Social Network Methods for Assigning Students to Teams.

Teachers often group students into teams to organize their classrooms and network-informed interventions hold great promise as a way to facilitate positive peer influence and promote the diffusion of intervention effects. Yet thus far, relatively little research has explored how teachers or prevention scientists can best use social network information to assign students to teams. The goal of the present study was to identify and compare seven methods that use different data sources and assignment algorithms to create teams of students. To test these methods, we used survey data from 247 5th through 8th grade students in three rural schools that assessed students' social networks, sociability, values and interests, and bonding to school. To create teams, we first identified popular students (i.e., those who received the highest number of peer nominations) who also had school bonding scores in the normal range and formed 4-person teams around them, applying different methods to assign students to teams. In all but one method, we placed at-risk students (i.e., those who had the lowest school bonding scores) in teams only during the final round of team creation. Team assignments were compared against three criteria: (1) team-level bonding to school, (2) patterns of affiliation among teammates, and (3) shared values and interests. Two methods, one that used only social network data and one that used social network data in combination with students' values and interests, yielded the most promising outcomes. The most positive results were obtained when a pruning algorithm akin to the one proposed by Girvan and Newman (2002) Proceedings of the National Academy ofSciences, 99, 7821-7826 was used to select which dyads to join as teammates; this pruning method joined more weakly linked students first, maximizing their potential to find suitable matches. These methods for team assignment hold promise for designing network-informed school-based interventions.

Social Networks of Adolescent Sexual Violence Perpetrators: Peer Friendship and Trusted Adult Characteristics.

The current study tested differences in social network characteristics of high school students who report perpetrating sexual violence (SV) versus those who do not. N = 4554 students (49% male, 49% female, 2% another gender identity; 45% Hispanic, 43% white, 12% another racial identity) from 20 high schools reported how often they had perpetrated 13 sexually violent behaviors. Using their responses, students were classified as follows: non-perpetrators, sexual harassment perpetrators, low contact perpetrators, or high contact perpetrators. Students named up to 7 close friends and up to 7 trusted adults at their school and answered questions about other behaviors and attitudes. This information was used to assess (1) students' connections with peers, (2) students' connections with trusted adults, and (3) friends' characteristics. Multilevel models indicated that compared to their peers, high contact perpetrators were less involved in the peer networks, less connected to trusted adults, and more likely to have friends who were involved in risky behaviors (e.g., sexual violence, homophobic name-calling, substance use). Low contact perpetrators were as connected to peers and trusted adults as non-perpetrators but were more likely to have friends engaged in sexual violence and homophobic naming-calling perpetration. By contrast, sexual harassment perpetrators were more involved and held higher status in the peer network (e.g., received more friendship nominations) but otherwise had similar friendship characteristics and similar connections to trusted adults as non-perpetrators. Building on these results, social network-informed SV prevention should use opinion leaders to change SV norms throughout the network and encourage new relationships between low- and high-risk students so as to disseminate norms that do not tolerate SV. Promoting connections to trusted adults also may be a useful avenue, especially for isolated adolescents.Trial Registration This study is registered at www.clinicaltrials.gov NCT01672541. Syntax code is available from the authors upon request.

A Hybrid Evaluation-Optimization Trial to Evaluate an Intervention Targeting the Intersection of Alcohol and Sex in College Students and Simultaneously Test an Additional Component Aimed at Preventing Sexual Violence.

BACKGROUND: Using the multiphase optimization strategy (MOST), we previously developed and optimized an online behavioral intervention, itMatters, aimed at reducing the risk of sexually transmitted infections (STI) among first-year college students by targeting the intersection of alcohol use and sexual behaviors. PURPOSE: We had two goals: (a) to evaluate the optimized itMatters intervention and (b) to determine whether the candidate sexual violence prevention (SVP) component (included at the request of participating universities) had a detectable effect and therefore should be added to create a new version of itMatters. We also describe the hybrid evaluation-optimization trial we conducted to accomplish these two goals in a single experiment. METHODS: First year college students (N = 3,098) at four universities in the USA were individually randomized in a hybrid evaluation-optimization 2 × 2 factorial trial. Data were analyzed using regression models, with pre-test outcome variables included as covariates in the models. Analyses were conducted separately with (a) immediate post-test scores and (b) 60-day follow-up scores as outcome variables. RESULTS: Experimental results indicated a significant effect of itMatters on targeted proximal outcomes (norms) and on one distal behavioral outcome (binge drinking). There were no significant effects on other behavioral outcomes, including the intersection of alcohol and sexual behaviors. In addition, there were mixed results (positive short-term effect; no effect at 60-day follow-up) of the SVP component on targeted proximal outcomes (students' self-efficacy to reduce/prevent sexual violence and perceived effectiveness of protective behavioral strategies). CONCLUSIONS: The hybrid evaluation-optimization trial enabled us to evaluate the individual and combined effectiveness of the optimized itMatters intervention and the SVP component in a single experiment, conserving resources and providing greatly improved efficiency. TRIAL REGISTRATION: NCT04095065.

Moderators of Friend Selection and Influence in Relation to Adolescent Alcohol Use.

Friendships form an important context in which adolescents initiate and establish alcohol use patterns, but not all adolescents may be equally affected by this context. Therefore, this study tests whether parenting practices (i.e., parental discipline, parental knowledge, unsupervised time with peers) and individual beliefs (i.e., alcohol descriptive norms, positive social expectations, moral approval of alcohol use) moderate friend selection and influence around alcohol use. Stochastic actor-based models were used to analyze longitudinal social network and survey data from 12,335 adolescents (aged 11 to 17, 51.3% female) who were participating in the PROSPER project. A separate model was estimated for each moderating variable. Adolescents who reported consistent parental discipline, less unsupervised time with peers, higher descriptive alcohol use norms, and less positive social expectations about alcohol use were less likely to select alcohol-using friends. Those who reported consistent parental discipline, better parental knowledge, lower descriptive alcohol use norms, and less positive social expectations were more influenced by their friends' level of alcohol use. Thus, adolescents with these characteristics whose friends frequently use alcohol are at greater risk whereas those whose friends do not use alcohol are at lower risk of using alcohol. The findings show that, although selection and influence processes are connected, they may function in different ways for different groups of adolescents. For some adolescents, it is particularly important to prevent them from selecting alcohol-using friends, because they are more susceptible to influence from such friends. These peer network dynamics might explain how proximal outcomes targeted by many prevention programs (i.e., parenting practices and individual beliefs) translate into changes in alcohol use.

The Society for Prevention Research 20 Years Later: a Summary of Training Needs.

The Society for Prevention Research (SPR) aims to continually provide relevant professional development training opportunities to advance scientific investigation of ways to improve the health, well-being, and social and educational outcomes of individuals and communities. Our study, led by the Training Needs Assessment Task Force, designed a quantitative questionnaire informed by semistructured, qualitative interviews of 13 key prevention science informants. The questionnaire was deployed to all SPR members, of which 347 completed it. Questions about training topics were asked along 8 categories: (1) theory; (2) preventive interventions; (3) research methods, design, and evaluation; (4) teaching and mentoring; (5) practical and interpersonal skills; (6) communication; (7) project management; and (8) data analysis. Across all categories, respondents reported a high level of interest in receiving training: more than 80% were interested in training in data analytic methods; about 70% indicated interest in theory, preventive interventions, and research methods, design, and evaluation; about 65% were interested in at least 1 communication and project management topic; and 60% showed interest in at least 1 practical and interpersonal skills topic. Training-related interests varied across career level and race/ethnicity, with early-career individuals and people of color typically indicating the most interest. Participants were most likely to endorse self-initiated learning and webinars. SPR preconference training workshops were strongly endorsed for data analysis and preventive intervention topics. Recommendations from our study include a need for SPR to more strongly support self-initiated learning opportunities and continue preconference training programs, with special focuses in statistical methods and preventive interventions and regular assessment of members' training preferences.

Peer-adult network structure and suicide attempts in 38 high schools: implications for network-informed suicide prevention.

BACKGROUND: Strengthening social integration could prevent suicidal behavior. However, minimal research has examined social integration through relationship network structure. To address this important gap, we tested whether structural characteristics of school networks predict school rates of ideation and attempts. METHODS: In 38 US high schools, 10,291 students nominated close friends and trusted adults to construct social networks. We used mixed-effects logistic regression models to test individual student networks and likelihood of suicidal ideation (SI) and suicide attempts (SA); and linear regression models to estimate associations between school network characteristics and school rates of SI, SA, and SA among all with ideation. RESULTS: Lower peer network integration and cohesion increased likelihood of SI and SA across individual and school-level models. Two factors increased SA: student isolation from adults and suicidal students' popularity and clustering. A multivariable model identified higher SA in schools where youth-adult relationships were concentrated in fewer students (B = 4.95 [1.46, 8.44]) and suicidal students had higher relative popularity versus nonsuicidal peers (B = 0.93 [0.10, 1.77]). Schools had lower SA rates when more students named the same trusted adults named by friends and many students named the same trusted adults. When adjusting for depression, violence victimization and bullying, estimates for adult network characteristics were substantially unchanged whereas some peer effects decreased. CONCLUSIONS: Schoolwide peer and youth-adult relationship patterns influence SA rates beyond individual student connections. Network characteristics associated with suicide attempts map onto three theory-informed domains: social integration versus thwarted relational needs, group cohesion, and suicidal students' social influence. Network interventions addressing these processes, such as maximizing youth-adult connections schoolwide and heightening influence of youth with healthy coping, could create more protective schools. Longitudinal and intervention studies are needed to determine how schools differentiate in network structure and clarify reciprocal dynamics between network characteristics and suicidal behavior.

Laying the groundwork for evidence-based public health: why some local health departments use more evidence-based decision-making practices than others.

We examined variation in the use of evidence-based decision-making (EBDM) practices across local health departments (LHDs) in the United States and the extent to which this variation was predicted by resources, personnel, and governance. We analyzed data from the National Association of County and City Health Officials Profile of Local Health Departments, the Association of State and Territorial Health Officials State Health Departments Profile, and the US Census using 2-level multilevel regression models. We found more workforce predictors than resource predictors. Thus, although resources are related to LHDs' use of EBDM practices, the way resources are used (e.g., the types and qualifications of personnel hired) may be more important.

Adolescent peer networks and the potential for the diffusion of intervention effects.

Many evaluation studies assess the direct effect of an intervention on individuals, but there is an increasing interest in clarifying how interventions can impact larger social settings. One process that can lead to these setting-level effects is diffusion, in which intervention effects spread from participants to non-participants. Diffusion may be particularly important when intervention participation rates are low, as they often are in universal family based prevention programs. We drew on socialization and diffusion theories to articulate how features of peer networks may promote the diffusion of intervention effects. Then, we tested the measurement properties of ten social network analytic (SNA) measures of diffusion potential. Data were from 42 networks (n = 5,784 students) involved in the PROSPER intervention trial. All families of sixth-grade students were invited to participate in a family based substance use prevention program, and 17 % of the families attended at least one session. We identified two dimensions of network structure--social integration and location of intervention participants in their peer network--that might promote diffusion. Analyses demonstrated that these SNA measures varied across networks and were distinct from traditional analytic measures that do not require social network analysis (i.e., participation rate, how representative participants are of the broader population). Importantly, several SNA measures and the global network index predicted diffusion over and above the effect of participation rate and representativeness. We conclude by recommending which SNA measures may be the most promising for studying how networks promote the diffusion of intervention effects and lead to setting-level effects.

Doping Prevalence among U.S. Elite Athletes Subject to Drug Testing under the World Anti-Doping Code.

BACKGROUND: Determining the prevalence of doping within an elite athlete population is challenging due to the extreme sensitivity of the topic; however, understanding true doping prevalence is important when designing anti-doping programs and measuring their effectiveness. The objective of this study was to estimate the prevalence of doping among Olympic, Paralympic, World, and National-level competitive athletes in the United States subject to the World Anti-Doping Code. All athletes who were subject to the U.S. Anti-Doping Agency's Protocol for Olympic and Paralympic Movement Testing, a World Anti-Doping Code ("Code")-compliant anti-doping program, were invited to complete a web-delivered survey. Using a direct questioning approach, the survey items asked athletes whether they had used each specific category of banned substance / method on the World Anti-Doping Agency's Prohibited List. Multiple strategies to encourage honest reporting (e.g., protecting anonymity by collecting minimal demographic information; using an outside organization to administer the survey) and to detect inconsistent responses were used. RESULTS: Depending on the method of calculation, 6.5-9.2% of the 1,398 respondents reported using one or more prohibited substances or methods in the 12 months prior to survey administration. Specific doping prevalence rates for each individual substance / method categories ranged from 0.1% (for both diuretics / masking agents and stem cell / gene editing) to 4.2% for in-competition use of cannabinoids. CONCLUSION: Determining the prevalence of doping within different athlete populations is critical so that sport governing bodies can evaluate their anti-doping efforts and better tailor their programming. By measuring doping prevalence of specific categories of substances and methods, rather than just the overall prevalence of doping, this study also highlights where sport governing bodies should focus their future educational and detection efforts.

Using the Preparation Phase of the Multiphase Optimization Strategy to Design an Antiextremism Program in Bahrain: Formative and Pilot Research.

BACKGROUND: Extremism continues to raise concerns about conflict and violent attacks that can lead to deaths, injuries, trauma, and stress. Adolescents are especially vulnerable to radicalization by extremists. Given its location in a region that often experiences extremism, Bahrain developed 4 peaceful coexistence lessons and 4 antiextremism lessons to be implemented as part of their Drug Abuse Resistance Education (D.A.R.E.) program. OBJECTIVE: The aim of this study is to report the results of the preparation phase of the multiphase optimization strategy (MOST) to develop a peaceful coexistence program and an antiextremism program implemented by D.A.R.E. officers in Bahrain. METHODS: We developed conceptual models for the peaceful coexistence and antiextremism programs, indicating which mediators each lesson should target, the proximal outcomes that should be shaped by these mediators, and the distal and ultimate outcomes that the intervention should change. We recruited 20 middle schools to pilot test our research protocol, survey measures, and the existing intervention lessons. A total of 854 seventh and ninth grade students completed a pretest survey, 4 peaceful coexistence intervention lessons, and an immediate posttest survey; and a total of 495 ninth grade students completed the pretest survey, 4 antiextremism lessons, and an immediate posttest survey. A series of 3-level models, nesting students within classrooms within schools, tested mean differences from pretest to posttest. RESULTS: Pilot test results indicated that most measures had adequate reliability and provided promising evidence that the existing lessons could change some of the targeted mediators and proximal outcomes. Specifically, students who completed the peaceful coexistence lessons reported significant changes in 5 targeted mediating variables (eg, injunctive norms about intolerance, P<.001) and 3 proximal outcomes [eg, social skills empathy (P=.008); tolerance beliefs (P=.041)]. Students who completed the antiextremism lessons reported significant changes in 3 targeted mediators [eg, self-efficacy to use resistance skills themselves (P<.001)], and 1 proximal outcome (ie, social skills empathy, P<.001). CONCLUSIONS: An effective antiextremism program has the potential to protect youth from radicalization and increase peaceful coexistence. We used the preparation phase of MOST to (1) develop a conceptual model, (2) identify the 4 lessons in each program as the components we will evaluate in the optimization phase of MOST, (3) pilot test the existing lessons, our newly developed measures, and research protocol, and (4) determine that our optimization objective will be all effective components. We will use these results to revise the existing lessons and conduct optimization trials to evaluate the efficacy of the individual lessons.

A randomized iterative approach to optimizing an online substance use intervention for collegiate athletes.

BACKGROUND: Rates of drug use among collegiate athletes are high, yet there are few evidence-based interventions for this population. myPlaybook, an online intervention for collegiate athletes, targets multiple predictors of drug use (i.e., norms, positive and negative expectancies about use, and harm prevention intentions). PURPOSE: We aimed to optimize modules from myPlaybook. METHOD: We evaluated modules through three sequential randomized factorial trials, using the Multiphase Optimization Strategy framework. We recruited and randomized 54 (Trial 1), 47 (Trial 2), and 42 (Trial 3) schools and invited all first-year and transfer collegiate athletes to participate. Athletes completed a baseline survey, their randomly assigned modules, and immediate posttest and 30-day follow-up surveys. Across trials, 3,244 (48.8% female), 2,837 (51.9% female), and 2,193 (51.4% female) athletes participated. In Trial 1, we evaluated and revised less effective modules (defined as d < 0.3-0.4 for targeted outcomes). In Trial 2, we re-evaluated and revised less effective modules. In Trial 3, we re-evaluated the revised modules. RESULTS: Trial 1: All effects were d < 0.15, so we revised modules to target proximal outcomes (i.e., the hypothesized mediating variables in our conceptual model), rather than specific drug use behaviors. Trial 2: Most effects were d < 0.3, so we revised all modules. Trial 3: The norms module improved descriptive and injunctive norms (all d >0.35). The expectancies module improved alcohol positive expectancies (d = 0.3). The other modules were not effective. CONCLUSIONS: After three trials, two myPlaybook modules substantially improved proximal outcomes, increasing the likelihood that the combined intervention will have a meaningful clinical impact on collegiate athletes' drug use.

Rates of drug use among collegiate athletes are high, yet there are few evidence-based interventions for this population, and the few existing interventions only address alcohol use. In addition, alcohol and drug use interventions targeting college students are not always as effective or efficient as they could be. Our goal was to strengthen modules from myPlaybook, an online drug use intervention for collegiate athletes as a way to optimize the full intervention package. We conducted three intervention trials. Each trial occurred in separate academic years and included 2,000­3,000 athletes from 40 to 50 colleges and universities. We randomly assigned athletes to receive one or more intervention modules that target known risk factors for drug use (i.e., social norms, expectancies about the effects of drug use, harm prevention strategies, and life skills). We used the results about the effects of each module to improve the module prior to the next trial. After these trials, the revised modules targeting social norms and expectancies about drug use had meaningful effects, increasing the likelihood that the full myPlaybook intervention will lead to clinical reductions in drug use among collegiate athletes.

DELINQUENCY AND THE STRUCTURE OF ADOLESCENT PEER GROUPS.

Gangs and group-level processes were once central phenomena for criminological theory and research. By the mid-1970's, however, gang research was primarily displaced by studies of individual behavior using randomized self-report surveys, a shift that also removed groups from the theoretical foreground. In this project, we return to the group level to test competing theoretical claims about delinquent group structure. We use network-based clustering methods to identify 897 friendship groups in two ninth grade cohorts of 27 Pennsylvania and Iowa schools. We then relate group-level measures of delinquency and drinking to network measures of group size, friendship reciprocity, transitivity, structural cohesion, stability, average popularity, and network centrality. We find significant negative correlations between group delinquency and all of our network measures, suggesting that delinquent groups are less solidary and less central to school networks than non-delinquent groups. Further analyses, however, reveal that these correlations are primarily explained by other group characteristics, such as gender composition and socioeconomic status. Drinking behaviors, on the other hand, show net positive associations with most of the network measures, suggesting that drinking groups have higher status and are more internally cohesive than non-drinking groups. Our findings shed light on a longstanding criminological debate by suggesting that any structural differences between delinquent and non-delinquent groups may be attributable to other attributes coincidental with delinquency. In contrast, drinking groups appear to provide peer contexts of greater social capital and cohesion.

Above the influence of vaping: Peer leader influence and diffusion of a network-informed preventive intervention.

Using social networks to inform prevention efforts is promising but has not been applied to vaping. To address this gap, we pilot tested the peer-led Above the Influence of Vaping (ATI-V) and examined diffusion through 8th grade networks in three schools. Fifty students, nominated and trained as Peer Leaders, implemented prevention campaigns informed by communication science, including gain-loss messaging and social norming. Across schools, 86-91% of students (N = 377) completed measures (pre-post) of electronic vaping product (EVP) use and attitudes, and named close friends and adults to construct social networks. Using baseline reports, we classified students as Recent EVP Users (10%), Vulnerable Nonusers (24%), or Resolute Nonusers (66%). Peer Leaders had reach through friendship connections to students at varying risk of vaping; 12-16 weeks after Peer Leaders were trained and began implementing campaigns, 79% of Resolute Nonusers and 74% of Recent Users/Vulnerable Nonusers reported exposure to a vaping prevention message. Students with more Peer Leader friends were less likely to report recent EVP use (OR = 0.41) or intention to use an EVP (B = 0.12) on post-surveys, supporting the intervention conceptual model positing diffusion through friendship networks. Use of student-nominated peer leaders was supported by network analyses showing EVP Users integrated within the friendship network, having more high-risk friends, and fewer adult connections. This evidence is the first to show that adolescent Peer Leaders with ongoing mentoring and science-informed campaigns can potentially reduce EVP acceptability and use. Areas for refining ATI-V include increasing consistency of campaign exposure across schools.

An Intervention for the Transition From Pediatric or Adolescent to Adult-Oriented HIV Care: Protocol for the Development and Pilot Implementation of iTransition.

BACKGROUND: In the United States, adolescents and young adults are disproportionately affected by HIV and have poorer HIV-related health outcomes than adults. Health care transition (HCT) from pediatric or adolescent to adult-oriented HIV care is associated with disruptions to youths' care retention, medication adherence, and viral suppression. However, no evidence-based interventions exist to improve HCT outcomes for youth living with HIV. OBJECTIVE: There are 2 phases of this project. Phase 1 involves the iterative development and usability testing of a Social Cognitive Theory-based mobile health (mHealth) HIV HCT intervention (iTransition). In phase 2, we will conduct a pilot implementation trial to assess iTransition's feasibility and acceptability and to establish preliminary efficacy among youth and provider participants. METHODS: The iterative phase 1 development process will involve in-person and virtual meetings and a design team comprising youth living with HIV and health care providers. The design team will both inform the content and provide feedback on the look, feel, and process of the iTransition intervention. In phase 2, we will recruit 100 transition-eligible youth across two clinical sites in Atlanta, Georgia, and Philadelphia, Pennsylvania, to participate in the historical control group (n=50; data collection only) or the intervention group (n=50) in a pilot implementation trial. We will also recruit 28 provider participants across the pediatric or adolescent and adult clinics at the two sites. Data collection will include electronic medical chart abstraction for clinical outcomes as well as surveys and interviews related to demographic and behavioral characteristics; Social Cognitive Theory constructs; and intervention feasibility, acceptability, and use. Analyses will compare historical control and intervention groups in terms of HCT outcomes, including adult care linkage (primary), care retention, and viral suppression (secondary). Interview data will be analyzed using content analysis to understand the experience with use and acceptability. RESULTS: Phase 1 (development) of iTransition research activities began in November 2019 and is ongoing. The data collection for the phase 2 pilot implementation trial is expected to be completed in January 2023. Final results are anticipated in summer 2023. CONCLUSIONS: The development and pilot implementation trial of the iTransition intervention will fill an important gap in understanding the role of mHealth interventions to support HCT outcomes for youth living with HIV. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24565.

Rejection, feeling bad, and being hurt: using multilevel modeling to clarify the link between peer group aggression and adjustment.

The association between affiliating with aggressive peers and behavioral, social and psychological adjustment was examined. Students initially in 3rd, 4th, and 5th grade (N = 427) were followed biannually through 7th grade. Students' peer-nominated groups were identified. Multilevel modeling was used to examine the independent contributions of adolescents' typical peer context (between-person effect) and changes in peer context (within-person effects) to adolescents' adjustment. Typically affiliating with aggressive groups and affiliating with more aggressive groups than usual predicted higher aggression for all youth. Typically affiliating with aggressive groups predicted negative adjustment (lower social preference and self-worth, higher victimization) for girls but neutral or positive adjustment for boys. Although typical peer context was consistently associated with adjustment, changes in peer context predicted small changes in adjustment for several outcomes. Results underscored the need to adopt a more differentiated picture of adolescents' dynamic peer context and its association with normative development.

Estimation of a four-parameter item response theory model.

We explore the justification and formulation of a four-parameter item response theory model (4PM) and employ a Bayesian approach to recover successfully parameter estimates for items and respondents. For data generated using a 4PM item response model, overall fit is improved when using the 4PM rather than the 3PM or the 2PM. Furthermore, although estimated trait scores under the various models correlate almost perfectly, inferences at the high and low ends of the trait continuum are compromised, with poorer coverage of the confidence intervals when the wrong model is used. We also show in an empirical example that the 4PM can yield new insights into the properties of a widely used delinquency scale. We discuss the implications for building appropriate measurement models in education and psychology to model more accurately the underlying response process.

Using the Integrated Behavioral Model to Determine Sport-Related Concussion Reporting Intentions Among Collegiate Athletes.

PURPOSE: A significant proportion of sport-related concussions goes unreported among adolescents, which can result in irreversible brain damage. It is critical to identify and intervene on factors that significantly impact concussion reporting. METHODS: This study tests factors associated with collegiate athletes' intentions to (1) self-report concussion symptoms; (2) report another athlete's concussion symptoms; and (3) encourage others to report. Drawing on the Integrated Behavioral Model, predictors at the athlete level included perceived norms (bystander descriptive norms, injunctive norms, and subjective norms), attitudes (positive and negative expectancies about reporting and playing through a concussion and concussion reporting attitudes), personal agency (self-efficacy to recognize symptoms and communicate), and perceived coach communication. At the team level, coaches' self-reported communication was also included. Athletes (N = 1,858) and coaches (N = 254) at 16 colleges and universities completed Web-based surveys in 2016. Multilevel modeling accounted for the nesting of athletes within athletic team. RESULTS: Bystander descriptive norms, positive reporting expectancies, concussion reporting attitudes, self-efficacy to communicate about a concussion, and athletes' perceptions of their coach's communication were positively associated with all three outcomes. By contrast, subjective norms were only positively associated with intentions to self-report and bystander reporting intentions, negative reporting expectancies were only associated with intentions to self-report, and positive and negative expectancies for playing through a concussion were only associated with intentions to self-report and bystander encouragement. CONCLUSIONS: In sum, multiple factors within the Integrated Behavioral Model predict reporting intentions and underscore the complexity of athletes' concussion reporting behaviors and offer guidance for the development of prevention strategies.

Tracking Changes in US Organizations' Workplace Health Promotion Initiatives: A Longitudinal Analysis of Performance Against Quality Benchmarks.

PURPOSE: To examine changes in organizations' workplace health promotion (WHP) initiatives over time associated with repeated self-assessment using the Well Workplace Checklist (WWC). DESIGN: Well Workplace Checklist data include a convenience sample of US organizations that selected to assess their performance against quality WHP benchmarks. SETTING: Workplaces. SUBJECTS: In total, 577 US organizations completed the WWC in 2 or more years from 2008 to 2015. MEASURES: The WWC is a 100-item organizational assessment that measures performance against the original set of quality benchmarks that were established by the Wellness Council of America (WELCOA). ANALYSIS: This study examined changes in overall WWC scores as well as 7 separate benchmark scores. Multilevel modeling was used to examine changes in scores associated with repeated assessments, controlling for the year of assessment and organizational characteristics. RESULTS: There were significant increases in overall WWC scores (ß = 2.93, P < .001) associated with the repeated WWC assessments, after controlling for organizational characteristics. All 7 benchmark scores had significant increases associated with reassessment. Compared to other benchmarks, operating plan (ß = 6.18, P < .001) and evaluation (ß = 4.91, P < .001) scores increased more with each reassessment. CONCLUSION: Continued reassessment may represent more commitment to and investment in WHP initiatives which could lead to improved quality. Other factors that may positively influence changes in performance against benchmarks include company size, access to outside resources for WHP, and a history with implementing WHP.

I've Fallen and I Can't Get Up: Can High Ability Students Recover From Early Mistakes in CAT?

A difficult result to interpret in Computerized Adaptive Tests (CATs) occurs when an ability estimate initially drops and then ascends continuously until the test ends, suggesting that the true ability may be higher than implied by the final estimate. We explain why this asymmetry occurs and show that early mistakes by high ability students can lead to considerable underestimation, even in tests with 45 items. The opposite response pattern, where low ability students start with lucky guesses, leads to much less bias. We show that using Barton and Lord's (1981) four-parameter model and a less informative prior can lower bias and RMSE for high ability students with a poor start, as the CAT algorithm ascends more quickly after initial underperformance. We also show that the 4PM slightly outperforms a CAT in which less discriminating items are initially used. The practical implications and relevance for psychological measurement more generally are discussed.

Association Between the Characteristics of Organizations and Their Profile of Performance Against Quality Benchmarks for Workplace Health Promotion.

OBJECTIVE: This study explored subgroups of performance profiles measured by organizations' Well Workplace Checklist (WWC) benchmark scores and examined company characteristics associated with performance subgroups. METHODS: The sample included 3728 US organizations that completed the WWC in 2008 to 2015. Latent profile analysis (LPA) was used to extract distinct subgroups of organizations based on benchmark performance. Multinomial logistic regression analysis was used to examine associations between the characteristics of organizations and their performance subgroup. RESULTS: Three distinct subgroups of performance resulted from the LPA. Significant associations were found between subgroup assignment and characteristics such as size, industry, how WHP initiatives were paid for, and reasons for implementing WHP initiatives. CONCLUSION: The characteristics associated with subgroups of performance suggest utility for developing specific interventions tailored to different types of organizations to improve their overall quality of WHP initiatives.