The General Factor of Personality: A General Critique

Personality Functioning, Problems in Living, and Personality Traits

The publication of the Alternative Model of Personality Disorder (AMPD) was a signpost achievement in the personality assessment. However, research on the AMPD has generally not led to either a deeper understanding of personality disorder or personality assessment or new ideas about how to provide better care for people with personality disorder diagnoses. A significant portion of research has focused on narrow issues and appears to be driven in part by ideological differences between scholars who prefer Criterion A (personality functioning) or Criterion B (maladaptive traits). I trace these issues to ambiguity about the concept of personality functioning as defined in the AMPD and its conceptual distinction from personality traits and problems in living. In this paper, I reground these concepts in coherent and distinct definitions, elaborate upon the implications of their differences, and show how these differences can help clarify and reorient AMPD research to focus on generating clinically useful models for personality pathology and personality assessment.

The General Factor of Environmental Sensitivity: Relationships with the General Factor of Personality

Environmental sensitivity is a meta-concept that describes individual differences in susceptibility to both positive and negative environmental influences and has been repeatedly reported to correlate with other established personality traits, including the Big Five. The purpose of this study was to examine the correlation between the general factor of environmental sensitivity (GFS) and the general factor of personality (GFP). A total of 1,046 adult participants (52% female; Mage = 45.15, SDage = 12.70) completed a self-report psychological questionnaire on an online form. Confirmatory factor analysis indicated that GFS had a strong negative correlation with GFP (r = -.41, 95% CI [-.52, -.30], p < .001). Focusing on the relationship with the Big Five, individuals with higher environmental sensitivity were emotionally unstable and introverted. The trait of environmental sensitivity may be described not only in relation to the Big Five but also in relation to GFP, which is assumed to be an indicator of social effectiveness.

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.

Meta-analytic relations between personality and cognitive ability

Cognitive ability and personality are fundamental domains of human psychology. Despite a century of vast research, most ability-personality relations remain unestablished. Using contemporary hierarchical personality and cognitive abilities frameworks, we meta-analyze unexamined links between personality traits and cognitive abilities and offer large-scale evidence of their relations. This research quantitatively summarizes 60,690 relations between 79 personality and 97 cognitive ability constructs in 3,543 meta-analyses based on data from millions of individuals. Sets of novel relations are illuminated by distinguishing hierarchical personality and ability constructs (e.g., factors, aspects, facets). The links between personality traits and cognitive abilities are not limited to openness and its components. Some aspects and facets of neuroticism, extraversion, and conscientiousness are also considerably related to primary as well as specific abilities. Overall, the results provide an encyclopedic quantification of what is currently known about personality-ability relations, identify previously unrecognized trait pairings, and reveal knowledge gaps. The meta-analytic findings are visualized in an interactive webtool. The database of coded studies and relations is offered to the scientific community to further advance research, understanding, and applications.

The General Factor of Personality (GFP) is associated with higher salary, having a leadership position, and working in a social job

Previous studies have suggested that a general factor exists at the top of the hierarchal structure of personality. One interpretation of this General Factor of Personality (GFP) is that it reflects social effectiveness. Accordingly, in a large employee sample (N = 1267), we tested whether the GFP relates to several outcomes assumed to be linked with social effectiveness. Specifically, we examine whether the GFP is positively related to salary and to obtaining a leadership position. Additionally, we test whether high-GFP employees more often work in social occupations. Controlling for demographics and background variables, it was found that the GFP is indeed positively related to monthly (gross) salary. Moreover, employees occupying leadership positions in organizations scored higher on the GFP. GFP scores of employees in more social occupations (e.g., education, health care) were higher than of employees in other types of jobs (e.g., construction). GFP scores were also positively associated with the extent to which one has to relate to others in the job. Overall, the pattern of findings is in line with the notion of the GFP as relating to social effectiveness or adaptiveness, which are assumed to play a significant role in occupational outcomes.

Thinking thrice about sum scores, and then some more about measurement and analysis

Measurement is fundamental to all research in psychology and should be accorded greater scrutiny than typically occurs. Among other claims, McNeish and Wolf (Thinking twice about sum scores. Behavior Research Methods, 52, 2287-2305) argued that use of sum scores (a) implies that a highly constrained latent variable model underlies items comprising a scale, and (b) may misrepresent or bias relations with other criteria. The central claim by McNeish and Wolf that use of sum scores requires the assumption that a parallel test model underlies item responses is incorrect and without psychometric merit. Instead, if a set of items is unidimensional, estimators of reliability are available even if the factor model underlying the set of items does not have a highly constrained form. Thus, dimensionality of a set of items is the key issue, and whether strict constraints on parameter estimates do or do not hold dictate the appropriate way to estimate reliability. McNeish and Wolf also claimed that more precise forms of scoring, such as estimating factor scores, would be preferable to sum scores. We provide analytic bases for reliability estimation and then provide several demonstrations of reliability estimation and the relative advantages of sum scores and factor scores. We contend that several claims by McNeish and Wolf are questionable and that, as a result, multiple recommendations they made and conclusions they drew are incorrect. The upshot is that, once the dimensional structure of a set of items is verified, sum scores often have a solid psychometric basis and therefore are frequently quite adequate for psychological research.

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.

Small but Nontrivial: A Comparison of Six Strategies to Handle Cross-Loadings in Bifactor Predictive Models

The bifactor model is a promising alternative to traditional modeling techniques for studying the predictive validity of hierarchical constructs. However, no study to date has systematically examined the influence of cross-loadings on the estimation of regression coefficients in bifactor predictive models. Therefore, we present a systematic examination of the statistical performance of six modeling strategies to handle cross-loadings in bifactor predictive models: structural equation modeling (SEM), exploratory structural equation modeling (ESEM) with target rotation, Bayesian structural equation modeling (BSEM), and each of the three with augmentation. Results revealed four clear patterns: 1) forcing even small cross-loadings to zero was detrimental to empirical identification, estimation bias, power and Type I error rates; 2) the performance of ESEM with target rotation was unexpectedly weak; 3) augmented BSEM had satisfactory performance in an absolute sense and outperformed the other five strategies across most conditions; 4) augmentation improved the performance of ESEM and SEM, although the degree of improvement was not as substantial as that of BSEM. In addition, we also presented an empirical example to show the feasibility of the proposed approach. Overall, these findings can help users of bifactor predictive models design better studies, choose more appropriate analytical strategies, and obtain more reliable results. Implications, limitations, and future directions are discussed.

A comparative study on culture-specific and cross-cultural aspects of intercultural relations in Hungary, Serbia, Czech Republic, and Germany

The ability, will, and belief that it is possible to deal effectively with members of other cultural/ethnic groups are still gaining importance all over the world. However, the majority of studies on intercultural relations focus on Western Europe and the USA, applying constructs and theories that replicate a western-centered worldview. As a consequence, it is unclear whether established measures for intergroup attitudes and intercultural competence may be applied in Eastern European countries and to what extent they display comparable ideas, thoughts, and feelings. The current study thus explores cross-cultural commonalities and differences in established measures of ethnic identity, prejudice, acculturation strategies, intercultural intelligence, and multicultural personality. Therefore, we compare the scale structure, difficulty, and sensitivity in samples from Germany and the Eastern European countries Hungary, Serbia, and the Czech Republic (etic-perspective), as well as the culture-specific conceptions of said concepts (emic-perspective). Results show that the investigated scales do not work comparably across German and Eastern European samples. Differences might be rooted in variations of underlying thinking patterns and connotations of single expressions. Those variations are likely to be related to the constant individual societal and historical developments of cultures, shaping the way individuals think and talk about cultural diversity. Future studies are encouraged to consider culture-specific and generalizable aspects of constructs when conducting cross-cultural research on intercultural relations.

Psychometric Evaluation of a Big Five Personality State Scale for Intensive Longitudinal Studies

Despite enthusiasm for using intensive longitudinal designs to measure day-to-day manifestations of personality underlying differences between people, the validity of personality state scales has yet to be established. In this study, we evaluated the psychometrics of 20-item and 10-item daily, Big Five personality state scales in three independent samples (N = 1,041). We used multilevel models to separately examine the validity of the scales for assessing personality variation at the between- and within-person levels. Results showed that a five-factor structure at both levels fits the data well, the scales had good convergent and discriminative associations with external variables, and personality states captured similar nomological nets as established global, self-report personality inventories. Limitations of the scales were identified (e.g., low reliability, low correlations with external criterion) that point to a need for more, systematic psychometric work. Our findings provide initial support for the use of personality state scales in intensive longitudinal designs to study between-person traits, within-person processes, and their interrelationship.

General Factor of Personality and Its Relationship with the Dark Triad and Social Intelligence in Slovenian Adolescents

The general factor of personality (GFP) represents the shared variance between personality traits that yield social adjustment and acts as a core personality disposition. In the present study, the existence of GFP in a sample of 249 Slovenian adolescents aged 15–19 years was investigated, and the relationship between GFP, the Dark Triad, and social intelligence was researched. The study used three self-report questionnaires to measure the Big Five, the Dark Triad, and three dimensions of social intelligence. It was found that, in adolescents, GFP exists (although in a somewhat different composition than in previous studies) and is negatively correlated with Machiavellianism and psychopathy and positively correlated with social skills and social awareness. GFP acts as a significant positive predictor of all social intelligence dimensions, and Machiavellianism acts as a significant positive predictor of social information processing and social skills. It can be concluded that GFP and, to a certain extent, perhaps some manipulative tendencies positively predict how an individual functions in society. With these findings, the study contributes to the understanding of the (hierarchical) structure of personality and its association with behavior in social interactions, which is one of the most important developmental tasks in adolescence.

How Robust Is the p Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Youth Psychopathology

We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youth (Ns = 2119, 303, 592) for whom three informants reported on the youth's psychopathology (e.g., child, parent, teacher). Empirical support for the p-factor diminished in multi-informant models compared with mono-informant models: the correlation between externalizing and internalizing factors decreased and the general factor in bifactor models essentially reflected externalizing. Widely used MTMM-informed approaches for modeling multi-informant data cannot distinguish between competing interpretations of the patterns of effects we observed, including that the p-factor reflects, in part, evaluative consistency bias or that psychopathology manifests differently across contexts (e.g., home vs. school). Ultimately, support for the p-factor may be stronger in mono-informant designs, although it is does not entirely vanish in multi-informant models. Instead, the general factor of psychopathology in any given mono-informant model likely reflects a complex mix of variances, some substantive and some methodological.

Social capital, identification and support: Scope for integration

Social relationships are important predictors of a range of individual outcomes, such as wellbeing and health. These social relationships are conceptualised in different ways, such as (inter-personal) forms of social support, identification with groups, or social capital. What is the overlap among these concepts and in what ways do they differ? The present work aims to clarify this with empirical evidence from two panel studies (N = 3934; N = 2912). The studies include central measures of social relationships (group identification, group membership, social support and social capital). Empirical differences and overlap were studied by evaluating the factor structure of the data with both confirmatory factor analyses and bi-factor analyses. Results showed that the different concepts had a large amount of empirical overlap (together accounting for over 60% of common variance). Surprisingly, results also revealed that subcomponents were identifiable based on who they target and not based on their conceptualisation. For example, items about identification with neighbourhood factored together with support items from the neighbourhood, and not with other identification items. Accordingly, we conclude that in addition to a general factor, it is possible to meaningfully distinguish components of social relations based on which group is targeted by the items (e.g. neighbourhood or family and friends). For future research on the relationship between social relations and health, the present measures are unlikely to be sufficiently precise to disentangle whether health effects are caused by identification, support or capital. Differences between targets appear to be more important than differences between these concepts for understanding the relationship between social relations and health and wellbeing.

The General Factors of Personality Disorder, Psychopathology, and Personality

There is considerable interest in the study of the general factors of personality disorder (g-PD), psychopathology (p factor), and personality (GFP). One prominent interpretation of the g-PD is that it is defined by the self-interpersonal impairments of Criterion A of the DSM-5 Section III. However, no study has directly tested this hypothesis as no prior g-PD study has included a measure of Criterion A. The current study provides a direct test of this hypothesis, along with comparing g-PD with the general factors of psychopathology and personality. Also extracted was a common general factor across all three domains. Suggested herein is that the g-PD, the p factor, and the GFP reflect the impairments (e.g., social and occupational dysfunction) that are secondary to the traits and disorders rather than the traits and/or disorders themselves.

Genetic and Environmental Architecture of Five Factor Model and Super-Factors: An Italian Twin Study

No previous research explored the genetic and environmental structure of Big Five dimensions of personality and higher-order factors in a single twin study, except, in part, for just one study. We used the twin design to estimate the effects of genes and environment on both Five Factor model and related second- and third-order factors (i.e., Alpha [stability], Beta [plasticity], and GFP [general factor of personality]). We analyzed data from 314 adult twins (157 pairs: 83 monozygotic, 74 dizygotic; mean age: 52 years) enrolled in the Italian Twin Register. Participants underwent clinical and instrumental evaluations, and completed a 25-adjective list drawn from the Short Adjectives Checklist to Measure Big Five (SACBIF). We applied quantitative genetic models to unravel the sources of variation and covariation for the Big Five and higher-order factors. We found a similar etiological architecture across the different levels of analysis, with moderate to substantial non-additive genetic and unique environmental influences on all the personality traits, and no shared environmental contribution for any of them. We also detected significant genetic correlations for the Big Five dimensions and the Alpha and Beta super-factors. With some limitations, our results suggest that the etiological architecture of personality may be invariant to the factor level of analysis.

The General Factor of Personality as Ego-Resiliency

It was originally hypothesized by Block that what has come to be known as the General Factor of Personality (GFP) reflects ego-resiliency. We test Block's hypothesis in two studies. In Study 1 a meta-analysis (N = 15,609) examining the relationship between the GFP and ego-resiliency/resilience was conducted. In Study 2 (N = 157) archival data from Block and Block was used to examine the association between rater judged ego-resiliency across childhood, adolescence, and into early adulthood and the GFP based on self-report in early adulthood. Using structural equation modeling for the meta-analytic data, the correlation between the GFP and ego-resiliency/resilience was estimated at r = 0.93. Using a trait-state occasion model to test the hypothesis in Study 2, the correlation between the GFP and rated ego-resiliency was estimated at r = 0.85. The results of the two studies offer substantial support for Block's original hypothesis. Given the strength of the associations between the GFP and ego-resiliency/resilience one may conclude that the two constructs largely reflect the same underlying phenomenon.

Overlap between general factors of psychopathology and personality: They share associations with daily life functioning and communication style

Previous studies have shown that specific personality dimensions, -e.g., the Big Five-, consistently intercorrelate, such that they form a general factor of personality (GFP). It has been hypothesized that the GFP reflects social effectiveness. Similarly, in the clinical domain, overlap between various psychopathological symptoms has also been reported, leading to a general factor of Psychopathology, or p factor. The aim of this study was to test the overlap between the higher-order factors in personality and psychopathology, and how they relate to daily life functioning and communication style. We tested a sample of 165 outpatients of a psychological therapy institute, using a multi-source approach that included self-reports and other ratings. The outpatients’ self-reports of personality, general psychological problems, and interpersonal problems were available. Psychotherapists rated the outpatients’ functioning in daily life with the well-known Global Assessment of Functioning (GAF) scale. A spouse or friend also rated the impact of the patient’s communication/social behavior. Patients with lower GFP scores and higher scores on general psychopathology, displayed more distress and daily functioning deficits (i.e., lower GAF scores) and, in terms of communication styles, were also rated as being less dominant, less in control socially, and more submissive and aggressive. We proposed that part of the overlap between the general factors (GFP, psychopathology factors) may relate to a lower general life functioning and less social effectiveness.

Do Early Life Experiences Predict Variation in the General Factor of Personality (GFP)?

Objective

The controversial General Factor of Personality (GFP) has been proposed as an indicator of social effectiveness and a slower life history strategy. An alternative hypothesis holds that only meta-trait alpha, comprising agreeableness, conscientiousness, and emotional stability, is a slow life history indicator. This study tested whether the GFP and/or alpha emerges from both self- and stranger-ratings, and whether either is predicted by indicators of harsh childhood ecologies.

Methods

U.S. undergraduate participants (N = 366) completed a Big Five instrument, a measure of socially desirable response bias, and brief (thin slice) videotaped interviews. Raters scored the interviews using the same Big Five instrument.

Results

Structural equation modeling of the self-report data yielded a well-fitting GFP, which was positively associated with father closeness. Meta-trait alpha, based on self-report, was associated with both father closeness and neighborhood stress, but showed positive loadings only for agreeableness and emotional stability. Stranger-rating data failed to yield either a well-fitting GFP or metatrait alpha.

Conclusions

Our findings are equivocal regarding the usefulness of the GFP specifically, and higher-order personality factors generally, in evolutionary personality science.

Personality, subjective well-being, and the serotonin 1a receptor gene in common marmosets (Callithrix jacchus)

Studies of personality traits in common marmosets (Callithrix jacchus) indicate that there are five or six constructs-Sociability, Dominance, Neuroticism, Openness, and two related to Conscientiousness. The present study attempted to determine whether our earlier study of laboratory-housed individuals only yielded three-Dominance, Sociability, and Neuroticism-because of a low amount of between-subjects variance. To do so, we increased our sample size from 77 to 128. In addition, we ascertained the reliability and validity of ratings and whether polymorphisms related to the serotonin 1a receptor were associated with personality. We found Sociability, Dominance, and Negative Affect factors that resembled three domains found in previous studies, including ours. We also found an Openness and Impulsiveness factor, the latter of which bore some resemblance to Conscientiousness, and two higher-order factors, Pro-sociality and Boldness. In further analyses, we could not exclude the possibility that Pro-sociality and Boldness represented a higher-level of personality organization. Correlations between personality factors and well-being were consistent with the definitions of the factors. There were no significant associations between personality and genotype. These results suggest that common marmoset personality structure varies as a function of rearing or housing variables that have not yet been investigated systematically.

A less evaluative measure of Big Five personality: Comparison of structure and criterion validity

Researchers and practitioners have long been concerned about detrimental effects of socially desirable responding on the structure and criterion validity of personality assessments. The current research examined the effect of reducing evaluative item content of a Big Five personality assessment on test structure and criterion validity. We developed a new public domain measure of the Big Five called the Less Evaluative Five Factor Inventory (LEFFI), adapted from the standard 50-item IPIP NEO, and intended to be less evaluative. Participants ( n = 3164) then completed standard (IPIP) and neutralized (LEFFI) measures of personality. Criteria were also collected, including academic grades, age, sex, smoking, alcohol consumption, exercise, protesting, religious worship, music preferences, dental hygiene, blood donation, other-rated communication styles, other-rated HEXACO personality, and cognitive ability (ICAR). Evaluativeness of items was reduced in the neutralized measure. Cronbach's alpha and test-retest reliability were maintained. Correlations between the Big Five were reduced in the neutralized measure and criterion validity was similar or slightly reduced in the neutralized measure. The large sample size and use of objective criteria extend past research. The study also contributes to debates about whether the general factor of personality and agreement with socially desirable content reflect substance or bias.

Self-Reported Levels of Personality Functioning from the Operationalized Psychodynamic Diagnosis (OPD) System and Emotional Intelligence Likely Assess the Same Latent Construct

We tested the hypothesis that structural integration, as assessed in the Operationalized Psychodynamic Diagnosis (OPD) system, and emotional intelligence (EI), as studied in personality psychology, might be closely related constructs at a general level, as both might assess general personality functioning. In three studies (n1 = 166, n2 = 204, n3 = 349), we used a self-report measure of OPD structural integration and measures of Trait and Ability EI. Structural integration and Trait EI display very high correlation at general factor level (r = .77 - .82) and almost perfect latent correlation (r = .85 - .90). This correlation cannot be explained away by the general positivity of self-views or socially desirable responding. There is also substantial latent correlation between structural integration and Ability EI (r = .20 - .65). Results replicate over different samples from different countries and extend to the DSM-5 self-report personality functioning scale.

The "Big Everything": Integrating and investigating dimensional models of psychopathology, personality, personality pathology, and cognitive functioning

Common factors are increasingly used to model the structure of psychopathology ("p"), personality (General Factor of Personality [GFP]), pathological personality (General Factor of Pathological Personality [GFPP]), and intelligence ("g"). Using 4 waves spanning ages 18-29 in a cohort of college students (baseline n = 489), this study used indicators of psychopathology, personality, pathological personality, and cognitive functioning to compare models that included Cognitive Functioning, p, GFP, GFPP, and a "Big Everything" factor (which included cross-domain measures as indicators). GFP, GFPP, and p exhibited substantial overlap, and the Big Everything factor accounted for considerable variance in psychopathology, personality, and pathological personality indicators. Only a self-report measure of cognitive functioning loaded significantly onto the Big Everything. This study highlights concerns in the pursuit of identifying and reifying common factors based on the modeling of residual variances and limitations of using factor modeling to determine the structure of psychologically relevant phenomena. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Is the General Factor of Personality Really Related to Frequency of Agreeable, Conscientious, Emotionally Stable, Extraverted, and Open Behavior?

Abstract. Proponents of the general factor of personality have suggested that it is related to more instances of agreeable, conscientious, emotionally stable, extraverted, and open behavior. We tested this frequency hypothesis by relating the GFP from personality self-ratings to the number of instances of typical Big Five behaviors in real life. For a period of 18 consecutive days, 108 students provided responses to experience sampling items on their mobile phones. The items described concrete behaviors that were rated by experts of the Big Five as typical of either of the five traits and were phrased in a way that made them easy to interpret and respond to. The items were then validated in study 1 and it was found that the behavior correlated with Big Five ratings. In a second study, we tested the hypothesis that GFP is related to a higher frequency of GFP related behavior. The results provided little support for the frequency hypothesis and are more compatible with an interpretation of the GFP in terms of style rather than substance.

On Omega Hierarchical Estimation: A Comparison of Exploratory Bi-Factor Analysis Algorithms

As general factor modeling continues to grow in popularity, researchers have become interested in assessing how reliable general factor scores are. Even though omega hierarchical estimation has been suggested as a useful tool in this context, little is known about how to approximate it using modern bi-factor exploratory factor analysis methods. This study is the first to compare how omega hierarchical estimates were recovered by six alternative algorithms: Bi-quartimin, bi-geomin, Schmid-Leiman (SL), empirical iterative empirical target rotation based on an initial SL solution (SLiD), direct SL (DSL), and direct bi-factor (DBF). The algorithms were tested in three Monte-Carlo simulations including bi-factor and second-order structures and presenting complexities such as cross-loadings or pure indicators of the general factor and structures without a general factor. Results showed that SLiD provided the best approximation to omega hierarchical under most conditions. Overall, neither SL, bi-quartimin, nor bi-geomin produced an overall satisfactory recovery of omega hierarchical. Lastly, the performance of DSL and DBF depended upon the average discrepancy between the loadings of the general and the group factors. The re-analysis of eight classical datasets further illustrated how algorithm selection could influence judgments regarding omega hierarchical.

Stability and well-being: Associations among the Big Five domains, metatraits, and three kinds of well-being in a large sample

OBJECTIVE

The present study estimates associations of the Big Five domains and their metatraits with individual indicators of eudaimonic, hedonic, and social well-being, as well as broader factors that capture the tendency for these individual indicators to correlate.

METHOD

Using data from a large sample of adults from the United States, confirmatory factor analysis and exploratory structural equation modeling was used to verify the factor structure of Big Five personality and well-being in adulthood. The factor structure of the Big Five domains and well-being was carried forward to estimate associations between personality and well-being at each of three assessments and different levels of analysis using structural equation modeling.

RESULTS

Associations between the Big Five metatraits and well-being were strong and consistent across the three measurements when the average ages of participants were 46, 54, and 63 years. Similar results were observed whether focused on a fine-grained or broad level of analysis.

CONCLUSIONS

For all types of well-being, the metatraits accounted for more variance than the Big Five domains, even when the Big Five were operationalized using latent factors, emphasizing the importance of considering this level of analysis when elucidating relations between personality and well-being.

The Properties and Utility of Less Evaluative Personality Scales: Reduction of Social Desirability; Increase of Construct and Discriminant Validity

Evaluative neutralization implies rephrasing items such that it is less clear to the respondent what would be a desirable response in the given population. The current research compares evaluatively neutralized scales measuring the FFM model with standard counterparts. Study 1 reveals that evaluatively neutralized scales are less influenced by social desirability. Study 2 estimates higher-order factor models for neutralized vs. standard five-factor scales. In contrast to standard inventories, there was little support for higher-order factors for neutralized scales. Study 3 demonstrates the convergent and discriminant validity for the neutralized scales, e.g., by less inflated correlations to external measures. It is argued that evaluatively neutralized inventories help researchers come to grips with social desirability in personality measurement, and are particularly useful when the factor structure is central to the research question and there is a focus on discriminant validity.

Calibrating the Test of Relational Reasoning: New Information From Oblique Bifactor Models

Relational reasoning (RR) is believed to be an essential construct for studying higher education learning. Relational reasoning is defined as an ability to discern meaningful patterns within any stream of information. Nonetheless, studies of RR are limited by the psychometric structure of the construct. For many instances, the composite nature of RR has been described as a bifactor structure. Bifactor models limit possibilities for studying the inner structure of composite constructs by demanding orthogonality of latent dimensions. Such assumption severely limits the interpretation of the results when it is applied to psychological constructs. However, over the last 10 years, advances in the fields of Rasch measurement led to the development of the oblique bifactor models, which relax the constraints of the orthogonal bifactor models. We show that the oblique bifactor models exhibit model fit, which is superior compared to the orthogonal bifactor model. Then, we discuss their interpretation and demonstrate the advantages of these models for investigating the inner structure of the test of RR. The data are a nationally representative sample of Russian engineering students (N = 2,036).

Steps Towards a Unified Theory of Psychopathology: The Phase Space of Meaning Model

The hypothesis of a general psychopathology factor (p factor) has been advanced in recent years. It is an innovation with breakthrough potential, in the perspective of a unified view of psychopathology; however, what remains a controversial topic is how its nature might be conceptualized. The current paper outlines a semiotic, embodied and psychoanalytic conceptualization of psychopathology - the Phase Space of Meaning (PSM) model - aimed at providing ontological grounds to the p factor hypothesis. Framed within a more general model of how the mind works, the PSM model maintains that the p factor can be conceived as the empirical marker of the degree of rigidity of the meaning-maker's way of interpreting experience, namely of the dimensions of meanings used to map the environment's variability. As to the clinical implications, two main aspects are outlined. First, according PSM model, psychopathology is not an invariant condition, and does not have a set dimensionality, but is able to vary it locally, in order to address the requirement of situated action. Second, psychopathology is conceived as one of the mind's modes of working, rather than the manifestation of its disruption. Finally, the puzzling issue of the interplay between stability and variability in the evolutionary trajectories of patients along with their life events is addressed and discussed.

The general factor of psychopathology: a comparison with the general factor of intelligence with respect to magnitude and predictive validity

In recent years, there has been a surge of interest in the general factor of psychopathology ("p"), which is intended to summarize broad psychiat-ric comorbidity into a single index. In this study, rather than attempting to validate this model using statistical techniques, we compared the magnitude (as indicated by the variance explained in the respective indicators) and the predictive validity of the "p" factor with those of the gen-eral factor of intelligence ("g"). To compare the magnitude, for "g", we analyzed fifteen Wechsler Adult Intelligence Scale subtests (N=1,200). For "p", we analyzed fourteen psychiatric diagnoses in Swedish adults (N=909,699), eight self- and parent-rated psychopathology scales in Swedish adolescents (N=2,069), and sixteen parent-rated psychopathology scales in Swedish children (N=14,589). To compare the predictive validity, we analyzed Swedish male military conscripts (N=414,595, mean age: 18.3 years) with measures on both "g" and "p" (derived from eight psychiatric diagnoses). We then examined their unique associations with three intelligence-related outcomes (annual income, highest education, and university entrance exam scores), and sixteen adverse outcomes (e.g., suicidal behavior, psychotropic medication prescription, and criminality) retrieved from registers (mean age at follow-up = 29.2 years). Results indicated that the magnitudes of "g" and "p" were very similar. Controlling for "p", "g" significantly predicted later education (standardized beta, β=0.38, SE=0.01) and university entrance exam scores (β=0.48, SE=0.01). Controlling for "g", "p" significantly predicted all adverse outcomes (mean β=0.32; range: 0.15 to 0.47). These findings support the notion that psychopathology indicators can be combined into a single score, similar to how intelligence subtests are combined into a general intelligence score. This "p" score might supplement specific diagnoses when formulating a management plan and predicting prognosis.

A little garbage in, lots of garbage out: Assessing the impact of careless responding in personality survey data

In self-report surveys, it is common that some individuals do not pay enough attention and effort to give valid responses. Our aim was to investigate the extent to which careless and insufficient effort responding contributes to the biasing of data. We performed analyses of dimensionality, internal structure, and data reliability of four personality scales (extroversion, conscientiousness, stability, and dispositional optimism) in two independent samples. In order to identify careless/insufficient effort (C/IE) respondents, we used a factor mixture model (FMM) designed to detect inconsistencies of response to items with different semantic polarity. The FMM identified between 4.4% and 10% of C/IE cases, depending on the scale and the sample examined. In the complete samples, all the theoretical models obtained an unacceptable fit, forcing the rejection of the starting hypothesis and making additional wording factors necessary. In the clean samples, all the theoretical models fitted satisfactorily, and the wording factors practically disappeared. Trait estimates in the clean samples were between 4.5% and 11.8% more accurate than in the complete samples. These results show that a limited amount of C/IE data can lead to a drastic deterioration in the fit of the theoretical model, produce large amounts of spurious variance, raise serious doubts about the dimensionality and internal structure of the data, and reduce the reliability with which the trait scores of all surveyed are estimated. Identifying and filtering C/IE responses is necessary to ensure the validity of research results.

Value Beliefs About Math

Abstract. This study proposed an improved representation of the factor structure of the Gaspard et al. (2015) value beliefs about math scale relying on bifactor exploratory structural equation modeling (B-ESEM). Using a convenience sample of 537 Italian students (327 males; Mage = 18.2), our results supported the superiority of a B-ESEM solution including nine specific factors (intrinsic, importance of achievement, personal importance, utility for school/job, utility for life, social utility, effort required, opportunity cost, and emotional cost) and one global value factor. The results further revealed that the specific factors (with the exception of personal importance) retained meaning over and above participants’ global levels of value. Finally, our results confirmed that global value beliefs predicted career aspirations, whereas expectancies of success remained the strongest predictor of math achievement.

The General Factor of Psychopathology

An important advance in understanding and defining mental disorders has been the development of empirical approaches to mapping dimensions of dysfunction and their interrelatedness. Such empirical approaches have consistently observed intercorrelations among the many forms of psychopathology, leading to the identification of a general factor of psychopathology (the p factor). In this article, we review empirical support for p, including evidence for the stability and criterion validity of p. Further, we discuss the strong relationship between p and both the general factor of personality and the general factor of personality disorder, substantive interpretations of p, and the potential clinical utility of p. We posit that proposed substantive interpretations of p do not explain the full range of symptomatology typically included in p. The most plausible explanation is that p represents an index of impairment that has the potential to inform the duration and intensity of a client's mental health treatment.