Content Overlap Research Articles

CPA Evolution and Curriculum Revolution: Building Value in the Accounting Profession Through CPA and CISA Dual Certification

ABSTRACT Accounting programs are tasked with reviewing the extent of curriculum modifications necessary due to CPA Evolution. We believe CPA Evolution creates an opportunity for accounting programs to build value and marketability for students through a specific dual certification that pairs the CPA certification with the Information Systems and Controls (ISC) Discipline, and the Certified Information Systems Auditor (CISA) certification (i.e., CPA-ISC/CISA dual certification). We discuss benefits of this dual certification to students, programs, and other stakeholders; key background information; and CISA exam and CPA-ISC Discipline exam content overlap. Additionally, we provide a curriculum framework at both the undergraduate and graduate levels to coordinate both foundational knowledge for all CPA-bound students and specialized knowledge for the CPA-ISC/CISA dual certification. Finally, we discuss constraints programs may encounter when providing a CPA-ISC/CISA dual certification preparatory path and ways programs can address them.

Measuring functioning and disability in Korea: comparing general and dedicated surveys using the ICF

Abstract Background Functioning is the third health indicator besides mortality and morbidity. Although Korea periodically collects functioning information, the functioning indicator has not been generated yet. This study aimed to evaluate how functioning information is currently collected in Korea’s health and disability surveys, especially in terms of comparability and comprehensiveness, using the International Classification of Functioning, Disability and Health (ICF) as a reference framework. Methods Data sources included three health and disability surveys in Korea (Population and Housing Census, Korean National Health and Nutrition Examination Survey, Survey on the Living condition of Persons with Disabilities) and two international ICF-based surveys (International Spinal Cord Injury Survey, Model Disability Survey). Functioning information was linked by category to the ICF Generic-30 Set utilizing the ICF linking rules. Results Three ICF categories (walking, washing oneself, dressing) were covered by all the data sources. Excluding the Census, which inherently differs from the other data sources, all the surveys addressed six ICF categories-b152 emotional functions; b280 sensation of pain; d240 handling stress and other psychological demands; d450 walking; d510 washing oneself; d540 dressing. Despite of the common ICF categories, important differences in the operationalization of questions and response options were found. Conclusions The overlap of content of health and disability surveys in Korea enables interoperability with other data sources. Available functioning data can be used for estimating the functioning indicator and metric, as recommended by WHO, which can serve as a valuable epidemiological indicator for complementing mortality and morbidity indicators and for estimating and monitoring rehabilitation or long-term care needs of the Korean population. Key messages • Korea’s health and disability surveys periodically collect functioning information at the national level, and the level of overlap across surveys enables interoperability with other data sources. • This study can contribute to generate a Korean common health metric based on functioning that can serve as a valuable epidemiological indicator by utilizing the international standard ICF.

Constructing a picture of fatigue in the context of cancer: assessment of construct overlap in common fatigue scales.

Individuals diagnosed with cancer experience multiple inter-related short- and long-term side effects. Chief among such symptomology is cancer-related fatigue (CRF), which, if left unmanaged, can become chronic and result in increased disability and healthcare utilization. A growing number of self-report scales have been developed to measure CRF symptoms based on various theoretical conceptualizations with the aim of promoting targeted assessment and intervention efforts. It may be, however, unwise to assume that the various measures are conceptually similar (i.e., that they assess for the same constructs). Accordingly, we aimed to characterize item content among nine self-report scales, using a Jaccard index to quantify content overlap among scales. We characterized construct assessment among nine self-report scales recommended to assess CRF by a recent clinical practice guideline, and used a Jaccard index to quantify content overlap among scales. Analysis of 208 items across nine rating scales resulted in 20 distinct symptoms of CRF assessed. The most common symptoms were energy level (captured in all nine scales), cognitive function, impaired task performance (in eight scales), sleepiness, and physical function (in seven scales). Mean overlap among all scales was low (Jaccard index = 0.455). Only one construct (duration of fatigue; 5.0%) was captured by a single scale, and one symptom (energy level; 5.0%) was common across all scales. The PFS, MFSI, and BFI each captured at least one symptom from each of the NCCN domains of CRF. CRF scales are heterogeneousin the content they measure, critically impairing integration of knowledge across studies using disparate scales. Future work is urgently needed to build more integrated theoretical and/or computational models of CRF based on relevant mechanisms.

Towards real-time myocardial infarction diagnosis: a convergence of machine learning and ion-exchange membrane technologies leveraging miRNA signatures.

Rapid diagnosis of acute myocardial infarction (AMI) is crucial for optimal patient management. Accurate diagnosis and time of onset of an acute event can influence treatment plans, such as percutaneous coronary intervention (PCI). PCI is most beneficial within 3 hours of AMI onset. MicroRNAs (miRNAs) are promising biomarkers, with potential of early AMI diagnosis, since they are released before cell death and subsequent release of larger molecules [e.g., cardiac troponins (cTn)], and have greater sensitivity and stability in plasma versus cTn regardless of timing of AMI onset. However, miRNA-based AMI diagnosis can result in false positives due to miRNA content overlap between AMI and stable coronary artery disease (CAD). Accordingly, we explored the possibility of using a miRNA profile, rather than a single miRNA, to distinguish between CAD and AMI, as well as different stages following AMI onset. First we screened a library of 800 miRNA using plasma samples from 4 patient cohorts; no known CAD, CAD, ST-segment elevation myocardial infarction (STEMI) and STEMI followed by PCI, using Nanostring miRNA profiling technology. From this screening, based on machine learning SCAD and Lasso algorithms, we identified 9 biomarkers (miR-200b, miR-543, miR-331, miR-3605, miR-301a, miR-18a, miR-423, miR-142, and miR-132) that were differentially expressed in CAD, STEMI and STEMI-PCI and explored them to identify a miRNA profile for rapid and accurate AMI diagnosis. These 9 miRNAs were selected as the most frequently identified targets by SCAD and Lasso, as indicated in the "drum-plot" model in the machine learning approach. We used age-matched patient samples to validate selected 9 miRNA biomarkers using a multiplexed ion-exchange membrane-based miRNA sensor platform, which measures specific miRNAs, and cTn as a control, simultaneously as a point-of-care device. Findings from this study will inform timely and accurate diagnosis of AMI and its stages, which are essential for effective management and optimal patient outcomes.

Analytics: What Do Business Majors Need and Where Do They Get It?

Analytical skills are important for all business majors. Because of the statistical underpinnings, statisticians are a natural fit for the delivery of these skills. Unfortunately, there is a lack of common understanding of what skills and competencies are needed. This article has two primary objectives: determine how business analytics course offerings delineate course content (i.e., where statistical and analytical topics are currently offered in business disciplines); and determine the industry analytical needs of various business domains. We performed two phases of analysis. First, we collected course listings and descriptions from the top thirty undergraduate and graduate business programs in the United States to determine what analytics courses are currently offered. Second, we collected industry data to determine what skills are needed across business disciplines based on job postings that identify analytics. Our results indicate there is some overlap of content between current courses. We also find that there are varying analytical skills and competencies needed in other business domains based on job postings. These results can help guide the structure of analytics offerings in business schools.

Quantifying Western Discourses about Technology

In this article, we explore the social impact of technology in contemporary societies using a dataset of multilingual newspapers in English, French, Spanish, Italian, and German. Our observational time covers twenty years (1999-2018). We filter documents using four technological key terms: nuclear, oil, internet, and automation, that we consider as proxies reflecting Smil 2006 taxonomy of technology. Our methodology is formed by a five-step pipeline: Topic modelling (Pachinko Allocation), word embeddings, Ward’s hierarchical cluster analysis, network analysis, and sentiment analysis. We analyze information stability (which we define as low levels of semantic diversity in our data outcomes over time at the individual key term level) and information homogeneity (which we understand as low levels of semantic diversity in our data outcomes across our selection of key terms). We seek to observe to what extent our selection of key terms permeates into press discourses similarly or differently, and whether those discourses fall into semantic categories that could be considered as essential elements of the fabric of contemporary societies (such as finance, education, or politics). Results show, firstly, a consistent overlap of content across newspapers’ semantic fields that could be considered as pillars of society. Secondly, we notice a progressive simplification of information historically, reflecting less polarizing views across countries and, therefore, demonstrating an increasing agreement on technologically related discourses. We interpret these results as an indicator of the rising intrusion of technology in Western, industrialized countries.

Examining the overlap between tinnitus and depression questionnaires-protocol for an ICF based content analysis.

Tinnitus is a common phenomenon with an estimated prevalence of 14.4% in the adult population. The experienced severity of tinnitus varies significantly among this population. Psychological factors have been identified as major contributors to this perceived severity, and numerous studies have demonstrated a correlation between symptoms of depression and tinnitus severity. However, the assessment of tinnitus severity and depressive symptoms often relies on self-report questionnaires, which show content overlap. This can pose challenges in distinguishing both conditions and interpreting their relationship. To address these challenges, the proposed study aims to examine the overlap between tinnitus and depressive symptom questionnaires by analyzing their content based on the International Classification of Functioning, Disability and Health (ICF) framework. Six validated, multi-item, self-report questionnaires measuring perceived tinnitus severity (THI, TQ, mTQ, THQ, TRQ, TFI) and seven validated, multi-item, self-report, depressive symptom questionnaires (BDI-II, HADS-D, SDS, PHQ-9, CES-D, SCL-90-R depression subscale, DASS-42 depression subscale) will be included in the content analysis. The content of all items of these questionnaires will be linked to ICF categories and item overlap between the tinnitus and depressive symptom questionnaires will be analyzed. By exploring the overlap between depression and tinnitus questionnaires, this study seeks to gain a better understanding of the relationship between tinnitus and depression, by distinguishing between shared content and independent constructs of symptom scores and shedding light on the factors influencing their measured severity. Ethical approval is not required for this study, due to the characteristics of the study design. Findings will be disseminated through peer-reviewed open access publication and scientific conferences.

Limited content overlap between commonly used self-report instruments for central (pain) sensitization in rheumatology.

Central pain mechanisms may be prominent in a considerable subset of rheumatology patients with persistent pain. Several self-report instruments have been used in previous research to infer the presence and severity of central sensitization (CS) that stem from different definitions or approaches of CS. The current study aimed to evaluate and quantify the overlap of actual symptoms measured among self-report measures of CS in rheumatology. We used Fried's (2017) comprehensive systematic approach to analyse the content of five commonly used or typical self-report measures (Generalized Pain Questionnaire, Pain Sensitivity Questionnaire, Central Sensitization Inventory, Central Aspects of Pain in the Knee scale and the painDETECT) used in rheumatology research and to visualize and quantify the overlap in symptoms measured. The five instruments together measured 39 different symptoms, most of which could be grouped into nociplastic pain manifestations (7 symptoms), neuropathic pain qualities (5 symptoms), and psychosomatic symptoms and emotional distress (25 symptoms). Most symptoms (74.4%) were unique to a single instrument. Thermal allodynia was the most frequently measured symptom across the different instruments, assessed in four of the measures. Average content overlap was very low and ranged from no overlap at all to moderate overlap (Jaccard index = 0.43) between pairs of instruments. There is high heterogeneity and limited overlap in the content of self-report measures used to infer central pain sensitization. This may lead to results that are specific to the particular instrument and may limit the generalizability and comparability of study findings in rheumatology research.

Dispositional optimism, sleep, and trait affective mediators: A latent variable approach

Dispositional optimism has been shown to be associated with better sleep. However, most existing studies rely on subjective assessments of sleep, which may not align with objective assessments of sleep. Additionally, research investigating the mechanisms underlying the association between optimism and sleep is lacking. Moreover, the confounding role of possible content overlap in measures relevant to the constructs of interest has been neglected. To address these gaps, we utilised latent variable analysis and investigated the mediating role of depression and trait anxiety across two large-scale studies (total N = 2312), with objective sleep measures included in Study 2. In Study 1 (N = 1010), a significant and medium association was found between optimism and better subjective sleep. Here, depression emerged as a robust mediator. In Study 2, both objective (N = 742) and subjective (N = 1302) sleep measures were analysed. Findings revealed a small and significant association between optimism and better subjective sleep, which was mediated by depression. However, optimism was not associated with objective sleep. Trait anxiety was a non-significant mediator in both studies. The current study suggests that the association between dispositional optimism and subjective sleep outcomes do not translate to similar results with objective sleep.

Analyzing Misinformation Claims During the 2022 Brazilian General Election on WhatsApp, Twitter, and Kwai

Abstract This study analyzes misinformation claims sent to fact-checking organizations on WhatsApp during the 2022 Brazilian general election and compares them with content from Twitter and Kwai (a popular video-sharing application similar to TikTok). Given the democratic importance of accurate information during elections, multiple fact-checking organizations collaborated to collect and respond to misinformation via WhatsApp tiplines and power a fact-checking feature within a chatbot operated by Brazil’s election authority, the Tribunal Superior Eleitoral (TSE). We partnered with TSE and three fact-checking organizations and collected social media data to study how misinformation claims propagate across platforms. We observed little overlap between the users of different fact-checking tiplines and a high correlation between the number of users and the amount of unique content, suggesting that WhatsApp tiplines are far from reaching a saturation point. Similarly, we also found little overlap in content across platforms, indicating the need for further research with cross-platform approaches to identify misinformation dynamics.

A Blueprint of IR Evaluation Integrating Task and User Characteristics

Traditional search result evaluation metrics in information retrieval, such as MAP and NDCG, naively focus on topical relevance between a document and search topic and assume this relationship as mono-dimensional and often binary. They neglect document content overlap and assume gains piling up as the searcher examines the ranked list at greater length. We propose a novel search result evaluation framework based on multidimensional, graded relevance assessments, explicit modelling of document overlaps and attributes affecting document usability beyond relevance. Document relevance to a search task is seen to consist of several content themes and document usability attributes. Documents may also overlap regarding their content themes. Attributes such as document readability, trustworthiness, or language represent the entire document’s usability in the search task context, for a given searcher and her motivating task. The proposed framework evaluates the quality of a ranked search result, taking into account the contribution of each successive document, with estimated overlap across themes, and usability based on its attributes.

The balance of evidence on 100% juice & health: A systematic umbrella review of meta-analyses

Fruit and vegetable intakes are major modifiable determinants of risk for non-communicable disease(1), yet intake levels remain low(2) and multiple barriers (cost, access, perishability, preparation skills) exist(3,4). 100% fruit and vegetable juices contain key micronutrients and bioactive compounds (5–7) and may help circumvent these barriers to consumption(6,7). However, their role in dietary guidelines and models of healthy eating remains controversial due to their free sugars and reduced dietary fibre content, relative to whole fruits and vegetables(6,7). Therefore, we conducted a systematic umbrella review of systematic literature reviews (SLRs) with meta-analyses assessing the relationships between 100% juice consumption and human health outcomes. Four databases (Medline, Cochrane Library, EMBASE, and CINAHL) were systematically searched for SLRs with meta-analyses of human prospective cohort, case-control, and intervention studies examining the relationship between 100% juice and any health outcome through to 20th October 2022. Screening (Covidence), quality (GRADE)(8), risk of bias (ROBIS)(9) and content overlap (corrected covered area(10)) tools were applied, and extracted data were narratively synthesised. The protocol was pre-registered (PROSPERO) and conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklists. 15 SLRs on 100% fruit juice including 51 primary meta-analyses, 6 dose-response analyses, and 87 sub-analyses were eligible for inclusion. No eligible studies on vegetable juice were found. Included studies represented data from almost 2 million subjects with a range of doses (50-1200mL/day) and timeframes (hours to years). Significant improvements in health outcomes were found in 19.6% of included meta-analyses (blood pressure, flow-mediated dilation, IL-6, c-reactive protein, and stroke mortality), and increased disease risks were found in 5.9% of included meta-analyses (CVD mortality, prostate cancer, and type II diabetes). The remainder (74.5%) found no significant difference (blood lipids, weight, liver function, metabolic markers, colorectal and breast cancers, and multiple inflammatory markers). The ROBIS quality assessment rated nine SLRs as low risk of bias, three as unclear and three as high. Using GRADE, confidence in the body of evidence ranged from very low (27 primary and 79 secondary meta-analyses) to low (19 primary and 13 secondary meta-analyses), and medium (4 primary and one secondary meta-analyses.) Findings show 100% juice consumption has limited risks of harm and some potential benefits, over a broad range of doses, including some that are relatively high, and time periods. The positive associations between 100% juice consumption and specific health outcomes relevant to population health may be explained by multiple mechanisms, including the vitamin, mineral, and bioactive contents. The balance of evidence suggests that 100% may have a neutral or beneficial place in general, population-level dietary guidelines.

초등학교 발명영재 교육내용 표준 개발에 관한 연구

This study aims to systematize and modernize the educational content for gifted inventions, originally developed in 2011, by reflecting on the changes in the educational landscape. Given that the majority of gifted students are in elementary school and considering the results of a demand survey among those in charge of invention-gifted education institutions, the scope of this study was limited to developing content standards for elementary school students in the 5th and 6th grades. The study involved an analysis of the educational content of 131 invention-gifted education institutions nationwide in 2022 and a survey of 23 elementary invention-gifted education experts. The goal was to guide the revision of the elementary invention-gifted education content standards in 2023. The revision primarily aimed to balance the number of standards across major content areas and to reflect industry demands and national-level curriculum guidelines. This research process led to the formulation of the 2023 elementary school gifted-invention education content standards. The new standards consist of 5 major areas—understanding of inventions, inventions and society, inventions and convergence, invention problem solving, and inventions and intellectual property—and 23 standards. The 23 standards were further distributed across four areas of understanding inventions, four areas of invention and society, five areas of invention and convergence, six areas of solving invention problems, and four areas of invention and intellectual property. In addition, a total of 139 achievement standards for each level were presented. The results suggest that the revised standards are expected to mitigate differences in the quality of gifted education stemming from variations in educational conditions due to factors such as teachers and regions while also preventing the overlap of gifted-invention education content between elementary and middle schools.

Low Overlap and High Heterogeneity Across Common Measures of Eating Disorder Pathology: A Content Analysis.

This study evaluated symptoms assessed in common measures of eating disorder pathology and tested overlap to evaluate the extent to which measures may be interchangeable. Six measures were included: Bulimia Test-Revised, Eating Attitudes Test-26, Eating Disorder Diagnostic Scale, Eating Disorder Examination Questionnaire, Eating Pathology Symptoms Inventory, and Questionnaire for Eating Disorder Diagnoses. Content overlap was quantitatively estimated using the Jaccard Index. Mean overlap was low (.195), likely due to the wide range of symptoms (87) assessed. The mean overlap of each measure with all others was .117 - .267, and the overlap among individual measures was .083 - .382. Implications of low overlap among measures include variable characterization of eating disorder phenotypes and the risk for lower generalizability of findings due to measurement variability.

Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms?

Obstructive sleep apnea (OSA) is a heterogeneous condition covering many clinical phenotypes in terms of the diversity of symptoms. Patient-based OSA screening questionnaires used in routine practice contain significantly varying contents that can impact the reliability and validity of the screening. We investigated to what extent common patient-based OSA screening questionnaires differ or overlap in their item content by conducting a rigorous, methodical, and quantified content overlap analysis. We conducted an item content analysis of 11 OSA screening questionnaires validated in adult populations and characterized their overlap using a 4-step approach: (1) selection of OSA screening questionnaires, (2) item extraction and selection, (3) extraction of symptoms from items, and (4) assessment of content overlap with the Jaccard index (from 0, no overlap, to 1, full overlap). We extracted 72 items that provided 25 distinct symptoms from 11 selected OSA questionnaires. The overlap between them was weak (mean Jaccard index: 0.224; ranging from 0.138 to 0.329). All questionnaires contained symptoms of the "OSA symptom" dimension (eg, snoring or witnessed apneas). The STOP-BANG (0.329) and the Berlin (0.280) questionnaires exhibited the highest overlap content. Ten symptoms (40%) were investigated in only 1 questionnaire. The heterogeneity of content and the low overlap across these questionnaires reflect the challenges of screening OSA. The different OSA questionnaires potentially capture varying aspects of the disorder, with the risk of biased results in studies. Suggestions are made for better OSA screening and refinement of clinical OSA phenotypes. Gauld C, Baillieul S, Martin VP, etal. Symptom content analysis of OSA questionnaires: time to identify and improve relevance of diversity of OSA symptoms? J Clin Sleep Med. 2024;20(7):1105-1117.

Coping Power-Rural: Iterative Adaptation of an Evidence-Based Preventive Intervention for Rural Upper Elementary and Middle Schools

BackgroundEducators in rural schools are uniquely situated to address youth mental health disparities, yet often face challenges in delivering mental health supports. This paper describes the process of adapting the evidence-based Coping Power program, a small group prevention program for youth with aggressive behavior problems, to be a two-tiered (Tier 1 and Tier 2), transdiagnostic intervention to improve fit and feasibility for rural upper elementary and middle schools.MethodIdentified challenges with the Coping Power program for rural areas included program length, substantial staffing and resource requirements, lack of universal programming, low caregiver engagement, and co-occurring problems. Initial adaptations included a classroom and small group format implemented by school staff, teacher consultations integrated into coaching and co-facilitation, and a technology-supported caregiver component. Implementer feedback forms, coaching notes, and individual interviews informed the iterative development and feasibility testing process.ResultsBetween 2019 and 2023, thirteen schools across six rural districts implemented the program. Student curriculum revisions included order and relative emphasis of content, classroom and small group overlap, necessary simplification of concepts, improved contextualization to the rural setting, and the addition of student workbooks. Supports for implementers included fully developed lesson plans and slides, a comprehensive implementation manual, video lesson overviews, action-focused training, and a 3-session coaching model to support implementer preparation and sustain motivation. Teacher and caregiver infographic text “nudges” were improved to promote generalization of concepts across settings.DiscussionBy partnering with school-based implementers, the adapted program holds promise to be more feasible and appealing for rural schools than the original model. This fully developed program is now ready for larger-scale testing in rural schools.

Working out measurement overlap in the assessment of maladaptive exercise.

Although exercise is generally considered healthy, many individuals engage in maladaptive exercise (e.g., compulsive in nature). Several definitions of maladaptive exercise exist, leading to multiple, varied assessment tools; assuming homogeneity across these assessments contributes to low consensus in etiological models. We used a Jaccard Index to quantify content overlap among 15 commonly-used self-report instruments measuring maladaptive exercise, with 31 features identified across 224 items. The most common features were exercise to control weight/shape and to avoid negative affect (both included in 9/15 instruments), or compensate for calories consumed (8/15 instruments). Overlap among instruments was low (.206) and no features were common across all instruments. Findings generally support theoretical models of exercise in eating pathology. However, instruments most commonly used to assess maladaptive exercise measure heterogenous content. Careful consideration should be taken when comparing findings derived from differing instruments, when synthesizing literature on maladaptive exercise, and when selecting instruments to measure specific maladaptive exercise features. Many, varied, tools exist for the assessment of maladaptive exercise (e.g., compulsive or compensatory) in the context of eating disorders. Assuming homogeneity across tools contributes to low consensus in the field. We used a Jaccard Index to quantify content overlap among 15 self-report instruments measuring maladaptive exercise. The most commonly used instruments measure heterogenous content. Careful consideration should be taken when synthesizing literature and selecting instruments to use in research.

A Content Overlap Analysis of bilingualism questionnaires: Considering diversity

Abstract Bilingualism is a multifaceted experience that researchers have examined using various questionnaires to gain insights and characterize the experience. However, there are several issues related to questionnaire choice. To address this, we applied Content Overlap Analysis to seven prevalent bilingualism questionnaires, assessing their affinity. We found little overlap in these questionnaires; most had fewer than 15% of items in common, suggesting they capture different aspects of the bilingual experience and provide complementary rather than redundant data for researchers. Our investigation highlights the importance of choosing a bilingualism assessment tool to carefully fit research questions and sample language experiences.

Stereotypes about Muslims in the Netherlands: An Intersectional Approach

We relied on a content analysis of freely generated stereotypes about Muslims and Muslim-majority immigrant groups from a representative sample of Dutch natives. Building on intersectionality theory and stereotype prototypicality, we hypothesized and found that ethnic-group stereotypes more accurately reflect stereotypes of ethnic-minority men compared with ethnic-minority women and that stereotypes of ethnic-minority women contain more unique elements that do not overlap with either stereotypes about the gender group or stereotypes about the general ethnic group. We also examined the overlap between stereotypes about Muslims and those associated with Turks, Moroccans, Somalis, and Syrians in the Netherlands. The overlap in stereotype content was largest with Turks and Moroccans, the two largest and most long-established Muslim immigrant groups in the Netherlands. Overall, our results demonstrate the importance of an intersectional approach to stereotypes based on gender and ethnicity and of distinguishing between different ethnic groups in research about Muslims.

Comparing the reliability and validity of youth-reported checklists and standardized interviews for categorical measurement of emotional and behavioral problems.

Self-completed checklists measuring youth mental health problems produce dimensional scale scores and can be converted to categorical classifications representing the presence/absence of psychopathology. We test whether categorical classifications from scale scores are equivalent psychometrically to categorical classifications of the same problems obtained by lay-administered standardized structured diagnostic interviews. The sample of n = 325 youth aged 12-18 (44% male) and their parent/caregivers come from combined test-retest reliability studies conducted in Ontario, Canada, from 2011 to 2015. Ontario Child Health Study Emotional Behavioural Scales-Brief Version (OCHS-EBS-B)scores converted to categorical classifications of emotional and behavioral problems were compared with interview classifications. We test hypotheses of statistical equivalence and inferiority, using a confidence interval approach to detect if differences lie within the smallest effect size of interest of ±0.18. We compare categorical classifications on: (1) test-retest reliability (ҡ), (2) content validity (between-instrument agreement), and (3) construct validity (strength of association with three mental health-related constructs). Average test-retest reliabilities were 0.695 (checklists) and 0.670 (interviews). The reliability of checklist emotional problem classifications was not inferior to interview classifications and the difference in reliability between instruments for behavioral problems was small (-0.036). Average between-instrument agreement was ҡ = 0.586 (observed) and ҡ = 0.841 (corrected for attenuation due to measurement error) indicating high content overlap. Statistical equivalence criteria were met in 5 of 6 construct validity comparisons. Categorical classifications of emotional and behavioral problems from youth-reported checklists are, on balance, equivalent to interview classifications. Checklists represent a simple, brief, inexpensive alternative to interviews.