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

Competing Models of the Structure of Subjective Well-Being: Have All Won and Must All Have Prizes?

OBJECTIVE

The tripartite model of subjective well-being (SWB) posits three components: positive affect, negative affect, and life satisfaction. The fundamental issue regarding the structure of SWB and the meaning of the general SWB factor remains unresolved.

METHODS

Across three studies and six samples (total N = 9304), we evaluated competing models of SWB and tested the criterion-related validity of SWB components operationalized within different models. In addition to a standard confirmatory factor analysis (CFA) and bifactor-CFA, we used exploratory structural equation modeling (ESEM) and bifactor-ESEM approaches. Latent factor models were applied to examine the nomological network of SWB in relation to several external criteria (e.g., positive expectations, depression, and anxiety).

RESULTS

We found evidence supporting the three-factor and bifactor-ESEM models of SWB. The meaning and interpretability of the general and specific factors of SWB were found to depend on the indicators used to assess affective well-being. Several issues concerning the bifactor-CFA model were identified. Both the general and specific factors of SWB exhibited meaningful and interpretable nomological networks.

CONCLUSIONS

The structure of SWB, the value of incorporating a general factor, and the nature of general and specific SWB factors depend on the instruments used to measure SWB.

What Emotion Regulation Strategies are Associated with a General Psychopathology Factor (p) in Adolescence? Identifying Possible Transdiagnostic Targets for Intervention

Mental health problems in adolescence are increasing and there is an urgent call for transdiagnostic interventions, as most adolescents experience problems across multiple domains. Research has identified a general psychopathology factor (p) capturing the shared variance across mental health problems. In parallel, there is empirical support for the transdiagnostic nature of emotion regulation. In the current study, we explore the associations between p and emotion regulation strategies to identify which strategies may be promising targets for intervention. Data from the population-based Youth and Mental Health Study (YAMHS) (N = 2,464, mean age 13.7 years, SD 0.6) was used. The fit of different structural models of emotion regulation and psychopathology were compared, and latent factors from the final models were included in multiple regression analyses to explore the associations between p and emotion regulation strategies. A bifactor exploratory structural equation model (B-ESEM) showed best fit for modelling p. For emotion regulation strategies, an ESEM model showed best fit, including Rumination, Reactive Impulsivity, Distraction, Non-Acceptance, Problem Solving, Social Support, and Proactive Behavior. Results showed that a higher score on p was predicted by higher scores on the emotion regulation strategies Rumination (β = .38, p < .001) and Reactive Impulsivity (β = .35, p < .001), and lower scores on Problem Solving (β = -.15, p < .001). The results indicate that Rumination and Reactive Impulsivity have the strongest associations with p and may be promising targets for mental health interventions for adolescents.

Examining the role of personality functioning in a hierarchical taxonomy of psychopathology using two years of ambulatory assessed data

The Hierarchical Taxonomy of Psychopathology (HiTOP) arranges phenotypes of mental disorders based on empirical covariation, ranging from narrowly defined symptoms to higher-order spectra of psychopathology. Since the introduction of personality functioning (PF) in DSM-5 and ICD-11, several studies have identified PF as a predictor of transdiagnostic aspects of psychopathology. However, the role of PF in the HiTOP classification system has not been systematically examined. This study investigates how PF can be integrated into HiTOP, whether PF accounts for transdiagnostic variance captured in higher-order spectra, and how its predictive value for future affective well-being (AWB) and psychosocial impairment (PSI) compares to the predictive value of specific psychopathology beyond PF. To this end, we examined two years of ambulatory assessed data on psychopathology, PF, PSI, and AWB of N = 27,173 users of a mental health app. Results of bass-ackwards analyses largely aligned with the current HiTOP working model. Using bifactor modeling, aspects of PF were identified to capture most of the internalizing, thought disorder, and externalizing higher-order factor variance. In longitudinal prediction analyses employing bifactor-(S-1) modeling, PF explained 58.6% and 30.6% of variance in PSI and AWB when assessed across one year, respectively, and 33.1% and 23.2% of variance when assessed across two years. Results indicate that personality functioning may largely account for transdiagnostic variance captured in the higher-order components in HiTOP as well as longitudinal outcomes of PSI and AWB. Clinicians and their patients may benefit from assessing PF aspects such as identity problems or internal relationship models in a broad range of mental disorders. Further, incorporating measures of PF may advance research in biological psychiatry by providing empirically sound phenotypes.

The General Psychopathology 'p' Factor in Adolescence: Multi-Informant Assessment and Computerized Adaptive Testing

Accumulating evidence supports the presence of a general psychopathology dimension, the p factor ('p'). Despite growing interest in the p factor, questions remain about how p is assessed. Although multi-informant assessment of psychopathology is commonplace in clinical research and practice with children and adolescents, almost no research has taken a multi-informant approach to studying youth p or has examined the degree of concordance between parent and youth reports. Further, estimating p requires assessment of a large number of symptoms, resulting in high reporter burden that may not be feasible in many clinical and research settings. In the present study, we used bifactor multidimensional item response theory models to estimate parent- and adolescent-reported p in a large community sample of youth (11-17 years) and parents (N = 5,060 dyads). We examined agreement between parent and youth p scores and associations with assessor-rated youth global functioning. We also applied computerized adaptive testing (CAT) simulations to parent and youth reports to determine whether adaptive testing substantially alters agreement on p or associations with youth global functioning. Parent-youth agreement on p was moderate (r =.44) and both reports were negatively associated with youth global functioning. Notably, 7 out of 10 of the highest loading items were common across reporters. CAT reduced the average number of items administered by 57%. Agreement between CAT-derived p scores was similar to the full form (r =.40) and CAT scores were negatively correlated with youth functioning. These novel results highlight the promise and potential clinical utility of a multi-informant p factor approach.

Domain-Specific Greed

Greed, the insatiable and excessive desire and striving for more even at the expense of others, may be directed toward various goods. In this article, we propose that greed may be conceptualized as a domain-specific construct. Based on a literature review and an expert survey, we identified 10 domains of greed which we operationalized with the DOmain-SPEcific Greed (DOSPEG) questionnaire. In Study 1 (N = 725), we found support for the proposed structure and convergent validity with related constructs. Bifactor-(S-1) models revealed that generic greed is differentially related to the greed domains, indicating that generic greed primarily captures a striving for money and material things. In the second study (N = 591), we found that greed domains had incremental validity beyond generic greed with regard to corresponding criteria assessed via self- and other-reports. We conclude that greed can be conceptualized as a domain-specific construct and propose an onion model reflecting this structure.

The general factor of psychopathology (p): Choosing among competing models and interpreting p

Over the past 10 years, the general factor of psychopathology, p, has attracted interest and scrutiny. We review the history of the idea that all mental disorders share something in common, p; how we arrived at this idea; and how it became conflated with a statistical representation, the Bi-Factor Model. We then leverage the Environmental Risk (E-Risk) longitudinal twin study to examine the properties and nomological network of different statistical representations of p. We find that p performed similarly regardless of how it was modelled, suggesting that if the sample and content are the same the resulting p factor will be similar. We suggest that the meaning of p is not to be found by dueling over statistical models but by conducting well-specified criterion-validation studies and developing new measurement approaches. We outline new directions to refresh research efforts to uncover what all mental disorders have in common.

Differentiation of Self and Interpersonal Functioning with the Level of Personality Functioning Scale - Brief Form 2.0

Research on Criterion A of the alternative model for personality disorders is recently expanding and provides mixed results concerning the unidimensional operational definition of severity by the model, characterized by impaired self (identity and self-direction) and interpersonal (empathy and intimacy) functioning. Studies resulted in one, as well as two or more factor structures. The present study demonstrated the importance of the structural and relational differentiation of self and interpersonal dimensions of personality functioning. One thousand seventy-four participants (community and clinical mixed sample) completed the Level of Personality Functioning Scale - Brief Form 2.0 (LPFS-BF 2.0), the Personality Inventory for DSM-5 Short Form and the Questionnaire for the World Health Organization Disability Assessment. An LPFS-BF 2.0 two-factor structure with self and interpersonal functioning factors was corroborated by confirmatory factor analyses and bifactor modeling. Joint Exploratory Factor Analysis of the LPFS-BF 2.0 domains with maladaptive personality domains clearly differentiated the personality functioning factors. While the self-functioning factor was more closely linked to negative affect (and to disinhibition and psychoticism), the interpersonal functioning factor connected to detachment. Self-functioning predicted functional impairment along and beyond personality domains. The LPFS-BF 2.0 appears a useful tool for clinical routine monitoring of both self and interpersonal functioning.

Does preschool executive control mediate the impact of early environmental unpredictability and deprivation on the general factor of psychopathology a decade later?

BACKGROUND

Although deprivation has been consistently shown to increase risk for psychopathology through impaired executive control, the unique effects of other dimensions of early adversity, such as unpredictability, on executive control development are poorly understood. The current study evaluated whether deprivation and/or unpredictability early in life have unique effects on the general factor of psychopathology through impaired preschool executive control.

METHODS

Participants included 312 children (51% female) oversampled for greater sociodemographic risk. Preschool executive control was measured using a battery of nine developmentally appropriate executive control tasks. Dimensions of adversity were measured with observational and caregiver assessments, and psychopathology was measured with caregiver and child reports.

RESULTS

In separate models, both deprivation and unpredictability had significant indirect effects on the adolescent general factor of psychopathology through impaired preschool executive control. However, when both dimensions of adversity were included simultaneously, early life deprivation, but not unpredictability, was uniquely associated with the general factor of psychopathology in adolescence through impaired preschool executive control.

CONCLUSIONS

Preschool executive control appears to be a transdiagnostic mechanism through which deprivation, but not unpredictability, increases risk for the general factor of psychopathology in adolescence. Results elucidate potential transdiagnostic targets for intervention efforts aimed at reducing the development and maintenance of psychopathology across the life span.

Alexithymia and Impulsivity in Combat Sports - A Tale of Three Measures

The purpose of this study was to compare the psychometric properties of two measures of alexithymia - the Toronto Alexithymia Scale (TAS-20) and the Perth Alexithymia Questionnaire (PAQ) - as well as the Barratt Impulsiveness Scale 11 measure of behavioural impulsivity because the psychometric properties of these scales have not been established in athletes. As part of a larger study, 298 participants completed an online survey that included the TAS-20, PAQ, and BIS 11, as well personal- (age and gender) and sport-specific (primary combat sport and level of competition) demographic measures. A unidimensional model was retained for the TAS-20. A unidimensional model with the possibility of multidimensional measure was retained for the PAQ, with the viability of a subscale for Generalised Externally Orientated Thinking supported. The only versions of the BIS that were retainable were unidimensional models for the BIS-15 (a 15-item version of the BIS 11) and the BIS-Brief (an 8-item version of the BIS 11). As expected, the measures of alexithymia were highly correlated. The associations between impulsivity and alexithymia as well as age and alexithymia were small in nature, with none these associations moderated by level of gender, level of competition, or primary sport for the participants. No differences in alexithymia or impulsivity according to gender, level of competition, or primary sport were noted for the participants. Implications of these findings for the measures of alexithymia - the TAS-20 and PAQ - and impulsivity - the BIS-15 and BIS-Brief - examined in the present study with athletes (as well as with other populations) are discussed.

Mapping established psychopathology scales onto the Hierarchical Taxonomy of Psychopathology (HiTOP)

The Hierarchical Taxonomy of Psychopathology (HiTOP) organizes phenotypes of mental disorder based on empirical covariation, offering a comprehensive organizational framework from narrow symptoms to broader patterns of psychopathology. We argue that established self-report measures of psychopathology from the pre-HiTOP era should be systematically integrated into HiTOP to foster cumulative research and further the understanding of psychopathology structure. Hence, in this study, we mapped 92 established psychopathology (sub)scales onto the current HiTOP working model using data from an extensive battery of self-report assessments that was completed by community participants and outpatients (N = 909). Content validity ratings of the item pool were used to select indicators for a bifactor-(S-1) model of the p factor and five HiTOP spectra (i.e., internalizing, thought disorder, detachment, disinhibited externalizing, and antagonistic externalizing). The content-based HiTOP scales were validated against personality disorder diagnoses as assessed by standardized interviews. We then located established scales within the taxonomy by estimating the extent to which scales reflected higher-level HiTOP dimensions. The analyses shed light on the location of established psychopathology scales in HiTOP, identifying pure markers and blends of HiTOP spectra, as well as pure markers of the p factor (i.e., scales assessing mentalizing impairment and suspiciousness/epistemic mistrust).

Empirically based dimensions of externalizing symptoms in children and adolescents: a multitrait-multisource approach

The present study sought to refine knowledge about the structure underlying externalizing dimensions. From a “top-down” ICD/DSM-based perspective, externalizing symptoms can be categorized into attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD). From a “bottom-up” developmental theory-based perspective, disruptive behaviors can be meaningfully described as aggressive (AGG) and rule-breaking (RB) behaviors. We analyzed five large data sets comprising externalizing symptom ratings obtained with a screening instrument using different sources (parents, teachers, self-ratings) from different samples. Using confirmatory factor analyses, we evaluated several factor models (unidimensional; correlated factors; bifactor (S-1) models) derived from an ICD/DSM- and theory-based perspective. Our optimally fitting models were assessed for measurement invariance across all sources, sample settings, and sex. Following several model-based criteria (model fit indices; factor loadings; omega statistics; model parsimony), we discarded our models stepwise and concluded that both the ICD/DSM-based model with three correlated factors (ADHD, ODD, CD) and the developmental theory-based model with three correlated factors (ADHD, AGG, RB) displayed a statistically sound factor structure and allowed for straightforward interpretability. Furthermore, these two models demonstrated metric invariance across all five samples and across sample settings (community, clinical), as well as scalar invariance across sources and sex. While the dimensions AGG and RB may depict a more empirically coherent view than the categorical perspective of ODD and CD, at this point we cannot clearly determine whether one perspective really outperforms the other. Implications for model selection according to our model-based criteria and clinical research are discussed.

Factor Structure and Measurement Invariance of the Brief Symptom Inventory-18 Among Chinese Adults

This study aimed to investigate the factor structure and measurement invariance of the Brief Symptom Inventory-18 (BSI-18) among Chinese adults. A sample comprising 1,839 adults from four cities in Shaanxi province completed the BSI-18 and background information. The best-fitting factor structure model of the BSI-18 was verified by confirmatory factor analyses, and multigroup confirmatory factor analyses were performed to test the measurement invariance. The results indicated that the three-factor bi-factor model fitted the current data best (χ² = 468.861, df = 117, CFI = 0.939, TLI = 0.920, RMSEA = 0.040, BIC = 47044.977). The configural, metric, scalar, and strict invariance models all had acceptable model fit indexes across genders, and the configural, metric, scalar invariance models with different living areas and educational levels were all acceptable. Overall, the three-factor bi-factor model of the BSI-18 shows a good fit for use with Chinese adults, making it a viable tool for effectively measuring the mental health of Chinese adults.