Polychoric Correlations Research Articles

Development and psychometric properties of an instrument to measure perception of aphrodisiac use among undergraduates in a southwestern Nigerian university.

A tool to measure perception of aphrodisiac use by undergraduates students of University of Ibadan, Oyo State, Nigeria was developed and validated. The study was hinged on several theories that could explain potential to use aphrodisiac among the youths. An exploratory mixed methods design was used to develop a scale to measure perception of aphrodisiac use by undergraduate students of University of Ibadan. Qualitative data collection was performed among thirty equally represented male and female students and five key informant interview participants while 919 participants completed the quantitative phase (surveys). Integration of matched qualitative themes from FGD/KII to survey domains was achieved through the 'building approach'. Qualitative themes assessing perceptions of aphrodisiac use by university undergraduate students were used to develop original survey items as well as new survey items peculiar to research subjects. Exploratory factor analysis was deployed on polychoric correlation matrix of the items using R-statistical packages. Further model fit analysis was conducted using confirmatory factor analysis on the items suggested by EFA as well as composite reliability and construct validity tests for the constructs. Mean Z-scores of factors were computed against socio-demographics and symptoms of aphrodisiac use among respondents that have ever used it. Most respondents (84.3%) were under 25 years, mostly male (58.4%) and singles (96.3%), with 41.3% earning ≤20,000 naira monthly. The enhanced content validity of the items from mixed method analysis yielded two major domains. Two succession of factor analyses and a structural equation modeling suggested that a first-order model is good fit for experimental data (TLI = 0.931; CFI = 0.948; SRMR = 0.047; RMSEA = 0.083). The four-factor solution to the model included: prolonged sexual performance, use without erectile dysfunction or medical advice, treatment of erectile dysfunction and recreational purposes with an internal and composite reliability that ranged from 0.62-0.92 and 0.63-0.92. The validation with socio-demographics and consequences of aphrodisiac use indicated that: Male respondents, those older than 20years, the married, those from poorly educated parent and sufferers of all related consequences had statistically significant differences with poor perception of aphrodisiac use' domains. This validated instrument is good for assessment of perception of aphrodisiac use among students in tertiary institution albeit with caution. A version of the scale that is broadened with highly refined items and tested for high internal validity is suggested.

Factor retention in ordered categorical variables: Benefits and costs of polychoric correlations in eigenvalue-based testing

An essential step in exploratory factor analysis is to determine the optimal number of factors. The Next Eigenvalue Sufficiency Test (NEST; Achim, 2017) is a recent proposal to determine the number of factors based on significance tests of the statistical contributions of candidate factors indicated by eigenvalues of sample correlation matrices. Previous simulation studies have shown NEST to recover the optimal number of factors in simulated datasets with high accuracy. However, these studies have focused on continuous variables. The present work addresses the performance of NEST for ordinal data. It has been debated whether factor models – and thus also the optimal number of factors – for ordinal variables should be computed for Pearson correlation matrices, which are known to underestimate correlations for ordinal datasets, or for polychoric correlation matrices, which are known to be instable. The central research question is to what extent the problems associated with Pearson correlations and polychoric correlations deteriorate NEST for ordinal datasets. Implementations of NEST tailored to ordinal datasets by utilizing polychoric correlations are proposed. In a simulation, the proposed implementations were compared to the original implementation of NEST which computes Pearson correlations even for ordinal datasets. The simulation shows that substituting polychoric correlations for Pearson correlations improves the accuracy of NEST for binary variables and large sample sizes (N = 500). However, the simulation also shows that the original implementation using Pearson correlations was the most accurate implementation for Likert-type variables with four response categories when item difficulties were homogeneous.

Factors Associated With Suicide Risk Behavior Outcomes Among Black Middle School Adolescents

Early adolescent self-identifying Black youth present with high rates of suicidality. This study assesses associations among 7 explanatory variables (sex, weapon carrying, weight perceptions, grades, grade level, bullying at school, and cyberbullying) and suicide ideation, planning, and attempts, and identifies associations with suicidality as a composite measure among a sample of Black middle school adolescents (BMSA) in the United States. Data were extracted from the 2019 Middle School Youth Risk Behavior Survey. Descriptive statistics were calculated, and associations between suicide ideation, planning, and attempts were explored. A network graphical representation of polychoric and tetrachoric correlations across suicidality outcomes and explanatory variables was performed. A multivariable, multinomial logistic regression model estimated associations among explanatory variables and suicide ideation (with and without planning) and planning (with and without ideation). Both suicide attempt and a composite suicidality metric were explored using independent logistic models with multiple imputation. The sample included 7,643 self-identifying BMSA. Our findings indicate that approximately 28% reported suicidality. Prevalence rates were found of about 1 in 4 BMSA for suicidal ideation, 1 in 6 for suicidal planning, and 1 in 10 for attempting suicide. Female BMSA, victims of cyberbullying, and BMSA carrying a weapon experienced significantly higher odds of all suicidality outcome measures. Practical implications for identifying and screening suicidality among BMSA to guide suicide prevention efforts are necessary. Findings validate the need for informed cultural approaches to suicide screening and prevention efforts to reduce suicide risk outcomes, especially when identifiable environmental factors are strongly associated with those outcomes. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list.

An Initial Psychometric Evaluation of a Novel Upper Extremity Pediatric Stroke Hemiplegic Motor Impairment Scale

BackgroundOur team designed an innovative, observation-based motor impairment measure—the Pediatric Stroke Hemiplegic Motor Impairment Scale (Pedi HEMIs). Here we present the results of a survey describing common practices in the pediatric stroke community and the initial psychometric properties of the upper extremity subscale of the Pedi HEMIs (Pedi HEMIs-UE). MethodsThis is a cross-sectional study whereby participants completed a battery of assessments including the novel Pedi HEMIs-UE. Internal consistency was measured via Cronbach alpha (α). Intraclass correlation (ICC) was used to assess inter-rater reliability (IRR). Concurrent validity was investigated using Pearson or polychoric correlations and simple linear regressions. ResultsThe study sample consisted of 18 children aged 1.08 to 15 years. Two participants completed two sets of evaluations, totaling 20 data sets. Cronbach α, a measure of internal consistency, was on average 0.91 (range: 0.89 to 0.92). IRR was excellent with the six raters in almost perfect agreement (ICC = 0.91; 95% confidence interval [CI]: 0.83 to 0.96). Pearson correlation coefficient between the Pedi HEMIs-UE and logit Assisting Hand Assessment (AHA)/mini-AHA was −0.938 (95% CI: −0.979 to −0.827, P < 0.001), indicating excellent concurrent validity. ConclusionsWe found excellent feasibility, reliability, and validity of the Pedi HEMIs-UE in a convenience sample of youth with hemiparesis after stroke.

Familial aggregation and heritability of childhood-onset and adult-onset type 1 diabetes: a Swedish register-based cohort study

Type 1 diabetes in children is known to be highly heritable, but much less is known about the heritability of adult-onset type 1 diabetes. Thus, our objective was to compare the familial aggregation and heritability of type 1 diabetes in adults and children. This Swedish nationwide register-based cohort study included individuals born from Jan 1, 1982, to Dec 31, 2010, identified through the Medical Birth Register who were linked to their parents, full siblings, half siblings, and cousins through the Multi-Generation Register (MGR). We excluded multiple births, deaths within the first month of life, individuals who could not be linked to MGR, or individuals with contradictory information on sex. Information on diagnoses of type 1 diabetes was retrieved by linkages to the National Diabetes Register and National Patient Register (1982-2020). Individuals with inconsistent records of diabetes type were excluded. We estimated the cumulative incidence and hazard ratios (HRs) of type 1 diabetes in adults (aged 19-30 years) and children (aged 0-18 years) by family history of type 1 diabetes and the heritability of adult-onset and childhood-onset type 1 diabetes based on tetrachoric correlations, using sibling pairs. 2 943 832 individuals were born in Sweden during the study period, 2 832 755 individuals were included in the analysis of childhood-onset type 1 diabetes and 1 805 826 individuals were included in the analysis of adult-onset type 1 diabetes. 3240 cases of adult-onset type 1 diabetes (median onset age 23·4 years [IQR 21·1-26·2]; 1936 [59·7%] male and 1304 [40·2%] female) and 17 914 cases of childhood-onset type 1 diabetes (median onset age 9·8 years [6·2-13·3]; 9819 [54·8%] male and 8095 [45·2%] female) developed during follow-up. Having a first-degree relative with type 1 diabetes conferred an HR of 7·21 (95% CI 6·28-8·28) for adult-onset type 1 diabetes and 9·92 (9·38-10·50) for childhood-onset type 1 diabetes. The HR of developing type 1 diabetes before the age 30 years was smaller if a first-degree relative developed type 1 diabetes during adulthood (6·68 [6·04-7·39]) rather than during childhood (10·54 [9·92-11·19]). Similar findings were observed for type 1 diabetes in other relatives. Heritability was lower for adult-onset type 1 diabetes (0·56 [0·45-0·66]) than childhood-onset type 1 diabetes (0·81 [0·77-0·85]). Adult-onset type 1 diabetes seems to have weaker familial aggregation and lower heritability than childhood-onset type 1 diabetes. This finding suggests a larger contribution of environmental factors to the development of type 1 diabetes in adults than in children and highlights the need to identify and intervene on such factors. Swedish Research Council, the Swedish Research Council for Health, Working Life and Welfare, Swedish Diabetes Foundation, and the China Scholarship Council.

Age-related macular degeneration discordance in monozygotic twin pairs.

To examine age-related macular degeneration (AMD) and retinal pigment epithelium (RPE)-Bruch's membrane (BrM) complex volume associations in monozygotic twin pairs. In this study, 106 elderly twins (53 twin pairs) from the Finnish Twin Cohort study were recruited. Each participant underwent dilated 35-degree digital colour fundus photography (CFP), and spectral domain optical coherence tomography (OCT) and replied to a structured study questionnaire. The CFPs were graded according to the Age-Related Eye Disease Study (AREDS) classification. The OCT images were segmented and volumetric data of the RPE-BrM complex volume was calculated with the Orion™ software. The worse eye according to AREDS classification was used for the analysis. Twenty-nine (55%) of the twin pairs were discordant with regard to AREDS classification. Fourteen (26%) pairs were discordant with one twin participant having AMD (AREDS 2-4) and the other being unaffected (AREDS 1). Four (8%) pairs had one twin participant with intermediate or late AMD (AREDS 3-4) versus the other being unaffected (AREDS 1). The within-pair polychoric correlation for AREDS was 0.605 (95% confidence interval 0.418-0.792). In multivariate analysis intermediate and late AMD as well as age associated with RPE-BrM complex volume. RPE-BrM complex volume showed a within twin pair correlation, r = 0.430 (95% confidence interval 0.172-0.688, p < 0.01). A substantial proportion of monozygotic twin pairs are discordant with regard to age-related macular degeneration phenotype. RPE-BrM complex volume associated with age and intermediate and late AMD.

Translation and validation of ageism scale for dental students into Malay language.

Identifying ageism among dental students is essential in gerodontology courses. This study aimed to perform a preliminary validation of a Malay version of the ageism scale for dental students (ASDS-My). The 27-item ASDS were translated into Malay language and completed by 168 dental students. Exploratory factor analysis (EFA) with Promax rotation, Polychoric Correlation Matrix and Principal Axis Factoring was conducted. Internal consistency reliability and discriminative validity were analysed. Criterion validity was measured by comparing ASDS-My with Fraboni Scale of Ageism (FSA). A Kaiser-Meyer-Olkin of 0.612 and a Bartlett's Test of Sphericity yielding p<.001 confirmed the adequate factorability. EFA revealed a 15-items scale distributed into five-factors explaining 54.5% of overall variance, with acceptable reliability. The two factors involved cost-benefit of dental treatment on older patients and challenges during medical history taking. The third, fourth and fifth factors explained attitude towards older patients, negative views of older patients and exposure of dental students to Gerodontology training and experiences respectively. Most factors were significantly positively related to FSA. Discriminative validity revealed significant differences for gender, place of stay and year of study. Preliminary validation of the ASDS-My produced a five-factors 15-items scale with acceptable validity and reliability.

Strong YKL-40 expression in the invasive tumor front of colorectal cancer–A pilot study

Тhe poor prognosis of patients initially diagnosed at an advanced stage of colorectal cancer (CRC) and the heterogeneity within the same tumor stage define the need for additional predictive biomarkers. Tumor buds are proposed as a poor prognostic factor for CRC, however, they are still not implemented into routine pathology reporting. In turn, the chitinase-3-like protein 1 (CHI3L1) also known as YKL-40, is regarded as a candidate circulating biomarker and therapeutic target in CRC. The aim of our study was to investigate tissue YKL-40 localization and tumor budding in CRC. Thirty-one CRC patients and normal colonic tissues were examined. The correlation between YKL-40 levels, tumor budding and clinocopathological parameters was evaluated by polychoric correlation analysis. The immunohistochemical assessment revealed high YKL-40 expression in CRC in contrast to normal mucosa. Specifically, intense YKL-40 staining was detected in the front of tumor invasion compared with tumor parenchyma and noncancerous tissue. We present novel data for increased YKL-40 expression in tumor buds within the front of tumor invasion. We assume that the combination of this morphological parameter with the tissue level of the pleotropic YKL-40 glycoprotein could serve as a future prognostic biomarker for CRC stratification and treatment.

Utility of the 3Di short version in the identification and diagnosis of autism in children at the Kenyan coast.

The precise epidemiological burden of autism is unknown because of the limited capacity to identify and diagnose the disorder in resource-constrained settings, related in part to a lack of appropriate standardised assessment tools and health care experts. We assessed the reliability, validity, and diagnostic accuracy of the Developmental Diagnostic Dimensional Interview (3Di) in a rural setting on the Kenyan coast. Using a large community survey of neurodevelopmental disorders (NDDs), we administered the 3Di to 2,110 children aged between 6 years and 9 years who screened positive or negative for any NDD and selected 242 who had specific symptoms suggestive of autism based on parental report and the screening tools for review by a child and adolescent psychiatrist. On the basis of recorded video, a multi-disciplinary team applied the Autism Diagnostic Observation Schedule to establish an autism diagnosis. Internal consistency was used to examine the reliability of the Swahili version of the 3Di, tetrachoric correlations to determine criterion validity, structural equation modelling to evaluate factorial structure and receiver operating characteristic analysis to calculate diagnostic accuracy against Diagnostic Statistical Manual of Mental Disorders (DSM) diagnosis. The reliability coefficients for 3Di were excellent for the entire scale {McDonald's omega (ω) = 0.83 [95% confidence interval (CI) 0.79-0.91]}. A higher-order three-factor DSM-IV-TR model showed an adequate fit with the model, improving greatly after retaining high-loading items and correlated items. A higher-order two-factor DSM-5 model also showed an adequate fit. There were weak to satisfactory criterion validity scores [tetrachoric rho = 0.38 (p = 0.049) and 0.59 (p = 0.014)] and good diagnostic accuracy metrics [area under the curve = 0.75 (95% CI: 0.54-0.96) and 0.61 (95% CI: 0.49-0.73] for 3Di against the DSM criteria. The 3Di had a moderate sensitivity [66.7% (95% CI: 0.22-0.96)] and a good specificity [82.5% (95% CI: 0.74-0.89)], when compared with the DSM-5. However, we observed poor sensitivity [38.9% (95% CI: 0.17-0.64)] and good specificity [83.5% (95% CI: 0.74-0.91)] against DSM-IV-TR. The Swahili version of the 3Di provides information on autism traits, which may be helpful for descriptive research of endophenotypes, for instance. However, for accuracy in newly diagnosed autism, it should be complemented by other tools, e.g., observational clinical judgment using the DSM criteria or assessments such as the Autism Diagnostic Observation Schedule. The construct validity of the Swahili 3Di for some domains, e.g., communication, should be explored in future studies.

Tackling Challenges in Data Pooling: Missing Data Handling in Latent Variable Models with Continuous and Categorical Indicators

Data pooling is a powerful strategy in empirical research. However, combining multiple datasets often results in a large amount of missing data, as variables that are not present in some datasets effectively contain missing values for all participants in those datasets. Furthermore, data pooling typically leads to a mix of continuous and categorical items with nonnormal multivariate distributions. We investigated two popular approaches to handle missing data in this context: (1) applying direct maximum likelihood by treating data as continuous (con-ML), and (2) applying categorical least squares using a polychoric correlation matrix computed from pairwise deletion (cat-LS). These approaches are available for free and relatively straightforward for empirical researchers to implement. Through simulation studies with confirmatory factor analysis and latent mediation analysis, we found cat-LS to be unsuitable for pooled data analysis, whereas con-ML yielded acceptable performance for the estimation of latent path coefficients barring severe nonnormality.

Reported father involvement and indicators of subjective well-being in transition to adulthood

ABSTRACT This study examined the possibility of predicting the indicators of adolescents’ subjective well-being (satisfaction with life and frequency of positive and negative experiencing) based on the reported father involvement, which was the reason for verifying the factor structure and examine the psychometric properties of the Slovak version of the Reported Father Involvement Scale (R-FIS) in adolescents. The research sample consisted of 400 students (290 girls), aged 15 to 18 years (M = 16.51, SD = 1.06). Regarding the Slovak version of the R-FIS, the results of the reliability (McDonald’s ω) estimation were acceptable. The CFA (using polychoric correlations, DWLS method) results supported the 1-factor structure of the scale, which was used in further analyses. The results of the analyses confirmed our expectations, since the father involvement, when controlling for the intervening variables (gender, age, and cohabitation with the father), proved to be one of the significant predictors of subjective well-being indicators.

Unraveling the path: assessing compliance and impact of accounting education in Libya with IES 3 standards on students' academic performance

PurposeThis study aims to investigate the extent of compliance of university accounting programs in Libya with the International Education Standard (IES 3) and the extent of the impact of the skills included in programs of accounting education in Libya aligned with IES 3 requirements on students' academic performance and then to identify factors that can hinder the implementation of professional skills in accounting education in Libya.Design/methodology/approachA questionnaire was prepared and circulated among accounting graduates from public universities in Libya. A total of 116 useable responses were received from many of these universities. An exploratory factor analysis based on a pairwise polychoric correlation matrix was carried out to validate the scale. Also, it applies the regression analysis for a robustness check.FindingsThe findings indicate that the skills included in accounting education programs in Libya partially comply with the instructions of IES 3 (Intellectual, Interpersonal and Communication, Personal and Organizational). They provide empirical evidence that the accounting education program in Libya is a partial tool for implementing professional skills in accounting education in Libya. The findings of this study also show that there is no statistically significant relationship between the skills included in programs of accounting education in Libya aligned with IES 3 requirements and the academic performance of students.Practical implicationsFindings may help the government, higher education officials and accounting faculty members in Libya pay more attention to accounting education to improve its effectiveness and meet the requirements of IES 3. Therefore, it fills an information gap in the accounting literature by investigating university accounting programs and their compliance with IES 3 in Libya, a context that is still poorly understood.Originality/valueLittle is known about accounting education in the Middle East and North African (MENA) countries, where the literature shows that little research has been conducted on accounting students in the countries of this region, particularly in Libyan universities.

DETERMINANTS OF OCCUPATIONAL HEALTH AND SAFETY IN THE FOCUS OF WELDERS

The welding industry is known for having significant occupational health risks. For this reason, the occupational hazards of welders have been previously examined by many researchers in the literature. However, the traditional hazards-outcomes focused analyses do not show the big picture in which occupational health and safety (OHS) is neglected due to global competitive conditions. Therefore, it may be important to define the determinants of OHS that deepen inequalities, especially in developing countries. This study aimed to evaluate the relationship between OHS indicators and OHS determinants among welders in a developing country. In this descriptive study, the data were collected from 88 welders by telephone interview. Health outcomes were also confirmed from clinical records. In addition to the indicators of OHS, independent variables such as education level, sector, business size, union membership, security, wage, weekly working hours, etc were investigated in the study. According to the results, the work accident rate was higher in welders who started their careers as a child. Leading OHS indicators were found to be significantly worse in the working environments of those with low education, low wages, workers in the private sector and who are non-unionized. Additionally, a positive correlation was found between being unionised and high education level, high socioeconomic development (SED) level, business size, and working in the public sector. There was a negative correlation between union membership and weekly working hours. Since the concept of OHS is related to many factors, working life should be considered from a holistic perspective.

Network analysis of pandemic fatigue symptoms in samples from five South American countries.

Pandemic fatigue generates low motivation or the ability to comply with protective behaviors to mitigate the spread of COVID-19. This study aimed to analyze the symptoms of pandemic fatigue through network analysis in individuals from five South American countries. A total of 1,444 individuals from Argentina, Bolivia, Paraguay, Peru, and Uruguay participated and were evaluated using the Pandemic Fatigue Scale. The networks were estimated using the ggmModSelect estimation method and a polychoric correlation matrix was used. Stability assessment of the five networks was performed using the nonparametric resampling method based on the case bootstrap type. For the estimation of network centrality, a metric based on node strength was used, whereas network comparison was performed using a permutation-based approach. The results showed that the relationships between pandemic fatigue symptoms were strongest in the demotivation dimension. Variability in the centrality of pandemic fatigue symptoms was observed among participating countries. Finally, symptom networks were invariant and almost identical across participating countries. This study is the first to provide information on how pandemic fatigue symptoms were related during the COVID-19 pandemic.

Correlation of Cyclic Threshold Values Generated by GeneXpert Ultra MTB/RIF and Fluorescence Microscopy to Predict Mycobacterial Burden in Suspected Cases of Pulmonary Tuberculosis.

Smear microscopy for acid-fast bacilli visualization is important to assess the infectivity rate in patients with pulmonary tuberculosis (PTB), but it has limited sensitivity; hence, it is important to find an alternative strategy. The aim of our study was to compare the fluorescence microscopy grading by Auramine O phenol staining technique of respiratory samples with the cyclic threshold (Ct) values of GeneXpert Ultra (Mycobacterium tuberculosis/rifampicin [MTB/RIF]) and assess the diagnostic efficacy of GeneXpert Ultra (MTB/RIF) compared to microscopy in suspected cases of PTB. The study was conducted in the Mycobacteriology Laboratory, Department of Microbiology, in Kasturba Hospital, Manipal. The study was a prospective, single-centered, cross-sectional study. Four hundred and fifty-two respiratory samples were included in the study. An optimal Ct cutoff value for ruling smear-positivity and smear-negativity and the mean Ct cutoff value were calculated. Clinical and radiological data from the requisition forms were assessed. IBM SPSS statistics software version 22 was used. The correlation between GeneXpert Ultra (MTB/RIF) Ct values and smear status was calculated by polychoric correlation. The extended McNemar's test was used to find the association between the variables. GeneXpert Ultra (MTB/RIF) yielded a higher positivity rate of 22.2% compared to smear microscopy 17.2%. Ct value and smear grading yielded a positive correlation (P = 0.8681; P < 0.05). GeneXpert Ultra (MTB/RIF) yielded nontuberculous mycobacteria in five undetected cases and speciated as Mycobacterium abscessus complex. Our study confirms the GeneXpert Ultra (MTB/RIF) Ct value levels as a predictor of smear positivity.

The Oxford Needle Experience (ONE) scale: a UK-based and US-based online mixed-methods psychometric development and validation study of an instrument to assess needle fear, attitudes and expectations in the general public

ObjectivesTo develop and validate the Oxford Needle Experience (ONE) scale, an instrument to assess needle fear, attitudes and expectations in the general population.DesignCross-sectional validation study.SettingInternet-based with participants in the UK...

Understanding Health, Subjective Aging, and Participation in Social Activities in Later Life: A Regional Finnish Survey.

To understand health and well-being in later life, it is vital to consider the meaning of subjective aging. This study aimed to explore how perceived health, self-perceptions of aging, and participation in social activities relate to each other among older persons in the Bothnia region and Åland islands in Finland. Data were analyzed using Spearman's and polychoric correlation and multinomial logistic regression analyses. The perceived good health and the younger physical, psychological, and social dimensions of subjective age were found to be associated with each other and with participation in social activities outside one's home.

Comparing estimation methods for psychometric networks with ordinal data.

Ordinal data are extremely common in psychological research, with variables often assessed using Likert-type scales that take on only a few values. At the same time, researchers are increasingly fitting network models to ordinal item-level data. Yet very little work has evaluated how network estimation techniques perform when data are ordinal. We use a Monte Carlo simulation to evaluate and compare the performance of three estimation methods applied to either Pearson or polychoric correlations: extended Bayesian information criterion graphical lasso with regularized edge estimates ("EBIC"), Bayesian information criterion model selection with partial correlation edge estimates ("BIC"), and multiple regression with p-value-based edge selection and partial correlation edge estimates ("MR"). We vary the number and distribution of thresholds, distribution of the underlying continuous data, sample size, model size, and network density, and we evaluate results in terms of model structure (sensitivity and false positive rate) and edge weight bias. Our results show that the effect of treating the data as ordinal versus continuous depends primarily on the number of levels in the data, and that estimation performance was affected by the sample size, the shape of the underlying distribution, and the symmetry of underlying thresholds. Furthermore, which estimation method is recommended depends on the research goals: MR methods tended to maximize sensitivity of edge detection, BIC approaches minimized false positives, and either one of these produced accurate edge weight estimates in sufficiently large samples. We identify some particularly difficult combinations of conditions for which no method produces stable results. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Determinants of adherence to treatment in patients with ophthalmic conditions

ABSTRACTBackgroundThe objective of this study was to identify and determine factors associated with patients’ ophthalmic adherence in common ocular conditions from randomized clinical trials (RCT).Research design methodsA univariate analysis with proportions, a bivariate analysis using polychoric correlations, and logistic regression (LR) models were used. The collected dataset was made up of records from RCT. Using three validated LR models, factors were identified and ranked based on their adjusted odds ratio and their statistical significance to adherence.ResultsA total of 1,087 valid patients were included in this analysis, of which 88.96% presented adherence. All models were calibrated, had a good performance, were well specified and cost-effective using the Hosmer–Lemeshow test, metrics for class imbalance, link test approach and Akaike’s criteriums, respectively.ConclusionWe identified as determinants for encouraging good ophthalmic adherence the adverse events presented, duration of the study, female sex, and older age; other determinants such as medical condition, protocol treatment, type of treatment and disease are all risk factors for adherence. Improvements in ophthalmic adherence may be achieved by focused attention to young male patients with chronic degenerative diseases such as glaucoma or ocular hypertension (especially those who need combination therapy) and developing medications with reduced side effects.

Assessing a measure of organizational environment among Indigenous child welfare agencies

BackgroundOrganizational environment is an important construct for child welfare agencies striving to support agency workers and provide the best care possible for their clients. Many assessments of organizational environment present difficulties for child welfare agencies, as they are often proprietary, costly, and may not fully cover important dimensions of organizational functioning. The Comprehensive Organizational Health Assessment (COHA) is a freely available assessment of organizational health that has been used in child welfare settings, but has not yet been tested with Indigenous child welfare agencies in Canada. ObjectiveThe aim of this article is to discuss the development and testing of a modified version of the COHA, the Comprehensive Organizational Environment Assessment (COEA). MethodsThe COEA was developed based on an extensive literature review, input from child welfare researchers, and guidance from an anti-colonial practitioner and community liaison. The COEA was completed by workers from three Indigenous child welfare agencies in Canada ResultsThe COEA was further refined and internal consistency was examined using polychoric correlations and ordinal alpha. The COEA showed strong internal consistency and convergent validity across select scales. ConclusionsThis study highlights the use of polychoric correlations and ordinal alpha when examining the reliability and validity of ordinal-level items. Findings can be used to better understand the assessment of organizational environment for Indigenous child welfare agencies.