Modeling Heterogeneity in Indirect Effects: Multilevel Structural Equation Modeling Strategies

The heterogeneity implicit in much of social science research can be accommodated by using complex modeling procedures such as SEM or MLM. Ignoring heterogeneity, particularly with regard to nested data structures, can have serious consequences for model estimation and lead to incorrect conclusions about tested hypotheses. In mediation models, the consequences of ignoring nesting can have a substantial impact on the indirect effect. Inflated standard errors and bias in the parameter estimates lead to inaccurate estimates of the indirect effect, as well as reduced power to detect the effect. Using multilevel structural equation modeling (MSEM), data were generated based on a cross-lagged panel model for mediation. By fitting a single-level model to the data, the consequences for the estimation and detection of the indirect effect when heterogeneity is ignored is examined through measures of relative bias, power, and model fit

Applications of Exploratory Q-Matrix Discovery Procedures in Diagnostic Classification Models

Diagnostic Classification Models (DCM) use a Q-matrix to determine which skills are required to correctly answer items on large-scale assessments. DCMs are fit under the assumption that the Q-matrix is correctly specified. Misspecification of the Q-matrix is problematic for several reasons; problems with model convergence, poor model fit, and inflated model parameters. The current study examines the use of probabilistic estimation of the Q-matrix for cognitive diagnosis modeling in order to allow for uncertainty to help shape the construction of the Q-matrix. Two DCMs, the DINA and the DINO, were estimated for common reading comprehension tests using an EM algorithm and the goodness of fit was checked. Models using a probabilistic Q-matrix showed better fit and lower slip and guess parameters, suggesting that the probabilistic model provided more accurate Q-matrix specification and more accurate prediction of examinee skills

A path analysis of reading comprehension for adults with low literacy

Adult literacy interventions often rely on models of reading validated with children or adult populations with a broad range of reading. Such models do not fully satisfy the need for intervention research and development for adults with low literacy. Thus, the authors hypothesized that a model representing the relationship between reading component skills would be predictive of reading comprehension for an adult population with low literacy and beneficial to adult literacy researchers. Using data from 174 adults participating in adult basic education and secondary education programs, the authors performed a path analysis of component skills’ contribution to reading comprehension. The findings are clear that existing reading models do not describe this population. The implications are discussed in terms of instructional and curricular interventions.National Institute of Child Health and Human Development; National Institute for Literacy; and U.S. Department of Education Office of Vocational and Adult Education (Award #RO 1 HD 43775

Assessment and Instruction of Oral Reading Fluency Among Adults with Low Literacy

We statistically examined 295 low-literacy adults’ oral reading fluency measured by total word and word error rates with connected prose. Based on four fluency ability groupings in relation to standardized assessments of reading-related skills (e.g., phonemic awareness, word recognition, vocabulary, comprehension, and general ability) the results suggest that adults that read at comparable correct word rates vary significantly in the number of total words and word errors. These differences were independent of assessed general ability level. Total word and word error rates, thus, offer a picture of learner reading ability that can help instructors emphasize instruction in deficit reading components

Working Healthy Enrollees Report New and Persisting Challenges

Working Healthy participants are sent an annual satisfaction survey to evaluate their experiences with the program. Participants have consistently said that Working Healthy is a good program that allows them to work and maintain their health benefits, which reduces their stress and eliminates worry about whether or not they will be able to afford the health care and medication they need. Working Healthy not only benefits the state through premium collection and increased taxes paid, participants say it improves their mental health and quality of lif

Dispositional factors affecting motivation during learning in adult basic and secondary education programs

The final publication is available at Springer via http://dx.doi.org/10.1007/s11145-012-9413-4.Research indicates that about a quarter of adult students separate from formal adult basic and secondary education (ABE/ASE) programs before completing one educational level. This retrospective study explores individual dispositional factors that affect motivation during learning, particularly students’ goals, goal-directed thinking and action based on hope theory and attendance behaviors, and self-perceptions of competency based on affective domain attributions about external and internal obstacles to learning and employment, and demographic factors. Among 274 ABE/ASE students, those learners who made an education gain in 1 year significantly differed from those who did not in only a few dispositional or demographic variables; and by educational level they significantly differed in a wide variety of dispositional and demographic variables. These findings suggest researchable questions and programmatic considerations that may lead to future innovations that improve learner persistence

Discrepancy among Behavioral Risk Factor Surveillance System, Social Security, and functional disability measurement

This article was published as a Brief, without the abstract.The Affordable Care Act (ACA) of 2010 (P.L. 111-148) Section 4302 requires the development of federal standards for the measurement of disability status in order to monitor health disparities and quality of care among this population. The validity and reliability of disability measurement instruments are important to all those who will use these data. The construct validity of BRFSS disability items is examined using a sample of adults who met the more stringent SSA definition of disability and compared to a seven-part functional disability question. Findings show that among 368 working-age adults with SSA-determined disabilities, the BRFSS disability questions had a sensitivity of 80.7%; 19.3% would not have been included in the state’s BRFSS disability prevalence estimate.Kansas Health Policy Authority (#KHPA2007-055

Reading profiles for adults with low-literacy: Cluster analysis with power and speeded measures

The United States’ National Institute for Literacy’s (NIFL) review of adult literacy instruction research recommended adult education (AE) programs assess underlying reading abilities in order to plan appropriate instruction for low-literacy learners. This study developed adult reading ability groups using measures from power tests and speeded tests of phonemic decoding, word recognition, fluency, and comprehension. A multiple cluster analysis of these reading ability scores from 295 low-literacy AE participants yielded seven reading ability groups. These groups are described in terms of instructional needs relevant to an instructor’s planning and activities.National Institute of Child Health and Human Development; National Institute for Literacy; U.S. Department of Education Office of Vocational and Adult Education (Award # RO 1 HD 43775)

Large-scale genome-wide association studies and meta-analyses of longitudinal change in adult lung function.

BACKGROUND: Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function. METHODS: We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis. RESULTS: The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P  =  5.71 × 10(-7)). In addition, meta-analysis using the five cohorts with ≥3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P  =  2.18 × 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively. CONCLUSIONS: In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function

Development of an amplicon-based sequencing approach in response to the global emergence of mpox

The 2022 multicountry mpox outbreak concurrent with the ongoing Coronavirus Disease 2019 (COVID-19) pandemic further highlighted the need for genomic surveillance and rapid pathogen whole-genome sequencing. While metagenomic sequencing approaches have been used to sequence many of the early mpox infections, these methods are resource intensive and require samples with high viral DNA concentrations. Given the atypical clinical presentation of cases associated with the outbreak and uncertainty regarding viral load across both the course of infection and anatomical body sites, there was an urgent need for a more sensitive and broadly applicable sequencing approach. Highly multiplexed amplicon-based sequencing (PrimalSeq) was initially developed for sequencing of Zika virus, and later adapted as the main sequencing approach for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Here, we used PrimalScheme to develop a primer scheme for human monkeypox virus that can be used with many sequencing and bioinformatics pipelines implemented in public health laboratories during the COVID-19 pandemic. We sequenced clinical specimens that tested presumptively positive for human monkeypox virus with amplicon-based and metagenomic sequencing approaches. We found notably higher genome coverage across the virus genome, with minimal amplicon drop-outs, in using the amplicon-based sequencing approach, particularly in higher PCR cycle threshold (Ct) (lower DNA titer) samples. Further testing demonstrated that Ct value correlated with the number of sequencing reads and influenced the percent genome coverage. To maximize genome coverage when resources are limited, we recommend selecting samples with a PCR Ct below 31 Ct and generating 1 million sequencing reads per sample. To support national and international public health genomic surveillance efforts, we sent out primer pool aliquots to 10 laboratories across the United States, United Kingdom, Brazil, and Portugal. These public health laboratories successfully implemented the human monkeypox virus primer scheme in various amplicon sequencing workflows and with different sample types across a range of Ct values. Thus, we show that amplicon-based sequencing can provide a rapidly deployable, cost-effective, and flexible approach to pathogen whole-genome sequencing in response to newly emerging pathogens. Importantly, through the implementation of our primer scheme into existing SARS-CoV-2 workflows and across a range of sample types and sequencing platforms, we further demonstrate the potential of this approach for rapid outbreak response.This publication was made possible by CTSA Grant Number UL1 TR001863 from the National Center for Advancing Translational Science (NCATS), a component of the National Institutes of Health (NIH) awarded to CBFV. INSA was partially funded by the HERA project (Grant/ 2021/PHF/23776) supported by the European Commission through the European Centre for Disease Control (to VB).info:eu-repo/semantics/publishedVersio