Are Fit Indices Biased in Favor of Bi-Factor Models in Cognitive Ability Research?: A Comparison of Fit in Correlated Factors, Higher-Order, and Bi-Factor Models via Monte Carlo Simulations

The underlying architecture of musical sensibility: One general factor, four subdimensions, and strong genetic effects

Current evidence suggests moderate heritability of music phenotypes, such as music listening and achievement. However, other fundamental traits underlying people's interest in music and its relevance for their lives have been largely neglected, and little is known about the genetic and environmental etiology of what we refer to as musical sensibility-the tendency to be emotionally and aesthetically engaged by music. This study investigated the latent structure, as well as the genetic and environmental factors influencing individual variability in multiple domains of musical sensibility, and the etiological architecture of the relationship between the dimensions. To this end, we used phenotypic confirmatory factor analytic and biometric twin modeling to analyze self-reported ratings on four dimensions of musical sensibility in a sample of Norwegian twins (N = 2600). The results indicate a phenotypic higher-order structure, whereby both the resulting general musical sensibility factor and the conceptually narrower domains were strongly heritable (49-65%). Multivariate analyses of the genetic and environmental covariance further revealed substantial overlap in genetic variance across domains.

The Imperfect Yet Valuable Difficulties in Emotion Regulation Scale: Factor Structure, Dimensionality, and Possible Cutoff Score

The Difficulties in Emotion Regulation Scale (DERS) is frequently used to assess emotion regulation (ER) capabilities. Originally a multidimensional scale, many utilize its total score, without clear recommendations. We aimed to explore the DERS's structure, dimensionality, and utility and provide clinicians and researchers with clear guidelines. Self-report data on ER, personality, psychopathology, and life satisfaction were collected from 502 adults. Seventy also participated in a lab study evaluating group interactions, which included additional self-report and physiological monitoring. Findings suggested favoring the correlated-traits and bifactor models, the latter excelling in direct comparisons. The total score was found reliable and valid, explaining 53.3% of the variance, with a distinct emotional awareness subfactor, suggesting a non-pure unidimensional solution. A cutoff score of 95 identified significant ER difficulties, linked to psychopathology. We thus recommend using the DERS's total score and 95 as its cutoff, while calling for further validation in diverse and clinical samples.

The Emotion Beliefs Questionnaire: Psychometric properties, norms, and links to affective outcomes

BACKGROUND

The Emotion Beliefs Questionnaire was recently developed to measure beliefs about the controllability and usefulness of negative and positive emotions. These are beliefs that have been theorised to be influential for emotion regulation and psychological outcomes. However, to date there are few studies utilising large, representative samples to examine the EBQ's psychometric properties and affective correlates. Our aim was to fill this gap by examining the EBQ's psychometric properties and exploring associations between emotion beliefs, emotion regulation, and affective disorder symptoms.

METHODS

A sample of 1175 adults recruited from the general population in the United States completed measures of emotion beliefs, emotion regulation, and affective disorder symptoms.

RESULTS

Confirmatory factor analyses supported the EBQ's intended subscale structure, where controllability and usefulness beliefs were separated by valence. This structure was invariant across gender, age, and education categories. The EBQ correlated in expected ways with other measures, demonstrating good validity, and had good to excellent levels of internal consistency reliability.

LIMITATIONS

This study used a non-clinical sample that was predominantly White. Future work should utilise clinical and cross-cultural samples to maximise generalisability of findings.

CONCLUSIONS

Our findings indicate that the EBQ is a psychometrically sound tool for measuring the multidimensional emotion belief construct. The EBQ may have clinical utility in the conceptualisation, assessment, and treatment of maladaptive emotion beliefs. Furthermore, our results highlight the importance of considering the potential influence of maladaptive emotion beliefs in emotion dysregulation and affective disorder symptoms.

Why Do Bi-Factor Models Outperform Higher-Order g Factor Models? A Network Perspective

Bi-factor models of intelligence tend to outperform higher-order g factor models statistically. The literature provides the following rivalling explanations: (i) the bi-factor model represents or closely approximates the true underlying data-generating mechanism; (ii) fit indices are biased against the higher-order g factor model in favor of the bi-factor model; (iii) a network structure underlies the data. We used a Monte Carlo simulation to investigate the validity and plausibility of each of these explanations, while controlling for their rivals. To this end, we generated 1000 sample data sets according to three competing models-a bi-factor model, a (nested) higher-order factor model, and a (non-nested) network model-with 3000 data sets in total. Parameter values were based on the confirmatory analyses of the Wechsler Scale of Intelligence IV. On each simulated data set, we (1) refitted the three models, (2) obtained the fit statistics, and (3) performed a model selection procedure. We found no evidence that the fit measures themselves are biased, but conclude that biased inferences can arise when approximate or incremental fit indices are used as if they were relative fit measures. The validity of the network explanation was established while the outcomes of our network simulations were consistent with previously reported empirical findings, indicating that the network explanation is also a plausible one. The empirical findings are inconsistent with the (also validated) hypothesis that a bi-factor model is the true model. In future model selection procedures, we recommend that researchers consider network models of intelligence, especially when a higher-order g factor model is rejected in favor of a bi-factor model.

The Impact of Measurement Model Misspecification on Coefficient Omega Estimates of Composite Reliability

Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct model specification. The current paper presents a simulation study to investigate the performance of omega-unidimensional (based on the parameters of a one-factor model) and omega-hierarchical (based on a bifactor model) under correct and incorrect model misspecification for high and low reliability composites and different scale lengths. Our results show that coefficient omega estimates are unbiased when calculated from the parameter estimates of a properly specified model. However, omega-unidimensional produced positively biased estimates when the population model was characterized by unmodeled error correlations or multidimensionality, whereas omega-hierarchical was only slightly biased when the population model was either a one-factor model with correlated errors or a higher-order model. These biases were higher when population reliability was lower and increased with scale length. Researchers should carefully evaluate the feasibility of a one-factor model before estimating and reporting omega-unidimensional.

Refining Anger: Summarizing the Self-Report Measurement of Anger

The current paper presents a five-factor measurement model of anger summarizing scores on public-domain self-report measures of anger. Exploratory and confirmatory factor analyses of self-report measures of anger (UK, n = 500; USA, n = 625) suggest five replicable latent anger factors: anger-arousal, anger-rumination, frustration-discomfort, anger-regulation, and socially constituted anger. Findings suggested a 5-factor interpretation provided the best fit of the data. We also report evidence of measurement invariance for this 5-factor model of anger across gender, age, and ethnicity. The findings suggest a useful and parsimonious account of anger, summarizing over 50 years of research around the self-report measurement of anger.

The Perceived Stress Scale is essentially unidimensional: Complementary evidence from ancillary bifactor indices and Mokken analysis

Stress is a significant contributor to physical and mental health. However, there is considerable variability in response to stress, underscoring the role of stress perception in health outcomes. Perceptions of stress are influenced by socio-demographic and cultural factors. The Perceived Stress Scale (PSS) has been used extensively to assess stress among different populations and for cross-cultural comparisons. Given its wide-ranging application, the rigorous assessment of its psychometric properties is necessary to solidify its standing as a dependable measure. The scale was originally conceptualized as unidimensional but there has been controversy regarding its factor structure, leading to various factor models. Conclusions about the structure of the PSS were largely based on fit indices in confirmatory factor analysis and often did not go beyond fit indices. In addition, classical test theory indices are sample dependent and it is not surprising that instruments can exhibit different properties in different samples. Over reliance on fit indices can lead to overly simplistic interpretations of underlying dimensionality. Hence, the current study extends this research by using item response theory and examining ancillary bifactor indices to determine the amount of variance explained by the total scale and subscales. Participants were students (n = 322) at a South African institution who completed the PSS and a demographic questionnaire. Fit indices in confirmatory factor analysis indicated that a one-factor model, a bifactor model and a correlated-two factor model fit the data to an acceptable degree (GFI > 0.95, CFI > 0.90, RMSEA <0.08). Ancillary bifactor indices supported the essential unidimensionality of the scale as the two subscales accounted for 18.9 % and 17.2 %, of the variance, respectively, while the total scale accounted for 63.9 % of the variance. This was confirmed by Mokken analysis, which indicated that all the items loaded on one scale. The unidimensionality of the PSS suggests that it can be an effective clinical screening tool and that it is easily adaptable across different populations and contexts, enabling standardized comparisons. However, it may lose sensitivity to cultural differences in how stress is perceived and experienced. Hence, integrating the PSS with tailored assessments would facilitate a more robust and inclusive approach to stress assessment in various settings and populations. The study did not take specific sources of stress into account and was conducted among a distinct population group. Future studies undertaken among diverse populations and linking global stress with the impact of stressful life events are needed to further confirm our results and understand the interconnection between these factors.

Towards the measurement of autistic burnout

LAY ABSTRACT

Autistic burnout has been talked about by autistic adults for some time on blogs and in social media. Now, research describes fatigue, exhaustion and other related symptoms experienced by autistic people. We need new ways to help identify autistic burnout. In this study, we tested a new questionnaire called the AASPIRE Autistic Burnout Measure, and we investigated things that are linked to worse autistic burnout. We also trialled a group of Autistic Burnout Severity Items that we made. Working with an autistic researcher, we made the Autistic Burnout Severity Items based on published definitions of autistic burnout. Autistic adults (n = 141) who had experienced autistic burnout completed an online survey. We found that autistic burnout was connected to masking and depression. The Autistic Burnout Measure tool was associated with depression but not with masking. It was not very accurate in telling apart participants who were currently experiencing burnout versus those who were reporting on their past experience. The Autistic Burnout Severity Items might have problems with subscales adding together to measure autistic burnout. More work is needed on how to measure autistic burnout. Our research and other recent studies show autistic people experience a combination of exhaustion, withdrawal and problems with their concentration and thinking. Burnout seems to be linked to the stress experienced by autistic people in their daily lives. We need more research to understand the difference between autistic burnout and other conditions and experiences. We need to develop assessment tools that can help identify this burnout.

Validation of the vaccination attitudes examination scale in a South African context in relation to the COVID-19 vaccine: quantifying dimensionality with bifactor indices

BACKGROUND

The COVID-19 pandemic represented a global public health emergency. Existing studies support the view that vaccination and mass immunization are among the most effective means of containing the outbreak and promoting health. However, negative attitudes toward vaccination and the related vaccine hesitancy among many groups have created a significant barrier to effectively managing the health crisis. Having a valid and reliable tool to assess attitudes toward vaccination remains imperative so that factors underlying vaccine refusal can be identified and public health interventions can be facilitated. The current study examined the psychometric properties of the Vaccination Attitudes Examination Scale (VAX) in South Africa.

METHODS

Participants (n = 322) completed the VAX. Confirmatory factor analysis and ancillary bifactor indices were used to examine the hypothesized factor structure (a total scale and four subscales) of the scale. Inter-item correlations, factor loadings, and average variance extracted were used to examine the validity of the scale. Predictive validity was examined by comparing those who had received the COVID-19 vaccine and those who had not. The reliability of the scale was examined in terms of both Cronbach's alpha and composite reliability.

RESULTS

Confirmatory factor analysis provided support for the conceptualization of the scale as consisting of a total scale and four subscales, and ancillary bifactor indices indicated that the subscales accounted for a sufficient amount of variance (44%) after the variance explained by the total scale was considered. Overall, the analysis indicated that the scale had satisfactory reliability (alpha and composite reliability = 0.70) and provided evidence for the construct, convergent, and predictive validity of the VAX.

CONCLUSIONS

The sound psychometric qualities of the scale, when used in a low- to middle-income country, have the potential to advance research and immunization policy within these settings and facilitate more targeted interventions to promote vaccine uptake.

Do general and specific factors of preschool psychopathology predict preadolescent outcomes? A transdiagnostic hierarchical approach

BACKGROUND

Preschool psychiatric symptoms significantly increase the risk for long-term negative outcomes. Transdiagnostic hierarchical approaches that capture general ('p') and specific psychopathology dimensions are promising for understanding risk and predicting outcomes, but their predictive utility in young children is not well established. We delineated a hierarchical structure of preschool psychopathology dimensions and tested their ability to predict psychiatric disorders and functional impairment in preadolescence.

METHODS

Data for 1253 preschool children (mean age = 4.17, s.d. = 0.81) were drawn from three longitudinal studies using a similar methodology (one community sample, two psychopathology-enriched samples) and followed up into preadolescence, yielding a large and diverse sample. Exploratory factor models derived a hierarchical structure of general and specific factors using symptoms from the Preschool Age Psychiatric Assessment interview. Longitudinal analyses examined the prospective associations of preschool p and specific factors with preadolescent psychiatric disorders and functional impairment.

RESULTS

A hierarchical dimensional structure with a p factor at the top and up to six specific factors (distress, fear, separation anxiety, social anxiety, inattention-hyperactivity, oppositionality) emerged at preschool age. The p factor predicted all preadolescent disorders (ΔR2 = 0.04-0.15) and functional impairment (ΔR2 = 0.01-0.07) to a significantly greater extent than preschool psychiatric diagnoses and functioning. Specific dimensions provided additional predictive power for the majority of preadolescent outcomes (disorders: ΔR2 = 0.06-0.15; functional impairment: ΔR2 = 0.05-0.12).

CONCLUSIONS

Both general and specific dimensions of preschool psychopathology are useful for predicting clinical and functional outcomes almost a decade later. These findings highlight the value of transdiagnostic dimensions for predicting prognosis and as potential targets for early intervention and prevention.

Factor Structure and Criterion-Related Validity of the Air Force Officer Qualifying Test Form T for Pilot Applicants

The Air Force Officer Qualifying Test (AFOQT) is the primary selection tool for officer applicants in the U.S. Air Force (USAF) for nearly seven decades. The AFOQT is revised and modified periodically, with rigorous equating and linking effort to ensure comparability and connectivity across forms. The most recent version of AFOQT is Form T that includes 10 cognitive ability and knowledge subtests. Despite the continuing validation effort of the AFOQT across forms, it was mostly directed to the general population of officer applicants, but not to any specific subpopulation. The current investigation reported three studies in an attempt to provide evidence for factor structure and criterion-related validity of AFOQT Form T for pilot applicants via four analytical approaches: meta-analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). The results suggested that AFOQT Form T data are best represented by a bifactor model with a general ability and four specific abilities, and that each latent construct has a distinct predictive utility for pilot performance criteria.

Review of the psychometric properties of the Patient Health Questionnaire-9 (PHQ-9) Spanish version in a sample of Puerto Rican workers

Background

This study aimed to examine the internal structure and assess the psychometric properties of the Patient Health Questionnaire (PHQ-9) in a Puerto Rican sample of workers. This instrument is a nine-item questionnaire, which was conceptualized as a unidimensional structure; however, there are mixed results regarding this internal structure. This measure is used in the occupational health psychology context in organizations in Puerto Rico; nevertheless, there is little evidence of its psychometric properties with samples of workers.

Materials and methods

A total of 955 samples from two different study samples were used in this cross-sectional study design in which the PHQ-9 was used. We conducted confirmatory factor analysis, bifactor analysis, and random intercept item factor analysis to examine the internal structure of the PHQ-9. Moreover, a two-factor model was examined by randomly assigning items to the two factors. Measurement invariance across sex and the relationship with other constructs were examined.

Results

The best-fitted model was the bifactor model followed by the random intercept item factor. The five sets of two-factor models with items randomly assigned obtained acceptable and similar fit indices regardless of the items.

Conclusion

The results suggest that the PHQ-9 appears to be a reliable and valid instrument to measure depression. The more parsimonious interpretation of its scores, for now, is a unidimensional structure. Comparison across sex appears to be useful in occupational health psychology research settings since the results suggest that the PHQ-9 is invariant regarding this variable.

The Evolution of Intelligence: Analysis of the Journal of Intelligence and Intelligence

What are the current trends in intelligence research? This parallel bibliometric analysis covers the two premier journals in the field: Intelligence and the Journal of Intelligence (JOI) between 2013 and 2022. Using Scopus data, this paper extends prior bibliometric articles reporting the evolution of the journal Intelligence from 1977 up to 2018. It includes JOI from its inception, along with Intelligence to the present. Although the journal Intelligence's growth has declined over time, it remains a stronghold for traditional influential research (average publications per year = 71.2, average citations per article = 17.07, average citations per year = 2.68). JOI shows a steady growth pattern in the number of publications and citations (average publications per year = 33.2, average citations per article = 6.48, total average citations per year = 1.48) since its inception in 2013. Common areas of study across both journals include cognitive ability, fluid intelligence, psychometrics-statistics, g-factor, and working memory. Intelligence includes core themes like the Flynn effect, individual differences, and geographic IQ variability. JOI addresses themes such as creativity, personality, and emotional intelligence. We discuss research trends, co-citation networks, thematic maps, and their implications for the future of the two journals and the evolution and future of the scientific study of intelligence.

A PROACTIVE Coping Scale for U.S. College Students: Initial Evidence and Implications

The present studies report the development of a PROACTIVE coping scale to evaluate actions used by U.S. college students to prevent or prepare for potential future stressors. Results of EFA and CFA using two samples of U.S. college students (total N = 1123) indicated the viability and stability of a 19-item four-factor model of proactive coping: Active Preparation, Ineffective Preparation, Self-Management, and Utilization of Social Resources. The scale demonstrated good psychometric properties, and each factor represents a meaningful and distinctive facet of proactive coping behavior. Concurrent and incremental validity estimates indicated that the subscales of the scale were (a) associated with problem-solving appraisal, future-oriented thoughts, life satisfaction, and optimism in expected ways, and (b) accounted for more variance on life satisfaction beyond the effect of the problem-solving appraisal. The results from this study indicate the importance of broadening coping to include proactive coping and how proactive coping is associated with various psychological outcomes.

Full-information item bifactor model for mathematical ability assessment in Chinese compulsory education quality monitoring

This study focuses on the measurement of mathematical ability in the Chinese Compulsory Education Qualification Monitoring (CCEQM) framework using bifactor theory. First, we propose a full-information item bifactor (FIBF) model for the measurement of mathematical ability. Second, the performance of the FIBF model is empirically studied using a data set from three representative provinces were selected from CCEQM 2015-2017. Finally, Monte Carlo simulations are conducted to demonstrate the accuracy of the model evaluation indices and parameter estimation methods used in the empirical study. The obtained results are as follows: (1) The results for the four used model selection indices (AIC, SABIC, HQ, BIC) consistently showed that the fit of the FIBF model is better than that of the UIRT; (2) All of the estimated general and domain-specific abilities of the FIBF model have reasonable interpretations; (3) The model evaluation indices and parameter estimation methods exhibit excellent accuracy, indicating that the application of the FIBF model is technically feasible in large-scale testing projects.

Changes in Collective Efficacy's Preventive Effect on Intimate Partner Violence during the COVID-19 Pandemic

Following the logic of studies showing that collective efficacy within neighborhoods deters intimate partner violence (IPV), the promotion of social distancing during the COVID-19 pandemic may have weakened that effect. To examine that possibility, we analyzed panel data from 318 adults in Japan regarding IPV victimization and perceived collective efficacy at four time points. A latent growth model (LGM) analysis for each measure revealed that informal social control, a subscale of collective efficacy, has declined since the pandemic began, whereas no significant changes have occurred in social cohesion and trust, another subscale of collective efficacy, and IPV victimization. Furthermore, two parallel LGM analyses revealed that although collective efficacy before the pandemic suppressed subsequent IPV victimization, changes in collective efficacy during the pandemic have been positively associated with changes in IPV. Those results suggest that collective efficacy's protective effect on IPV is moderated by whether interactions between intimate partners and their neighbors are socially normative.

What are the consequences of ignoring cross-loadings in bifactor models? A simulation study assessing parameter recovery and sensitivity of goodness-of-fit indices

Bifactor latent models have gained popularity and are widely used to model construct multidimensionality. When adopting a confirmatory approach, a common practice is to assume that all cross-loadings take zero values. This article presents the results of a simulation study exploring the impact of ignoring non-zero cross-loadings on the performance of confirmatory bifactor analysis. The present work contributes to previous research by including study conditions that had not been examined before. For instance, a wider range of values of the factor loadings both for the group factors and the cross-loadings is considered. Parameter recovery is analyzed, but the focus of the study is on assessing the sensitivity of goodness-of-fit indices to detect the model misspecification that involves ignoring non-zero cross-loadings. Several commonly used SEM fit indices are examined: both biased estimators of the fit index (CFI, GFI, and SRMR) and unbiased estimators (RMSEA and SRMR). Results indicated that parameter recovery worsens when ignoring moderate and large cross-loading values and using small sample sizes, and that commonly used SEM fit indices are not useful to detect such model misspecifications. We recommend the use of the unbiased SRMR index with a cutoff value adjusted by the communality level (R²), as it is the only fit index sensitive to the model misspecification due to ignoring non-zero cross-loadings in the bifactor model. The results of the present study provide insights into modeling cross-loadings in confirmatory bifactor models but also practical recommendations to researchers.

Psychometric Properties of the Chinese Translated Athlete Burnout Questionnaire: Evidence From Chinese Collegiate Athletes and Elite Athletes

The purpose of the study was to translate the athlete burnout questionnaire (ABQ) into Simplified Chinese and examine its psychometric properties in Chinese collegiate athletes and elite athletes. Firstly, the factor structure, internal consistency reliability and nomological validity of the Chinese translated ABQ was examined in a sample of Chinese collegiate athletes (n = 214, 58.9% females). Secondly, abovementioned psychometric properties were examined in a sample of Chinese elite athletes (n = 505, 52.7% females). Finally, measurement invariance of the Chinese translated ABQ was examined across the two samples. It was found that the 12-item three-correlated-factors model outperformed the one factor model and bi-factor model in collegiate athlete sample whereas the 12-item bi-factor model best represented the factor structure of the Chinese translated ABQ in elite athlete sample. Satisfactory internal consistency reliabilities of the Chinese translated ABQ were evidenced in the two samples. Nomological validity was also supported by the results of the two samples that the three subscales of the ABQ were significantly associated with its theoretically related variables. Results of multiple-group confirmatory factor analysis revealed that weak measurement invariance of the Chinese translated ABQ (three-correlated-factors model) was evidenced across the two samples. Collectively, results of this study indicated that the 12-item Chinese translated ABQ could be used for measuring burnout of Chinese collegiate and elite athletes. Significance and implication of the current study as well as recommendations for future study were discussed.

Maternal Depressive Symptoms Predict General Liability in Child Psychopathology

Objective: The current study examines how maternal depressive symptoms relate to child psychopathology when structured via the latent bifactor model of psychopathology, a new organizational structure of psychopathological symptoms consisting of a general common psychopathology factor (p-factor) and internalizing- and externalizing-specific risk.Method: Maternal report of depressive symptoms (Beck Depression Inventory - II) and child psychopathological symptoms (Child Behavior Checklist and Children's Behavior Questionnaire) were provided by 554 mother-child pairs. Children in the sample were 7.7 years old on average (SD = 1.35, range = 5-11 years), and were 49.8% female, 46% Latinx, and 67% White, 6% Black, 5% Asian/Pacific Islander, and 21% multiracial.Results: Maternal depressive symptoms were positively associated with the child p-factor but not with the internalizing- or externalizing-specific factors. We did not find evidence of sex/gender or race/ethnicity moderation when using latent factors of psychopathology. Consistent with past research, maternal depressive symptoms were positively associated with internalizing and externalizing composite scores on the Child Behavior Checklist.Conclusions: Findings suggest that maternal depressive symptoms are associated with transdiagnostic risk for broad child psychopathology (p-factor). Whereas the traditional Achenbach-style approach of psychopathological assessment suggests that maternal depressive symptoms are associated with both child internalizing and externalizing problems, the latent bifactor model suggests that these associations may be accounted for by risk pathways related to the p-factor rather than internalizing or externalizing specific risk. We discuss clinical and research implications of using a latent bifactor structure of psychopathology to understand how maternal depression may impact children's mental health.

The Ethical Use of Fit Indices in Structural Equation Modeling: Recommendations for Psychologists

Fit indices provide helpful information for researchers to assess the fit of their structural equation models to their data. However, like many statistics and methods, researchers can misuse fit indices, which suggest the potential for questionable research practices that might arise during the analytic and interpretative processes. In the current paper, the author highlights two critical ethical dilemmas regarding the use of fit indices, which are (1) the selective reporting of fit indices and (2) using fit indices to justify poorly-fitting models. The author highlights the dilemmas and provides potential solutions for researchers and journals to follow to reduce these questionable research practices.

Cumulative stress: A general "s" factor in the structure of stress

OBJECTIVE

The present study tested a hierarchical model of cumulative stress in a large probability sample of adults from the United States.

METHODS

Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) models were used to develop and test a hierarchical model of cumulative stress. Structural equation models were used to estimate concurrent associations with demographic factors, polygenic risk scores, and physical health outcomes, as well as prospective associations with physical health outcomes.

RESULTS

A hierarchical model of cumulative stress was the best-fitting model, with a general "s-factor" capturing the tendency for subordinate dimensions of stress to correlate. Associations with demographic factors and polygenic risk scores for physical and psychological phenotypes provide evidence for the convergent validity of a general s-factor of cumulative stress. The general s-factor and subordinate factors of cumulative stress were also associated with physical health outcomes, concurrently and prospectively, including number of chronic conditions, body mass index, and difficulty with activities of daily living.

CONCLUSIONS

Like other human individual differences, the co-occurrence of social stressors can be understood using a hierarchical model.

The Role of General and Specific Cognitive Abilities in Predicting Performance of Three Occupations: Evidence from Bifactor Models

Cognitive abilities are related to job performance. However, there is less agreement about the relative contribution of general versus specific cognitive abilities to job performance. Similarly, it is not clear how cognitive abilities operate in the context of complex occupations. This study assessed the role of cognitive abilities on the performance of three aviation-related jobs: flying, navigation, and air battle management (ABM). Correlated-factor and bifactor models were used to draw a conclusion about the predictive relations between cognitive abilities and job performance. Overall, the importance of particular cognitive abilities tends to vary across the three occupations, and each occupation has different sets of essential abilities. Importantly, the interplay of general versus specific abilities is different across occupations, and some specific abilities also show substantial predictive power.

Bifactor Structure of the Schizotypal Personality Questionnaire Across the Schizotypy Spectrum

Despite widespread use in schizophrenia-spectrum research, uncertainty remains around an empirically supported and theoretically meaningful factor structure of the Schizotypal Personality Questionnaire (SPQ). Current identified structures are limited by reliance on exclusively nonclinical samples. The current study compared factor structures of the SPQ in a sample of 335 nonpsychiatric individuals, 292 schizotypy-spectrum individuals (schizophrenia, schizoaffective disorder, or schizotypal personality disorder), and the combined group (N = 627). Unidimensional, correlated, and hierarchical models were assessed in addition to a bifactor model, wherein subscales load simultaneously onto a general factor and a specific factor. The best-fitting model across samples was a two-specific factor bifactor model, consistent with the nine symptom dimensions of schizotypy as primarily a direct manifestation of a unitary construct. Such findings, for the first time demonstrated in a clinical sample, have broad implications for transdiagnostic approaches, including reifying schizotypy as a construct underlying diverse manifestations of phenomenology across a wide range of severity.

The dimensionality of the Behavior Rating Inventory of Executive Function, Second Edition in a clinical sample

The parent-report Behavior Rating Inventory of Executive Function, Second Edition (BRIEF-2) is a widely used pediatric neuropsychological measure. Unfortunately, despite meaningful changes from its predecessor, few studies have examined its internal factor structure (now with Behavioral Regulation [BRI], Emotion Regulation [ERI], and Cognitive Regulation [CRI]), and no available literature has investigated higher order models for the BRIEF-2. This study sought to address this shortcoming in the literature by investigating and reporting on the dimensionality of the parent-report BRIEF-2 in a clinical sample. Two hundred and two (202) pediatric neuropsychology examinees (M age = 9.90; 68% males) with complete data for the parent-report BRIEF-2 were included. Descriptive results revealed generally elevated scores across BRIEF-2 scales (Global Executive Composite M T = 70.16). Exploratory factor analyses suggested two factors (CRI and BRI/ERI) should be extracted, and that higher order models should be considered. Confirmatory factor analyses suggested that a direct hierarchical/bifactor two-factor structure (which was more parsimonious than the theoretical three-factor model) provided the best fit, with a bulk of the variance explained by the general GEC factor. The BRIEF-2 may be best interpreted at the overall level, with relatively less weight given to the index variables, particularly within clinical samples with high levels of reported executive functioning difficulties. Implications of these findings, limitations of the present study, and appropriate directions for future inquiry were discussed.

Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach

The Difficulties in Emotion Regulation Scale (DERS), as one of the most frequently employed measures of emotion regulation (ER), has increasingly been used in numerous researches and applications. However, the structures derived from previous factor-analytic studies have a high degree of inconsistency. In the current study, both the traditional factor analysis method and novel (bifactor) modeling approaches were employed to examine the most optimal measurement structure of the DERS in a sample of 1036 Chinese participants. After a series of comparisons, the findings indicated that the bifactor model, with a general ER factor and four distinct subdimensions, was the most optimal structure for the DERS. Based on the study’s findings, the discussion was focused mainly on the future directions and the implications of this bifactor model. The impact and limitations of the study were also discussed, and several suggestions for future research were provided at the end of the paper.

Validity of the WISC-V in Youth with Autism Spectrum Disorder: Factor Structure and Measurement Invariance

Objective: Assessment of intellectual abilities in individuals with autism spectrum disorder (ASD) is a core component of a comprehensive diagnostic evaluation. However, relatively limited information is available regarding the validity of one of the most commonly-used measures of intelligence, the Wechsler Intelligence Scale for Children - 5th Edition (WISC-V) in ASD.Method: We investigated the factor structure and measurement invariance of the WISC-V in a sample of 349 children aged 6-16 diagnosed with ASD using single- and multi-group confirmatory factor analysis. The comparison group was the WISC-V standardization sample.Results: A four-index bifactor solution best fit the ASD group data. Measurement invariance analyses indicated support for configural and metric, but not scalar, invariance of the published 5-index structure, suggesting systematic differences in performance among some subscales in ASD. The 7-subtest FSIQ scale had partial scalar invariance after relaxing equality constraints on the Coding and Digit Span subtest intercepts, suggesting sources other than theorized IQ ability contribute to lower scores on these subtests within ASD. The Cognitive Proficiency Index (CPI) failed to demonstrate appropriate fit in baseline models. The General Ability Index (GAI) had full configural, metric, and scalar invariance.Conclusions: Statistical bias on the WISC-V within ASD in processing speed and working memory subtests creates significant limitations for the use of FSIQ and especially CPI index scores in ASD populations. The GAI showed strong measurement properties and should be considered as the preferred indicator of overall intellectual functioning when assessing children with ASD using the WISC-V.

Les progrès dans la réalisation de la classification quantitative de la psychopathologie☆

Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level" dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity" by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach.

Childbearing Motivation Questionnaire

O presente artigo objetiva descrever os procedimentos de adaptação e evidências iniciais de validade do Childbearing Motivation Questionnaire (CBQ) para o Brasil. O CBQ está constituído por duas escalas: a primeira avalia as motivações positivas para ter filhos (PCM) e a segunda, as motivações negativas (NCM). A adaptação foi realizada em cinco etapas: 1) tradução do instrumento; 2) síntese das versões traduzidas; 3) avaliação por juízes experts; 4) avaliação pelo público-alvo e 5) tradução reversa. Para a avaliação da estrutura fatorial realizou-se análises fatoriais exploratórias e confirmatórias em uma amostra de 1894 brasileiros de 18 a 68 anos de 25 estados do Brasil. A escala PCM apresentou uma solução fatorial de segunda ordem similar à proposta pelo autor enquanto a NCM apresentou uma estrutura unifatorial com boas propriedades psicométricas. Os resultados mostram o CBQ como um instrumento válido para a mensuração das motivações para ter filhos na população brasileira.

Don’t Use a Bifactor Model Unless You Believe the True Structure Is Bifactor

The current article provides a response to concerns raised by Dombrowski, McGill, Canivez, Watkins, & Beaujean (2020) regarding the methodological confounds identified by Decker, Bridges, Luedke, and Eason (2020) for using a bifactor (BF) model and Schmid–Leiman (SL) procedure in previous studies supporting a general factor of intelligence (i.e., “g”). While Dombrowski et al. (2020) raised important theoretical and practical issues, the theoretical justification for using a BF model and SL procedure to identify cognitive dimensions remain unaddressed, as well as significant concerns for using these statistical methods as the basis for informing the use of cognitive tests in clinical applications.

Testing structural models of psychopathology at the genomic level

Genome-wide association studies (GWAS) have revealed hundreds of genetic loci associated with the vulnerability to major psychiatric disorders, and post-GWAS analyses have shown substantial genetic correlations among these disorders. This evidence supports the existence of a higher-order structure of psychopathology at both the genetic and phenotypic levels. Despite recent efforts by collaborative consortia such as the Hierarchical Taxonomy of Psychopathology (HiTOP), this structure remains unclear. In this study, we tested multiple alternative structural models of psychopathology at the genomic level, using the genetic correlations among fourteen psychiatric disorders and related psychological traits estimated from GWAS summary statistics. The best-fitting model included four correlated higher-order factors - externalizing, internalizing, thought problems, and neurodevelopmental disorders - which showed distinct patterns of genetic correlations with external validity variables and accounted for substantial genetic variance in their constituent disorders. A bifactor model including a general factor of psychopathology as well as the four specific factors fit worse than the above model. Several model modifications were tested to explore the placement of some disorders - such as bipolar disorder, obsessive-compulsive disorder, and eating disorders - within the broader psychopathology structure. The best-fitting model indicated that eating disorders and obsessive-compulsive disorder, on the one hand, and bipolar disorder and schizophrenia, on the other, load together on the same thought problems factor. These findings provide support for several of the HiTOP higher-order dimensions and suggest a similar structure of psychopathology at the genomic and phenotypic levels.

Factor Analysis and Variance Partitioning in Intelligence Test Research: Clarifying Misconceptions

This article addresses conceptual and methodological shortcomings regarding conducting and interpreting intelligence test factor analytic research that appeared in the Decker, S. L., Bridges, R. M., Luedke, J. C., & Eason, M. J. (2020). Dimensional evaluation of cognitive measures: Methodological confounds and theoretical concerns. Journal of Psychoeducational Assessment. Advance online publication article.

Reconsidering the RBANS Factor Structure: a Systematic Literature Review and Meta-Analytic Factor Analysis

The primary aim was to perform a systematic literature review and extract data necessary for a meta-analytic factor analysis of the RBANS. Secondary aims were to examine the potential validity and utility of the resulting factor structure. Literature was identified through a review of PsycINFO, PubMed, MEDLINE, Academic Search Complete, Psychology & Behavioral Sciences Collection, CINAHL Complete, Health Source: Nursing/Academic Edition, and SocINDEX. A two-stage meta-analytic structural equation modeling method was implemented to pool correlation matrices from primary studies and perform confirmatory factor analyses. Following model selection, factor scores were computed for two datasets and subjected to correlation and diagnostic accuracy analyses. A pooled correlation matrix was computed from 24 sample correlation matrices (N = 5299). Confirmatory factor analysis revealed that the theoretical five-factor model produced the best fit but only when error terms between Story Memory and Story Recall as well as between Figure Copy and Figure Recall were included. Regression-based factor scores showed mixed relationships with the manual-defined indices, and the overall diagnostic accuracy of the factor scores was adequate in both samples examined (AUC = 0.71 and 0.87). The five-factor model was an unexpected result given the failure of multiple previous studies to find support for that model. The five-factor model demonstrates several areas of potential improvement, including better representation of the factors by the indicators. The factor scores implied by this model also require further validation.

Dimensional Evaluation of Cognitive Measures: Methodological Confounds and Theoretical Concerns

The current study provides a methodological review of studies supporting a general factor of intelligence as the primary model for contemporary measures of cognitive abilities. A further evaluation is provided by an empirical evaluation that compares statistical estimates using different approaches in a large sample of children (ages 9–13 years, N = 780) administered a comprehensive battery of cognitive measures. Results from this study demonstrate the ramifications of using the bifactor and Schmid–Leiman (BF/SL) technique and suggest that using BF/SL methods limit interpretation of cognitive abilities to only a general factor. The inadvertent use of BF/SL methods is demonstrated to impact both model dimensionality and variance estimates for specific measures. As demonstrated in this study, conclusions from both exploratory and confirmatory studies using BF/SL methods are significantly questioned, especially for studies with a questionable theoretical basis. Guidelines for the interpretation of cognitive test scores in applied practice are discussed.

The wide-ranging life outcome correlates of a general psychopathology factor in adolescent psychopathology

BACKGROUND

The structure of psychopathology has been much debated within the research literature. This study extends previous work by providing comparisons of the links between psychopathology and several life outcomes (temperamental, economic, social, psychological and health) using a three-correlated-factors model, a bifactor model, a revised-bifactor model and a higher-order model.

METHODS

Data from a sample of Dutch adolescents were used (n = 2 230), and psychopathology factors were modelled using self-reported and parent-reported longitudinal data from youth across four assessments during adolescence, from ages 11 to 19. Outcome variables were assessed at age 22 using adolescent-reports and parent-reports and more objective measures (e.g. body mass index).

RESULTS

While no measurement model was clearly superior, we found modest associations between the psychopathology factors and life outcomes. Importantly, after taking into account a general factor, the associations with life outcomes decreased for the residual parts of thought problems (across all domains) and internalizing problems (for temperamental and psychological outcomes), but not for externalizing problems, compared with the traditional three-correlated-factors model. Patterns were similar for adolescent-reported and parent-reported data.

CONCLUSIONS

Findings suggest that a general factor is related to psychopathology and life outcomes in a meaningful way. Results are discussed in terms of individual differences in propensity to psychopathology and more broadly in light of recent developments concerning the structure of psychopathology. © 2019 The Authors Personality and Mental Health Published by John Wiley & Sons Ltd.

A comprehensive analysis of the factor structure of the Beck Depression Inventory-II in a sample of outpatients with adjustment disorder and depressive episode

OBJECTIVES

Despite being commonly used in research and clinical practice, the evidence regarding the factor structure of the Beck Depression Inventory-II (BDI-II) remains equivocal and this has implications on how the scale scores should be aggregated. Researchers continue to debate whether the BDI-II is best viewed as a unidimensional scale, or whether specific subscales have utility. The present study sought to test a comprehensive range of competing factor analytic models of the BDI-II, including traditional non-hierarchical multidimensional models and confirmatory bifactor models.

METHOD

Participants (n=370) were clinical outpatients diagnosed with either depressive episode or adjustment disorder. Confirmatory factor analysis and confirmatory bifactor modelling were used to test 15 competing models. The unidimensionality of the best fitting model was assessed using three strength indices (explained common variance, percentage of uncontaminated correlations and ω hierarchical).

RESULTS

Overall, bifactor solutions provided superior fit than both unidimensional and non-hierarchical multidimensional models. The best fitting model consisted of a general depression factor and three specific factors: cognitive, somatic and affective. High factor loadings and strength indices for the general depression factor supported the view that the BDI-II measures a single latent construct.

CONCLUSIONS

The BDI-II should primarily be viewed as a unidimensional scale, and should be scored as such. Although it is not recommended that scores on individual subscales are used in isolation, they may prove useful in clinical assessment and/or treatment planning if used in conjunction with total scores.

A choose your own adventure story: Conceptualizing depression in children and adolescents from traditional DSM and alternative latent dimensional approaches

For the past several decades, the phenomenon of depression largely has been defined, classified, and thus assessed and analyzed, according to criteria based on the Diagnostic and Statistical Manual (now DSM5). A substantial body of knowledge on epidemiology, course, risk factors, correlates, consequences, assessment, and intervention for youth depression is based on this classical nosological approach to conceptualizing depression. Yet, recent structural and classification approaches, such as latent dimensional bifactor models (e.g., P factor model; Caspi et al., 2014) and hierarchical organizations (e.g., HiTOP; Kotov, Waszczuk, Krueger, Forbes, & Watson, 2017), have been proposed and supported as alternative options to characterize features of depression. This paper considers conceptualizations of depression among youth with a particular focus on validity: how important clinical outcomes and risks (genetic, neural, temperament, early pubertal timing, stress, and cognitive) relate to depression when ascertained via traditional DSM-defined depression versus more recent latent dimensional model approaches. The construct validity of depression, in terms of associations within respective nomological networks, varies by depression conceptualization. Clinical scientists and applied practitioners need to clearly think through the nature of what depression is and how the latent construct is conceptualized and measured. Conclusions reached for research, teaching, and evidence-based clinical work are affected and may not be the same across different conceptual and nosological organizational schemes.

Psychometric Evaluation of the Bilingual English-Spanish Assessment Sentence Repetition Task for Clinical Decision Making

Purpose The purpose of this study was (a) to examine the underlying components or factor structure of the Bilingual English-Spanish Assessment (BESA; Peña, Gutiérrez-Clellen, Iglesias, Goldstein, & Bedore, 2014 ) sentence repetition task and (b) to examine the relationship between Spanish-English speaking children's sentence repetition and vocabulary performance. Method Participants were 291 Spanish-English speaking children in kindergarten and 1st grade. Item analyses were used to evaluate the underlying factor structure for each language version of the sentence repetition tasks of the BESA. The tasks were then examined in relation to a measure of English receptive vocabulary. Results Bifactor models, which include a single underlying general factor and multiple specific factors, provided the best overall model fit for both the Spanish and English versions of the task. There was no relation between children's overall Spanish sentence repetition performance and their English vocabulary. However, children's pronoun, noun phrase, and verb phrase item scores in Spanish significantly predicted their English vocabulary scores. For English sentence repetition, both children's overall performance and their specific performance on the noun phrase items were predictors of their English vocabulary scores. Follow-up analyses revealed that, for the purposes of clinical assessment, the BESA sentence repetition tasks can be considered essentially unidimensional, lending support to the current scoring structure of the test. Conclusions Study findings suggest that sentence repetition tasks can provide insight into Spanish-English speaking children's vocabulary skills in addition to their morphosyntactic skills when used on a broad research scale. From a clinical assessment perspective, results indicate that the sentence repetition task has strong internal validity and support to the use of this measure in clinical practice.

Parsing neurodevelopmental features of irritability and anxiety: Replication and validation of a latent variable approach

Irritability and anxiety are two common clinical phenotypes that involve high-arousal negative affect states (anger and fear), and that frequently co-occur. Elucidating how these two forms of emotion dysregulation relate to perturbed neurodevelopment may benefit from alternate phenotyping strategies. One such strategy applies a bifactor latent variable approach that can parse shared versus unique mechanisms of these two phenotypes. Here, we aim to replicate and extend this approach and examine associations with neural structure in a large transdiagnostic sample of youth (N = 331; M = 13.57, SD = 2.69 years old; 45.92% male). FreeSurfer was used to extract cortical thickness, cortical surface area, and subcortical volume. The current findings replicated the bifactor model and demonstrate measurement invariance as a function of youth age and sex. There were no associations of youth's factor scores with cortical thickness, surface area, or subcortical volume. However, we found strong convergent and divergent validity between parent-reported irritability and anxiety factors with clinician-rated symptoms and impairment. A general negative affectivity factor was robustly associated with overall functional impairment across symptom domains. Together, these results support the utility of the bifactor model as an alternative phenotyping strategy for irritability and anxiety, which may aid in the development of targeted treatments.

Decoupling Personality and Acute Psychiatric Symptoms in a Depressed Sample and a Community Sample

The association between depression and neuroticism is complex, but due to the difficulty in assessing neuroticism during mood episodes, the mechanisms underlying this relationship remain poorly understood. In this study, we sought to decompose neuroticism into finer-grained elements that were uncorrelated with psychiatric symptoms and to examine the incremental validity of those elements in explaining deficits in interpersonal functioning. A bifactor model with one general factor and six specific factors fit the data well in both a depressed (N=807) and a community (N=1,284) sample, and the specific factors were relatively independent of acute symptoms. Moreover, two specific factors (Angry Hostility and Self-Consciousness) accounted for incremental variance in interpersonal functioning problems in the community sample and in a subgroup of depressed participants. The results demonstrate that neuroticism can be decomposed into components that are distinct from symptoms and that are incrementally associated with deficits in interpersonal functioning.

Furthering the Understanding of Wechsler Adult Intelligence Scale-Fourth Edition Factor Structure in a Clinical Sample

The Wechsler Adult Intelligence Scale, Fourth Edition (WAIS-IV) is a commonly administered battery for assessing intellectual and cognitive abilities. Despite its popularity, construct validation studies primarily utilize the WAIS-IV normative sample rather than ecologically-valid clinical samples. The current study expands the literature on the validity of WAIS-IV by testing a bifactor model in such a sample. We examined archival data from 300 concurrent psychological evaluations performed at a university-based community clinic. Participants received the full WAIS-IV standard battery. Consistent with recent literature, confirmatory factor analyses (CFAs) favored a direct hierarchical model, where the g factor has a direct influence on WAIS-IV subtest performance and index scores explain only modest degrees of residual variance. Results challenge traditional intelligence nosologies and suggest consideration of a two-step method of WAIS-IV interpretation in clinical samples, whereby the Full Scale IQ score (FSIQ) score is examined first and individual subtest scores are analyzed second.