings of social/behavioral functioning. Implications for understanding the PB in children with and without ADHD are discussed.     

Examining Leadership With American Counseling Association Presidents: A Grounded Theory of Leadership Identity Development

In a grounded theory study, the authors examined the leadership identity development of 12 past presidents of the American Counseling Association. Using individual interviews, the authors identified 3 interactional themes that form a theoretical framework for leadership identity development: (a) influence, motivation, and support to lead; (b) leadership skills; and (c) reinforcing experiences. Implications for counselors and counselor educators are offered.     

Can the positive effects of inspiration be extended to different domains?

It is presently unknown whether inspiration extends across different domains: can a salesperson, for example, be inspired by a successful athlete? The present study investigated whether inspirational content must be relevant to a subsequent task to improve performance. Participants (N = 70) wrote about a time they felt inspired in a sporting context (domain‐relevant), creative context (domain‐irrelevant); or amused (positive control). Participants then held a handgrip, with the option of giving up or continuing to exhaustion. Regardless of the relevance of the inspirational content to the performance task, inspired participants were less likely to give up than controls. This is the first research to show that the benefits of inspiration reach beyond the domain defined by the inspiring event.