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

Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity

Accounting for the complexity of psychological theories requires methods that can predict not only changes in the means of latent variables - such as personality factors, creativity, or intelligence - but also changes in their variances. Structural equation modeling (SEM) is the framework of choice for analyzing complex relationships among latent variables, but the modeling of latent variances as a function of other latent variables is a task that current methods only support to a limited extent. In this article, we develop a Bayesian framework for Gaussian distributional SEM, which broadens the scope of feasible models for latent heteroscedasticity. We use statistical simulation to validate our framework across four distinct model structures, in which we demonstrate that reliable statistical inferences can be achieved and that computation can be performed with sufficient efficiency for practical everyday use. We illustrate our framework's applicability in a real-world case study that addresses a substantive hypothesis from personality psychology.

Differentiation in Cognitive Abilities Beyond g: The Emergence of Domain-Specific Variance in Childhood

Understanding how the structure of cognitive abilities changes depending on age and ability (age and ability differentiation) has critical implications for cognitive-ability assessments and cognitive-developmental theories. Most differentiation research has focused on general intelligence; however, we argue that the investments children make in specific domains and school-taught subjects should rather affect their domain-specific ability structures. Leveraging a representative longitudinal sample of 17,979 U.S. children who were assessed in mathematics, reading, science, working memory, and cognitive flexibility, we found that loadings on a general intelligence factor remained similar, whereas most domain-specific factor loadings increased over time. Hence, age and ability differentiation are conceptually distinct, with the former pertaining to specific abilities and the latter to general intelligence. We find some evidence that domain-specific abilities can compensate for lower general intelligence. Overall, our results encourage a nuanced understanding of children's cognitive development.

Modelling nonlinear moderation effects with local structural equation modelling (LSEM): A non-technical introduction

Understanding the differential strength of effects in the presence of a third variable, known as a moderation effect, is a common research goal in many psychological and behavioural science fields. If structural equation modelling is applied to test effects of interest, the investigation of differential strength of effects will typically ask how parameters of a latent variable model are influenced by categorical or continuous moderators, such as age, socio-economic status, personality traits, etc. Traditional approaches to continuous moderators in SEMs predominantly address linear moderation effects, risking the oversight of nonlinear effects. Moreover, some approaches have methodological limitations, for example, the need to categorise moderators or to pre-specify parametric forms of moderation. This tutorial introduces local structural equation modelling (LSEM) in a non-technical way. LSEM is a nonparametric approach that allows the analysis of nonlinear moderation effects without the above-mentioned limitations. Using an empirical dataset, we demonstrate the implementation of LSEM through the R-sirt package, emphasising its versatility in both exploratory analysis of nonlinear moderation without prior knowledge and confirmatory testing of hypothesised moderation functions. The tutorial also addresses common modelling issues and extends the discussion to different application scenarios, demonstrating its flexibility.

Future time perspective and depression, anxiety, and stress in adulthood

BACKGROUND AND OBJECTIVE

Research has shown that perceptions of future time as limited are associated with more depressive symptoms. However, there is limited research on which dimensions of future time perspective (FTP: opportunity, extension, constraint) are associated with depression, anxiety, and stress, and whether these findings vary across age.

DESIGN AND METHODS

Data came from a cross-sectional study in a nonclinical U.S. sample (N = 793, 48.0% male; 48.7% female; age: M = 50 years, range: 19-85 years), and local structural equation modeling was used to examine the moderating role of age as a continuous variable rather than artificial age groups.

RESULTS

For all dimensions of FTP, the perception of the future as limited was moderately to strongly associated with higher depression, anxiety and stress levels. More importantly, the association between the perceived constraint dimension and depression, anxiety, and stress was twice as large at younger ages than at older ages.

CONCLUSION

These findings indicate that perceived constraint is primarily a strong risk factor for or indicator of negative wellbeing in young adulthood, whereas perceived limited opportunity and extension are potential risk factors or indicators across the entire adulthood.

Self-Esteem and Sexual Experiences

There is evidence that people with higher self-esteem tend to have more satisfying sexual relationships, but little is known about how changes in people's self-esteem and sexual experiences are related over time. Several theories predict reciprocal effects between self-esteem and sexual experiences. The present study tested these theories using 12-wave longitudinal data from more than 11,000 participants of a representative sample in Germany. Data were analyzed using Random Intercept Cross-lagged Panel Models. Results indicated significant between-person associations between stable levels of self-esteem and both the frequency and the quality of sexual experiences. Moreover, we found reciprocal within-person transactions between self-esteem and sexual satisfaction but not sexual frequency. Overall, the present pattern of results provides evidence for theories that consider self-esteem as both a source and consequence of intimate sexual relationships.

Measuring dissociation across adolescence and adulthood: developing the short-form Černis Felt Sense of Anomaly scale (ČEFSA-14)

BACKGROUND

Dissociation may be important across many mental health disorders, but has been variously conceptualised and measured. We introduced a conceptualisation of a common type of dissociative experience, 'felt sense of anomaly' (FSA), and developed a corresponding measure, the Černis Felt Sense of Anomaly (ČEFSA) scale.

AIMS

We aimed to develop a short-form version of the ČEFSA that is valid for adolescent and adult respondents.

METHOD

Data were collected from 1031 adult NHS patients with psychosis and 932 adult and 1233 adolescent non-clinical online survey respondents. Local structural equation modelling (LSEM) was used to establish measurement invariance of items across the age range. Ant colony optimisation (ACO) was used to produce a 14-item short-form measure. Finally, the expected test score function derived from item response theory modelling guided the establishment of interpretive scoring ranges.

RESULTS

LSEM indicated 25 items of the original 35-item ČEFSA were age invariant. They were also invariant across gender and clinical status. ACO of these items produced a 14-item short-form (ČEFSA-14) with excellent psychometric properties (CFI=0.992; TLI=0.987; RMSEA=0.034; SRMR=0.017; Cronbach's alpha=0.92). Score ranges were established based on the expected test scores at approximately 0.7, 1.25 and 2.0 theta (equivalent to standard deviations above the mean). Scores of 29 and above may indicate elevated levels of FSA-dissociation.

CONCLUSIONS

The ČEFSA-14 is a psychometrically valid measure of FSA-dissociation for adolescents and adults. It can be used with clinical and non-clinical respondents. It could be used by clinicians as an initial tool to explore dissociation with their clients.

What Do EURO-D Scores Capture? Disentangling Trait and State Variances in Depression Symptoms Across the Adult Life Span in Nine European Nations

The primary purposes of the present study were to determine (a) whether the EURO-D measures trait (i.e., time-invariant) versus state (i.e., time-variant) aspects of depression and (b) whether these aspects are stable across countries and ages. In five waves of the SHARE survey (a nationally representative Survey of Health, Ageing, and Retirement in Europe), we estimated trait-state-occasion models (TSO), including multiple-nation TSO, based on data from nine European nations over a 10-year period. Also, we used local structural equation modeling to test for the moderating effects of age on the TSO parameters. Our main findings were: (a) there were differences in the trait/state variances of depressive symptoms across nations. The amount of trait variance was above 60% for Belgium, Denmark, and France. It was between 50% and 60% for Austria, Germany, Sweden, and Switzerland, while it was below 50% for Italy and Spain. (b) The effects of trait and state were almost equally the source of variance for depression symptoms across ages, with a slight advantage for the effects of trait (56% of the variance). This trend showed substantial stability across the adult life course (from age 40 up to age 95).

Beyond Big Five trait domains: Stability and change in personality facets across midlife and old age

OBJECTIVE

Accumulated evidence indicates both stable and malleable parts of inter-individual differences in the broad Big Five domains. Less is known, however, about stability and change at the more diversified facet level. With the current study, we fill this gap by investigating personality stability and change across midlife and old age.

METHOD

We apply local structural equation measurement models and second-order growth curve models to four waves of data obtained with the full NEO Personality Inventory (NEO-PI-R) collected over 11 years from 1667 adults (Mage  = 62.69 years, SDage  = 15.62, 55% female) who participated in the Seattle Longitudinal Study.

RESULTS

Measurement invariance analyses indicated that the psychometric properties of the NEO-PI-R facets are comparable across time and age. Results revealed substantial rank-order stabilities across all facets, yet the exact pattern varied strongly between facets of the same trait and across traits. Mean-level change of facets from midlife to old age largely mirrored the mean-level change observed for the broader traits.

CONCLUSION

We discuss conceptual implications and argue that in the face of overall stability across midlife and old age, changes in the rank-ordering of people reveals a much more complex and diverse pattern of development than analyses at the trait level suggest.

Estimating Local Structural Equation Models

Local structural equation models (LSEM) are structural equation models that study model parameters as a function of a moderator. This article reviews and extends LSEM estimation methods and discusses the implementation in the R package sirt. In previous studies, LSEM was fitted as a sequence of models separately evaluated as each value of the moderator variables. In this article, a joint estimation approach is proposed that is a simultaneous estimation method across all moderator values and also allows some model parameters to be invariant with respect to the moderator. Moreover, sufficient details on the main estimation functions in the R package sirt are provided. The practical implementation of LSEM is demonstrated using illustrative datasets and an empirical example. Moreover, two simulation studies investigate the statistical properties of parameter estimation and significance testing in LSEM.

No moderating influence of education on the association between changes in hippocampus volume and memory performance in aging

Contemporary accounts of factors that may modify the risk for age-related neurocognitive disorders highlight education and its contribution to a cognitive reserve. By this view, individuals with higher educational attainment should show weaker associations between changes in brain and cognition than individuals with lower educational attainment. We tested this prediction in longitudinal data on hippocampus volume and episodic memory from 708 middle-aged and older individuals using local structural equation modeling. This technique does not require categorization of years of education and does not constrain the shape of relationships, thereby maximizing the chances of revealing an effect of education on the hippocampus-memory association. The results showed that the data were plausible under the assumption that there was no influence of education on the association between change in episodic memory and change in hippocampus volume. Restricting the sample to individuals with elevated genetic risk for dementia (APOE ε4 carriers) did not change these results. We conclude that the influence of education on changes in episodic memory and hippocampus volume is inconsistent with predictions by the cognitive reserve theory.

The Dimensionality of Reading Self-Concept: Examining Its Stability Using Local Structural Equation Models

For results from large-scale surveys to inform policy and practice appropriately, all participants must interpret and respond to items similarly. While organizers of surveys assessing student outcomes often ensure this for achievement measures, doing so for psychological questionnaires is also critical. We demonstrate this by examining the dimensionality of reading self-concept-a crucial psychological construct for several outcomes-across reading achievement levels. We use Programme for International Student Assessment 2018 data (N = 529,966) and local structural equation models (LSEMs) to do so. Results reveal that reading self-concept dimensions (assessed through reading competence and difficulty) vary across reading achievement levels. Students with low reading achievement show differentiated responses to the two item sets (high competence-high difficulty). In contrast, students with high reading achievement have reconciled responses (high competence-low difficulty). Our results highlight the value of LSEMs in examining factor structure generalizability of constructs in large-scale surveys and call for greater cognitive testing during item development.

Is Flexibility More than Fluency and Originality?

Flexibility (i.e., the number of categorically different ideas), fluency (i.e., the answer quantity), and originality (i.e., the quality of ideas) are essential aspects of the ability to think divergently. Theoretically, fluency and ideational flexibility tasks are akin to one another. However, flexibility was also considered to be uniquely related to working memory capacity due to the task requirements involved in generating diverse answers (e.g., self-monitoring, suppression, and category generation). Given that the role of working memory is strengthened in flexibility tasks relative to fluency and originality tasks, flexibility should be more strongly related with working memory. Additionally, mental speed should show a similar pattern of results because mental speed has been previously related to task complexity. Based on a sample of N = 409 adults (M_age = 24.01 years), we found in latent variable models that fluency/originality strongly predicts flexibility and accounts for 61% of its variance. Creative flexibility was unrelated to working memory and mental speed after controlling for fluency/originality. Additionally, the residual of a latent flexibility factor was unrelated to self-reported creative activities. We concluded that flexibility, as measured here, can be deemed primarily a method factor that did not show value over and above fluency/originality as assessed in traditional fluency and originality tasks. We discussed perspectives for disentangling trait and method variance in flexibility tasks.

Die Dunkle Triade in einer deutschen repräsentativen Stichprobe

Zusammenfassung. Die „Niederträchtigen Neun“ ist eine psychometrisch optimierte deutsche Version des „Dreckigen Dutzends“ zur Erfassung der Dunklen Triade. In dieser Studie betrachten wir diverse psychometrische Eigenschaften der Niederträchtigen Neun mit einer repräsentativen deutschen Stichprobe. Es wurden verschiedene Faktorstrukturen miteinander verglichen sowie Messinvarianzanalysen über das Geschlecht und über das Alter anhand von konfirmatorischen Faktoranalysen und lokal gewichteten Strukturgleichungsmodellen durchgeführt. Außerdem stellen wir Normwerte zur individualdiagnostischen Interpretation von Rohwerten zur Verfügung. Ergebnisse zeigen, dass die Niederträchtigen Neun durch Bifaktor-Modelle mit Machiavellismus als inhaltlicher Anker des allgemeinen Faktors (dem „dunklen Kern“) am besten repräsentiert wird. Über das Geschlecht ergaben sich Einschränkungen der metrischen Invarianz, die hauptsächlich auf Indikatoren von Psychopathie zurückzuführen sind. Partielle metrische Invarianz konnte jedoch belegt werden. Über das Alter konnte metrische Invarianz belegt werden, jedoch ergaben sich Einschränkungen der skalaren und strikten Invarianz. Implikationen für die Erfassung der Dunklen Triade mit der Niederträchtigen Neun oder dem Dreckigen Dutzend werden diskutiert.

Measuring Loneliness in Different Age Groups: The Measurement Invariance of the UCLA Loneliness Scale

Age differences in the prevalence of loneliness have been a key focus among researchers, practitioners, and policy makers. However, the degree to which those reflect genuine differences in the experience of loneliness or the way individuals understand and respond to loneliness measures is yet to be examined. The current study explored the age measurement invariance of the 20-item Revised University of California Los Angeles, Loneliness Scale (UCLA-LSR) and its shorter forms in a U.K. sample of adults aged 18 to 99 years (M = 50.6, SD = 19.7). The fit of different structures/versions was explored through multigroup confirmatory factor analysis (CFA; N = 4,375) and local structural equation modeling (N = 19,521). Results indicated a poor and/or inconsistent structure for the 20-item UCLA-LSR and many of its shorter forms. Of the structures considered, 12 showed acceptable model fit and received age measurement invariance testing through multigroup CFA and alignment; 10 of these achieved full, partial, or approximate measurement invariance. Our findings suggest that the age measurement invariance of loneliness measures should not be assumed, and crucially, this must be explored before accurate and meaningful age comparisons can be made. Implications for measurement research, and clinical and community practice, are discussed.

Individual differences in white matter microstructure of the face processing brain network are more differentiated from global fibers with increasing ability

Face processing—a crucial social ability—is known to be carried out in multiple dedicated brain regions which form a distinguishable network. Previous studies on face processing mainly targeted the functionality of face-selective grey matter regions. Thus, it is still partly unknown how white matter structures within the face network underpins abilities in this domain. Furthermore, how relevant abilities modulate the relationship between face-selective and global fibers remains to be discovered. Here, we aimed to fill these gaps by exploring linear and non-linear associations between microstructural properties of brain fibers (namely fractional anisotropy, mean diffusivity, axial and radial diffusivity) and face processing ability. Using structural equation modeling, we found significant linear associations between specific properties of fibers in the face network and face processing ability in a young adult sample (N = 1025) of the Human Connectome Project. Furthermore, individual differences in the microstructural properties of the face processing brain system tended toward stronger differentiation from global brain fibers with increasing ability. This is especially the case in the low or high ability range. Overall, our study provides novel evidence for ability-dependent specialization of brain structure in the face network, which promotes a comprehensive understanding of face selectivity.

The Negative Religiousness-IQ Nexus is a Jensen Effect on Individual-Level Data: A Refutation of Dutton et al.'s 'The Myth of the Stupid Believer'

A recent study by Dutton et al. (J Relig Health 59:1567-1579. https://doi.org/10.1007/s10943-019-00926-3 , 2020) found that the religiousness-IQ nexus is not on g when comparing different groups with various degrees of religiosity and the non-religious. It suggested, accordingly, that the nexus related to the relationship between specialized analytic abilities on the IQ test and autism traits, with the latter predicting atheism. The study was limited by the fact that it was on group-level data, it used only one measure of religiosity that measure may have been confounded by the social element to church membership and it involved relatively few items via which a Jensen effect could be calculated. Here, we test whether the religiousness-IQ nexus is on g with individual-level data using archival data from the Vietnam Experience Study, in which 4462 US veterans were subjected to detailed psychological tests. We used multiple measures of religiosity-which we factor-analysed to a religion-factor-and a large number of items. We found, contrary to the findings of Dutton et al. (2020), that the IQ differences with regard to whether or not subjects believed in God are indeed a Jensen effect. We also uncovered a number of anomalies, which we explore.

Normierung und testtheoretische Überprüfung der deutschen Adaptation der Kurzform der Self-Control Scale (SCS-K-D)

Zusammenfassung. Gegenstand dieses Artikels ist die deutsche Adaptation der Kurzform der Self-Control Scale (SCS-K-D; übersetzt von Bertrams und Dickhäuser). Es werden 3 Ziele verfolgt: (1) Die Dimensionalität der Skala formal zu prüfen, (2) die Skala auf Messinvarianz bezüglich Geschlecht, Bildung und Alter zu prüfen und (3) basierend auf einer Zufallsstichprobe der erwachsenen deutschen Bevölkerung ( N = 4 038) Normwerte abzuleiten. Die theoretisch erwartete eindimensionale Struktur konnte empirisch nicht bestätigt werden. Wird der Einfluss invertierter Items mit einem Methodenfaktor kontrolliert, verbessert sich die Modellgüte. Für eine angemessene Modellgüte musste die 13-Item Skala jedoch zusätzlich durch Itemausschluss auf eine 8-Item Skala reduziert werden. Diese 8-Item Variante erreichte auch in einer zweiten, unabhängigen Stichprobe ( N = 1 818) eine akzeptable Güte. Die Überprüfung der durch Messinvarianz erfolgte 8-Item Variante mit Methodenfaktor ergab skalare Messinvarianz für Geschlecht, konfigurale Messinvarianz für Bildung und deutliche Messinvarianzprobleme über Altersgruppen hinweg. Normwerte für die erwachsene, deutsche Bevölkerung werden sowohl für die 13-Item und die 8-Item Variante zur Verfügung gestellt und zudem differenziert nach Bildungsniveau und Alter dargeboten.

Measurement Invariance and Construct Validity of the Satisfaction With Life Scale (SWLS) in Community Volunteers in Vietnam

Worldwide, the Satisfaction With Life Scale (SWLS) has become the most widely used measure of life satisfaction. Recently, an authorized Vietnamese-language version has been introduced. Using a convenience sample comprising community volunteers from Ho Chi Minh City (N = 1073), confirmatory support was found for the cross-national constancy of the one-dimensional structure underlying the SWLS. Corrected item–total polyserial correlations and Omega coefficient were satisfactory. Using multi-group confirmatory factor analysis, configural, metric, and scalar invariance of the SWLS factorial structure were tested by gender, age, marital status, income, and educational level. Strong evidence of scalar invariance was found for gender and education, on which relevant subgroups did not differ in terms of latent means. Partial scalar invariance was found for marital status (item 4 and 5) and income (item 4). Being involved in an intimate relationship or having a higher income were associated with higher latent means. Scalar invariance in relation to age was very poor. Accordingly, caution must be exerted when comparing age groups. A high SWLS score was predictive of good self-rated health. Implications of the findings are briefly discussed.

Loneliness During a Nationwide Lockdown and the Moderating Effect of Extroversion

Loneliness levels were assessed in a longitudinal, nationwide sample ( N total = 6,010) collected over the course of the first 3 months of the COVID-19 pandemic in Germany. When in-person social contact restrictions were put in place, loneliness increased significantly compared to prepandemic levels but began to decrease again even before contact restrictions were eased. The loneliness costs were distributed unequally, such that greater increases in loneliness were experienced by women, younger, and extraverted, neurotic, and conscientious individuals. Our findings add to the growing literature on the importance of individual differences in crisis situations.

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.

The Relationship of Age with the Autism-Spectrum Quotient Scale in a Large Sample of Adults

Background: The historical focus on autism as a childhood disorder means that evidence regarding autism in adulthood lags significantly behind research in other age groups. Emerging studies on the relationship of age with autism characteristics do not target older adult samples, which presents a barrier to studying the important variability that exists in life span developmental research. This study aims to further our understanding of the relationship between the Autism-Spectrum Quotient Scale and age in a large adult sample. Methods: The present study examines the relationship of Autism-Spectrum Quotient Scale (AQ) scores with age in 1139 adults, ages 18-97 years. Participants came from three distinct samples-a sample of primarily students, a sample of MTurk participants, and a sample of primarily community dwelling older adults. The majority of the participants did not self-report an autism diagnosis (91%), were female (67%), and identified as White (81%). Participants completed the AQ primarily via online surveys. Researchers scored the AQ following six common scoring practices. Results: Results of preregistered analyses indicate that autism characteristics measured by the AQ are not strongly associated with age (r values from -0.01 to -0.11). Further findings indicate that the measurement of autism characteristics is consistent across age into late life using both multiple groups and local structural equation modeling approaches to measurement invariance (comparative fit indices = 0.82-0.83, root mean square error = 0.06) as well as reliability analysis. Finally, demographic and autism-related variables (sex, race, self-identified autism spectrum disorder diagnosis, and degree of autism characteristics) did not moderate the relationship between age and autism characteristics. Conclusion: These results suggest that self-reports of autism characteristics using the AQ do not vary strongly by age in this large age-representative sample. Findings suggest that the AQ can potentially serve as a useful tool for future research on autism across the life span. Important limitations on what we can learn from these findings point toward critical avenues for future research in this area.

Lay summary

Why was this study done?: Self-report questionnaires of autism characteristics are a potentially important resource for studying autism in adulthood. This study sought to provide additional information about one of the most commonly used self-report questionnaires, the Autism-Spectrum Quotient Scale (AQ), across adulthood.What was the purpose of this study?: This study intended to determine if there is a relationship between scores on the AQ and age. Researchers also worked to identify which of the multiple different ways of scoring the AQ worked best across adulthood.What did the researchers do?: Researchers collected data from over a thousand participants aged 18-97 years. Participants from three different age groups completed online surveys to self-report their levels of autism characteristics on the AQ. Researchers tested the relationship between AQ scores and age with six different commonly used ways to calculate AQ scores. Researchers used multiple statistical techniques to evaluate various measurement properties of the AQ.What were the results of the study?: The results indicate that autism characteristics measured by the AQ are not strongly associated with age. Along with that, there is evidence that certain approaches to measuring of autism characteristics are consistent across age into late life and do not vary with demographic and autism-related factors.What do these findings add to what was already known?: These results add to the growing evidence that self-reports of autism characteristics using the AQ in general samples are not strongly associated with age across adulthood. These findings also provide guidance about ways of scoring the AQ that work well through late life.What are potential weaknesses in the study?: While the AQ has a degree of relationship with autism diagnoses, this is far from perfect and has not been evaluated in the context of aging research. Therefore, findings from the present research must be carefully interpreted to be about autism characteristics not diagnoses. The sample was also limited in a number of other ways. As in any studies including a broad age range of individuals, the oldest participants are likely quite healthy, engaged individuals. This may particularly be the case given the higher mortality rates and health challenges seen with autism. Similarly, as with any self-report research, this research is limited to those individuals who could answer questions about their autism characteristics. The sample was also predominantly White and nonautistic. Finally, the research was limited to one point in time and so cannot tell us about how autism characteristics may change across adulthood.How will these findings help autistic adults now or in the future?: These findings support the potential for the AQ to be a useful tool for future research on autism in adulthood. For example, researchers can use measures such as the AQ to study how autism characteristics change over time or are associated with aging-related issues such as changes in physical health and memory. Such research may be able to provide a better understanding of how to support autistic individuals across adulthood.

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.

Correlated personality change across time and age

The goal of this study was to examine differential and correlated change in personality across the adult lifespan. Studying differential and correlated change can help understand whether intraindividual trait change trajectories deviate from the norm and how these trajectories are coupled with each other. We used data from two large longitudinal panel studies from the United States that covered a total age range of 20 to 95 years on the first measurement occasion. We used correlated factor models and bivariate latent change score models to examine the rank-order stability and correlations between change across three measurement waves covering 18 years ( N = 3250) and four measurement waves covering 12 years ( N = 4145). We examined the moderation effects of continuous age on these model parameters using local structural equation modeling. The results suggest that the test–retest correlations decrease with increasing time between measurements but are unaffected by participants’ age. We found that change processes in Extraversion, Openness, Agreeableness, and Conscientiousness were strongly related, particularly in late adulthood. Correlated change patterns were highly stable across time intervals and similar to the initial cross-sectional Big Five correlations. We discuss potential mechanisms and implications for personality development research.

Exploratory Factor Analyses of the French WISC-V (WISC-VFR) for Five Age Groups: Analyses Based on the Standardization Sample

This study investigated the factor structure of the French Wechsler Intelligence Scale for Children–Fifth Edition with five standardization sample age groups (6-7, 8-9, 10-11, 12-13, 14-16 years) using hierarchical exploratory factor analysis followed by Schmid–Leiman procedure. The primary research questions included (a) how many French Wechsler Intelligence Scale for Children–Fifth Edition factors should be extracted and retained in each age subgroup, (b) how are subtests associated with the latent factors, (c) was there evidence for the publisher’s claim of five first-order factors and separate Visual Spatial and Fluid Reasoning factors, (d) what proportion of variance was due to general intelligence versus the first-order group ability factors following a Schmid–Leiman procedure, and (e) do results support the age differentiation hypothesis? Results suggested that four factors might be sufficient for all five age groups and results did not support the distinction between Visual Spatial and Fluid Reasoning factors. While the general factor accounted for the largest portions of variance, the four first-order factors accounted for small unique portions of variance. Results did not support the age differentiation hypothesis because the number of factors remained the same across age groups, and there was no change in the percentage of variance accounted for by the general factor across age groups.

Score-Guided Structural Equation Model Trees

Structural equation model (SEM) trees are data-driven tools for finding variables that predict group differences in SEM parameters. SEM trees build upon the decision tree paradigm by growing tree structures that divide a data set recursively into homogeneous subsets. In past research, SEM trees have been estimated predominantly with the R package semtree. The original algorithm in the semtree package selects split variables among covariates by calculating a likelihood ratio for each possible split of each covariate. Obtaining these likelihood ratios is computationally demanding. As a remedy, we propose to guide the construction of SEM trees by a family of score-based tests that have recently been popularized in psychometrics (Merkle and Zeileis, 2013; Merkle et al., 2014). These score-based tests monitor fluctuations in case-wise derivatives of the likelihood function to detect parameter differences between groups. Compared to the likelihood-ratio approach, score-based tests are computationally efficient because they do not require refitting the model for every possible split. In this paper, we introduce score-guided SEM trees, implement them in semtree, and evaluate their performance by means of a Monte Carlo simulation.

Age and gender differences in socially aversive (“dark”) personality traits

The strong overlap of personality traits discussed under the label of “dark personality” (e.g., psychopathy, spitefulness, moral disengagement) endorses a common framework for socially aversive traits over and beyond the dark triad. Despite the rapidly growing research on socially aversive traits, there is a lack of studies addressing age-associated differences in these traits. In the present study ( N = 12,501), we investigated the structure of the D Factor of Personality across age and gender using local structural equation modeling, thereby expressing the model parameters as a quasi-continuous, nonparametric function of age. Specifically, we evaluated loadings, reliabilities, factor (co-)variances, and means across 35 locally weighted age groups (from 20 to 54 years), separately for females and males. Results indicated that measurement models were highly stable, thereby supporting the conceptualization of the D factor independent of age and gender. Men exhibited uniformly higher latent means than females and all latent means decreased with increasing age. Overall, D and its themes were invariant across age and gender. Therefore, future studies can meaningfully pursue causes of mean differences across age and between genders.

Adolescent Big Five personality and pubertal development: Pubertal hormone concentrations and self-reported pubertal status

In early adolescence, levels of conscientiousness and agreeableness have been found to temporarily decrease, with levels of neuroticism increasing, indicating a dip in personality maturation. It is unknown whether these changes are related to the process of puberty, a major developmental milestone with numerous changes for children. Here, we first replicated the dip in personality maturity in early adolescence (N = 2640, age range 8-18, 51% girls, 65% non-Hispanic white, 21% Hispanic/Latino, 10% African American, 9% other, roughly 33% of families received means-tested public assistance) and tested associations between the Big Five personality dimensions and pubertal development and timing across late childhood and adolescence (n = 1793). Pubertal development was measured using both hormonal assays (DHEA, testosterone, and progesterone) and self-reports of secondary sex characteristics. Of hormonal measures, only higher DHEA concentrations were associated with lower conscientiousness and openness. Nonparametric moderation analyses using LOSEM indicated Complex Age × Sex interactions involving all three hormones. Self-reported pubertal development was associated with lower extraversion, conscientiousness, agreeableness, and openness. More advanced pubertal timing was also related to lower levels of extraversion, conscientiousness, and agreeableness. All associations were small. As some evidence was found for small associations between pubertal development and lower levels of conscientiousness and agreeableness, a dip in personality maturation in these personality traits may be partly due to pubertal development in early adolescence. Overall, results did not indicate that pubertal development was the primary explanation of the maturity dip in adolescent personality. Many small influences likely accumulate to explain the dip in personality maturity in early adolescence. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Self–other agreement in personality development in romantic couples

A large body of evidence indicates that personality traits show high rank-order stability and substantial mean-level changes across the lifespan. However, the majority of longitudinal research on personality development has relied on repeated assessments of self-reports, providing a narrow empirical base from which to draw conclusions and develop theory. Here, we (1) tested whether self- and informant-reports provided by couples show similar patterns of rank-order stability and mean-level change and (2) assessed self–other agreement in personality development. We charted the Big Five personality trajectories of 255 couples ( N = 510; M age = 27.01 years) who provided both self- and partner-reports at four assessments across 1.5 years. Results indicated similar rank-order stabilities in self- and partner-report data. Latent growth curve models indicated no significant differences between self- and partner-reported personality trajectories, with exceptions to extraversion and agreeableness. We further found strong cross-sectional agreement across all Big Five traits and assessment waves as well as moderate self–other agreement in personality change in emotional stability and agreeableness. These findings highlight the relevance of multi-method assessments in personality development, while providing information about personality stability and change. Discussion focuses on the theoretical implications and future directions for multi-method assessments in longitudinal personality research.

A Reappraisal of the Threshold Hypothesis of Creativity and Intelligence

Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer inspection of previous inconclusive results suggests that the heterogeneity is mostly due to the use of suboptimal data analytical procedures. Herein, we applied and compared three methods that allowed us to handle intelligence as a continuous variable. In more detail, we examined the threshold of the creativity-intelligence relation with (a) scatterplots and heteroscedasticity analysis, (b) segmented regression analysis, and (c) local structural equation models in two multivariate studies (N1 = 456; N2 = 438). We found no evidence for the threshold hypothesis of creativity across different analytical procedures in both studies. Given the problematic history of the threshold hypothesis and its unequivocal rejection with appropriate multivariate methods, we recommend the total abandonment of the threshold.

Personality Across the Lifespan

Abstract. Personality is a relevant predictor for important life outcomes across the entire lifespan. Although previous studies have suggested the comparability of the measurement of the Big Five personality traits across adulthood, the generalizability to childhood is largely unknown. The present study investigated the structure of the Big Five personality traits assessed with the Big Five Inventory-SOEP Version (BFI-S; SOEP = Socio-Economic Panel) across a broad age range spanning 11–84 years. We used two samples of N = 1,090 children (52% female, Mage = 11.87) and N = 18,789 adults (53% female, Mage = 51.09), estimating a multigroup CFA analysis across four age groups (late childhood: 11–14 years; early adulthood: 17–30 years; middle adulthood: 31–60 years; late adulthood: 61–84 years). Our results indicated the comparability of the personality trait metric in terms of general factor structure, loading patterns, and the majority of intercepts across all age groups. Therefore, the findings suggest both a reliable assessment of the Big Five personality traits with the BFI-S even in late childhood and a vastly comparable metric across age groups.

Developmental transformations in the structure of executive functions

Comparisons of results from studies of executive function (EF) in early childhood to those of EF in middle and late childhood suggest that individual differences in EFs may differentiate from a unitary factor in early childhood to an increasingly multidimensional structure in middle childhood and adolescence. We tested whether associations among EFs strengthened from middle childhood to adolescence using cross-sectional data from a population-based sample of 1019 children aged 7-15 years (M = 10.79 years). Participants completed a comprehensive EF battery consisting of 15 measures tapping working memory, updating, switching, and inhibition domains. Moderated factor analysis, local structural equation modeling, and network modeling were applied to assess age-related differences in the factor structure of EF. Results from all three approaches indicated that working memory and updating maintained uniformly high patterns of covariation across the age range, whereas inhibition became increasingly differentiated from the other three domains beginning around 10 years of age. However, consistent with past research, inhibition tasks were only weakly intercorrelated. Age-related differences in the organization of switching abilities were mixed.

Global Ancestry and Cognitive Ability

Using data from the Philadelphia Neurodevelopmental Cohort, we examined whether European ancestry predicted cognitive ability over and above both parental socioeconomic status (SES) and measures of eye, hair, and skin color. First, using multi-group confirmatory factor analysis, we verified that strict factorial invariance held between self-identified African and European-Americans. The differences between these groups, which were equivalent to 14.72 IQ points, were primarily (75.59%) due to difference in general cognitive ability (g), consistent with Spearman’s hypothesis. We found a relationship between European admixture and g. This relationship existed in samples of (a) self-identified monoracial African-Americans (B = 0.78, n = 2,179), (b) monoracial African and biracial African-European-Americans, with controls added for self-identified biracial status (B = 0.85, n = 2407), and (c) combined European, African-European, and African-American participants, with controls for self-identified race/ethnicity (B = 0.75, N = 7,273). Controlling for parental SES modestly attenuated these relationships whereas controlling for measures of skin, hair, and eye color did not. Next, we validated four sets of polygenic scores for educational attainment (eduPGS). MTAG, the multi-trait analysis of genome-wide association study (GWAS) eduPGS (based on 8442 overlapping variants) predicted g in both the monoracial African-American (r = 0.111, n = 2179, p < 0.001), and the European-American (r = 0.227, n = 4914, p < 0.001) subsamples. We also found large race differences for the means of eduPGS (d = 1.89). Using the ancestry-adjusted association between MTAG eduPGS and g from the monoracial African-American sample as an estimate of the transracially unbiased validity of eduPGS (B = 0.124), the results suggest that as much as 20%–25% of the race difference in g can be naïvely explained by known cognitive ability-related variants. Moreover, path analysis showed that the eduPGS substantially mediated associations between cognitive ability and European ancestry in the African-American sample. Subtest differences, together with the effects of both ancestry and eduPGS, had near-identity with subtest g-loadings. This finding confirmed a Jensen effect acting on ancestry-related differences. Finally, we confirmed measurement invariance along the full range of European ancestry in the combined sample using local structural equation modeling. Results converge on genetics as a potential partial explanation for group mean differences in intelligence.

Testing Cold and Hot Cognitive Control as Moderators of a Network of Comorbid Psychopathology Symptoms in Adolescence

Comorbidity is pervasive across psychopathological symptoms, diagnoses, and domains. Network analysis is a method for investigating symptom-level associations that underlie comorbidity, particularly through bridge symptoms connecting diagnostic syndromes. We applied network analyses of comorbidity to data from a population-based sample of adolescents (n = 849). We implemented a method for assessing nonparametric moderation of psychopathology networks to evaluate differences in network structure across levels of intelligence and emotional control. Symptoms generally clustered by clinical diagnoses, but specific between-cluster bridge connections emerged. Internalizing symptoms demonstrated unique connections with aggression symptoms of interpersonal irritability, whereas externalizing symptoms showed more diffuse interconnections. Aggression symptoms identified as bridge nodes in the cross-sectional network were enriched for longitudinal associations with internalizing symptoms. Cross-domain connections did not significantly vary across intelligence but were weaker at lower emotional control. Our findings highlight transdiagnostic symptom relationships that may underlie co-occurrence of clinical diagnoses or higher-order factors of psychopathology.

Genetic and Environmental Influences on Achievement Goal Orientations Shift with Age

Students engage in learning activities with different achievement goal orientations. Some students pursue learning for learning sake (i.e. mastery goal orientation), some are driven by gaining favorable judgement of their performance (i.e. performance approach goal orientation), and others focus on avoiding negative judgement (i.e. performance avoidance goal orientation). These goal orientations are linked with academic achievement, and troublingly, students report decreasing levels of goal orientations across the school years. However, little is known concerning the mechanisms that drive this decline. In a large (N = 891 twin pairs) cross-sectional genetically informative sample (age = 8 to 22 years), we found that older students reported lower goal orientations. Then, we identified shifts in the magnitude of genetic and environmental variance in each goal orientation. For example, variance in mastery goal orientation was primarily associated with environmental factors during the elementary school years. As students entered high school, genetic influences increased, replacing shared environmental influences. Finally, we situated these findings in the larger nomological network by testing associations with psychological constructs (e.g. personality and cognitive ability) and contextual variables (e.g. parents, schools, and peers). The development of academic motivation is complex with many interconnecting factors that appear to shift with age.

Nonlinear Indicator-Level Moderation in Latent Variable Models

Linear, nonlinear, and nonparametric moderated latent variable models have been developed to investigate possible interaction effects between a latent variable and an external continuous moderator on the observed indicators in the latent variable model. Most moderation models have focused on moderators that vary across persons but not across the indicators (e.g., moderators like age and socioeconomic status). However, in many applications, the values of the moderator may vary both across persons and across indicators (e.g., moderators like response times and confidence ratings). Indicator-level moderation models are available for categorical moderators and linear interaction effects. However, these approaches require respectively categorization of the continuous moderator and the assumption of linearity of the interaction effect. In this article, parametric nonlinear and nonparametric indicator-level moderation methods are developed. In a simulation study, we demonstrate the viability of these methods. In addition, the methods are applied to a real data set pertaining to arithmetic ability.

Modeling Nonlinear Conditional Dependence Between Response Time and Accuracy

The most common process variable available for analysis due to tests presented in a computerized form is response time. Psychometric models have been developed for joint modeling of response accuracy and response time in which response time is an additional source of information about ability and about the underlying response processes. While traditional models assume conditional independence between response time and accuracy given ability and speed latent variables (van der Linden, 2007), recently multiple studies (De Boeck and Partchev, 2012; Meng et al., 2015; Bolsinova et al., 2017a,b) have shown that violations of conditional independence are not rare and that there is more to learn from the conditional dependence between response time and accuracy. When it comes to conditional dependence between time and accuracy, authors typically focus on positive conditional dependence (i.e., relatively slow responses are more often correct) and negative conditional dependence (i.e., relatively fast responses are more often correct), which implies monotone conditional dependence. Moreover, most existing models specify the relationship to be linear. However, this assumption of monotone and linear conditional dependence does not necessarily hold in practice, and assuming linearity might distort the conclusions about the relationship between time and accuracy. In this paper we develop methods for exploring nonlinear conditional dependence between response time and accuracy. Three different approaches are proposed: (1) A joint model for quadratic conditional dependence is developed as an extension of the response moderation models for time and accuracy (Bolsinova et al., 2017b); (2) A joint model for multiple-category conditional dependence is developed as an extension of the fast-slow model of Partchev and De Boeck (2012); (3) An indicator-level nonparametric moderation method (Bolsinova and Molenaar, in press) is used with residual log-response time as a predictor for the item intercept and item slope. Furthermore, we propose using nonparametric moderation to evaluate the viability of the assumption of linearity of conditional dependence by performing posterior predictive checks for the linear conditional dependence model. The developed methods are illustrated using data from an educational test in which, for the majority of the items, conditional dependence is shown to be nonlinear.

Observing the World Through Your Own Lenses - The Role of Perceived Adaptability for Epistemological Beliefs About the Development of Scientific Knowledge

Students are exposed to vast amounts of information and knowledge that is rapidly changing. This exposure requires them to be adaptive, that is, to constantly adjust their thinking, behavior, and even their affect to successfully solve information-rich and knowledge-lean problems. Considering these developments, the purpose of the present study is twofold: First, it is aimed at exploring the link between students’ beliefs about their adaptability in an ever-changing world and their beliefs about the changing nature of scientific knowledge, thus linking two educationally relevant belief systems. Second, this study further explores validity issues related to the well-established and commonly used “Epistemological Beliefs about the Development of Scientific Knowledge (EBDE)” scale. Performing structural equation modeling on a large-scale data set of 1,662 Norwegian tenth-grade students, we estimated the correlations among different aspects of adaptability (i.e., cognitive-behavioral and affective-emotional adaptability) and EBDE. Moving beyond these correlations, we tested whether students’ perceived adaptability had an impact on the functioning of EBDE items by means of moderated factor analysis. Our analyses revealed that adaptability was associated with sophisticated EBDE in science, and the EB scale functioned differently with respect to different adaptability scores. The results of this study indicate that students perceive the development of scientific knowledge through the lenses of their own adaptability. Furthermore, the differential functioning of the EBDE scale challenges its validity.

Configural face perception in childhood and adolescence: An individual differences approach

Cognitive experimental and neuroscientific research in adults indicates that an important property of face perception is its specificity and reliance on configural processing. In addition, individual differences in face perception between adults cannot be entirely explained through general cognitive functioning and object cognition. Although recent years have witnessed growing interest in the development of face perception through childhood and adolescence, as yet, little is known about individual differences in configural face perception in this period of life, and whether these differences are face-specific. Here, we addressed these questions in a large sample (N = 338) drawn continuously from age six to 21. We applied a face composite task and a spatial manipulation task including stimulus inversion. Immediate and delayed face memory were assessed as covariates of configural face perception. Content specificity in configural face perception was tested by analogous tasks with houses as stimuli. In addition, we measured working memory and fluid intelligence. Our results show that there are large individual differences in configural face perception across the entire age range from six to 21 years. Supporting theories of early maturation, configural face perception was almost adult-like already at age six. Individual differences in configural face perception were related with immediate and delayed face memory and fluid intelligence across the whole age range. In sum, we provide novel evidence on large individual differences in configural face and object perception already in middle childhood, complementing findings from aging studies and providing new perspectives for further research.

Perceived age discrimination across age in Europe: From an ageing society to a society for all ages

Ageism is recognized as a significant obstacle to older people's well-being, but age discrimination against younger people has attracted less attention. We investigate levels of perceived age discrimination across early to late adulthood, using data from the European Social Survey (ESS), collected in 29 countries (N = 56,272). We test for approximate measurement invariance across countries. We use local structural equation modeling as well as moderated nonlinear factor analysis to test for measurement invariance across age as a continuous variable. Using models that account for the moderate degree of noninvariance, we find that younger people report experiencing the highest levels of age discrimination. We also find that national context substantially affects levels of ageism experienced among older respondents. The evidence highlights that more research is needed to address ageism in youth and across the life span, not just old adulthood. It also highlights the need to consider factors that differently contribute to forms of ageism experienced by people at different life stages and ages. (PsycINFO Database Record

No Robust Association between Static Markers of Testosterone and Facets of Socio-Economic Decision Making

Digit ratio (2D:4D) and facial width-to-height ratio (WHR) are supposedly static indicators of testosterone exposition during prenatal and pubertal lifetime, respectively. Both measures have been linked to aggressive and assertive behavior in laboratory economic games, as well as in real world scenarios. Most of the research-often limited to male subjects-considers the associations between these behaviors, traits, and hormonal markers separately for 2D:4D and WHR. Reported associations are weak and volatile. In the present study we had independent raters assess 2D:4D and WHR in a sample of N = 175 participants who played the ultimatum game (UG). Respondent behavior in UG captures the tendency to reject unfair offers (negative reciprocity). If unfair UG offers are seen as provocations, then individuals with stronger testosterone exposition may be more prone to reject such offers. Economists argue that negative reciprocity reflects altruistic punishment, since the rejecting individual is sacrificing own resources. However, recent studies suggest that self-interest, in terms of status defense plays a substantial role in decisions to reject unfair offers. We also assessed social preferences by social value orientation and assertiveness via self-report. By applying structural equation modeling we estimated the latent level association of 2D:4D and WHR with negative reciprocity, assertiveness and prosociality in both sexes. Results revealed no robust association between any of the trait measures and hormonal markers. The measures of 2D:4D and WHR were not related with each other. Multigroup models based on sex suggested invariance of factor loadings allowing to compare hormone-behavior relationships of females and males. Only when collapsing across sex greater WHR was weakly associated with assertiveness, suggesting that individuals with wider faces tend to express greater status defense. Only the right hand 2D:4D was weakly associated with prosocial behavior, indicating that individuals with lower prenatal testosterone exposure are more cooperative. Rejection behavior in UG was not related with 2D:4D nor WHR in any of the models. There were also no curvilinear associations between 2D:4D and prosociality as theorized in the literature. Our results suggest that previous studies over-estimated the role of static markers of testosterone in accounting for aggression and competition behavior in males.