Measuring Global Character Dimensions: An Ant Colony Optimization Approach toward Three Core Strength Scales.

The Values in Action (VIA) framework encompasses 24 universally valued character strengths. Recent factor-analytic work has identified three global core strengths (metatraits) that proved to be well-interpretable and cross-culturally replicable: positivity, dependability, and mastery. However, there are no short scales to economically measure these core strengths that would encourage (large-scale) survey-based research on the global level of the VIA trait space. In the present study, we selected 18 items to measure the three metatraits from the 96-item IPIP-VIA-R inventory. To optimize the item selection while considering multiple psychometric criteria simultaneously, we made use of Ant Colony Optimization. Thereby, we obtained balanced-keyed scales that cover the heterogeneous constructs well, showed good model fit and reliability across six samples from Germany and the U.K. (total N = 2,754), and achieved scalar measurement invariance across countries. Furthermore, we demonstrated each scale's validity by locating the three core strengths in a nomological net with personality and value metatraits, life satisfaction, and behavioral criteria. Available in the public domain in English and German, these both valid and economical core strength scales may further stimulate integrative research on personality and values.

Examining sense of purpose and conscientiousness as unique correlates of health: A bifactor examination.

Conscientiousness and sense of purpose consistently predict health, wellbeing, and health behavior. However, it remains an open question whether they are unique or overlapping predictors of health and wellbeing. The current study considered this question using the MOSAiCH study, a nationally representative sample of 2305 Swiss adults (M: 52.33 years old; SD = 17.36). Participants reported on sense of purpose and conscientiousness, in addition to multiple health, wellbeing, and health behavior indicators (e.g. dietary practices, activity engagement, health conditions, psychological concerns, and doctor visits). Results found conscientiousness and sense of purpose were moderately associated with multiple health, wellbeing, and health behavior indicators. Bifactor modeling was employed to test the incremental validity of conscientiousness and sense of purpose, when accounting for their shared variance. The specific factor for purpose predicted outcomes even when accounting for conscientiousness. However, conscientiousness had little incremental validity over the general factor.

Model Specification Searches in Structural Equation Modeling Using Bee Swarm Optimization.

Metaheuristics are optimization algorithms that efficiently solve a variety of complex combinatorial problems. In psychological research, metaheuristics have been applied in short-scale construction and model specification search. In the present study, we propose a bee swarm optimization (BSO) algorithm to explore the structure underlying a psychological measurement instrument. The algorithm assigns items to an unknown number of nested factors in a confirmatory bifactor model, while simultaneously selecting items for the final scale. To achieve this, the algorithm follows the biological template of bees' foraging behavior: Scout bees explore new food sources, whereas onlooker bees search in the vicinity of previously explored, promising food sources. Analogously, scout bees in BSO introduce major changes to a model specification (e.g., adding or removing a specific factor), whereas onlooker bees only make minor changes (e.g., adding an item to a factor or swapping items between specific factors). Through this division of labor in an artificial bee colony, the algorithm aims to strike a balance between two opposing strategies diversification (or exploration) versus intensification (or exploitation). We demonstrate the usefulness of the algorithm to find the underlying structure in two empirical data sets (Holzinger-Swineford and short dark triad questionnaire, SDQ3). Furthermore, we illustrate the influence of relevant hyperparameters such as the number of bees in the hive, the percentage of scouts to onlookers, and the number of top solutions to be followed. Finally, useful applications of the new algorithm are discussed, as well as limitations and possible future research opportunities.

Purposeful and purposeless aging: Structural issues for sense of purpose and their implications for predicting life outcomes.

Despite the value of sense of purpose during older adulthood, this construct often declines with age. With some older adults reconsidering the relevance of purpose later in life, the measurement of purpose may suffer from variance issues with age. The current study investigated whether sense of purpose functions similarly across ages and evaluated if the predictive power of purpose on mental, physical, cognitive, and financial outcomes changes when accounting for a less age-affected measurement structure. Utilizing data from two nationwide panel studies (Health and Retirement Study: n = 14,481; Midlife in the United States: n = 4,030), the current study conducted local structural equation modeling and found two factors for the positively and negatively valenced purpose items in the Purpose in Life subscale (Ryff, 1989), deemed the purposeful and purposeless factor. These factors become less associated with each other at higher ages. When reproducing past findings with this two-factor structure, the current study found that the purposeful and purposeless factors predicted these outcomes in the same direction as would be suggested by past research, but the magnitude of these effects differed for some outcomes. The discussion focuses on the implications of what this means for our understanding of sense of purpose across the lifespan. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The effects of a personality intervention on satisfaction in 10 domains of life: Evidence for increases and correlated change with personality traits.

The desire to change one's personality traits has been shown to be stronger if people are dissatisfied with associated aspects of their life. While evidence for the effects of interventions on personality trait change is increasing, it is unclear whether these lead to subsequent improvements in the satisfaction with various domains of life. In this study, we examined the effects of a 3-month digital-coaching personality change intervention study on 10 domains of satisfaction. We focused on the three largest intervention groups of the study (N = 418), which included participants who wanted to increase their Emotional Stability, Conscientiousness, or Extraversion. Bivariate latent change score models were used to examine correlated change between the targeted personality traits and satisfaction domains. We found that global life satisfaction and satisfaction with oneself as a person increased in all three intervention groups. In addition, increases in specific satisfaction domains were reported for the Conscientiousness (e.g., work/school, health, friendships) and Emotional Stability (e.g., family, sexual relationships, emotions) group. Increases were stable up to the 3-month follow-up. In contrast, the waitlist control group did not report any changes in global or domain-specific life satisfaction. Changes in the satisfaction domains were positively correlated with self-reported personality trait change to a similar degree as the cross-sectional associations, but not to observer-reported personality trait change. The personality intervention thus seemed to have a positive effect on satisfaction with various domains of life, which was associated with the degree of self-reported personality trait change. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Association between personality traits, leisure activities, and cognitive levels and decline across 12 years in older adults.

The engagement in cognitively stimulating activities has been found to be associated with slower rates of cognitive decline in old age. In which type of activities people engage in may depend on their personality traits, which thus might have an impact on later cognitive fitness. To study these potential links, we examined the associations between Neuroticism, Extraversion, and Openness; different types of leisure activities (e.g., social, mental, physical); and cognitive ability levels and decline in older adults. Analyses were based on a sample of young-old (60-72 years old; n = 1,609) and old-old (78 years or older; n = 1,085) adults from the Swedish National Study on Aging and Care in Kungsholmen, who participated in up to five repeated measurements of cognitive abilities spanning 12 years. We used latent growth curve models to estimate cognitive levels and decline, as well as the correlations with initial personality trait levels and leisure activity engagement. In both groups, lower Neuroticism, higher Extraversion, and higher Openness levels were moderately associated with stronger engagement in all types of activities. Lower Neuroticism, higher Extraversion, and a more activity lifestyle were weakly to moderately associated with slower cognitive decline in the old-old age group. There, personality traits and activities explained 9.3% of the variance in cognitive decline after controlling for age, sex, education, and chronic diseases (which explained 9.0%). Taken together, this study provides further evidence for the connection between personality traits, activity engagement, and later cognitive decline in old age. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The link between personality, global, and domain-specific satisfaction across the adult lifespan.

Meta-analytic evidence has shown that personality is one of the strongest correlates of global and domain-specific satisfaction. The main goal of the present study was to examine whether the associations between personality traits and satisfaction differ across the adult lifespan. We used bivariate latent growth curve models and local structural equation modeling to study correlations between levels and change of Big Five personality traits and satisfaction with life, satisfaction with work, and satisfaction with social contacts. Data came from a large representative longitudinal Dutch sample (N = 9,110; age range 16-95). Across age, emotional stability showed the strongest associations with both global and domain-specific satisfaction. After emotional stability, conscientiousness was the strongest correlate of work satisfaction (WS), and extraversion and agreeableness were the strongest correlates of social satisfaction (SS). Longitudinal changes in personality and satisfaction across the 11 years covered in this study were moderately correlated, suggesting codevelopment between these constructs. Most correlational patterns were stable across the lifespan, indicating that personality traits are similarly relevant for satisfaction across different phases in adult life. We discuss the theoretical implications for the foundations that may underlie the link between personality and satisfaction in various life phases. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Do associations between sense of purpose, social support, and loneliness differ across the adult lifespan?

Past research has suggested that the path to purpose involves connections with people along the way. In support, sense of purpose appears higher amongst those adults with more positive social relationships and interactions. However, research has yet to consider whether associations between sense of purpose and social relationship variables differ across adulthood. The present study examined this claim using a sample of Swiss adults, who completed measures for sense of purpose, loneliness, received support, and provided support. A large, nationally representative sample of 2,312 Swiss adults (52.34 years old; SD = 17.35) completed these measures, as part of a larger survey. Local structural equation modeling was employed to estimate the means and associations of these constructs across adulthood. Sense of purpose was negatively associated with loneliness, but positively associated overall with both support variables. No evidence was found for age moderation for the association between sense of purpose and loneliness. However, moderation was evidenced insofar that sense of purpose was less associated with both support variables with age. Sense of purpose again appears related to more positive social well-being and relationships, and consistently linked to lower loneliness. The age moderation effects for purpose-support associations are discussed with respect to theories of adult development. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Validation of the German Five-Factor Narcissism Inventory and Construction of a Brief Form Using Ant Colony Optimization.

Narcissism is a multifaceted construct commonly conceptualized as comprising grandiose and vulnerable aspects in a two-factor model. While the manifold correlates of these aspects imposed a challenge for research on the structure of narcissism, recent models converge in a three-factor structure of agentic-extraverted, antagonistic, and neurotic aspects, capturing variance in different conceptualizations and correlates of narcissism. We construct and validate a German adaptation of the Five-Factor Narcissism Inventory (FFNI), a measure assessing these aspects based on the Five-Factor Model. In eight samples (N = 2,921), we found the German FFNI to align with both, two- and three-factor models. The factors display good criterion validity with other narcissism measures, (non-)clinical personality dimensions, interpersonal styles, and (mal-)adaptive adjustment. Neurotic and antagonistic narcissism discriminated between individuals with/without mental disorder diagnoses, and displayed a characteristic profile in incarcerated offenders. Since the FFNI is comprehensive but long, we constructed a 30-item brief form (FFNI-BF) optimizing the internal structure and external validity using ant colony optimization. The FFNI-BF displayed good psychometric characteristics and similar, in certain aspects even advantageous criterion validity. We conclude that the German FFNI validly measures key aspects of narcissism, and the FFNI-BF captures these in a concise manner.

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).

The HEX-ACO-18: Developing an Age-Invariant HEXACO Short Scale Using Ant Colony Optimization.

In this study, we developed an age-invariant 18-item short form of the HEXACO Personality Inventory for use in developmental personality research. We combined the item selection procedure ant colony optimization (ACO) and the model estimation approach local structural equation modeling (LSEM). ACO is a metaheuristic algorithm that evaluates items based on the quality of the resulting short scale, thus directly optimizing criteria that can only be estimated with combinations of items, such as model fit and measurement invariance. LSEM allows for model estimation and measurement invariance testing across a continuous age variable by weighting participants, rather than splitting the sample into artificial age groups. Using a HEXACO-100 dataset of N = 6,419 participants ranging from 16 to 90 years of age, we selected a short form optimized for model fit, measurement invariance, facet coverage, and balance of item keying. To achieve scalar measurement invariance and brevity, but maintain construct coverage, we selected 18 items to represent three out of four facets from each HEXACO trait domain. The resulting HEX-ACO-18 short scale showed adequate model fit and scalar measurement invariance across age. Furthermore, the usefulness and versatility of the item and person sampling procedures ACO and LSEM is demonstrated.

Responses to interpersonal transgressions from early adulthood to old age.

In this study, we addressed age differences in how people respond to interpersonal transgressions. Specifically, we examined whether the tendencies to respond with revenge, avoidance, and benevolence differ as a function of age in a cross-sectional study with a large sample (N = 1,413; age range: 19-83 years). We used local structural equation modeling (LSEM) to examine nonlinear mean level, structural, and variance-related differences in responses to transgressions across continuous age. We found a small increase in average benevolence and a small decrease in revenge mean levels during early adulthood. In contrast to research on avoidance related to interpersonal stressors, the current results suggest the opposite age pattern with a moderate decrease in avoidance with increasing age. Additionally, the strength of the negative correlation between benevolence and the two other response options decreased with age. This pattern indicates that younger adults generally either respond with a negative or positive reaction, whereas responses were more differentiated in old age. The current findings demonstrate the importance of addressing age differences in responses to interpersonal transgressors from multiple perspectives. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The immediate impact of lockdown measures on mental health and couples' relationships during the COVID-19 pandemic - results of a representative population survey in Germany.

BACKGROUND: Lockdown measures during the COVID-19 pandemic are expected to have negative effects on mental health and relationship quality. However, little is known about the magnitude of these psychological effects on a population level and for vulnerable subgroups. METHODS: A representative sample (N = 2503; 50.2% female; mean age = 49.5) of the German population was assessed face-to-face during the COVID-19 pandemic (February 10-April 25, 2020). They were examined for differences in mental health (BSI-18) and relationship quality (PFB) in a pre-lockdown and lockdown subsamples. After testing and establishing the measurement models in confirmatory factor analyses, we added covariates as predictors of the factors to the regression model to investigate the impact of the lockdown measures. RESULTS: Overall, participants included after the introduction of lockdown measures reported significantly fewer mental health problems than participants included before the lockdown. Predictor analyses revealed that this effect was larger for participants of younger age and those with higher household income. There was no significant difference in relationship quality between pre-lockdown and lockdown. However, relationship quality improved for younger participants after the lockdown measures started, but deteriorated for older participants. CONCLUSIONS: The German population was found to be largely resilient to the immediate effects of lockdown on mental health and relationship quality. Older participants and those with lower socio-economic status might constitute risk groups during times of lockdown. Further studies in countries affected by more drastic lockdown measures and the long-term consequences of the pandemic are needed to inform decision makers about the psychological effects of lockdown.

Developing Cross-Cultural Short Scales Using Ant Colony Optimization.

This article demonstrates how the metaheuristic item selection algorithm ant colony optimization (ACO) can be used to develop short scales for cross-cultural surveys. Traditional item selection approaches typically select items based on expert-guided assessment of item-level information in the full scale, such as factor loadings or item correlations with relevant outcomes. ACO is an optimization procedure that instead selects items based on the properties of the resulting short models, such as model fit and reliability. Using a sample of 5,567 respondents from five countries, we selected a 15-item short form of the Big Five Inventory-2 with the goal of optimizing model fit and measurement invariance in exploratory structural equation modeling, as well as reliability, construct coverage, and criterion-related validity of the scale. We compared the psychometric properties of the new short scale with the Big Five Inventory-2 extra-short form developed with a traditional approach. Whereas both short scales maintained the construct coverage and criterion-related validity of the full scale, the ACO short scale achieved better model fit and measurement invariance across countries than the Big Five Inventory-2 extra-short form. As such, ACO can be a useful tool to identify items for cross-cultural comparisons of personality.

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.

Situational Judgment Tests as a method for measuring personality: Development and validity evidence for a test of Dependability.

Situational Judgment Tests (SJTs) are criterion valid low fidelity measures that have gained much popularity as predictors of job performance. A broad variety of SJTs have been studied, but SJTs measuring personality are still rare. Personality traits such as Conscientiousness are valid predictors of many educational, work and life-related outcomes and SJTs are less prone to faking than classical self-report measurements. We developed an SJT measure of Dependability, a core facet of Conscientiousness, by gathering critical incidents in semi-structured interviews using the construct definition of Dependability as a prompt. We examined the psychometric properties of the newly developed SJTs across two studies (N = 546 general population; N = 440 sales professionals). The internal validity of the SJTs was examined by correlating the SJT scores with related self-report measures of Dependability and Conscientiousness, as well as testing the unidimensionality of the measure with CFA. Additionally, we specified a bi-factor model of SJT, self-report and behavioral checklist measures of Dependability accounting for common and specific measurement variance. External validity was examined by correlating the SJT scale and specific factor with work-related outcomes. The results show that the Dependability SJTs with an expert based scoring procedure were psychometrically sound and correlated moderately to highly with traditional self-report measures of Dependability and Conscientiousness. However, a large proportion of SJT variance cannot be accounted for by personality alone. This supports the notion that SJTs measure general domain knowledge about the effectiveness of personality-related behaviors. We conclude that SJT measures of personality can be a promising addition to classical self-report assessments and can be used in a wide variety of applications beyond measurement and selection, for instance as formative assessments of personality.

Modern health worries: Deriving two measurement invariant short scales for cross-cultural research with Ant Colony Optimization.

Worries about possible harmful effects of new technologies (modern health worries) have intensely been investigated in the last decade. However, the comparability of translated self-report measures across countries is often problematic. This study aimed to overcome this problem by developing psychometrically sound brief versions of the widely used 25-item Modern Health Worries Scale (MHWS) suitable for multi-country use. Based on data of overall 5,176 individuals from four European countries (England, Germany, Hungary, Sweden), Ant Colony Optimization was used to identify the indicators that optimize model fit and measurement invariance across countries. Two scales were developed. A short (12-item) version of the MHWS that represents the four-factor structure of the original version and an ultra-short (4-item) scale that only measures the general construct. Both scales show that overall levels of health worries were highest in England and Hungary, but that the main reason for concern (e.g. electromagnetic radiation or food related fears) differs considerably between these countries. This study also shows that even if measurement invariance of translated self-report instruments across countries is problematic, it can be optimized by using adequate item selection procedures. Differences of modern health worries across countries and recommendations for cross-cultural research are discussed.

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.

Meta-Heuristics in Short Scale Construction: Ant Colony Optimization and Genetic Algorithm.

The advent of large-scale assessment, but also the more frequent use of longitudinal and multivariate approaches to measurement in psychological, educational, and sociological research, caused an increased demand for psychometrically sound short scales. Shortening scales economizes on valuable administration time, but might result in inadequate measures because reducing an item set could: a) change the internal structure of the measure, b) result in poorer reliability and measurement precision, c) deliver measures that cannot effectively discriminate between persons on the intended ability spectrum, and d) reduce test-criterion relations. Different approaches to abbreviate measures fare differently with respect to the above-mentioned problems. Therefore, we compare the quality and efficiency of three item selection strategies to derive short scales from an existing long version: a Stepwise COnfirmatory Factor Analytical approach (SCOFA) that maximizes factor loadings and two metaheuristics, specifically an Ant Colony Optimization (ACO) with a tailored user-defined optimization function and a Genetic Algorithm (GA) with an unspecific cost-reduction function. SCOFA compiled short versions were highly reliable, but had poor validity. In contrast, both metaheuristics outperformed SCOFA and produced efficient and psychometrically sound short versions (unidimensional, reliable, sensitive, and valid). We discuss under which circumstances ACO and GA produce equivalent results and provide recommendations for conditions in which it is advisable to use a metaheuristic with an unspecific out-of-the-box optimization function.

A psychometric analysis of the reading the mind in the eyes test: toward a brief form for research and applied settings.

The Reading the Mind in the Eyes Test is a popular measure of individual differences in Theory of Mind that is often applied in the assessment of particular clinical populations (primarily, individuals on the autism spectrum). However, little is known about the test's psychometric properties, including factor structure, internal consistency, and convergent validity evidence. We present a psychometric analysis of the test followed by an evaluation of other empirically proposed and statistically identified structures. We identified, and cross-validated in a second sample, an adequate short-form solution that is homogeneous with adequate internal consistency, and is moderately related to Cognitive Empathy, Emotion Perception, and strongly related to Vocabulary. We recommend the use of this short-form solution in normal adults as a more precise measure over the original version. Future revisions of the test should seek to reduce the test's reliance on one's vocabulary and evaluate the short-form structure in clinical populations.