Bifactor and Hierarchical Models: Specification, Inference, and Interpretation

The Strengths and Difficulties Questionnaire Dysregulation Profile Teacher-Report: Psychometric Properties and Associations with Aspects of School Experience

Emotional, cognitive, and behavioral dysregulation is a risk factor for severe outcomes, calling for reliable measures to assess it, including the Strengths and Difficulties Questionnaire Dysregulation Profile (SDQ-DP) defined by 5 or 15 items. This study explored for the first time the factor structure, internal consistency, and test-retest reliability of the SDQ-DPs teacher-report in a sample of Italian children (N = 1000; age 7-12 years). The gender invariance of the SDQ-DPs, construct validity, and associations with school variables were also evaluated. A first-order model for the SDQ-DP 5-item and a bifactor model for the SDQ-DP 15-item best fitted the data. Full measurement invariance across gender was confirmed only for the 15-item scale. Internal and test-retest reliabilities were weaker for the 5-item scale. Both SDQ-DPs were similarly associated with a measure of emotion regulation skills and some school variables. This study provides indications for a more conscious use of the two scales.

Empirical Investigation of Different Factor Structures for the Eating Disorder Examination-Questionnaire in Adult Women With Anorexia Nervosa

The Eating Disorder Examination-Questionnaire (EDE-Q) is a widely used self-report measure of eating pathology. Despite widespread use, investigations of its factor structure have proved inconclusive and rarely supported the "original" interpretation. The current study evaluates several proposed factor solutions of the EDE-Q using latent variable analysis in a sample of adult women with anorexia nervosa (AN). A total of 804 patients from a specialist treatment center in the United States participated in the study. Confirmatory factor analysis was conducted on 22 EDE-Q items assessing attitudinal features of eating pathology. Findings suggested that three full-item versions (none of which was the "original" interpretation) fit the data adequately, with a brief, seven-item version showing excellent fit. The study is one of the first to examine this within a sample of women with AN and provides an empirical foundation for how best to use the EDE-Q among clinical and research participants with AN. Findings suggest that the "original" factor structure lacks structural validity in women with AN. Its use should generally be discouraged, and future work on screening and treatment outcomes might consider the EDE-Q7.

Measurement Invariance in Longitudinal Bifactor Models: Review and Application Based on the p Factor

Bifactor models are increasingly being utilized to study latent constructs such as psychopathology and cognition, which change over the lifespan. Although longitudinal measurement invariance (MI) testing helps ensure valid interpretation of change in a construct over time, this is rarely and inconsistently performed in bifactor models. Our review of MI simulation literature revealed that only one study assessed MI in bifactor models under limited conditions. Recommendations for how to assess MI in bifactor models are suggested based on existing simulation studies of related models. Estimator choice and influence of missing data on MI are also discussed. An empirical example based on a model of the general psychopathology factor (p) elucidates our recommendations, with the present model of p being the first to exhibit residual MI across gender and time. Thus, changes in the ordered-categorical indicators can be attributed to changes in the latent factors. However, further work is needed to clarify MI guidelines for bifactor models, including considering the impact of model complexity and number of indicators. Nonetheless, using the guidelines justified herein to establish MI allows findings from bifactor models to be more confidently interpreted, increasing their comparability and utility.

The complexity of treatment-resistant depression: A data-driven approach

BACKGROUND

Recent systematic reviews highlight great variability in defining and assessing treatment-resistant depression (TRD). A key problem is that definitions are consensus rather than data-led. This study seeks to offer a comprehensive socio-demographic and clinical description of a relevant sample.

METHODS

As part of a pragmatic randomized controlled trial, patients (N = 129) were managed in primary care for persistent depression and diagnosed with TRD. Data included previous treatment attempts, characteristics of the depressive illness, functioning, quality of life, co-occurring problems including suicidality, psychiatric and personality disorders, physical health conditions, and adverse events.

RESULTS

Findings show a severe and chronic course of depression with a duration of illness of 25+ years. Overall, 82.9 % had at least one other psychiatric diagnosis and 82.2 % at least one personality disorder; 69.8 % had significant musculoskeletal, gastrointestinal, genitourinary, or cardiovascular and respiratory physical health problems. All but 14 had severe difficulties in social and occupational functioning and reported severely impaired quality of life. Suicidal ideation was high: 44.9 % had made at least one serious suicide attempt and several reported multiple attempts with 17.8 % reporting a suicide attempt during childhood or adolescence. Of the patients, 79.8 % reported at least one adverse childhood experience.

LIMITATIONS

Potential for recall bias, not examining possible interactions, and absence of a control group.

CONCLUSIONS

Our findings reveal a complex and multifaceted condition and call for an urgent reconceptualization of TRD, which encompasses many interdependent variables and experiences. Individuals with TRD may be at a serious disadvantage in terms of receiving adequate treatment.

A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra

There is considerable comorbidity across externalizing and internalizing behavior dimensions of psychopathology. We applied genomic structural equation modeling (gSEM) to genome-wide association study (GWAS) summary statistics to evaluate the factor structure of externalizing and internalizing psychopathology across 16 traits and disorders among European-ancestry individuals (n's = 16,400 to 1,074,629). We conducted GWAS on factors derived from well-fitting models. Downstream analyses served to identify biological mechanisms, explore drug repurposing targets, estimate genetic overlap between the externalizing and internalizing spectra, and evaluate causal effects of psychopathology liability on physical health. Both a correlated factors model, comprising two factors of externalizing and internalizing risk, and a higher-order single-factor model of genetic effects contributing to both spectra demonstrated acceptable fit. GWAS identified 409 lead single nucleotide polymorphisms (SNPs) associated with externalizing and 85 lead SNPs associated with internalizing, while the second-order GWAS identified 256 lead SNPs contributing to broad psychopathology risk. In bivariate causal mixture models, nearly all externalizing and internalizing causal variants overlapped, despite a genetic correlation of only 0.37 (SE = 0.02) between them. Externalizing genes showed cell-type specific expression in GABAergic, cortical, and hippocampal neurons, and internalizing genes were associated with reduced subcallosal cortical volume, providing insight into the neurobiological underpinnings of psychopathology. Genetic liability for externalizing, internalizing, and broad psychopathology exerted causal effects on pain, general health, cardiovascular diseases, and chronic illnesses. These findings underscore the complex genetic architecture of psychopathology, identify potential biological pathways for the externalizing and internalizing spectra, and highlight the physical health burden of psychiatric comorbidity.

A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra

There is considerable comorbidity across externalizing and internalizing behavior dimensions of psychopathology. We applied genomic structural equation modeling (gSEM) to genome-wide association study (GWAS) summary statistics to evaluate the factor structure of externalizing and internalizing psychopathology across 16 traits and disorders among European-ancestry individuals (n's = 16,400 to 1,074,629). We conducted GWAS on factors derived from well-fitting models. Downstream analyses served to identify biological mechanisms, explore drug repurposing targets, estimate genetic overlap between the externalizing and internalizing spectra, and evaluate causal effects of psychopathology liability on physical health. Both a correlated factors model, comprising two factors of externalizing and internalizing risk, and a higher-order single-factor model of genetic effects contributing to both spectra demonstrated acceptable t. GWAS identified 409 lead single nucleotide polymorphisms (SNPs) associated with externalizing and 85 lead SNPs associated with internalizing, while the second-order GWAS identified 256 lead SNPs contributing to broad psychopathology risk. In bivariate causal mixture models, nearly all externalizing and internalizing causal variants overlapped, despite a genetic correlation of only 0.37 (SE = 0.02) between them. Externalizing genes showed cell-type specific expression in GABAergic, cortical, and hippocampal neurons, and internalizing genes were associated with reduced subcallosal cortical volume, providing insight into the neurobiological underpinnings of psychopathology. Genetic liability for externalizing, internalizing, and broad psychopathology exerted causal effects on pain, general health, cardiovascular diseases, and chronic illnesses. These findings underscore the complex genetic architecture of psychopathology, identify potential biological pathways for the externalizing and internalizing spectra, and highlight the physical health burden of psychiatric comorbidity.

Resilience in Nurses: The Reliability and Validity of the Resilience ScaleTM

Background and Purpose: The Resilience ScaleTM (RS) RS-25 and shortened RS-14 have measured resilience but not with nurses. Our purpose was to investigate both for nurses. Methods: A random sample of 345 registered nurses from the North Carolina Board of Nursing completed an online questionnaire. Parallel analysis, factor analysis, and receiver operating characteristic analysis were performed. Results: Previous RS factor models had poor confirmatory factor analysis fit. Exploratory factor analysis and item analyses suggested removing items. Good fit was found for an "RS-13" using a bifactor approach. Adequate internal consistency was demonstrated (omega = 0.77-0.90). The RS-13 general factor gave similar accuracy for bullying, physical and mental quality of life, stress, and intent to leave. Conclusions: A shortened RS is comparable in reliability, construct, and convergent validity. It measures nurse resilience well.

The Misinformation Susceptibility Test (MIST): A psychometrically validated measure of news veracity discernment

Interest in the psychology of misinformation has exploded in recent years. Despite ample research, to date there is no validated framework to measure misinformation susceptibility. Therefore, we introduce Verification done, a nuanced interpretation schema and assessment tool that simultaneously considers Veracity discernment, and its distinct, measurable abilities (real/fake news detection), and biases (distrust/naïvité-negative/positive judgment bias). We then conduct three studies with seven independent samples (Ntotal = 8504) to show how to develop, validate, and apply the Misinformation Susceptibility Test (MIST). In Study 1 (N = 409) we use a neural network language model to generate items, and use three psychometric methods-factor analysis, item response theory, and exploratory graph analysis-to create the MIST-20 (20 items; completion time < 2 minutes), the MIST-16 (16 items; < 2 minutes), and the MIST-8 (8 items; < 1 minute). In Study 2 (N = 7674) we confirm the internal and predictive validity of the MIST in five national quota samples (US, UK), across 2 years, from three different sampling platforms-Respondi, CloudResearch, and Prolific. We also explore the MIST's nomological net and generate age-, region-, and country-specific norm tables. In Study 3 (N = 421) we demonstrate how the MIST-in conjunction with Verification done-can provide novel insights on existing psychological interventions, thereby advancing theory development. Finally, we outline the versatile implementations of the MIST as a screening tool, covariate, and intervention evaluation framework. As all methods are transparently reported and detailed, this work will allow other researchers to create similar scales or adapt them for any population of interest.

Positive time use: a missing link between time perspective, time management, and well-being

Introduction

The notion of satisfaction with the use of one's time has not been operationalized previously. Based on qualitative interviews, we propose a concept of positive time use comprised by four components: self-congruence of daily activities, balance between activities, efficient use of time, and a sense of mastery over one's time.

Methods

Using data from two UK adult samples (N = 173 and N = 357), we developed a new measure, Positive Time Use Inventory (PTUI), and investigated its structural and convergent validity.

Results and discussion

The associations of positive time use with balanced time perspective, affect balance, satisfaction with life, sense of coherence, and self-reported satisfaction with time use indicate convergent and discriminant validity of the new measure. Positive time use partially explained the associations of balanced time perspective with subjective well-being and fully mediated the effects of future time perspective and time management on subjective well-being. We propose positive time use as a new model of temporal well-being, which brings together the notions of work-life balance, time efficiency, and time mastery in a single comprehensive framework, helping to inform the time management coaching interventions.

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.

The Sensitivity to Pain Traumatization Scale-Child Version (SPTS-C): Development and preliminary validation

Background

Sensitivity to pain traumatization is defined as the propensity to develop cognitive, affective, and behavioral responses to pain that resemble a traumatic stress reaction. To date, sensitivity to pain traumatization has been assessed in adults (Sensitivity to Pain Traumatization Scale [SPTS-12]) and parents of youth with chronic pain (Sensitivity to Pain Traumatization Scale-Parent version [SPTS-P]). SPT may be relevant in the context of pediatric chronic pain given the substantial comorbidity between posttraumatic stress symptoms and pain.

Aims

This prospective study aimed to adapt the SPTS-12 for use in youth and to evaluate the psychometric properties of the new scale.

Methods

Participants included 175 youth with chronic pain (Mage = 14.31 years, 73% girls) referred to outpatient chronic pain programs. At baseline, youth self-reported the levels of their sensitivity to pain traumatization (Sensitivity to Pain Traumatization Scale-Child version [SPTS-C]), as well as their pain symptoms, pain-related anxiety, posttraumatic stress symptoms, and attentional control. Three months later, youth self-reported their pain symptoms and completed the SPTS-C.

Results

The SPTS-C had a one-factor structure that explained 48% of variance and demonstrated good reliability and construct validity. SPTS-C baseline scores predicted follow-up levels of pain interference but not pain intensity or pain unpleasantness.

Conclusions

The results provide preliminary evidence for the psychometric properties of the SPTS-C and the potential role of SPT in pediatric chronic pain outcomes.

Problems of Domain Factors with Small Factor Loadings in Bi-Factor Models

Many measurement designs produce domain factors with small variances and factor loadings. The current study investigates the cause, prevalence, and problematic consequences of such domain factors. We collected a meta-analytic sample of empirical applications, conducted a simulation study on statistical power and estimation precision, and provide a reanalysis of an empirical example. The meta-analysis shows that about a quarter of all standardized domain factor loadings is in the range of - .2 < λ < .2 and about a third of all domains is measured by five or fewer indicators, resulting in small factor variances. The simulation study examines the associated difficulties concerning statistical power, trait recovery, irregular estimates, and estimation precision for a range of such realistic cases. The empirical example illustrates the challenge to develop measures that produce clearly interpretable domain factors. Study planning and interpretation need to take the (expected) sum of squared factor loadings per domain factor into account. This is relevant even if influences of domain factors are desired to be small, and equally applies to different model variants. We propose several strategies for how researchers may better unlock the bifactor model's full potential and clarify its interpretation.

Measuring Compulsivity as a Self-Reported Multidimensional Transdiagnostic Construct: Large-Scale (N = 182,000) Validation of the Cambridge-Chicago Compulsivity Trait Scale

Compulsivity has potential transdiagnostic relevance to a range of psychiatric disorders, but it has not been well-characterized and there are few existing measures available for measuring the construct across clinical and nonclinical samples that have been validated at large population scale. We aimed to characterize the multidimensional latent structure of self-reported compulsivity in a population-based sample of British children and adults (N = 182,145) using the Cambridge-Chicago Compulsivity Trait Scale (CHI-T). Exploratory structural equation modeling provided evidence for a correlated two-factor model consisting of (a) Perfectionism and (b) Reward Drive dimensions. Evidence was obtained for discriminant validity in relation to the big five personality dimensions and acceptable test-retest reliability. The CHI-T, here validated at extremely large scale, is suitable for use in studies seeking to understand the correlates and basis of compulsivity in clinical and nonclinical participants. We provide extensive normative data to facilitate interpretation in future studies.

A General Theorem and Proof for the Identification of Composed CFA Models

In this article, we present a general theorem and proof for the global identification of composed CFA models. They consist of identified submodels that are related only through covariances between their respective latent factors. Composed CFA models are frequently used in the analysis of multimethod data, longitudinal data, or multidimensional psychometric data. Firstly, our theorem enables researchers to reduce the problem of identifying the composed model to the problem of identifying the submodels and verifying the conditions given by our theorem. Secondly, we show that composed CFA models are globally identified if the primary models are reduced models such as the CT-C[Formula: see text] model or similar types of models. In contrast, composed CFA models that include non-reduced primary models can be globally underidentified for certain types of cross-model covariance assumptions. We discuss necessary and sufficient conditions for the global identification of arbitrary composed CFA models and provide a Python code to check the identification status for an illustrative example. The code we provide can be easily adapted to more complex models.

Transdiagnostic biomarkers of mental illness across the lifespan: A systematic review examining the genetic and neural correlates of latent transdiagnostic dimensions of psychopathology in the general population

This systematic review synthesizes evidence from research investigating the biological correlates of latent transdiagnostic dimensions of psychopathology (e.g., the p-factor, internalizing, externalizing) across the lifespan. Eligibility criteria captured genomic and neuroimaging studies investigating general and/or specific dimensions in general population samples across all age groups. MEDLINE, Embase, and PsycINFO were searched for relevant studies published up to March 2023 and 46 studies were selected for inclusion. The results revealed several biological correlates consistently associated with transdiagnostic dimensions of psychopathology, including polygenic scores for ADHD and neuroticism, global surface area and global gray matter volume. Shared and unique associations between symptom dimensions are highlighted, as are potential age-specific differences in biological associations. Findings are interpreted with reference to key methodological differences across studies. The included studies provide compelling evidence that the general dimension of psychopathology reflects common underlying genetic and neurobiological vulnerabilities that are shared across diverse manifestations of mental illness. Substantive interpretations of general psychopathology in the context of genetic and neurobiological evidence are discussed.

Dissecting Schizotypy and Its Association With Cognition and Polygenic Risk for Schizophrenia in a Nonclinical Sample

Schizotypy is a multidimensional construct that captures a continuum of risk for developing schizophrenia-spectrum psychopathology. Existing 3-factor models of schizotypy, consisting of positive, negative, and disorganized dimensions have yielded mixed evidence of genetic continuity with schizophrenia using polygenic risk scores. Here, we propose an approach that involves splitting positive and negative schizotypy into more specific subdimensions that are phenotypically continuous with distinct positive symptoms and negative symptoms recognized in clinical schizophrenia. We used item response theory to derive high-precision estimates of psychometric schizotypy using 251 self-report items obtained from a non-clinical sample of 727 (424 females) adults. These subdimensions were organized hierarchically using structural equation modeling into 3 empirically independent higher-order dimensions enabling associations with polygenic risk for schizophrenia to be examined at different levels of phenotypic generality and specificity. Results revealed that polygenic risk for schizophrenia was associated with variance specific to delusional experiences (γ = 0.093, P = .001) and reduced social interest and engagement (γ = 0.076, P = .020), and these effects were not mediated via the higher-order general, positive, or negative schizotypy factors. We further fractionated general intellectual functioning into fluid and crystallized intelligence in 446 (246 females) participants that underwent onsite cognitive assessment. Polygenic risk scores explained 3.6% of the variance in crystallized intelligence. Our precision phenotyping approach could be used to enhance the etiologic signal in future genetic association studies and improve the detection and prevention of schizophrenia-spectrum psychopathology.

Characterizing the phenotypic and genetic structure of psychopathology in UK Biobank

Mental conditions exhibit a higher-order transdiagnostic factor structure which helps to explain the widespread comorbidity observed in psychopathology. However, the phenotypic and genetic structures of psychopathology may differ, raising questions about the validity and utility of these factors. Here, we study the phenotypic and genetic factor structures of ten psychiatric conditions using UK Biobank and public genomic data. Although the factor structure of psychopathology was generally genetically and phenotypically consistent, conditions related to externalizing (e.g., alcohol use disorder) and compulsivity (e.g., eating disorders) exhibited cross-level disparities in their relationships with other conditions, plausibly due to environmental influences. Domain-level factors, especially thought disorder and internalizing factors, were more informative than a general psychopathology factor in genome-wide association and polygenic index analyses. Collectively, our findings enhance the understanding of comorbidity and shared etiology, highlight the intricate interplay between genes and environment, and offer guidance for psychiatric research using polygenic indices.

Examining the latent structure and correlates of sensory reactivity in autism: a multi-site integrative data analysis by the autism sensory research consortium

BACKGROUND

Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these "supra-modal" traits in the autistic population.

METHODS

Leveraging a combined sample of 3868 autistic youth drawn from 12 distinct data sources (ages 3-18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a "general response pattern" factor for each supra-modal construct and determine the added value of "modality-specific response pattern" scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO, and SEEK (sub)constructs.

RESULTS

All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses supported the validity of a supra-modal HYPER construct (ωH = .800) but not a supra-modal HYPO construct (ωH = .653), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ωH = .800; 4/7 modalities). Modality-specific subscales demonstrated significant added value for all response patterns. Meta-analytic correlations varied by construct, although sensory features tended to correlate most with other domains of core autism features and co-occurring psychiatric symptoms (with general HYPER and speech HYPO demonstrating the largest numbers of practically significant correlations).

LIMITATIONS

Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to caregiver report of observable behaviors and excluded multisensory items that reflect many "real-world" sensory experiences.

CONCLUSION

Of the three sensory response patterns, only HYPER demonstrated sufficient evidence for valid interpretation at the supra-modal level, whereas supra-modal HYPO/SEEK constructs demonstrated substantial psychometric limitations. For clinicians and researchers seeking to characterize sensory reactivity in autism, modality-specific response pattern scores may represent viable alternatives that overcome many of these limitations.

Cross-National Generalizability of WISC-V and CHC Broad Ability Constructs across France, Spain, and the US

The Cattell-Horn-Carroll (CHC) model is based on psychometric cognitive ability research and is the most empirically supported model of cognitive ability constructs. This study is one in a series of cross-national comparisons investigating the equivalence and generalizability of psychological constructs which align with the CHC model. Previous research exploring the cross-cultural generalizability of cognitive ability measures concluded that the factor analytic models of cognitive abilities generalize across cultures and are compatible with well-established CHC constructs. The equivalence of the psychological constructs, as measured by the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V), has been established across English-speaking samples. However, few studies have explored the equivalence of psychological constructs across non-English speaking, nationally representative samples. This study explored the equivalence of the WISC-V five-factor model across standardization samples from France, Spain, and the US. The five-factor scoring model demonstrated excellent fit across the three samples independently. Factorial invariance was investigated and the results demonstrated strict factorial invariance across France, Spain, and the US. The results provide further support for the generalizability of CHC constructs across Western cultural populations that speak different languages and support the continued use and development of the CHC model as a common nomenclature and blueprint for cognitive ability researchers and test developers. Suggestions for future research on the CHC model of intelligence are discussed.

Attitudes towards death and dying among intensive care professionals: A cross-sectional design evaluating culture-related differential item functioning of the frommelt attitudes toward care of the dying instrument

Objective

The objective is to examine whether one of the most used instruments for measuring attitudes towards caring for dying patients, the Frommelt Attitude Toward Care of the Dying (FATCOD-B) instrument, has the same meaning across different societal contexts, as exemplified by Swedish and Saudi Arabian intensive care professionals.

Methods

A cross-sectional design used the 30-item FATCOD-B questionnaire. It was distributed to intensive care professionals from Sweden and Saudi Arabia, generating a total sample of 227 participants. Ordinal logistic regression models were used to examine the differential item functioning (DIF) for each item.

Results

Up to 12 of the 30 items were found to have significant DIF values related to: (a) Swedish and Saudi Arabian intensive care professionals, (b) Swedish and Saudi Arabian registered nurses (RNs), (c) RNs' levels of experience and (d) RNs and other intensive care professionals in Saudi Arabia.

Conclusions

The results indicate that FATCOD should be used cautiously when comparing attitudes towards death and dying across different societal and healthcare contexts.

Factorial Validity of the German KABC-II at Ages 7 to 12 in a Clinical Sample: Four Factors Fit Better than Five

Multidimensional intelligence test batteries such as the KABC-II are widely used in clinical practice. Although validity evidence should be provided for all intended uses of a test, data on the factorial validity of the KABC-II mostly relies on the standardization samples and raises some concerns about the adequacy of the factor structure. Confirmatory factor analyses of the KABC-II core subtests were conducted in a sample of 627 children who had been assessed in German Centers for Social Pediatrics. The standard structure of the KABC-II was superior to unidimensional models but, as in previous research, evidenced cross-loadings and a high correlation between Planning/Gf and Simultaneous/Gv. Pattern Reasoning was more closely related to Simultaneous/Gv than to Planning/Gf. A four-factorial structure combining subtests from Planning/Gf and Simultaneous/Gv to form a common factor emerged as a better representation of the data. Story Completion showed a secondary loading on Knowledge/Gc. On average, most subtest variance was accounted for by the general factor. Models with bonus points for fast responses generally fitted worse than those without. Clinicians should be aware that Planning/Gf and Simultaneous/Gv measure both visual and fluid abilities. Scales of the KABC-II should not be interpreted as dimensions independent of the general factor.

Spanish and cross-cultural validation of the mind excessively wandering scale

Introduction

Over the last decade, excessive spontaneous mind wandering (MW) has been consistently associated with emotional disorders. The main aims of the present study were (1) to re-examine the factor structure of the Mind Excessively Wandering Scale (MEWS); (2) to validate the Spanish version of the MEWS; and (3) to conduct a cross-cultural validation of the MEWS in Spanish and UK samples.

Methods

A forward/backward translation to Spanish was conducted. Data of 391 Spanish and 713 British non-clinical individuals were analysed.

Results

A revised 10-item version of the MEWS (MEWS-v2.0) demonstrated to be a valid instrument to assess MW. A 2-correlated factor structure properly captured the MEWS-v2.0 variance, accounting for two specific but interrelated dimensions (Uncontrolled thoughts and Mental Overactivity).

Discussion

The Spanish MEWS-v2.0 showed adequate internal consistency and construct validity, as well as appropriate convergent/divergent validity. Cross-cultural analyses showed that MEWS-v2.0 captured the same construct in both UK and Spanish samples. In conclusion, both Spanish and English MEWS-v2.0 demonstrated to be reliable measures to capture spontaneous MW phenomenon in non-clinical adult populations.

Bifactor analysis of the Hospital Anxiety and Depression Scale (HADS) in individuals with traumatic brain injury

Anxiety and depression symptoms are commonly experienced after traumatic brain injury (TBI). However, studies validating measures of anxiety and depression for this population are scarce. Using novel indices derived from symmetrical bifactor modeling, we evaluated whether the Hospital Anxiety and Depression Scale (HADS) reliably differentiated anxiety and depression in 874 adults with moderate-severe TBI. The results showed that there was a dominant general distress factor accounting for 84% of the systematic variance in HADS total scores. The specific anxiety and depression factors accounted for little residual variance in the respective subscale scores (12% and 20%, respectively), and overall, minimal bias was found in using the HADS as a unidimensional measure. Further, in a subsample of 184 participants, the HADS subscales did not clearly discriminate between formal anxiety and depressive disorders diagnosed via clinical interview. Results were consistent when accounting for degree of disability, non-English speaking background, and time post-injury. In conclusion, variance in HADS scores after TBI predominately reflects a single underlying latent variable. Clinicians and researchers should exercise caution in interpreting the individual HADS subscales and instead consider using the total score as a more valid, transdiagnostic measure of general distress in individuals with TBI.

Interpretational issues with the bifactor model: a commentary on 'Defining the p-Factor: An Empirical Test of Five Leading Theories' by Southward, Cheavens, and Coccaro

Southward, Cheavens, and Coccaro (2022, Psychological Medicine) conducted an ambitious investigation aimed at determining the nature of the general p factor of psychopathology by considering the correlation between the p factor and five candidate constructs. Generally, in this area of research, the bifactor model is preferred to the second order common factor model. In this commentary, we identify several interpretational issues concerning the bifactor model, which are based on a realistic psychometric view of latent variables. These issues may hamper the study of the nature of p factor model using the bifactor model.

Validation of the Attitudes Towards Psychological Online Interventions Questionnaire Among Black Americans: Cross-cultural Confirmatory Factor Analysis

BACKGROUND

Acceptability of digital mental health interventions is a significant predictor of treatment-seeking behavior and engagement. However, acceptability has been conceptualized and operationalized in various ways, which decreases measurement precision and leads to heterogeneous conclusions about acceptability. Standardized self-report measures of acceptability have been developed, which have the potential to ameliorate these problems, but none have demonstrated evidence for validation among Black communities, which limits our understanding of attitudes toward these interventions among racially minoritized groups with well-documented barriers to mental health treatment.

OBJECTIVE

This study aims to examine the psychometric validity and reliability of one of the first and most widely used measures of acceptability, the Attitudes Towards Psychological Online Interventions Questionnaire, among a Black American sample.

METHODS

Participants (N=254) were recruited from a large southeastern university and the surrounding metropolitan area and completed the self-report measure via a web-based survey. A confirmatory factor analysis using mean and variance adjusted weighted least squares estimation was conducted to examine the validity of the underlying hierarchical 4-factor structure proposed by the original authors of the scale. An alternative, hierarchical 2-factor structure model and bifactor model were examined for comparative fit.

RESULTS

The findings indicated that the bifactor model demonstrated a superior fit (comparative fit index=0.96, Tucker-Lewis index=0.94, standardized root mean squared residual=0.03, and root mean square error of approximation=0.09) compared with both 2- and 4-factor hierarchical structure models.

CONCLUSIONS

The findings suggest that, within a Black American sample, there may be greater utility in interpreting the Attitudes Towards Psychological Online Interventions Questionnaire subscales as attitudinal constructs that are distinct from the global acceptability factor. The theoretical and practical implications for culturally responsive measurements were explored.

On the Meaning of the "P Factor" in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(S-1) Perspective

Symmetrical bifactor models are frequently applied to diverse symptoms of psychopathology to identify a general P factor. This factor is assumed to mark shared liability across all psychopathology dimensions and mental disorders. Despite their popularity, however, symmetrical bifactor models of P often yield anomalous results, including but not limited to nonsignificant or negative specific factor variances and nonsignificant or negative factor loadings. To date, these anomalies have often been treated as nuisances to be explained away. In this article, we demonstrate why these anomalies alter the substantive meaning of P such that it (a) does not reflect general liability to psychopathology and (b) differs in meaning across studies. We then describe an alternative modeling framework, the bifactor-(S-1) approach. This method avoids anomalous results, provides a framework for explaining unexpected findings in published symmetrical bifactor studies, and yields a well-defined general factor that can be compared across studies when researchers hypothesize what construct they consider "transdiagnostically meaningful" and measure it directly. We present an empirical example to illustrate these points and provide concrete recommendations to help researchers decide for or against specific variants of bifactor structure.

Exploring the psychometric properties of the externalizing spectrum inventory-brief form in a Swedish forensic psychiatric inpatient sample

BACKGROUND

The Externalizing Spectrum Inventory-Brief Form (ESI-BF) [1] is a 160-item self-report instrument designed for the assessment of externalizing psychopathology, yet few studies to date have evaluated its psychometric properties, structural fit, and criterion validity in forensic psychiatric settings.

METHODS

Here, we investigated these aspects in a sample of forensic psychiatric inpatients (n = 77) from a maximum-security forensic psychiatric hospital in Sweden. We firstly investigated the reliability. Secondly, using confirmatory factor analysis, the structure of the ESI-BF. And thirdly, using a Bayesian approach, assessed how the three ESI-BF subfactors relate to criterion measures of antisocial behaviors, substance use, and lifetime externalizing spectrum diagnoses.

RESULTS

The ESI-BF demonstrated good to adequate reliability and internal consistency, with all but four facet scales exhibiting α and ω values ≥ 0.80. Average inter-item correlations for the facet scales ranged from 0.31 to 0.74. However, all structural models exhibited poor to mediocre fit, with model fit values for the CFI being 0.66, 0.79 and 0.87 and RMSEA values of 0.14, 0.12 and 0.09. for the unidimensional correlated factors and bifactor model, respectively. Regarding criterion validity, all subscales of the item-based ESI-BF three-factor model exhibited robust correlations with the Life History of Aggression total, aggression and antisocial/consequences subscales, with correlations ranging from 0.29 to 0.55. All ESI-BF subfactors demonstrated robust associations, yet with different externalizing outcomes, lending tentative support to its criterion validity.

CONCLUSION

Despite remaining ambiguities regarding its structural fit, the ESI-BF may be promising for assessing externalizing psychopathology in forensic psychiatric populations. However, further investigation of the ESI-BF is needed before any firm conclusions can be drawn about its appropriateness in forensic psychiatric settings.

Multivariate genomic architecture of cortical thickness and surface area at multiple levels of analysis

Recent work in imaging genetics suggests high levels of genetic overlap within cortical regions for cortical thickness (CT) and surface area (SA). We model this multivariate system of genetic relationships by applying Genomic Structural Equation Modeling (Genomic SEM) and parsimoniously define five genomic brain factors underlying both CT and SA along with a general factor capturing genetic overlap across all brain regions. We validate these factors by demonstrating the generalizability of the model to a semi-independent sample and show that the factors align with biologically and functionally relevant parcellations of the cortex. We apply Stratified Genomic SEM to identify specific categories of genes (e.g., neuronal cell types) that are disproportionately associated with pleiotropy across specific subclusters of brain regions, as indexed by the genomic factors. Finally, we examine genetic associations with psychiatric and cognitive correlates, finding that broad aspects of cognitive function are associated with a general factor for SA and that psychiatric associations are null. These analyses provide key insights into the multivariate genomic architecture of two critical features of the cerebral cortex.

Safety not guaranteed: Investigating employees' safety performance during a global pandemic

The COVID-19 pandemic threatened employees' health and safety more than any event in recent years. Although millions of employees transitioned to working from home to mitigate infectious disease exposure, many worksites re-opened amid the pandemic as high infection rates persisted longer than expected. Safety guidelines were issued by the Centers for Disease Control and Prevention, the World Health Organization, and other national initiatives to improve the health and safety of employees returning to on-site work. The current work addresses predictors of infection control safety behaviors in a general working population that largely lacks infection control training and expertise. Drawing from Neal and Griffin's model of safety behavior, we investigated organizational factors (i.e., perceived safety climate, safety-related organizational constraints, occupational risk of COVID-19 exposure) and individual factors (i.e., infection control safety attitudes, conscientiousness, and risk aversion) associated with employees' infection control safety behaviors shortly after returning to on-site work during the pandemic. Survey results from 89 full-time employees across industries demonstrated that the organizational and individual factors accounted for 51.19 percent of the variance in employees' infection control safety behaviors. Organizational factors accounted for 49.02 percent of the explained variance, and individual factors accounted for 50.98 percent of the explained variance. Conscientiousness, perceived safety climate, safety-related organizational constraints, and infection control safety attitudes explained significant variance in employees' infection control safety behaviors, while the occupational risk of COVID-19 exposure and risk aversion did not. Organizations may benefit from considering employees' conscientiousness and safety attitudes during employee selection as well as enhancing their organization's safety climate and mitigating safety-related organizational constraints.

Examining the Latent Structure and Correlates of Sensory Reactivity in Autism: A Multi-site Integrative Data Analysis by the Autism Sensory Research Consortium

Background Differences in responding to sensory stimuli, including sensory hyperreactivity (HYPER), hyporeactivity (HYPO), and sensory seeking (SEEK) have been observed in autistic individuals across sensory modalities, but few studies have examined the structure of these "supra-modal" traits in the autistic population. Methods Leveraging a combined sample of 3,868 autistic youth drawn from 12 distinct data sources (ages 3-18 years and representing the full range of cognitive ability), the current study used modern psychometric and meta-analytic techniques to interrogate the latent structure and correlates of caregiver-reported HYPER, HYPO, and SEEK within and across sensory modalities. Bifactor statistical indices were used to both evaluate the strength of a "general response pattern" factor for each supra-modal construct and determine the added value of "modality-specific response pattern" scores (e.g., Visual HYPER). Bayesian random-effects integrative data analysis models were used to examine the clinical and demographic correlates of all interpretable HYPER, HYPO and SEEK (sub)constructs. Results All modality-specific HYPER subconstructs could be reliably and validly measured, whereas certain modality-specific HYPO and SEEK subconstructs were psychometrically inadequate when measured using existing items. Bifactor analyses unambiguously supported the validity of a supra-modal HYPER construct (ω H  = .800), whereas a coherent supra-modal HYPO construct was not supported (ω H  = .611), and supra-modal SEEK models suggested a more limited version of the construct that excluded some sensory modalities (ω H  = .799; 4/7 modalities). Within each sensory construct, modality-specific subscales demonstrated substantial added value beyond the supra-modal score. Meta-analytic correlations varied by construct, although sensory features tended to correlate most strongly with other domains of core autism features and co-occurring psychiatric symptoms. Certain subconstructs within the HYPO and SEEK domains were also associated with lower adaptive behavior scores. Limitations: Conclusions may not be generalizable beyond the specific pool of items used in the current study, which was limited to parent-report of observable behaviors and excluded multisensory items that reflect many "real-world" sensory experiences. Conclusion Psychometric issues may limit the degree to which some measures of supra-modal HYPO/SEEK can be interpreted. Depending on the research question at hand, modality-specific response pattern scores may represent a valid alternative method of characterizing sensory reactivity in autism.

Adapting the Healthy Work Environment Assessment Tool for French-Canadian Intensive Care Nurses

BACKGROUND

Self-administered instruments are used to measure components of work environments that cannot be measured directly. The Healthy Work Environment Assessment Tool (HWEAT) of the American Association of Critical-Care Nurses is a promising instrument. However, it is available only in English and Japanese, precluding its use in other populations and cross-national comparisons.

OBJECTIVES

To describe the Canadian French translation and cross-cultural adaptation of the HWEAT (F-HWEAT) and to explore its factor structure and psychometric properties.

METHODS

Cross-cultural adaptation of the HWEAT and collection of evidence of validity via an electronic cross-sectional survey.

RESULTS

A total of 564 intensive care unit nurses participated in the validation study. Confirmatory factor analysis supported the presence of a single overarching factor measured by the F-HWEAT. The Cronbach α for the instrument was 0.89 (95% CI, 0.88-0.91). The mean and median interitem correlations were both 0.32, and item-partial total correlations ranged from 0.33 to 0.64. The overall F-HWEAT score indicated that nurses believed their work environment needed improvements. Moderate positive correlations were found between the overall F-HWEAT score and nurses' perceptions of care quality (r = 0.45 [95% CI, 0.38-0.51]) and safety (r = 0.48 [95% CI, 0.40-0.55]).

CONCLUSION

The results support the use of the F-HWEAT in French-speaking populations. Using the F-HWEAT will help elucidate areas needing improvement and expand global dialogues about healthy critical care work environments. With this information, nurse leaders and researchers can develop and implement modern strategies to improve the work conditions of intensive care unit nurses.

Validation of the Revised Multicultural Ideology Scale (MCI-r) in the UK

As worldwide migration continues to grow, valid and reliable instruments are needed to assess the psychological processes that influence the successful management of intercultural relations in different sociopolitical contexts. In this study, we test whether the original Multicultural Ideology Scale (MCI) required a revision to remain 'fit for purpose' in the current culturally plural context of the UK (MCI-r). Specifically, six subscales are proposed to underlie the construct of a multicultural ideology: Cultural Maintenance, Equity/Inclusion, Social interaction, Essentialistic Boundaries, Extent of Differences, and Consequences of Diversity. With data from 300 UK nationals, we tested the psychometric properties of the MCI-r using various confirmatory factor analysis techniques to estimate the scale's factor structure followed by convergent and discriminant validity tests. The results indicated that a 4-factor solution (Cultural Maintenance, Equity/Inclusion, Social interaction, and Consequences of Diversity) fitted the data best. All four subscales demonstrated adequate internal consistency as well as convergent and discriminant validity. All four subscales were also negatively correlated with a right-wing political orientation, whilst especially Social Interaction and Consequences of Diversity were positively associated with intergroup contact frequency across domains (work, family and friends and/or acquaintances). Finally, UK participants with personal migratory experiences reported a stronger belief in positive consequences of multiculturalism and more support for Social Interactions between members of different ethnic groups. Overall, findings provide first insights into the applicability of the MCI-r as a reliable and valid tool for the assessment of multiculturalism within the present UK context.

The Revised Child-to-Parent Aggressions Questionnaire: an Examination During the Covid-19 Pandemic

Purpose

Child-to-parent violence (CPV) is an important type of family violence that has been relatively understudied. This study examined the main psychometric properties of the revised Child-to-Parent Aggression Questionnaire (CPAQ-R), which examines both violent behaviors against parents and reasons for these behaviors. The aims included identifying the dimensions of CPV and examining the magnitude of CPV during the COVID-19 pandemic.

Methods

A sample of 1,244 adolescents (aged from 12 to 17) from several schools in the Basque Country completed the CPAQ-R. Several confirmatory factor analyses were conducted, including exploratory, confirmatory, exploratory structural equation modeling (ESEM), and bifactor analyses.

Results

The data supported a bifactor ESEM model in which a general factor of violence against parents explained aggressions against both mothers and fathers. In addition, three reasons for the violence emerged: instrumental, reactive, and defensive reasons. Rates of CPV during the COVID-19 pandemic were high, with 16.5% of adolescents reporting reiterative aggressions against their parents. There were no differences between aggressions against mothers and fathers.

Conclusions

The CPAQ-R is an adequate questionnaire for assessing CPV in adolescents. The confinement and restrictions placed on families during the COVID-19 pandemic may explain the high prevalence of CPV and shed light on possible differences related to the sex of the parents.

Impact of empowering leadership on emotional exhaustion: A controlled interventional study in a large French university hospital complex

AIM

The aim of this study is to assess the effect of a systemic intervention on the evolution of empowering leadership and emotional exhaustion in a university hospital sub-centre compared to a control sub-centre, both being part of a large French university hospital complex.

BACKGROUND

Empowering leadership is a promising strategy for developing hospital team engagement and performance. However, the bureaucratic functioning of large hospitals, characterized by a managerial culture of control and a stratified organization, can be a barrier to empowering leadership.

METHODS

The intervention included empowering leadership training, direct field experimentation of empowering leadership and coaching, involving all the sub-centre hierarchical levels for 12 months. Data were collected before and after the intervention. A total of 441 and 310 participants were, respectively, included in the intervention and control sub-centres.

RESULTS

Empowering leadership was decreased, and emotional exhaustion was increased in the control sub-centre, while the scores remained stable in the intervention sub-centre. The increased emotional exhaustion in the control sub-centre could partially be explained by the change in empowering leadership.

CONCLUSION

In a context of decreased empowering leadership and increased emotional exhaustion, the intervention had a protective effect. Implications for the design of future interventions were discussed.

IMPLICATIONS FOR NURSING MANAGEMENT

This study unequivocally showed the benefit of transforming hospital management towards empowering leadership, to prevent increased emotional exhaustion.

REGISTRATION NUMBER

This study is registered on ClinicalTrials.gov on 4 July 2019 (NCT04010773).

Childhood inhibition predicts adolescent social anxiety: Findings from a longitudinal twin study

An enduring issue in the study of mental health is identifying developmental processes that explain how childhood characteristics progress to maladaptive forms. We examine the role that behavioral inhibition (BI) has on social anxiety (SA) during adolescence in 868 families of twins assessed at ages 8, 13, and 15 years. Multimodal assessments of BI and SA were completed at each phase, with additional measures (e.g., parenting stress) for parents and twins. Analyses were conducted in several steps: first, we used a cross-lagged panel model to demonstrate bidirectional paths between BI and SA; second a biometric Cholesky decomposition showed that both genetic and environmental influences on childhood BI also affect adolescent SA; next, multilevel phenotypic models tested moderation effects between BI and SA. We tested seven potential moderators of the BI to SA prediction in individual models and included only those that emerged as significant in a final conditional model examining predictors of SA. Though several main effects emerged as significant, only parenting stress had a significant interaction with BI to predict SA, highlighting the importance of environmental moderators in models examining temperamental effects on later psychological symptoms. This comprehensive assessment continues to build the prototype for such developmental psychopathology models.

Dimensionality and reliability of the Depression Anxiety Stress Scales 21 among adolescents in North Macedonia

This study examined the structural validity and reliability of the DASS-21 in a large sample (N = 4,202) of secondary school students from North Macedonia (M_age = 16.43 ± 1.04, 65% girls). Based on theoretical and empirical considerations, five structural models were compared using confirmatory factor analysis. The original three-factor model provided good fit to the data; however, high interfactor correlations indicated that the depression, anxiety, and stress factors were indistinguishable. The bifactor solution yielded superior fit relative to other tested models. Factor loading patterns revealed a strong general factor and some specificity of the depression and anxiety factors, whereas the stress items were primarily markers of general distress. Model-based reliability and ancillary bifactor indices revealed that the DASS-21 is essentially unidimensional. Thus, only the total score could be used as a reliable measure of general emotional distress, while subscale scores should be avoided. Overall, the findings provide further support for the cross-cultural validity of the DASS-21 and confirm that it is suitable for use among older adolescents in North Macedonia.

Can short PROMs support valid factor-based sub-scores? Example of COMQ-12 in chronic otitis media

Purpose

Interpretable factor solutions for questionnaire instruments are typically taken as justification for use of factor-based sub-scores. They can indeed articulate content and construct validities of a total and components but do not guarantee criterion validity for clinical application. Our previous documentation of basic psychometric characteristics for a 12-item patient-reported outcome measure in adult chronic otitis media (COMQ-12) justified next appraising criterion validity of sub-scores.

Methods

On 246 cases at 1^st clinic visit, we compared various classes of factor solution, concentrating on the best-fitting 3-factor ones as widely supported. Clinical data offered two independent measures as external criteria: binaural hearing (audiometric thresholds measured via audiometry) for evaluating ‘Hearing’ sub-score, and oto-microscopic findings for the ‘Ear discharge symptoms’ sub-score. As criterion for the total, and for semi-generic ‘Activities/healthcare’ sub-score, the generic Short Form-36 item set offered a widely used multi-item criterion measure.

Results

Factor model fit and parsimony again favoured a 3-factor solution for COMQ-12; however insufficient item support and the dominant 1^st principal component of variation made sub-scoring problematic. The best solution was bi-factor, from which only the weighted total score met the declared convergent validity standard of r = 0.50. Two of the more specific sub-scores (‘Ear discharge symptoms’ and ‘Hearing’) correlated poorly with clinical findings and weighted binaural hearing thresholds.

Conclusion

The COMQ-12 total is acceptably content-valid for general clinical purposes, but the small item set, reflecting excessive pressure for brevity in clinical application, does not well support three criterion-valid factor-based scores. This distinction should be made explicit, and profile sub-scoring discouraged until good convergent and furthermore divergent criterion validities are shown.

A bifactor model of personality organization in adolescence: the validity of a brief screening measure assessing severity and core domains of functioning

BACKGROUND

Both the latest edition of the DSM-5 as well as the new ICD-11 have established a new focus in the diagnosis of personality disorders: the assessment of personality functioning. This recent shift in focus converges with long-standing psychodynamic conceptualizations of personality pathology, particularly Kernberg's object relations model. Although a significant amount of research supports these models in adults, much less is known about the validity of these frameworks in youth. Considering the paucity of brief measures of personality functioning in adolescents, the current study aimed to develop and investigate the validity of the Inventory of Personality Organization for Adolescents-Short Form, a theoretically-informed measure assessing severity and core domains of functioning in adolescents.

METHODS

A total sample of N = 525 adolescents aged 13 to 19 years were recruited through a community University-Health Psychology Clinic as current patients (n = 94) or who responded to an online research call (n = 431).

RESULTS

Results indicate that a bifactor model provided the best fit to the data and consisted of a general factor reflecting core self-other functioning and three specific factors, representing additional dimensions of personality organization.

CONCLUSIONS

A brief 15-item version of the IPO-A was successfully derived for time-efficient screening of personality pathology in youth. Similarities with the ICD-11 framework are discussed.

Can Faking Be Measured With Dedicated Validity Scales? Within-Subject Trifactor Mixture Modeling Applied to BIDR Responses

A sample of 516 participants responded to the Balanced Inventory of Desirable Responding (BIDR) under answer honest and instructed faking conditions in a within-subjects design. We analyze these data with a novel application of trifactor modeling that models the two substantive factors measured by the BIDR-self-deceptive enhancement (SDE) and impression management (IM), condition-related common factors, and item-specific factors. The model permits examination of invariance and change within subjects across conditions. Participants were able to significantly increase their SDE and IM in the instructed faking condition relative to the honest response condition. Mixture modeling confirmed the existence of a theoretical two-class solution comprised of approximately two thirds of "compliers" and one third of "noncompliers." Factor scores had good determinacy and correlations with observed scores were near unity for continuous scoring, supporting observed score interpretations of BIDR scales in high-stakes settings. Correlations were somewhat lower for the dichotomous scoring protocol. Overall, results show that the BIDR scales function similarly as measures of socially desirable functioning in low- and high-stakes conditions. We discuss conditions under which we expect these results will and will not generalize to other validity scales.

Predicting depression outcomes throughout inpatient treatment using the general and specific personality disorder factors

BACKGROUND

Clinical intuition suggests that personality disorders hinder the treatment of depression, but research findings are mixed. One reason for this might be the way in which current assessment measures conflate general aspects of personality disorders, such as overall severity, with specific aspects, such as stylistic tendencies. The goal of this study was to clarify the unique contributions of the general and specific aspects of personality disorders to depression outcomes.

METHODS

Patients admitted to the Menninger Clinic, Houston, between 2012 and 2015 (N = 2352) were followed over a 6-8-week course of multimodal inpatient treatment. Personality disorder symptoms were assessed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition Axis II Personality Screening Questionnaire at admission, and depression severity was assessed using the Patient Health Questionnaire-9 every fortnight. General and specific personality disorder factors estimated with a confirmatory bifactor model were used to predict latent growth curves of depression scores in a structural equation model.

RESULTS

The general factor predicted higher initial depression scores but not different rates of change. By contrast, the specific borderline factor predicted slower rates of decline in depression scores, while the specific antisocial factor predicted a U shaped pattern of change.

CONCLUSIONS

Personality disorder symptoms are best represented by a general factor that reflects overall personality disorder severity, and specific factors that reflect unique personality styles. The general factor predicts overall depression severity while specific factors predict poorer prognosis which may be masked in prior studies that do not separate the two.

Wanting, Liking, and Missing Out: Exploring the Role of Reward Functioning in the Overlap Between PTSD and Depression

ABSTRACT

Diminished reward functioning (anhedonia) is an aspect of multiple psychiatric diagnoses and is a critical component of depression, yet it has rarely been examined in the context of posttraumatic stress disorder (PTSD). Deficits in reward function may be a transdiagnostic factor contributing to the high rate of comorbidity between PTSD and depression. The present study examined the commonality and distinction between PTSD and depression and their relationship to reward functioning using a bifactor model in a sample of 106 trauma-exposed undergraduates. Results indicated a strong commonality factor between PTSD and depression. Of three indices of reward functioning (i.e., hedonic pleasure, reward motivation, and environmental reward availability), environmental reward availability alone was related to unique latent factors for PTSD and depression, and their commonality. Findings suggest that environmental context may be the key to understanding the role of reward in PTSD, depression, and psychopathology broadly.

Feasibility of generic, short, and easy-to-use assessment of psychological distress during psychotherapy: Longitudinal measurement invariance of CORE-10 and -OM

Objective: While the CORE-10 inventory for Clinical Outcome Routine Evaluation has shown good psychometric properties in cross-sectional assessment, the feasibility of generic, short, and easy-to-use longitudinal assessment of a broadband construct such as the targeted "general psychological distress" remains to be psychometrically demonstrated. Therefore, we investigated longitudinal measurement invariance (LMI) of CORE-10. For comprehensiveness, we also analyzed its parent inventory, CORE-OM.

Method: We investigated the LMI of pre- and post-therapy CORE-10 and -OM assessments in a naturalistic treatment register of 1715 patients' short psychotherapies, testing whether the construct of "psychological distress" remained the same across the treatments.

Results: We observed good psychometric properties and no violations of LMI for CORE-10 in chi-squared equivalence tests, nor in effect-size-based evaluations. Only the highly sensitive chi-squared difference tests detected LMI violations but these had little practical influence. The CORE-OM data did not fit well with factorial models but this was cross-sectional rather than a genuinely longitudinal (LMI-related) issue.

Conclusions: CORE-10 appeared a structurally valid measure of general psychological distress and suitable for longitudinal assessment, whereas the CORE-OM had a less clear factorial structure. Regarding psychometrics, these findings support the use of CORE-10 in longitudinal assessment during psychotherapy and do not support CORE-OM.

Factor Structure of the KABC-II at Ages 5 and 6: Is It Valid in a Clinical Sample?

The factor structure of the German edition of the KABC-II for ages 5 and 6 was examined in a clinical sample. Participants were 450 children ages 5 and 6 who had been assessed due to various behavioral, emotional, or developmental disorders in five Centers for Social Pediatrics (SPCs). Confirmatory factor analyses of the standard test structure including core subtests of the Cattell-Horn-Carroll model and of the Luria model were conducted using maximum likelihood estimation. Several modified structures derived from CHC ability classifications were evaluated. Second-order factor structures corresponding to the standard test structure of the KABC-II demonstrated an adequate global fit for both theoretical models and were superior to unidimensional models. The fit of bifactor models was comparable to second-order models. In all subtests, the general factor accounted for more variance than group factors (broad abilities). However, in more than half of the subtests, unique variance explained the largest portion of the variance. The scale Learning/Glr showed a lack of convergent validity. At age 6, a model omitting subtest Rover significantly improved the fit. In the combined sample of 5- and 6-year-old children, both second-order and bifactor models with nine subtests demonstrated excellent fit.

Chinese translation of the Clinical Impairment Assessment (CIA 3.0): Psychometric properties and measurement invariance across sex and age in adolescents, young adults, and adult men

The Clinical Impairment Assessment (CIA) is the most widely used instrument for assessing psychosocial impairment related to eating disorders (EDs). The CIA was translated into Chinese based on standard procedures. The psychometric properties of the Chinese CIA (C-CIA) were assessed among four adolescent and adult samples [i.e., 792 junior high school students (47.0% boys; M_age = 13.09 years), 1324 senior high school students (44.2% boys; M_age = 16.06 years), 812 undergraduate students (36.3% boys; M_age = 18.88 years), and 406 male adults from a general population (M_age = 28.53 years)]. The three-factor structure of the CIA was replicated. Excellent internal consistencies of the C-CIA were revealed, α = 0.93-0.98. The C-CIA showed moderate and good test-retest reliability in a six-month interval for junior high school students (ICC = 0.69) and senior high school students (ICC = 0.76), respectively. The C-CIA had good test-retest reliability in a two-week interval for undergraduate students (ICC = 0.78) and general adult men (ICC = 0.81). Our results supported good construct validity, known-group validity of the C-CIA, and measurement invariance across sex and age. These findings suggest that the C-CIA can be a useful tool assessing psychosocial impairment related to EDs for Chinese adolescents, young adults, and adult men.

Validity of the Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS) in Patients With Dizziness

HYPOTHESIS

The Patient Health Questionnaire Anxiety and Depression Scale (PHQ-ADS) will be a valid and reliable combined measure of depression and anxiety in people with vertigo and dizziness.

BACKGROUND

Co-occurrence of depressive, anxiety, and somatic symptoms are common. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder Scale-7 (GAD-7) measure symptoms of depression and anxiety respectively, although measuring them separately may be suboptimal in people who have illness-related distress. There is some evidence that these scales can be combined in long-term conditions resulting in the PHQ-ADS, but validity is yet to be determined in people with vertigo and dizziness.

METHODS

Two separate datasets from a tertiary vestibular clinic were analyzed where the PHQ-ADS was completed at initial clinical assessment (n = 624) and while on a waiting list (n = 185). A cross-sectional design was used to examine the factor structure (confirmatory factor analysis), internal consistency (omega index), and construct validity (Pearson correlation coefficient) of the PHQ-ADS. Construct validity was determined against the dizziness handicap inventory (DHI).

RESULTS

A bi-factor PHQ-ADS model had good fit to the data (χ2 = 397.163, 249.763; comparative fit index [CFI] = 0.954, 0.919; Tucker-Lewis index [TLI] = 0.938, 0.892; root mean squared error of approximation [RMSEA] = 0.076, 0.098). The general distress factor explained 81 to 85% of the common variance between items. There were moderate to large significant positive correlations between the PHQ-ADS and DHI.

CONCLUSION

The PHQ-ADS appears to have good structural validity in patients with vertigo and dizziness. Clinicians and researchers can use this scale where a composite psychological measure is desired.

Psychometric Properties of a Cultural Adapted Version of the Assessment of Identity Development in Adolescence in Panama

The Assessment of Identity Development in Adolescence (AIDA) is a self-report instrument to detect pathological development of Identity. In Panamá, psychometric instruments for assessment of psychopathology in adolescence are lacking. Our aim was to develop a valid and reliable version of the AIDA Inventory for Panamanian Population. AIDA was adapted to Spanish considering cultural aspects of Panamanian population. Two pilot tests were performed prior to main test to assess item-total correlation at subscale, primary scale and total scale levels and internal consistency at subscale level. A mixed sample of students and PD patients (N = 315) completed the AIDA inventory, the "Strength and Difficulties Questionnaire" and "Defense Style Questionnaire-40." AIDA was retested in a sub sample from school population (n = 98). The Structured Clinical Interview for Axis II Disorders was used for diagnosis of personality disorders in the patient sample (n = 25). Psychometric properties were tested to assess internal consistency, reliability, factorial validity, convergent validity, and criterion validity. AIDA Panama showed excellent internal consistency for the total scale Identity Diffusion with Cronbach's α:0.94 and a retest reliability of 0.84. A Bifactorial CFA was modeled to assess the dimensionality of the inventory. The proportion between OmegaH and Omega at total scales 96% of the variance is explained by a general factor. Furthermore, the Explained Common Variance for the General Factor is 73% supporting unidimensionality. In line with theory, AIDA total scale showed a high positive correlation (r = 0.67) with Total Difficulties scale and high positive correlation (r = 0.71) with Immature Defense scale. The AIDA total score differed highly significant (p = 0.000) between the patient sample and the students with a large effect size (d = 1.02).

CONCLUSION

The adaptation and validation of AIDA for Panamanian adolescent population was successful with good psychometric properties and significant correlations with related psychopathological constructs. AIDA showed high clinical validity by providing a valid discrimination between the school sample and a diagnosed PD sample, in line with the assumption that impaired identity functioning is at the core of personality disorders, especially in adolescence.

The structure of dimensions of psychopathology in normative and clinical samples: Applying causal discovery to MMPI-2-RF scales to investigate clustering of psychopathology spectra and p-factors

We applied a Bayesian Constraint-based Causal Discovery method (BCCD) to examine the hierarchical structure of the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) Restructured Clinical (RC) scales. Two different general psychopathology super spectra (p-factor) scales were extracted from (1) all RC scales and (2) all RC scales except the RCd (Demoralization) scale. These p-factor scales were included in separate models to investigate the structure of dimensions of psychopathology in a normative (n = 3,242) and clinical (n = 2,466) sample, as well as the combined normative/clinical sample (N = 5,708), by applying the BCCD algorithm to obtain a data-driven reconstruction of the internal hierarchical structure of the MMPI-2-RF. Research on the underlying structure of the MMPI-2-RF has clinical relevance as well as conceptual relevance in the context of the HiTOP model. Results demonstrated that the syndromes measured with the RC-scales-in presence of a p-factor-cluster into six spectra: internalizing, disinhibited-externalizing, antagonistic-externalizing, thought disorder, detachment, and somatoform. These results may support a super spectrum construct, as it was necessary for obtaining a bottom-up reconstruction of this six-spectrum structure. We found support for superiority of a broad super spectrum with additional variance over and above demoralization, as it resulted in the clearest structure (i.e., clustering of the RC scales). Furthermore, our results indicate independent support for the bifactor structure model of psychopathology.

Validity and normative data of the Chinese Prospective and Retrospective Memory Questionnaire (PRMQ) across adolescence, adults and elderly people

The Prospective and Retrospective Memory Questionnaire (PRMQ) is a widely-used questionnaire for evaluating individuals' memory failures in everyday life. However, whether the scale is valid for different age groups and gender, and how memory complaints change with age and gender remains less clear. This study aimed to validate the self-report PRMQ in a large Chinese sample across adolescence and adulthood and investigate age-related changes and gender differences in self-report prospective memory (PM) and retrospective memory (RM). A total of 2528 healthy individuals aged from 13 to 96 completed the Chinese version of the PRMQ. Results revealed that the PM-RM correlated factor model was the best fit model with satisfactory reliability and had measurement invariance across gender and adjacent age groups. Adolescents and adults reported similar memory complaints, while older people stated more memory difficulties. Female participants reported more PM errors than male participants, but this gender difference only showed in adolescents and adults. Taken together, these findings not only support the Chinese version of the PRMQ as a valid tool for evaluating prospective and retrospective memory difficulties across gender and adjacent age groups, but also reveal age-related changes and gender difference on self-report memory.

From alcohol to aggression: Examining the structure and nomological network of dysregulated behaviors in a trauma-exposed community sample

OBJECTIVE

A large body of research has shown that alcohol use, drug use, aggression, and self-harm often co-occur within the same individuals, suggesting the possibility of shared etiologies. Research has yet to determine the factor structure of these dysregulated behaviors.

METHODS

Participants (M_age  = 40.33; 74% women) completed self-report and interview-based measures of dysregulated behaviors (alcohol use, drug use, aggression, and self-harm), emotion dysregulation, maladaptive personality traits, and symptoms of DSM disorders (e.g., borderline personality disorder [BPD], depression).

RESULTS

Results showed support for a bifactor model (i.e., all indicators load on a common dysregulated behavior factor and on unique alcohol, drug, aggression, and self-harm factors), which provided a better fit to the data than other models. In line with our hypotheses, the general dysregulated behavior factor was positively associated with emotion regulation difficulties, negative affect, and BPD symptoms.

CONCLUSIONS

These results have implications for several areas of psychopathology and intervention research.