Compilation and Validation of Two Short Forms to Measure HEXACO Dimensions in Elementary School Children.

Personality trait measures for children are rarely based on the HEXACO Model of Personality, although research using this framework could provide important insights into the structure and development of children's personalities. There is no HEXACO measure for elementary school children to date, and existing measures for older children seem inappropriate for this age group (e.g., due to some item content). We thus compiled two HEXACO-based short forms for measuring personality in elementary school children (8-10 years old) via parent reports. We applied a meta-heuristic item sampling algorithm (Ant Colony Optimization) in a training sample with 1,641 parent reports of 122 administered items. We selected a 54-Item Short Form comprising a latent facet structure and an 18-Item Ultra-Short Form comprising a correlated factors model for all six HEXACO dimensions but no facet structure. Both short forms showed good model fit in a holdout sample (n = 411) and sufficiently high re-test correlations after six months. Convergent and divergent validities for maximal performance measures and socio-emotional constructs (also measured six months after the initial personality assessment) were largely in line with theoretical assumptions. Overall, our study provides support for construct, re-test, and (predictive) criterion validity for the selected short forms.

Ant colony optimization for parallel test assembly.

Ant colony optimization (ACO) algorithms have previously been used to compile single short scales of psychological constructs. In the present article, we showcase the versatility of the ACO to construct multiple parallel short scales that adhere to several competing and interacting criteria simultaneously. Based on an initial pool of 120 knowledge items, we assembled three 12-item tests that (a) adequately cover the construct at the domain level, (b) follow a unidimensional measurement model, (c) allow reliable and (d) precise measurement of factual knowledge, and (e) are gender-fair. Moreover, we aligned the test characteristic and test information functions of the three tests to establish the equivalence of the tests. We cross-validated the assembled short scales and investigated their association with the full scale and covariates that were not included in the optimization procedure. Finally, we discuss potential extensions to metaheuristic test assembly and the equivalence of parallel knowledge tests in general.

Resting-state brain signal complexity discriminates young healthy APOE e4 carriers from non-e4 carriers.

It is well established that the e4 allele of the APOE gene is associated with impaired brain functionality and cognitive decline in humans at elder age. However, it is controversial whether and how the APOE e4 allele is associated with superior brain function among young healthy individuals, thus indicates a case of antagonistic pleiotropy of APOE e4 allele. Signal complexity is a critical aspect of brain activity that has been associated with brain function. In this study, the multiscale entropy (MSE) of resting-state EEG signals among a sample of young healthy adults (N = 260) as an indicator of brain signal complexity was investigated. It was of interest whether MSE differs across APOE genotype groups while age and education level were controlled for and whether the APOE genotype effect on MSE interacts with MSE time scale, as well as EEG recording condition. Results of linear mixed models indicate overall larger MSE in APOE e4 carriers. This genotype-dependent difference is larger at high as compared with low time scales. The interaction effect between APOE genotype and recording condition indicates increased between-state MSE change in young healthy APOE e4 carriers as compared with non-carriers. Because higher complexity is commonly taken to be associated with better cognitive functioning, the present results complement previous findings and therefore point to a pleiotropic spectrum of the APOE gene polymorphism.

The Nomological Net of Knowledge, Self-Reported Knowledge, and Overclaiming in Children.

Research on self-reported knowledge and overclaiming in children is sparse. With the current study, we aim to close this gap by developing an overclaiming questionnaire measuring self-reported knowledge and overclaiming that is tailored to children. Moreover, we examine the nomological net of self-reported knowledge and overclaiming in childhood discussing three perspectives: Overclaiming as (a) a result of deliberate self-enhancement tendencies, (b) a proxy for declarative knowledge, and (c) an indicator of creative engagement. We juxtaposed overclaiming, as indicated by claiming familiarity with non-existent terms, and self-reported knowledge with fluid and crystallized intelligence, creativity, and personality traits in a sample of 897 children attending third grade. The results of several latent variable analyses were similar to findings known from adult samples: We found no strong evidence for any of the competing perspectives on overclaiming. Just like in adults, individual differences in self-reported knowledge were strongly inflated by overclaiming, and only weakly related to declarative knowledge.

Psychological models of development of idiopathic environmental intolerances: Evidence from longitudinal population-based data.

The origin of idiopathic environmental intolerances (IEIs) is an open question. According to the psychological approaches, various top-down factors play a dominant role in the development of IEIs. The general psychopathology model assumes a propensity towards mental ill-health (negative affectivity) increases the probability of developing IEIs. The attribution model emphasizes the importance of mistaken attribution of experienced somatic symptoms; thus, more symptoms should lead to more IEIs. Finally, the nocebo model highlights the role of expectations in the development of IEIs. In this case, worries about the harmful effects of environmental factors are assumed to evoke IEIs. We estimated cross-lagged panel models with latent variables based on longitudinal data obtained at two time points (six years apart) from a large near-representative community sample to test the hypothesized associations. Indicators of chemical intolerance, electromagnetic hypersensitivity, and sound sensitivity fit well under a common latent factor of IEIs. This factor, in turn, showed considerable temporal stability. However, whereas a positive association was found between IEIs and increased somatic symptoms and modern health worries six years later, the changes therein could not be predicted as hypothesized by the three psychological models. We discuss the implications of these results, as well as methodological aspects in the measurement and prediction of change in IEIs.

Structural differences in life satisfaction in a U.S. adult sample across age.

OBJECTIVE: Many studies investigating age-related mean differences in life satisfaction disregard potential differences in the structure of the life satisfaction construct. Because developmental tasks at different life stages vary and thus the salience of specific life domains (e.g., health, finances, relationships, etc.) might differ, life satisfaction might differ between age groups in its underlying structure and meaning. METHOD: To address this issue, we investigated the covariance structure of life satisfaction as measured by the Satisfaction with Life Scale (SWLS) and the domains of health satisfaction and financial satisfaction with local structural equation modeling. We analyzed data from 8341 U.S. citizens between the ages of 30 and 97 who participated in the Panel Study of Income Dynamics. Furthermore, we explored the association of respondents' health and financial status with life satisfaction. RESULTS: Both the SWLS and domain items were found to be invariant across age. The health and financial status accounted for small proportions of variance in overall life satisfaction and the respective domain satisfactions significantly at all ages. CONCLUSION: The current analysis indicates that across the adult age range, general life satisfaction is qualitatively the same, and health and financial satisfaction are equally integrated into overall life satisfaction.

Examining the Factor Structure and Validity of the Multidimensional Assessment of Interoceptive Awareness.

The goal of this study was to psychometrically evaluate the Multidimensional Assessment of Interoceptive Awareness (MAIA), a popular self-report questionnaire claimed to assess the most important subjective aspects of interoception. We collected data in two samples (N = 644 and N = 1,516) and focused on the factor structure and validity of MAIA, as well as its associations with personality traits. Confirmatory Factor Analysis suggested that six of the eight subscales measure a common general factor of self-reported interoception; two MAIA subscales, Not-Worrying and Not-Distracting were only weakly related to this factor. Whereas the general factor correlated strongly with a measure of perceived attentiveness to normal nonemotive body processes, and moderately with Extraversion, Openness and Conscientiousness, the Not-Worrying factor showed moderate to strong negative correlations with Emotionality, pain catastrophization, and anxiety-related aspects of body focus. Not-Distracting was only weakly associated with the validating scales. Overall, these findings do not support the claimed eight-factor structure of the MAIA but indicate the existence of an overarching general factor. Additionally, this study provides evidence that interoceptive awareness, as measured by the MAIA, is related to, but distinct from personality.

Cognitive Performance in Young APOE ε4 Carriers: A Latent Variable Approach for Assessing the Genotype-Phenotype Relationship.

The ε4 allele of the apolipoprotein (APOE) gene is a widely recognized genetic risk factor for developing Alzheimer's disease in older age. However, it is controversial whether there is a positive impact of the APOE ε4 allele on human cognitive performance in young adulthood, possibly representing a case of antagonistic pleiotropy. Here we explored associations of the APOE ε4 allele with cognitive ability in young adulthood. In contrast to previous studies, we used structural equation modeling that allows a multivariate measurement of the cognitive phenotype. Results based on four independent samples (N1 = 245; N2 = 300; N3 = 244; N4 = 206) overall revealed a complex effect of the APOE ε4 genotype on cognitive ability in young adulthood: Whereas the ε4 allele tends to be negatively associated with cognitive performance in individuals with lower education levels, there might be a weak positive association in persons with higher education-a finding that is partly in line with the antagonistic pleiotropy view on APOE and cognitive ability. The education-related findings support protective effects of environmental factors.

Sex differences in facial emotion perception ability across the lifespan.

Perception of emotion in the face is a key component of human social cognition and is considered vital for many domains of life; however, little is known about how this ability differs across the lifespan for men and women. We addressed this question with a large community sample (N = 100,257) of persons ranging from younger than 15 to older than 60 years of age. Participants were viewers of the television show "Tout le Monde Joue", and the task was presented on television, with participants responding via their mobile devices. Applying latent variable modeling, and establishing measurement invariance between males and females and across age, we found that, for both males and females, emotion perception abilities peak between the ages of 15 and 30, with poorer performance by younger adults and declining performance after the age of 30. In addition, we show a consistent advantage by females across the lifespan, which decreases in magnitude with increasing age. This large scale study with a wide range of people and testing environments suggests these effects are largely robust. Implications are discussed.

Change in Fluid and Crystallized Intelligence and Student Achievement: The Role of Intellectual Engagement.

Intellectual engagement (IE) refers to enjoyment of intellectual activities and is proposed as causal for knowledge acquisition. The role of IE for cognitive development was examined utilizing 2-year longitudinal data from 112 ninth graders (average baseline age: 14.7 years). Higher baseline IE predicted higher baseline crystallized ability but not changes therein, and was not associated with fluid ability. Furthermore, IE predicted change in school grades in language but not in mathematics grades or in standardized tests. These findings suggest that IE is not a major predictor of knowledge acquisition in adolescence, where degree of self-determination in intellectual behaviors may be relatively limited. Open questions for future research are addressed, including reciprocal longitudinal associations between IE and academic and cognitive development.

A confirmatory examination of age-associated personality differences: Deriving age-related measurement-invariant solutions using ant colony optimization.

OBJECTIVE: The goal of this study was to examine age-associated personality differences using a measurement-invariant representation of the higher-order structure of the Five-Factor Model. METHOD: We reanalyzed the German NEO-PI-R norm sample (N = 11,724) and applied ant colony optimization in a multigroup confirmatory factor analysis setting in order to select three items per first-order factor that would optimize model fit and measurement invariance across 18 age groups ranging from 16 to 65 years of age. RESULTS: Ant colony optimization substantially improved absolute and relative model fit under measurement invariance constraints. However, the results showed that even when selecting items, measurement invariance across a large age span could not be guaranteed. Strong measurement invariance for Extraversion and Agreeableness could not be established. The age-associated mean-level differences of the first-order factors of Neuroticism and Conscientiousness supported the maturity hypothesis. The mean levels of the first-order factors of Openness varied substantially from each other across age. CONCLUSIONS: Findings on age differences in personality can be particularly distorted in older age groups. Testing for and ensuring measurement invariance with item selection procedures can help solve this problem. The higher-order structure of personality should be accounted for when personality development is examined.

Are event-related potentials to dynamic facial expressions of emotion related to individual differences in the accuracy of processing facial expressions and identity?

Despite a wealth of knowledge about the neural mechanisms behind emotional facial expression processing, little is known about how they relate to individual differences in social cognition abilities. We studied individual differences in the event-related potentials (ERPs) elicited by dynamic facial expressions. First, we assessed the latent structure of the ERPs, reflecting structural face processing in the N170, and the allocation of processing resources and reflexive attention to emotionally salient stimuli, in the early posterior negativity (EPN) and the late positive complex (LPC). Then we estimated brain-behavior relationships between the ERP factors and behavioral indicators of facial identity and emotion-processing abilities. Structural models revealed that the participants who formed faster structural representations of neutral faces (i.e., shorter N170 latencies) performed better at face perception (r = -.51) and memory (r = -.42). The N170 amplitude was not related to individual differences in face cognition or emotion processing. The latent EPN factor correlated with emotion perception (r = .47) and memory (r = .32), and also with face perception abilities (r = .41). Interestingly, the latent factor representing the difference in EPN amplitudes between the two neutral control conditions (chewing and blinking movements) also correlated with emotion perception (r = .51), highlighting the importance of tracking facial changes in the perception of emotional facial expressions. The LPC factor for negative expressions correlated with the memory for emotional facial expressions. The links revealed between the latency and strength of activations of brain systems and individual differences in processing socio-emotional information provide new insights into the brain mechanisms involved in social communication.

Exploring Factor Model Parameters across Continuous Variables with Local Structural Equation Models.

Using an empirical data set, we investigated variation in factor model parameters across a continuous moderator variable and demonstrated three modeling approaches: multiple-group mean and covariance structure (MGMCS) analyses, local structural equation modeling (LSEM), and moderated factor analysis (MFA). We focused on how to study variation in factor model parameters as a function of continuous variables such as age, socioeconomic status, ability levels, acculturation, and so forth. Specifically, we formalized the LSEM approach in detail as compared with previous work and investigated its statistical properties with an analytical derivation and a simulation study. We also provide code for the easy implementation of LSEM. The illustration of methods was based on cross-sectional cognitive ability data from individuals ranging in age from 4 to 23 years. Variations in factor loadings across age were examined with regard to the age differentiation hypothesis. LSEM and MFA converged with respect to the conclusions. When there was a broad age range within groups and varying relations between the indicator variables and the common factor across age, MGMCS produced distorted parameter estimates. We discuss the pros of LSEM compared with MFA and recommend using the two tools as complementary approaches for investigating moderation in factor model parameters.

Neurocognitive mechanisms of individual differences in face cognition: a replication and extension.

Face cognition performance is related to individual differences in cognitive subprocesses, as reflected in the amplitudes and latencies of event-related brain potentials (ERPs; Herzmann, Kunina, Sommer, & Wilhelm, 2010). In order to replicate and extend these findings, 110 participants were tested on a comprehensive task battery measuring face cognition abilities and established cognitive abilities, followed by ERP recordings in a face-learning-and-recognition task. We replicated the links of the ERP components indicating the speed of structural face encoding (N170 latency) and access to structural representations in memory (early repetition effect [ERE]/N250r) with the accuracy and speed of face cognition and with established cognitive abilities. As a novel result, we differentiated between the accuracy of face perception and face memory on the behavioral and electrophysiological levels and report a relationship between basic visual processes (P100 amplitude) and face memory. Moreover, the brain-behavior relationships for the ERE/N250r held true, even though we eliminated pictorial and perceptual structural codes from the priming effects by using backward masking of the primes with novel unfamiliar faces. On a methodological level, we demonstrated the utility of the latent difference score modeling technique to parameterize ERP difference components (e.g., ERE/N250r) on a latent level and link them to face cognition abilities.

Psychometric challenges and proposed solutions when scoring facial emotion expression codes.

Coding of facial emotion expressions is increasingly performed by automated emotion expression scoring software; however, there is limited discussion on how best to score the resulting codes. We present a discussion of facial emotion expression theories and a review of contemporary emotion expression coding methodology. We highlight methodological challenges pertinent to scoring software-coded facial emotion expression codes and present important psychometric research questions centered on comparing competing scoring procedures of these codes. Then, on the basis of a time series data set collected to assess individual differences in facial emotion expression ability, we derive, apply, and evaluate several statistical procedures, including four scoring methods and four data treatments, to score software-coded emotion expression data. These scoring procedures are illustrated to inform analysis decisions pertaining to the scoring and data treatment of other emotion expression questions and under different experimental circumstances. Overall, we found applying loess smoothing and controlling for baseline facial emotion expression and facial plasticity are recommended methods of data treatment. When scoring facial emotion expression ability, maximum score is preferred. Finally, we discuss the scoring methods and data treatments in the larger context of emotion expression research.

Driving factors of individual differences in broad retrieval ability: Gr is more than the sum of its parts.

Broad retrieval ability (Gr) posits an essential factor of human cognitive abilities. Previous literature indicates Gr is best modeled as a higher-order factor model with lower-level factors such as ideational fluency (IF), word fluency (WF), expressional fluency (EF), or figural fluency (FF). However, the dimensionality of Gr is not well studied. Furthermore, it remains unclear whether specific retrieval affordances such as differing retrieval time periods (e.g., short vs. long) can be psychometrically separated from more general retrieval affordances. Such a distinction would imply differential associations between specific retrieval, general retrieval, and other cognitive abilities, which, in turn, depict a vital part of explanatory models of individual differences in Gr. To test these assumptions, we conducted a multivariate study (N = 331) and evaluated competing latent variable measurement models for a variety of Gr tests. We then regressed the best measurement model onto working memory capacity, secondary memory, mental speed, and crystallized intelligence in order to evaluate the distinctiveness of Gr. Our results suggest that no specific retrieval affordances with regard to time periods can be distinguished. A higher-order model, with a second-order Gr factor above three first-order factors (IF, WF, EF, and FF) fitted the data best, extending previous literature by increasing construct coverage through the implementation of FF. All covariates show incremental predictive validity, beyond their communality. Summarizing, our results endorse a perspective on Gr as a strong and discriminant factor of cognitive abilities that is not affected by time constraints, and show that Gr is more than a linear combination of its parts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Public events knowledge in an age-heterogeneous sample: Reminiscence bump or bummer?

The reminiscence bump describes an increased recollection of autobiographic experiences made in adolescence and early adulthood. It is unclear if this phenomenon can also be found in declarative knowledge of past public events. To answer this question, we assessed public events knowledge (PEK) about the past 6 decades with a 120-item knowledge test across six domains in a sample of 1,012 Germans that were sampled uniformly across the ages of 30-80 years. General and domain-specific PEK scores were analyzed as a function of age-at-event. Scores were lower for public events preceding participants' birth and stayed stable from the age-at-event of 5-10 years onward. There was no significant peak in PEK in adolescence or early adulthood, arguing against an extension of the reminiscence effect to factual knowledge. We examined associations between PEK and relevant variables such as crystallized intelligence (Gc), news consumption, and openness to experience with structural equation models. Strong associations between PEK and Gc were established, whereas the associations of PEK with news consumption and openness were mainly driven by their link to declarative knowledge. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

"Show Me What You Got": The Nomological Network of the Ability to Pose Facial Emotion Expressions.

Just as receptive emotional abilities, productive emotional abilities are essential for social communication. Although individual differences in receptive emotional abilities, such as perceiving and recognizing emotions, are well-investigated, individual differences in productive emotional abilities, such as the ability to express emotions in the face, are largely neglected. Consequently, little is known about how emotion expression abilities fit in a nomological network of related abilities and typical behavior. We developed a multitask battery for measuring the ability to pose emotional expressions scored with facial expression recognition software. With three multivariate studies (n1 = 237; n2 = 141; n3 = 123), we test competing measurement models of emotion posing and relate this construct with other socio-emotional traits and cognitive abilities. We replicate the measurement model that includes a general factor of emotion posing, a nested task-specific factor, and emotion-specific factors. The emotion-posing ability factor is moderately to strongly related to receptive socio-emotional abilities, weakly related to general cognitive abilities, and weakly related to extraversion. This is strong evidence that emotion posing is a cognitive interpersonal ability. This new understanding of abilities in emotion communication opens a gateway for studying individual differences in social interaction.

The Road to Hell Is Paved With Good Intentions: How Common Practices in Scale Construction Hurt Validity.

Sound scale construction is pivotal to the measurement of psychological constructs. Common item sampling procedures emphasize aspects of reliability to the disadvantage of aspects of validity, which are less tangible. We use a health knowledge test as an example to demonstrate how item sampling strategies that focus on either factor saturation or construct coverage influence scale composition and demonstrate how to find a trade-off between these two opposing needs. More specifically, we compile three 75-item health knowledge scales using Ant Colony Optimization, a metaheuristic algorithm that is inspired by the foraging behavior of ants, to optimize factor saturation, construct coverage, or a compromise of both. We demonstrate that our approach is well suited to balance out construct coverage and factor saturation when constructing a health knowledge test. Finally, we discuss conceptual problems with the modeling of declarative knowledge and provide recommendations for the assessment of health knowledge.

Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions.

Emotion information processing (EIP) has been recently introduced as a new component of emotional intelligence. We present a task aiming at measuring a type of emotion information processing related to fine-grained discrimination of emotional expressions. We modified an existing task presenting morphed faces created from a blend of two prototypical emotional expressions. Participants' (N = 154) ability-EI, in particular emotion recognition, understanding and management, as well as intelligence were evaluated. Results show that all facets of EI independently predicted accuracy in the discrimination task and that emotion recognition was the strongest predictor. When controlling for emotion recognition level, we found that emotion understanding still predicted accuracy for less difficult stimuli. Results support the idea that individuals high in EI have higher emotion processing skills at the emotion perception stage of information processing and suggest that the task employed in the current study might measure more spontaneous processing of emotional expressions. Implications regarding the use of the current task as a new measure of the EIP component are discussed.