Comprehensive investigation of factor structure and gender equivalence of the Beck Depression Inventory-II among nonclinical adolescents.

The Beck Depression Inventory-II (BDI-II) is a widely used tool for rating the severity of depressive symptoms. Studies on the factor structure of the BDI-II in adolescents have yielded controversial findings. Most studies have reported an oblique two-factor model that describes the 'cognitive' and 'somatic-affective' dimensions. However, there is variation in the item composition of each factor across studies. Alternative factor structures have been proposed, including one-factor, three-factor, hierarchical, and bifactor models. Additionally, there is limited data on measurement invariance across genders. This study aimed to examine hypothetical factor structures and gender equivalence of the BDI-II in a sample of Brazilian nonclinical adolescents (N = 1,184, aged 13-18 years, 59.1% females). Cross-validation of the BDI-II was performed through exploratory (EFA) and confirmatory factor analysis (CFA). Measurement invariance was evaluated using multigroup-CFA (MG-CFA). EFA suggested an oblique two-factor model depicting "affective-cognitive" and "somatic" dimensions. CFA tested competing models for the structure of BDI-II, including the simple one- and two-factor models, a bifactor model, and the EFA model along with its corresponding bifactor model. All models demonstrated adequate and similar fitness, well-defined factors, and good reliability. Bifactor analyses indicated a robust general factor with low reliable variance in total scores attributed to multidimensionality caused by the group factors in bifactor models. MG-CFA supported invariance across gender, suggesting that the same BDI-II construct could be applied to both female and male adolescents. This study provides evidence that the BDI-II could be used as a unidimensional measure of depressive symptoms in adolescents by researchers and clinicians.

The underlying structure of the Personality Inventory for DSM-5 (PID-5): a general factor of personality psychopathology.

BACKGROUND: The psychopathology of personality is currently undergoing a paradigm shift from a categorical to a dimensional approach. This work aimed to study the underlying structure of pathological personality traits of the DSM-5 Alternative Model for Personality Disorders (AMPD). For this purpose, the internal structure of a version of the Personality Inventory for the DSM-5 (PID-5) was examined by a confirmatory factor analysis. This version assesses the five higher-order pathological personality domains (negative affectivity, detachment, antagonism, disinhibition, and psychoticism) and the 25 lower-order pathological personality facets through a reduced number of items. Four alternative models were compared: five-factor oblique; second-order (five first-order factors and one second-order factor); bifactor (five specific factors and a general factor), and one-factor. PARTICIPANTS AND PROCEDURE: We worked with an Argentinean sample of N = 525 subjects from the general population who answered the Argentine version of the PID-5. RESULTS: The five-factor model was slightly superior to the second order model, and the bifactor model presented the best fit. CONCLUSIONS: These findings, while preliminary, suggest that the PID-5 facets could reflect five specific pathological personality traits (which correspond to AMPD domains) but also a general factor (which would reflect a general propensity for psychopathology).

Perinatal and neonatal factors and mental disorders in children and adolescents: looking for the contributions of the early environment to common and dissociable aspects of psychopathology.

High rates of co-occurrence of mental disorders have been hypothesized to represent a result of common susceptibility to overall psychopathology. The purpose of this study is to test the hypothesis that commonalities among psychiatric disorders might be partially driven by sharable perinatal and neonatal environmental factors for mental disorders. Participants were 6-14 years of age children and their parents. Primary caregivers provided data on perinatal and neonatal information assessed retrospectively (n = 2231). Psychiatric disorders diagnoses were assessed using the Development and Well Being Behavior Assessment (DAWBA). We used bifactor models to disentangle common from dissociable aspects of psychopathology. These models allow modeling psychiatric disorders as the result of a common domain of psychopathology (p-factor) and three dissociable domains (fear, distress, and externalizing symptoms). Associations were tested using linear and tobit regression models. The p-factor was associated with male sex, low socioeconomic status, gestational smoking, gestational drinking, low levels of maternal education and presence of mental disorder in the mother. Associations with specific factors also emerged suggesting some risk factors might also have some role for fear, distress and externalizing factors. Our study supports the hypothesis that overall susceptibility to psychopathology might be partially driven by sharable perinatal and neonatal factors.

An Evaluation of Item Harmonization Strategies Between Assessment Tools of Psychopathology in Children and Adolescents.

Data aggregation in mental health is complicated by using different questionnaires, and little is known about the impact of item harmonization strategies on measurement precision. Therefore, we aimed to assess the impact of various item harmonization strategies for a target and proxy questionnaire using correlated and bifactor models. Data were obtained from the Brazilian High-Risk Study for Mental Conditions (BHRCS) and the Healthy Brain Network (HBN; N = 6,140, ages 5-22 years, 39.6% females). We tested six item-wise harmonization strategies and compared them based on several indices. The one-by-one (1:1) expert-based semantic item harmonization presented the best strategy as it was the only that resulted in scalar-invariant models for both samples and factor models. The between-questionnaires factor correlation, reliability, and factor score difference in using a proxy instead of a target measure improved little when all other harmonization strategies were compared with a completely at-random strategy. However, for bifactor models, between-questionnaire specific factor correlation increased from 0.05-0.19 (random item harmonization) to 0.43-0.60 (expert-based 1:1 semantic harmonization) in BHRCS and HBN samples, respectively. Therefore, item harmonization strategies are relevant for specific factors from bifactor models and had little impact on p-factors and first-order correlated factors when the child behavior checklist (CBCL) and strengths and difficulties questionnaire (SDQ) were harmonized.

Assessment of Fear of COVID-19 in Older Adults: Validation of the Fear of COVID-19 Scale.

There is no information in Peru on the prevalence of mental health problems associated with COVID-19 in older adults. In this sense, the aim of the study was to gather evidence on the factor structure, criterion-related validity, and reliability of the Spanish version of the Fear of COVID-19 Scale (FCV-19S) in this population. The participants were 400 older adults (mean age = 68.04, SD = 6.41), who were administered the Fear of COVID-19 Scale, Revised Mental Health Inventory-5, Patient Health Questionnaire-2 items, and Generalized Anxiety Disorder Scale 2 items. Structural equation models were estimated, specifically confirmatory factor analysis (CFA), bifactor CFA, and structural models with latent variables (SEM). Internal consistency was estimated with composite reliability indexes (CRI) and omega coefficients. A bifactor model with both a general factor underlying all items plus a specific factor underlying items 1, 2, 4, and 5 representing the emotional response to COVID better represents the factor structure of the scale. This structure had adequate fit and good reliability, and additionally fear of COVID had a large effect on mental health. In general, women had more fear than men, having more information on COVID was associated to more fear, while having family or friends affected by COVID did not related to fear of the virus. The Spanish version of the Fear of COVID-19 Scale presents evidence of validity and reliability to assess fear of COVID-19 in the Peruvian older adult population.

A Bifactor Model of Subjective Well-Being at Personal, Community, and Country Levels: A Case With Three Latin-American Countries.

Improving citizens' subjective well-being (SWB) has become an increasingly visible policy goal across industrialized countries. Although an increasing number of studies have investigated SWB at the individual level, little is known about subjective evaluation at social levels, such as the community and national levels. While the relationships between these levels have been analyzed in previous research, these assessments, which are part of the same unique construct of SWB, are under-investigated. The purpose of this study was to examine the dimensionality and reliability of a single measure of SWB, which contained individual, community, and national levels across three Latin-American countries (Argentina, Chile, and Venezuela), using a bifactor model analysis. Findings showed that the bifactor model exhibited a good fit to the data for the three countries. However, invariance testing between countries was not fully supported because of each item's specific contribution to both specific and general constructs. The analyses of each country showed that the SWB construct was in a gray area between unidimensionality and multidimensionality; some factors contributed more to the general factor and others to the specific level, depending on the country. These findings call for integrating more distant levels (community and country levels) into the understanding of SWB at the individual level, as they contribute not only to an overall construct, but they make unique contributions to SWB, which must be considered in public policy making.

Evidências adicionais de validade da Escala de Satisfação no Trabalho / Additional validity evidence for the Job Satisfaction Scale / Evidencias adicionales de validez de la Escala de Satisfacción Laboral

Este estudo objetivou identificar as propriedades da escala de satisfação no trabalho mais utilizada em amostras brasileiras em termos de sua estrutura, invariância da medida e validade convergente. Participaram da pesquisa 733 trabalhadores (46% mulheres) do setor industrial e terciário de dois estados brasileiros. Além do modelo original de cinco fatores correlacionados, foram comparados três modelos estruturais alternativos (cinco fatores não correlacionados, hierárquico e bifatorial). Os resultados apontam que a estrutura bifatorial com cinco variáveis latentes de primeiro nível mais uma variável geral também de primeiro nível é um modelo estrutural robusto para avaliar a satisfação de trabalhadores brasileiros e foi invariante para todos os grupos testados, tendo a possibilidade de aplicação em amostras com diversidade em termos de tempo de trabalho, grau de escolaridade e sexo. A medida também apresentou correlação positiva de moderada a elevada com outras duas variáveis do comportamento organizacional, confirmando a validade convergente. (AU)

This study aimed to identify the properties of the job satisfaction scale most used in Brazilian samples in terms of its structure, convergent validity and measure invariance. The study involved 733 workers (46% women) from the industrial and tertiary sectors of two Brazilian states. In addition to the original model of five correlated factors, three alternative structural models were compared (five uncorrelated factors, hierarchical and bifactorial). The results show that the bifactorial structure, with five latent variables of the first level plus a general variable also of the first level, is a robust structural model to evaluate the satisfaction of Brazilian workers and was invariant for all groups tested, with the possibility of application in samples with different work times, levels of education and gender. The measure also showed a positive moderate to high correlation with the other two variables of organizational behavior confirming the convergent validity. (AU)

Este estudio tuvo como objetivo identificar las propiedades de la escala de satisfacción laboral más utilizada en muestras brasileñas en términos de su estructura, validez convergente e invarianza de medida. Participaron de la encuesta 733 trabajadores (46% mujeres) de los sectores industrial y terciario de dos provincias brasileñas. Además del modelo original de cinco factores correlacionados, se compararon tres modelos estructurales alternativos (cinco factores no correlacionados, jerárquico y el de dos factores). Los resultados demuestran que, la estructura de dos factores con cinco variables latentes del primer nivel más una variable general, también del primer nivel, es un modelo estructural robusto para evaluar la satisfacción laboral de los trabajadores brasileños y fue invariante para todos los grupos evaluados, con la posibilidad de aplicación en muestras con diferentes tiempos de trabajo, escolaridad y género. La medida también presentó correlación positiva, de moderada a elevada, con otras dos variables del comportamiento organizacional, lo que confirma la validez convergente. (AU)

The Infertility-Related Stress Scale: Validation of a Brazilian-Portuguese Version and Measurement Invariance Across Brazil and Italy.

Infertility constitutes an essential source of stress in the individual and couple's life. The Infertility-Related Stress Scale (IRSS) is of clinical interest for exploring infertility-related stress affecting the intrapersonal and interpersonal domains of infertile individuals' lives. In the present study, the IRSS was translated into Brazilian-Portuguese, and its factor structure, reliability, and relations to sociodemographic and infertility-related characteristics and depression were examined. A sample of 553 Brazilian infertile individuals (54.2% female, mean aged 36 ± 6 years) completed the Brazilian-Portuguese IRSS (IRSS-BP), and a subsample of 222 participants also completed the BDI-II. A sample of 526 Italian infertile individuals (54.2% female, mean aged 38 ± 6 years) was used to test for the IRSS measurement invariance across Brazil and Italy. Results of exploratory structural equation modeling (ESEM) indicated that a bifactor solution best represented the structure underlying the IRSS-BP. Both the general and the two specific intrapersonal and interpersonal IRSS-BP factors showed satisfactory levels of composite reliability. The bifactor ESEM solution replicated well across countries. As evidence of relations to other variables, female gender, a longer duration of infertility, and higher depression were associated with higher scores in global and domain-specific infertility-related stress. The findings offer initial evidence of validity and reliability of the IRSS-BP, which could be used by fertility clinic staff to rapidly identify patients who need support to deal with the stressful impact of infertility in the intrapersonal and interpersonal life domains, as recommended by international guidelines for routine psychosocial care in infertility settings.

Fidedignidade dos escores do Exame Nacional do Ensino Médio (Enem) / Reliability of scores from the National Exam of Upper Secondary Education (Enem) / Fiabilidad de los escores del Examen Nacional De La Secundaria Superior (Enem)

O Exame Nacional do Ensino Médio (Enem) gera uma pontuação para cada domínio que avalia: matemática, linguagens, ciências da natureza e ciências humanas. Reconhecendo a relevância do exame no acesso ao ensino superior e em outros aspectos da vida prática do estudante brasileiro, o presente estudo investiga a fidedignidade dos escores do Enem nos seus quatro domínios. Utilizou-se como amostra os escores dos estudantes que participaram da edição de 2011 do exame. As análises envolveram a estimação dos parâmetros de um modelo de quatro fatores correlacionados e de um modelo bifatorial por meio de análise fatorial confirmatória, além da estimação da fidedignidade composta e da fidedignidade omega dos quatro domínios e do fator geral de desempenho, no caso do modelo bifatorial. Utilizou-se como variáveis observáveis as 30 competências de cada domínio. Os resultados indicaram alta fidedignidade apenas para os escores provenientes do fator geral

The National Exam of Upper Secondary Education (ENEM) generates a score for each domains it assess: mathematics, languages, natural sciences, and humanities. Considering the relevance of the Exam in the access to higher education and in other practical aspects of Brazilian students' life, the present study investigates the reliability of the scores from the four domains. We used as a sample the scores of the students who participated in the 2011 edition of the Exam. The analyzes involved the estimation of the parameters of an oblique four-factor model and a bifactor model using confirmatory factor analysis, as well as the estimation of composite and omega reliability of the four domains and the general performance factor, in the case of the bifactor model. We used the 30 competences of each domain as observable variables. The results indicated high reliability only for the scores from the general factor

El Examen Nacional de la Secundaria Superior (ENEM) genera un puntaje para cada dominio que evalúa: matemática, lenguage, ciencias naturales y humanidades. Puesta la relevancia del Examen en el acceso a la educación superior y en otros aspectos prácticos de la vida de los estudiantes brasileños, el presente estudio investiga la fiabilidad de los puntajes de los cuatro dominios. Usamos como muestra los puntajes de los estudiantes que participaron en la edición 2011 del Examen. Los análisis incluyeron la estimación de los parámetros de un modelo oblicuo de cuatro factores y un modelo bifactorial utilizando análisis factorial confirmatorio, así como la estimación de la confiabilidad compuesta y omega de los cuatro dominios y el factor de desempeño general, en el caso del modelo bifactor. Usamos las 30 competencias de cada dominio como variables observables. Los resultados indicaron una alta fiabilidad solo para los puntajes del factor general

Development of a healthy ageing index in Latin American countries - a 10/66 dementia research group population-based study.

BACKGROUND: Our population is ageing and in 2050 more than one out of five people will be 60 years or older; 80% of whom will be living in a low-and-middle income country. Living longer does not entail living healthier; however, there is not a widely accepted measure of healthy ageing hampering policy and research. The World Health Organization defines healthy ageing as the process of developing and maintaining functional ability that will enable well-being in older age. We aimed to create a healthy ageing index (HAI) in a subset of six low-and-middle income countries, part of the 10/66 study, by using items of functional ability and intrinsic capacity. METHODS: The study sample included residents 65-years old and over (n = 12,865) from catchment area sites in Cuba, Dominican Republic, Peru, Venezuela, Mexico and Puerto Rico. Items were collected by interviewing participants or key informants between 2003 and 2010. Two-stage factor analysis was employed and we compared one-factor, second-order and bifactor models. The psychometric properties of the index, including reliability, replicability, unidimensionality and concurrent convergent validity as well as measurement invariance per ethnic group and gender were further examined in the best fit model. RESULTS: The bifactor model displayed superior model fit statistics supporting that a general factor underlies the various items but other subdomain factors are also needed. The HAI indicated excellent reliability (ω = 0.96, ωΗ = 0.84), replicability (H = 0.96), some support for unidimensionality (Explained Common Variance = 0.65) and some concurrent convergent validity with self-rated health. Scalar measurement invariance per ethnic group and gender was supported. CONCLUSIONS: A HAI with excellent psychometric properties was created by using items of functional ability and intrinsic capacity in a subset of six low-and-middle income countries. Further research is needed to explore sub-population differences and to validate this index to other cultural settings.

Bifactor model of effortful control and impulsivity and their prospective prediction of ego resiliency.

OBJECTIVE: Children's effortful control and impulsivity are important predictors of the personality trait, ego resiliency (i.e., resiliency). Most researchers have not considered the fact that effortful control and impulsivity share substantial conceptual and empirical overlap, yet they also have been shown to be distinct. We tested a bifactor model of effortful control and impulsivity to characterize their shared and unique variance, the prospective prediction of resiliency by the factors of the bifactor model, and moderation by sex and age. METHOD: In a longitudinal study of children (N = 214; 76.5% non-Hispanic Caucasian, 12.2% Hispanic, 11.3% other race/ethnicity), parent- and teacher-reported effortful control and impulsivity, as well as behavioral measures of effortful control, were assessed on two occasions (T1: 4.5-8 years; T2: 6-10 years). Parent-reported resiliency was used as a covariate (T1) and the outcome (T3: 8-12 years). RESULTS: The bifactor model yielded a common effortful inhibitory control factor, pure attentional control factor, and pure impulsivity factor. Pure impulsivity and pure attentional control positively predicted resiliency, but only for girls. Effortful inhibitory control did not uniquely predict resiliency. CONCLUSION: Disentangling the shared and unique aspects of effortful control and impulsivity could clarify the roles they play in important outcomes, such as resiliency.

Bifactor Models of Attention-Deficit/Hyperactivity Disorder (ADHD): An Evaluation of Three Necessary but Underused Psychometric Indexes.

BACKGROUND: In the past decade, the bifactor model of attention-deficit/hyperactivity disorder (ADHD) has been extensively researched. This model consists of an ADHD general dimension and two specific factors: inattention and hyperactivity/impulsivity. All studies conclude that the bifactor is superior to the traditional two-correlated factors model, according to the fit obtained by factor analysis. However, the proper interpretation of a bifactor not only depends on the fit but also on the quality of the measurement model. OBJECTIVE: To evaluate the model-based reliability, distribution of common variance and construct replicability of general and specific ADHD factors. METHOD: We estimated expected common variance, omega hierarchical/subscale and H-index from standardized factor loadings of 31 ADHD bifactor models previously published. RESULTS AND CONCLUSION: The ADHD general factor explained most of the common variance. Given the low reliable variance ratios, the specific factors were difficult to interpret. However, in clinical samples, inattention acquired sufficient specificity and stability for interpretation beyond the general factor. Implications for research and clinical practice are discussed.

Assessing Music Perception in Young Children: Evidence for and Psychometric Features of the M-Factor.

Given the relationship between language acquisition and music processing, musical perception (MP) skills have been proposed as a tool for early diagnosis of speech and language difficulties; therefore, a psychometric instrument is needed to assess music perception in children under 10 years of age, a crucial period in neurodevelopment. We created a set of 80 musical stimuli encompassing seven domains of music perception to inform perception of tonal, atonal, and modal stimuli, in a random sample of 1006 children, 6-13 years of age, equally distributed from first to fifth grades, from 14 schools (38% private schools) in So Paulo State. The underlying model was tested using confirmatory factor analysis. A model encompassing seven orthogonal specific domains (contour, loudness, scale, timbre, duration, pitch, and meter) and one general music perception factor, the "m-factor," showed excellent fit indices. The m-factor, previously hypothesized in the literature but never formally tested, explains 93% of the reliable variance in measurement, while only 3.9% of the reliable variance could be attributed to the multidimensionality caused by the specific domains. The 80 items showed no differential item functioning based on sex, age, or enrolment in public vs. private school, demonstrating the important psychometric feature of invariance. Like Charles Spearman's g-factor of intelligence, the m-factor is robust and reliable. It provides a convenient measure of auditory stimulus apprehension that does not rely on verbal information, offering a new opportunity to probe biological and psychological relationships with music perception phenomena and the etiologies of speech and language disorders.

Attention-deficit/hyperactivity disorder dimensionality: the reliable 'g' and the elusive 's' dimensions.

The best structural model for attention-deficit/hyperactivity disorder (ADHD) symptoms remains a matter of debate. The objective of this study is to test the fit and factor reliability of competing models of the dimensional structure of ADHD symptoms in a sample of randomly selected and high-risk children and pre-adolescents from Brazil. Our sample comprised 2512 children aged 6-12 years from 57 schools in Brazil. The ADHD symptoms were assessed using parent report on the development and well-being assessment (DAWBA). Fit indexes from confirmatory factor analysis were used to test unidimensional, correlated, and bifactor models of ADHD, the latter including "g" ADHD and "s" symptom domain factors. Reliability of all models was measured with omega coefficients. A bifactor model with one general factor and three specific factors (inattention, hyperactivity, impulsivity) exhibited the best fit to the data, according to fit indices, as well as the most consistent factor loadings. However, based on omega reliability statistics, the specific inattention, hyperactivity, and impulsivity dimensions provided very little reliable information after accounting for the reliable general ADHD factor. Our study presents some psychometric evidence that ADHD specific ("s") factors might be unreliable after taking common ("g" factor) variance into account. These results are in accordance with the lack of longitudinal stability among subtypes, the absence of dimension-specific molecular genetic findings and non-specific effects of treatment strategies. Therefore, researchers and clinicians might most effectively rely on the "g" ADHD to characterize ADHD dimensional phenotype, based on currently available symptom items.