Adaptation of COMPASS for use in Autism-Specific Schools in Australia: A Cluster Randomized Trial.

Autistic students are educated in Australia across a variety of contexts and almost all educators use individualized goal-setting as a way of ensuring appropriate accommodations and curriculum modifications. Educators experience similar challenges when developing individualized goals for students, including lack of a standardized process for goal setting, inconsistent support networks, and challenges with data-driven goal-setting. The purpose of our research was to adapt and trial the Collaborative Model for Competence and Success (COMPASS), a research-based intervention aimed at improving the individualized goal-setting process for autistic students. Our primary hypothesis was that autistic students who participate in COMPASS would demonstrate more growth on their individualized outcomes relative to autistic students who receive services as usual (SAU). To answer our primary research question, we applied a single-blind cluster randomized trial. Participants were randomized into one of two groups: (a) a COMPASS intervention group and (b) a SAU group. Results indicate that students whose teachers received the intervention made more progress on their final individualized goals than those who received SAU, replicating previous findings regarding COMPASS in the US. Also, the adaptation of COMPASS for an Australian context showed high rates of satisfaction and fidelity. The success of this intervention in improving the progress that students make on their individualized goals demonstrates the benefits of a standardized intervention that supports teachers and families in this critical practice.

Strength Training Rehabilitation Incorporating Power Exercises (STRIPE) for individuals with patellofemoral pain: a randomised controlled trial protocol.

Patellofemoral pain (PFP) is a chronic condition that presents with patellar pain during various daily and recreational activities. Individuals with PFP have a wide range of impairments that result in long-term disability and reduced quality of life. Current interventions target hip muscle weakness with strength-based exercises, but recurrence rates are as high as 90%. A single feasibility study demonstrated success with power-based exercises; however, there is limited evidence evaluating pain or self-reported function in larger cohorts, and no study has assessed recurrence rates. This protocol details a study evaluating a strength-based rehabilitation programme compared with a strength-based programme incorporating power-based exercises in individuals with PFP. This single-blinded randomised controlled trial will evaluate 88 participants with PFP, aged 18-40 years old. Participants will be recruited from three universities, the surrounding community and sports medicine clinics. Participants will receive three telemedicine rehabilitation sessions a week for 6 weeks. The rehabilitation programme will consist of either strength-based exercises or a combination of power and strength-based exercises. Pain, subjective function and recurrence rates will be assessed at baseline, immediately after the intervention and at four follow-up time points: 6-month, 12-month, 18-month and 24-month postintervention. We will also assess neuromuscular function of the hips and global rating of change at each postintervention time point. Trial registration number NCT05403944.

A bifactor approach to subscore assessment.

Bifactor confirmatory factor analysis models and statistical indices computed from them have previously been used to provide evidence for the appropriateness of utilizing a unidimensional interpretation of multidimensional data. However, the ability of bifactor indices to aid in the assessment of subscore strength has not been investigated. A simulation study was conducted to relate bifactor indices to the strength of subscores corresponding to specific factors. The bifactor indices OmegaHS and ECVSS were found to be strongly predictive of subscore strength conditional upon OmegaS. The number of factors was also found to play a minor role in this relationship. Cutoffs for assessing the appropriateness of interpreting subscores were constructed based on OmegaHS or ECVSS conditional upon OmegaS and the number of factors. For low subscore reliability (OmegaS = .60), OmegaHS = .25 or ECVSS = .45 is sufficient that the subscore has a good chance of having added value (VAR > 1.1) above and beyond the total score. For moderate reliability (OmegaS = .80), OmegaHS = .20 or ECVSS = .30 is sufficient, and the role of OmegaHS or ECVSS diminishes as OmegaS increases further. A subscore having added value does not necessitate its interpretation. Instead, when subscores are desired to be interpreted, high OmegaHS or ECVSS can be considered as evidence that such an interpretation is statistically appropriate. Finally, we illustrate the use of these cutoffs with an empirical data set. When combined with prior bifactor research, this work extends a framework of using confirmatory bifactor models for dimensionality assessment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

To Reverse Item Orientation or Not to Reverse Item Orientation, That Is the Question.

To investigate the effect of using negatively oriented items, we wrote semantic reversals of the items in the Rosenberg Self Esteem Scale, UCLA Loneliness Scale, and the General Belongingness Scale and used them to create four experimental conditions. Participants (N = 2,019) were recruited through Amazon's Mechanical Turk. Data were assessed for dimensionality, item functioning, instrument properties, and associations with other variables. Regarding dimensionality, although a two-factor model (positively vs. negatively oriented factors) exhibits better fit than a unidimensional model across all conditions, bifactor indices were used to argue that a unidimensional interpretation of the data can be employed. With respect to item functioning, factor loadings were found to be nearly invariant across conditions, but thresholds were not. Concerning instrument properties, inclusion of negatively oriented items results in lower mean scores and higher score variances. Instruments with both positively and negatively oriented items demonstrated lower reliability estimates than those with only one orientation. For associations with other variables, path coefficients in a model where loneliness mediates the effects of belongingness on life satisfaction and self-esteem were found to vary across conditions. Findings suggest that negatively oriented items have minor impact on instrument quality, but influence measurement model and path coefficients.

Sport Specialization and Quality of Life among Middle- and High-School Long-Distance Runners of Different Injury Status: A Retrospective Study.

Running-related injuries are prevalent in adolescent long-distance runners. The aim of our retrospective study was to compare differences in sport specialization, running habits,quality of life, and sleep habits among middle-and high-school long-distance runners of different injury statuses. Middle- and high-school long-distance runners across the United States were recruited via cross-country coaches and athletic directors between January and May 2020. Participants completed an online survey with questions related to demographics, sport specialization, running habits, quality of life, sleep, and self-reported injury history. Overall, 306 participants completed the survey (male = 107, female = 176, unspecified = 23; age = 15.7 ± 1.1 years). Of the participants, 178 (58.2%) reported no history of injury, 101 (33.0%) reported a previous injury, and 27 (8.8%) reported a current injury. Middle- and high-school runners with a current injury reported significantly lower overall health (p= .01) and average distance per run (p = .05) than uninjured runners. No significant differences were found among injury status and sport specialization level, quality of life, sleep habits, or running volume (p> .05). Runners with a self-reported previous or current injury do not appear to be classified as high-specialized runners more frequently than uninjured runners.

Sport Specialization in Middle School and High School Long-Distance Runners.

CONTEXT: Previous reports suggested that highly specialized adolescent athletes may be at a higher risk of injury, worse sleep quality, and less sport enjoyment than low-level specialized athletes. To date, the sport specialization literature has primarily addressed adolescent athletes in a variety of sports. However, whether the findings on sport specialization in predominantly nonrunning athletes are generalizable to adolescent long-distance runners is unknown. OBJECTIVE: To compare injury history, running volume, quality of life, sleep habits, and running enjoyment among male and female middle school and high school long-distance runners at different sport specialization levels. DESIGN: Cross-sectional study. SETTING: Online survey. PATIENTS OR OTHER PARTICIPANTS: A total of 102 male (age = 15.8 ± 0.9 years) and 156 female (age = 15.6 ± 1.4 years) uninjured middle school and high school athletes who participated in long-distance running activities (completion rate = 50.7%). MAIN OUTCOME MEASURE(S): Participants were stratified by sex and sport specialization level (low, moderate, or high). Group differences were assessed in self-reported running-related injuries, running habits, EQ-5D-Y quality of life, Pittsburgh Sleep Quality Index sleep quality, sleep duration, and running enjoyment. RESULTS: Highly specialized male and female middle school and high school long-distance runners reported more months of competition per year (P < .001), higher weekly run distance (P < .001), more runs per week (P < .001), higher average distance per run (P < .001), and greater running enjoyment (P < .001) than low-level specialized runners. Adolescent boys reported a higher average weekly run distance (P = .01), higher average distance per run (P = .01), and better sleep quality (P = .01) than adolescent girls. No differences among sport specialization levels were found for running-related injuries (P = .25), quality of life (P = .07), sleep quality (P = .19), or sleep duration (P = .11) among male or female middle school and high school runners. CONCLUSIONS: Highly specialized male and female middle school and high school long-distance runners reported higher running volumes and running enjoyment than low-level specialized runners. However, high-level specialized runners did not describe a greater number of running-related injuries, lower quality of life, or lower sleep quality or duration as expected.

Measuring Police Officer Self-efficacy for Working with Individuals with Autism Spectrum Disorder.

Autism spectrum disorder (ASD) is currently one of the most researched of all childhood developmental disorders and is receiving attention in many domains. The purpose of this study was to design and provide psychometric evidence for a scale that measures police officer self-efficacy for working with individuals with ASD. Psychometric properties of a scale designed to measure knowledge of ASD were also explored. Data from 620 police officers were collected and a 13-item scale was created and evaluated. Results indicated that the scale represented a unidimensional construct. Knowing more about officers' knowledge and beliefs in their own capabilities to work with individuals with ASD can help inform future police education and training efforts.

Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.

Numerous tutorial publications are available to researchers seeking the procedures needed to analyze longitudinal count response variable data. However, most of the available tutorial publications have drawbacks that limit their usefulness to applied researchers, and to the best of our knowledge, very few publications make both the sample data and the data analysis syntax scripts available to readers to allow an interactive replication of analyses. The purpose of this article is to provide readers a systematic tutorial for analyzing longitudinal count data that involves a discontinuity, or an intervening event that alters the count change trajectory, using multilevel generalized linear mixed models. The longitudinal count data analysis model options and their assumptions, how the linear model equations for each can be used to correctly specify and analyze each model using Mplus or R, how to select the best-fitting longitudinal count model, and how to interpret and present results, are all described. The example data, analysis syntax scripts, and additional files are all available to readers as online supplemental materials. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

An application of a modified theory of planned behavior model to investigate adolescents' job safety knowledge, norms, attitude and intention to enact workplace safety and health skills.

INTRODUCTION: For many reasons, including a lack of adequate safety training and education, U.S. adolescents experience a higher rate of job-related injury compared to adult workers. Widely used social-psychological theories in public health research and practice, such as the theory of planned behavior, may provide guidance for developing and evaluating school-based interventions to prepare adolescents for workplace hazards and risks. METHOD: Using a structural equation modeling approach, the current study explores whether a modified theory of planned behavior model provides insight on 1,748 eighth graders' occupational safety and health (OSH) attitude, subjective norm, self-efficacy and behavioral intention, before and after receiving instruction on a free, national young worker safety and health curriculum. Reliability estimates for the measures were produced and direct and indirect associations between knowledge and other model constructs assessed. RESULTS: Overall, the findings align with the theory of planned behavior. The structural equation model adequately fit the data; most path coefficients are statistically significant and knowledge has indirect effects on behavioral intention. Confirmatory factor analyses suggest that the knowledge, attitude, self-efficacy, and behavioral intention measures each reflect a unique dimension (reliability estimates ≥0.86), while the subjective norm measure did not perform adequately. CONCLUSION: The findings presented provide support for using behavioral theory (specifically a modified theory of planned behavior) to investigate adolescents' knowledge, perceptions, and behavioral intention to engage in safe and healthful activities at work, an understanding of which may contribute to reducing the downstream burden of injury on this vulnerable population-the future workforce. Practical application: Health behavior theories, commonly used in the social and behavioral sciences, have utility and provide guidance for developing and evaluating OSH interventions, including those aimed at preventing injuries and promoting the health and safety of adolescent workers in the U.S., who are injured at higher rates than are adults.

Italian Teachers' Well-Being Within the High School Context: Evidence From a Large Scale Survey.

This paper aims to investigate the relationship between Italian teachers' well-being, socio-demographic characteristics and professional background. Using data from the 2015 wave of the Program for International Student Assessment (PISA) we considered information collected by the questionnaire completed by a total of 6,491 teachers in the sampled schools. Moving from existing literature on teachers' well-being, we investigate several aspects related to the teachers' working environment, career motivation and investment, and job satisfaction. We assess the variability in the observed outcomes attributable to school factors and heterogeneity between disciplines. Measurement models are combined in a multilevel setting in order to define teachers' well-being on a broad perspective while accounting for the multiple sources of heterogeneity due to several factors (e.g., discipline, teacher professional background, and individual differences) occurring at different levels of the data structure. In general, results show that the teachers' positive perception of the working environment in terms of availability of adequate human and physical resources, and professional development opportunities, provide a substantial state of well-being at work, and are related to teachers' job satisfaction. Moreover, results highlight the key role of transformational leadership in defining a teacher's well-being. Findings and implications are discussed.

Using a Modified Theory of Planned Behavior to Examine Teachers' Intention to Implement a Work Safety and Health Curriculum.

BACKGROUND: Workplace safety and health is a major public health concern, but largely absent from the school health curriculum. Little is known about teachers' perceptions of teaching workplace safety and health topics. METHODS: We administered a 41-item questionnaire reflecting the theory of planned behavior, modified to measure knowledge, to 242 middle and high school teachers in career and technical education and academic subjects. We conducted confirmatory factor analysis to assess the measures' psychometric properties and factorial ANOVAs to compare differences among participants' knowledge, attitude toward, self-efficacy, and intention (to teach) workplace safety and health by sex, prior work injury, and main subject taught. RESULTS: Confirmatory factor analyses indicated the measures reflected the theory. Factorial ANOVAs suggested female teachers had statistically significantly lower mean self-efficacy scores than did male teachers to teach workplace safety and health. Male occupational career and technical education teachers demonstrated higher mean knowledge scores than male teachers in other subjects. Participants not injured at work had higher knowledge scores than those who had been injured. CONCLUSION: Self-efficacy (influenced by sex) and knowledge (influenced by subject taught and previous workplace injury) revealed factors that may affect teachers' provision of workplace safety and health education, a critical yet overlooked component of school health.

Can I teach students with Autism Spectrum Disorder?: Investigating teacher self-efficacy with an emerging population of students.

Currently, 1 in 68 children in the U.S. is diagnosed with Autism Spectrum Disorder (ASD; Centers for Disease Control & Prevention, 2015) and this growing population of learners has been noted as one of the most challenging groups to teach. Teacher self-efficacy, the belief teachers hold about their instructional capabilities, has been shown to differ according to contextual factors, such as the type of students teachers face. The purpose of this investigation was to develop an instrument that can used to measure teachers' self-efficacy for effectively working with students with ASD. Study 1 involved the development and evaluation of a new instrument, the Teacher Self-Efficacy for Students with Autism Scale (TSEAS) with a sample of general and special education teachers in the U.S. (N = 120). Study 2 involved a cross-validation of the measure with teachers in Australia (N = 85). Results indicated that the scale represented a unidimensional construct in both studies. Self-efficacy for teaching students with ASD was distinct from, though positively related to, general teaching self-efficacy, job satisfaction, and self-regulation. Using a student-specific teaching self-efficacy measure might provide more useful information for supporting teachers' beliefs for teaching students with ASD.

Comparison of Single-Response Format and Forced-Choice Format Instruments Using Thurstonian Item Response Theory.

One of the most cited methodological issues is with the response format, which is traditionally a single-response Likert response format. Therefore, our study aims to elucidate and illustrate an alternative response format and analytic technique, Thurstonian item response theory (IRT), for analyzing data from surveys using an alternate response format, the forced-choice format. Specifically, we strove to give a thorough introduction of Thurstonian IRT at a more elementary level than previous publications in order to widen the possible audience. This article presents analyses and comparison of two versions of a self-report scale, one version using a single-response format and the other using a forced-choice format. Drawing from lessons learned from our study and literature, we present a number of recommendations for conducting research using the forced-choice format and Thurstonian IRT, as well as suggested avenues for future research.

Using a Modified Theory of Planned Behavior to Examine Adolescents' Workplace Safety and Health Knowledge, Perceptions, and Behavioral Intention: A Structural Equation Modeling Approach.

Work, a defining feature of adolescence in the United States, has many benefits. Work also has risks, as adolescents experience a higher rate of serious job-related injuries compared to adults. Talking Safety, a free curriculum from the National Institute for Occupational Safety and Health, is one tool educators may adopt to provide teens with essential workplace safety and health education. Adolescents (N = 2503; female, 50.1%; Hispanic, 50.0%) in a large urban school district received Talking Safety from their eighth-grade science teachers. This study used a modified theory of planned behavior (which included a knowledge construct), to examine students' pre- and post-intervention scores on workplace safety and health knowledge, attitude, self-efficacy, and behavioral intention to enact job safety skills. The results from confirmatory factor analyses indicate three unique dimensions reflecting the theory, with a separate knowledge factor. Reliability estimates are ω ≥ .83. The findings from the structural equation models demonstrate that all paths, except pre- to posttest behavioral intention, are statistically significant. Self-efficacy is the largest contributor to the total effect of these associations. As hypothesized, knowledge has indirect effects on behavioral intention. Hispanic students scored lower at posttest on all but the behavioral intention measure, possibly suggesting the need for tailored materials to reach some teens. Overall the findings support the use of a modified theory of planned behavior to evaluate the effectiveness of a foundational workplace safety and health curriculum. This study may inform future efforts to ensure that safe and healthy work becomes integral to the adolescent experience.

COMPASS for Hope: Evaluating the Effectiveness of a Parent Training and Support Program for Children with ASD.

Despite the growing number of studies that demonstrate the importance of empowering parents with knowledge and skills to act as intervention agents for their children with autism spectrum disorder (ASD), there are limited examples of parent-mediated interventions that focus on problem behaviors. Additionally, access to ASD-trained clinicians and research supported delivery options for families in rural areas is severely limited. COMPASS for Hope (C-HOPE) is an 8-week parent intervention program that was developed with the option of telehealth or face-to-face delivery. Parents who received C-HOPE intervention reported a reduction in parenting stress and an increase in competence. Parents also reported significant reductions in child behavior problems, both when compared to pre-intervention levels and to a waitlist control condition.

Introduction to bifactor polytomous item response theory analysis.

A bifactor item response theory model can be used to aid in the interpretation of the dimensionality of a multifaceted questionnaire that assumes continuous latent variables underlying the propensity to respond to items. This model can be used to describe the locations of people on a general continuous latent variable as well as on continuous orthogonal specific traits that characterize responses to groups of items. The bifactor graded response (bifac-GR) model is presented in contrast to a correlated traits (or multidimensional GR model) and unidimensional GR model. Bifac-GR model specification, assumptions, estimation, and interpretation are demonstrated with a reanalysis of data (Campbell, 2008) on the Shared Activities Questionnaire. We also show the importance of marginalizing the slopes for interpretation purposes and we extend the concept to the interpretation of the information function. To go along with the illustrative example analyses, we have made available supplementary files that include command file (syntax) examples and outputs from flexMIRT, IRTPRO, R, Mplus, and STATA. Supplementary data to this article can be found online at http://dx.doi.org/10.1016/j.jsp.2016.11.001. Data needed to reproduce analyses in this article are available as supplemental materials (online only) in the Appendix of this article.

Preliminary Study of the Autism Self-Efficacy Scale for Teachers (ASSET).

The purpose of the current study was to evaluate a new measure, the Autism Self-Efficacy Scale for Teachers (ASSET) for its dimensionality, internal consistency, and construct validity derived in a sample of special education teachers (N = 44) of students with autism. Results indicate that all items reflect one dominant factor, teachers' responses to items were internally consistent within the sample, and compared to a 100-point scale, a 6-point response scale is adequate. ASSET scores were found to be negatively correlated with scores on two subscale measures of teacher stress (i.e., self-doubt/need for support and disruption of the teaching process) but uncorrelated with teacher burnout scores. The ASSET is a promising tool that requires replication with larger samples.

A randomized controlled trial of COMPASS web-based and face-to-face teacher coaching in autism.

OBJECTIVE: Most children with autism rely on schools as their primary source of intervention, yet research has suggested that teachers rarely use evidence-based practices. To address the need for improved educational outcomes, a previously tested consultation intervention called the Collaborative Model for Promoting Competence and Success (COMPASS; Ruble, Dalrymple, & McGrew, 2010; Ruble, Dalrymple, & McGrew, 2012) was evaluated in a 2nd randomized controlled trial, with the addition of a web-based group. METHOD: Forty-nine teacher-child dyads were randomized into 1 of 3 groups: (1) a placebo control (PBO) group, (2) COMPASS followed by face-to-face (FF) coaching sessions, and (3) COMPASS followed by web-based (WEB) coaching sessions. Three individualized goals (social, communication, and independence skills) were selected for intervention for each child. The primary outcome of independent ratings of child goal attainment and several process measures (e.g., consultant and teacher fidelity) were evaluated. RESULTS: Using an intent-to-treat approach, findings replicated earlier results with a very large effect size (d = 1.41) for the FF group and a large effect size (d = 1.12) for the WEB group relative to the PBO group. There were no differences in overall change across goal domains between the FF and WEB groups, suggesting the efficacy of videoconferencing technology. CONCLUSIONS: COMPASS is effective and results in improved educational outcomes for young children with autism. Videoconferencing technology, as a scalable tool, has promise for facilitating access to autism specialists and bridging the research-to-practice gap.

Goal attainment scaling as an outcome measure in randomized controlled trials of psychosocial interventions in autism.

Goal attainment scaling (GAS) holds promise as an idiographic approach for measuring outcomes of psychosocial interventions in community settings. GAS has been criticized for untested assumptions of scaling level (i.e., interval or ordinal), inter-individual equivalence and comparability, and reliability of coding across different behavioral observation methods. We tested assumptions of equality between GAS descriptions for outcome measurement in a randomized trial (i.e., measurability, equidistance, level of difficulty, comparability of behavior samples collected from teachers vs. researchers and live vs. videotape). Results suggest GAS descriptions can be evaluated for equivalency, that teacher collected behavior samples are representative, and that varied sources of behavior samples can be reliably coded. GAS is a promising measurement approach. Recommendations are provided to ensure methodological quality.

Replicating and extending the good-enough level model of change: considering session frequency.

The good-enough level (GEL) model posits that the rate of change in psychotherapy is related to the total dose of therapy. The psychotherapy dose-response literature has typically measured dose as number of sessions attended without considering the number of days or weeks it takes to complete the sessions (session frequency). The current study sought to replicate the GEL model and explore if session frequency moderates the influence that the number of sessions has on the rate of change in psychotherapy. An archived naturalistic data set with a US university counseling center sample (n=1,207), with treatment progress measured using the Outcome Questionnaire-45 (Lambert et al., 1996), was used. Our results are consistent with the GEL model (i.e., clients who attended fewer sessions evidenced faster rates of change), but extended it by showing that the rate of change was also influenced by session frequency (i.e., clients who attended more sessions on average per week demonstrated more rapid improvement). Evidence suggests that clinicians and researchers should give consideration to session frequency, both in their work with clients and how "dose" is operationalized in psychotherapy research.