A Variable Selection Algorithm for Creating Replicable Factor Structures.

Exploratory and confirmatory factor analyses are commonly employed to identify and explore underlying factor structures. Unfortunately, when variable selection is involved, results often fluctuate across studies making it difficult to determine the "best" and most replicable factor structure. This study proposes a new factor analysis variable selection algorithm called the Replicable Factor Analytic Solutions (RFAS) that incorporates sound statistical and psychometric practices when selecting the final factor structure, while simultaneously examining the observed variables and factor structures replicability. This article outlines the algorithm development and rationale for each decision in the algorithm's development. An example using simulated and empirical data is also provided to display the algorithm results and delineate the utility of these results for future analysts.

Pathways by which case managers' match support influences youth mentoring outcomes: Testing the systemic model of youth mentoring.

Keller's systemic model of youth mentoring posits there are multiple pathways through which all stakeholders in the youth mentoring process, including the program staff who support the match (or case managers), influence youth outcomes. This study examines case managers' direct and indirect contributions to match outcomes and tests how transitive interactions facilitate a theorized sequence of mentoring interactions to effect greater closeness and length, specifically in nontargeted mentoring programs. A structural equations model of case manager contributions to match outcomes was tested using data from 758 mentor-mentee matches, supported by 73 case managers across seven mentoring agencies. Results reveal direct effects of mentor-reported match support quality on match length and indirect influences on match length through increasing youth-centeredness, goal-focused orientation, and closeness. The findings confirm the presence of multiple pathways of influence, including indirect effects on outcomes via transitive interactions in match support that scaffold youth-centeredness and goal-focused interactions in the match. Findings also suggest supervisors' evaluations of case managers may provide little information about how match support influences the nature of mentor-mentee interactions.

Selecting the "Best" Factor Structure and Moving Measurement Validation Forward: An Illustration.

Despite the broad literature base on factor analysis best practices, research seeking to evaluate a measure's psychometric properties frequently fails to consider or follow these recommendations. This leads to incorrect factor structures, numerous and often overly complex competing factor models and, perhaps most harmful, biased model results. Our goal is to demonstrate a practical and actionable process for factor analysis through (a) an overview of six statistical and psychometric issues and approaches to be aware of, investigate, and report when engaging in factor structure validation, along with a flowchart for recommended procedures to understand latent factor structures; (b) demonstrating these issues to provide a summary of the updated Posttraumatic Stress Disorder Checklist (PCL-5) factor models and a rationale for validation; and (c) conducting a comprehensive statistical and psychometric validation of the PCL-5 factor structure to demonstrate all the issues we described earlier. Considering previous research, the PCL-5 was evaluated using a sample of 1,403 U.S. Air Force remotely piloted aircraft operators with high levels of battlefield exposure. Previously proposed PCL-5 factor structures were not supported by the data, but instead a bifactor model is arguably more statistically appropriate.

The search for causal inferences: using propensity scores post hoc to reduce estimation error with nonexperimental research.

While experimental designs are regarded as the gold standard for establishing causal relationships, such designs are usually impractical owing to common methodological limitations. The objective of this article is to illustrate how propensity score matching (PSM) and using propensity scores (PS) as a covariate are viable alternatives to reduce estimation error when experimental designs cannot be implemented. To mimic common pediatric research practices, data from 140 simulated participants were used to resemble an experimental and nonexperimental design that assessed the effect of treatment status on participant weight loss for diabetes. Pretreatment participant characteristics (age, gender, physical activity, etc.) were then used to generate PS for use in the various statistical approaches. Results demonstrate how PSM and using the PS as a covariate can be used to reduce estimation error and improve statistical inferences. References for issues related to the implementation of these procedures are provided to assist researchers.

Reliability of COVID-19 data: An evaluation and reflection.

IMPORTANCE: The rapid proliferation of COVID-19 has left governments scrambling, and several data aggregators are now assisting in the reporting of county cases and deaths. The different variables affecting reporting (e.g., time delays in reporting) necessitates a well-documented reliability study examining the data methods and discussion of possible causes of differences between aggregators. OBJECTIVE: To statistically evaluate the reliability of COVID-19 data across aggregators using case fatality rate (CFR) estimates and reliability statistics. DESIGN, SETTING, AND PARTICIPANTS: Cases and deaths were collected daily by volunteers via state and local health departments, as primary sources and newspaper reports, as secondary sources. In an effort to begin comparison for reliability statistical analysis, BroadStreet collected data from other COVID-19 aggregator sources, including USAFacts, Johns Hopkins University, New York Times, The COVID Tracking Project. MAIN OUTCOMES AND MEASURES: COVID-19 cases and death counts at the county and state levels. RESULTS: Lower levels of inter-rater agreement were observed across aggregators associated with the number of deaths, which manifested itself in state level Bayesian estimates of COVID-19 fatality rates. CONCLUSIONS AND RELEVANCE: A national, publicly available data set is needed for current and future disease outbreaks and improved reliability in reporting.

Development and psychometric evaluation of the Milwaukee Psychotherapy Expectations Questionnaire.

The Milwaukee Psychotherapy Expectations Questionnaire (MPEQ) was developed to measure clients' expectations about the components and effects of therapy. Items were generated rationally based upon the theoretical literature and existing expectancy measures. An exploratory factor analysis revealed a 2-factor solution, comprised of Process Expectations and Outcome Expectations, which was supported by confirmatory factor analyses in three additional samples. The measure demonstrated good internal consistency and test-retest reliability, along with support for convergent, discriminant, and predictive validity. These results present initial evidence for the utility of the MPEQ in assessing both process and outcome expectations in therapy.

Building a Healthy Temple diabetes self-management education support program in Hispanic faith community settings: A cluster randomized controlled trial.

Diabetes self-management is key to preventing diabetes complications disproportionately affecting Hispanics. Church appears a promising setting for delivering a diabetes self-management education support (DSMES) program. "Faith-placed" (FP) programing refers to health interventions implemented in the church setting; while "faith-based" (FB) signifies integrating spirituality with health interventions. The Building a Health Temple (BHT) DSMES program integrates spirituality with DSMES to improve diabetic outcomes. This cluster-randomized trial tests the effectiveness of BHT DSMES by adapting an existing DSMES program into faith-based context. A total of 360 participants will be recruited from 18 churches (~20 participants/church). Churches will be randomly assigned to either the FB or FP intervention arm. Intervention activities will be implemented over 14 consecutive weeks. Participants in the FB arm will participate in BHT DSMES including a Health Sermon, the Self-Management Resource Center (SMRC) Diabetes Self-Management Program (DSMP), and a 7-session Healthy Bible Study, delivered by two trained church lay health leaders. Participants in the FP arm will attend the same SMRC DSMP facilitated by outside health professional, followed by a 7-session community health and safety curriculum as a partial attention control intervention. The primary outcome will be a change in Hemoglobin A1c (HbA1c) level. Secondary outcomes include: changes in body mass index, waist circumference, diabetes distress score, diabetes self-care behaviors, eating behavior, and physical activity level. Data will be collected at baseline, 6, 9, and 12 months during the study period. The proposed study will lead to innovative DSMES program delivery through faith settings for Hispanic persons with diabetes.

Comparing the squared multiple correlation coefficients of non-nested models: an examination of confidence intervals and hypothesis testing.

The performance of the asymptotic method for comparing the squared multiple correlations of non-nested models was investigated. Specifically, the increase in a given regression model's R2 when one predictor is added was compared to the increase in the same model's R2 when another predictor is added. This comparison can be used to determine predictor importance and is the basis for procedures such as Dominance Analysis. Results indicate that the asymptotic procedure provides the expected coverage rates for sample sizes of 200 or more, but in many cases much higher sample sizes are required to achieve adequate power. Guidelines and computations are provided for the determination of adequate sample sizes for hypothesis testing.

Cystic fibrosis disclosure may minimize risk of negative peer evaluations.

BACKGROUND: Given the relatively lower body weight associated with cystic fibrosis (CF) and the visible regimen associated with eating, there is a risk that individuals with CF may be mistakenly perceived to have an eating disorder or otherwise be negatively evaluated. Based upon a theoretical model, this study explored whether disclosing CF would curtail negative peer perceptions. METHODS: Young adult respondents (N = 391) read vignettes that varied in a 2 (male vs. female character) x 2 (preventative disclosure of disorder vs. nondisclosure) design and answered 28 questions, which resulted in three subscales that were validated using confirmatory factor analysis: Abnormal Behavior, Hiding an Eating Disorder, and Worry. Vignettes depicted a lunchtime interaction including concerns about gaining weight and taking enzymes before eating. RESULTS: Disclosure of CF significantly reduced perceptions of abnormal behavior, ameliorated perceptions of an eating disorder, and alleviated respondents' worries. Manipulations of vignette character gender did not result in any significant differences; however, female respondents reported significantly more worry for the character than males. CONCLUSIONS: Individuals who disclose their CF may potentially curtail negative peer perceptions. Those who choose not to disclose may risk having their thinness and appropriate self-care misperceived as signs of an eating disorder.

Impact of diabetes disclosure on perceptions of eating and self-care behaviors.

PURPOSE: This study investigated whether disclosure of diabetes and gender influenced perceptions of eating and self-care behaviors. METHODS: A vignette was developed in which a hypothetical friend engaged in diabetes self-care behaviors during a meal. Respondents (231 young adults) read vignettes that varied according to a 2 x 2 design (male vs female, preventative disclosure vs nondisclosure of diabetes). Participants answered 12 questions, which resulted in 2 factors: concern for friend and encourage professional help. RESULTS: Significantly higher scores resulted on the concern for friend and encourage professional help factors when diabetes was not disclosed. Female characters also received significantly higher scores on the concern for friend factor. CONCLUSIONS: Individuals with diabetes who choose to disclose their illness may prevent negative or incorrect perceptions related to self-care and eating behaviors, and may have a decreased likelihood that a true eating disorder would be identified by others.

Responses to climate and economic risks and opportunities across national and ecological boundaries: changing household strategies on the Mongolian plateau.

Climate changes on the Mongolian Plateau are creating new challenges for the households and communities of the region. Much of the existing research on household choices in response to climate variability and change focuses on environmental risks and stresses. In contrast, our analysis highlights the importance of taking into account environmental and economic opportunities in explaining household adaptation choices. We surveyed over 750 households arrayed along an ecological gradient and matched across the national border in Mongolia and the Inner Mongolia Autonomous Region, China, asking what changes in livelihoods strategies households made over the last ten years, and analyzed these choices in two broad categories of options: diversification and livestock management. We combined these data with remotely sensed information about vegetation growth and self-reported exposure to price fluctuations. Our statistical results showed that households experiencing lower ecological and economic variability, higher average levels of vegetation growth, and with greater levels of material wealth, were often those that undertook more actions to improve their conditions in the face of variability. The findings have implications both for how interventions aimed at supporting ongoing choices might be targeted and for theory construction related to social adaptation.

A Comparative Investigation of Rotation Criteria Within Exploratory Factor Analysis.

Exploratory factor analysis (EFA) is a commonly used statistical technique for examining the relationships between variables (e.g., items) and the factors (e.g., latent traits) they depict. There are several decisions that must be made when using EFA, with one of the more important being choice of the rotation criterion. This selection can be arduous given the numerous rotation criteria available and the lack of research/literature that compares their function and utility. Historically, researchers have chosen rotation criteria based on whether or not factors are correlated and have failed to consider other important aspects of their data. This study reviews several rotation criteria, demonstrates how they may perform with different factor pattern structures, and highlights for researchers subtle but important differences between each rotation criterion. The choice of rotation criterion is critical to ensure researchers make informed decisions as to when different rotation criteria may or may not be appropriate. The results suggest that depending on the rotation criterion selected and the complexity of the factor pattern matrix, the interpretation of the interfactor correlations and factor pattern loadings can vary substantially. Implications and future directions are discussed.

Brief report: parent perceptions of hypoglycemic symptoms of youth with diabetes; disease disclosure minimizes risk of negative evaluations.

OBJECTIVE: Based on a theoretical model, this study explored the effects that the disclosure of diabetes has on parental perceptions of a hypothetical child experiencing hypoglycemia. METHODS: Parents (N = 610) first read vignettes that varied in a 2 x 2 design (Male vs. Female Character x Preventative Disclosure of Illness vs. Nondisclosure) and then answered several questions regarding the hypothetical child, resulting in four subscales that were validated using confirmatory factor analysis. RESULTS: Disclosure of diabetes significantly increased perceptions of a medical problem, decreased suspicions of drug use, and presented a lower risk of parental restrictions on future contact with their child. CONCLUSIONS: Individuals who disclose their diabetes may prevent negative social consequences and restrictions on social contact. Those who choose not to disclose may risk having a hypoglycemic event perceived as a drug or alcohol problem, which may ultimately interfere with appropriate medical intervention in a hypoglycemic event.