Modeling Heterogeneity in Temporal Dynamics: Extending Latent State-Trait Autoregressive and Cross-lagged Panel Models to Mixture Distribution Models.

Longitudinal models suited for the analysis of panel data, such as cross-lagged panel or autoregressive latent-state trait models, assume population homogeneity with respect to the temporal dynamics of the variables under investigation. This assumption is likely to be too restrictive in a myriad of research areas. We propose an extension of autoregressive and cross-lagged latent state-trait models to mixture distribution models. The models allow researchers to model unobserved person heterogeneity and qualitative differences in longitudinal dynamics based on comparatively few observations per person, while taking into account temporal dependencies between observations as well as measurement error in the variables. The models are extended to include categorical covariates, to investigate the distribution of encountered latent classes across observed groups. The potential of the models is illustrated with an application to self-esteem and affect data in patients with borderline personality disorder, an anxiety disorder, and healthy control participants. Requirements for the models' applicability are investigated in an extensive simulation study and recommendations for model applications are derived.

Psychometric benefits of self-chosen rating scales over given rating scales.

Rating scales are susceptible to response styles that undermine the scale quality. Optimizing a rating scale can tailor it to individuals' cognitive abilities, thereby preventing the occurrence of response styles related to a suboptimal response format. However, the discrimination ability of individuals in a sample may vary, suggesting that different rating scales may be appropriate for different individuals. This study aims to examine (1) whether response styles can be avoided when individuals are allowed to choose a rating scale and (2) whether the psychometric properties of self-chosen rating scales improve compared to given rating scales. To address these objectives, data from the flourishing scale were used as an illustrative example. MTurk workers from Amazon's Mechanical Turk platform (N = 7042) completed an eight-item flourishing scale twice: (1) using a randomly assigned four-, six-, or 11-point rating scale, and (2) using a self-chosen rating scale. Applying the restrictive mixed generalized partial credit model (rmGPCM) allowed examination of category use across the conditions. Correlations with external variables were calculated to assess the effects of the rating scales on criterion validity. The results revealed consistent use of self-chosen rating scales, with approximately equal proportions of the three response styles. Ordinary response behavior was observed in 55-58% of individuals, which was an increase of 12-15% compared to assigned rating scales. The self-chosen rating scales also exhibited superior psychometric properties. The implications of these findings are discussed.

Dynamic relationships between depressive symptoms and insulin resistance over 20 years of adulthood.

BACKGROUND: Bidirectional longitudinal relationships between depression and diabetes have been observed, but the dominant direction of their temporal relationships remains controversial. METHODS: The random-intercept cross-lagged panel model decomposes observed variables into a latent intercept representing the traits, and occasion-specific latent 'state' variables. This permits correlations to be assessed between the traits, while longitudinal 'cross-lagged' associations and cross-sectional correlations can be assessed between occasion-specific latent variables. We examined dynamic relationships between depressive symptoms and insulin resistance across five visits over 20 years of adulthood in the population-based Coronary Artery Risk Development in Young Adults (CARDIA) study. Possible differences based on population group (Black v. White participants), sex and years of education were tested. Depressive symptoms and insulin resistance were quantified using the Center for Epidemiologic Studies Depression (CES-D) scale and the homeostatic model assessment for insulin resistance (HOMA-IR), respectively. RESULTS: Among 4044 participants (baseline mean age 34.9 ± 3.7 years, 53% women, 51% Black participants), HOMA-IR and CES-D traits were weakly correlated (r = 0.081, p = 0.002). Some occasion-specific correlations, but no cross-lagged associations were observed overall. Longitudinal dynamics of these relationships differed by population groups such that HOMA-IR at age 50 was associated with CES-D score at age 55 (ß = 0.076, p = 0.038) in White participants only. Longitudinal dynamics were consistent between sexes and based on education. CONCLUSIONS: The relationship between depressive symptoms and insulin resistance was best characterized by weak correlations between occasion-specific states and enduring traits, with weak evidence that insulin resistance might be temporally associated with subsequent depressive symptoms among White participants later in adulthood.

Does #Tamojunto alter the dynamic between drug use and school violence among youth? Secondary analysis from a large cluster-randomized trial.

The present study investigated how intervention might alter the relationship between perpetrating violence and later drug use. A cluster-randomized controlled trial design involving 72 schools (38 intervention, 34 control) and 6390 students attending grades 7 and 8 was employed in Brazil. Drug use and violence were assessed at three points. A random-intercept cross-lagged panel model examined the reciprocal association between drug use and school violence domains across the three data collection waves. For both groups, we found that the cross-lagged effect of perpetration on further drug use in adolescents was stronger than the reverse, but the interrelationship was not statistically significant between #Tamojunto and control schools. The carry-over effects of drug use and violence were also not significantly different between groups. There is a lack of evidence showing that #Tamojunto can modify the dynamics between drug use and school violence across the 21-month period. The direction of the causal effect (i.e., the more perpetration behavior, the more subsequent drug use behavior) is present, but weak in both groups. The trial registration protocol at the national Brazilian Register of Clinical Trials (REBEC) is #RBR-4mnv5g.

Investigating the Measurement Invariance and Method-Trait Effects of Parent and Teacher SNAP-IV Ratings of Preschool Children.

The Swanson, Nolan, and Pelham scale version IV (SNAP-IV) is widely used to assess symptoms of attention deficit hyperactivity disorder (ADHD) and oppositional defiant disorder (ODD) in children and adolescents. Nevertheless, there is insufficient data to support its use in preschool children. The study had three goals: First, to test the factorial validity of the three correlated-factors model of ADHD and ODD items of the SNAP-IV. Second, to investigate the measurement invariance of the items over time (6-month longitudinal interval) and by sex. Third, to investigate the convergent validity and method-specific influences on ADHD/ODD assessments with respect to multiple raters (parents/teachers) of children's symptoms. Participants were 618 preschool children (3.5-6 years) at baseline and 6-month follow-up. For model testing, we used confirmatory factor analysis for categorical observed variables. Method and trait effects were examined using the CT-C(M-1) model. The analyses showed partial measurement invariance over time and according to sex. Moreover, strong rater-specific effects were detected. The implication of the results for construct validation of the instrument and clinical assessment of ADHD and ODD traits are discussed.

Humor Styles, Perceived Threat, Funniness of COVID-19 Memes, and Affective Mood in the Early Stages of COVID-19 Lockdown.

Existing psychological research has long considered humor as a useful strategy for individuals in coping with adverse circumstances and life stressors. However, empirical studies are called for to better understand the role of humor in facing the COVID-19 pandemic. In a community sample of 527 Spanish adults, we investigated the associations between humor styles, perceived threat from COVID-19, funniness of COVID-19 memes, and individuals' affective mood. Data were collected during the third week of lockdown in Spain (from 26 to 31 March 2020). Our results suggest that intrapsychic humor styles were associated with better coping with the COVID-19 pandemic. Structural equation modelling showed that self-enhancing and aggressive humor styles were related to perceiving COVID-19 as less psychologically threatening, which, in turn, was associated with a greater perceived funniness of COVID-19 memes, thus predicting higher levels of happiness. Interestingly, the opposite pattern of connections was found for self-defeating humor. These findings suggest that humor styles aimed at boosting one's own self, irrespective of their potentially lighter or darker nature, may contribute to alleviating adverse psychological consequences arising from the COVID-19 pandemic.

Hidden framings and hidden asymmetries in the measurement of personality--A combined lens-model and frame-of-reference perspective.

OBJECTIVE: The symmetry principle and the frame-of-reference perspective have each made contributions to improving the measurement of personality. Although each perspective is valuable in its own right, we argue that even greater improvement can be achieved through the combination of both. Therefore, the goal of the current article was to show the value of a combined lens-model and frame-of-reference perspective. METHOD: We conducted a literature review to summarize relevant research findings that shed light on the interplay of both perspectives and developed an integrative model. RESULTS: Based on the literature review and on theoretical grounds, we argue that a basic premise of the frame-of-reference literature--that personality items are open to interpretation and allow individuals to impose their own contextual framings--should be considered from a symmetry perspective. Unintended context-specificity in items may "spread" to personality facets and domains, and thus, impact the symmetry of personality measures with other criteria. As the individuals´ frames-of-reference and (a)symmetric relationships are not always apparent, we term them as "hidden." CONCLUSIONS: The proposed combination of lens-model and frame-of-reference perspectives provides further insights into current issues in personality research and uncovers important avenues for future research.

Psychosocial and Cognitive Performance Correlates of Subjective Cognitive Complaints in Help-Seeking Versus Non-Help-Seeking Community-Dwelling Adults.

The clinical use of subjective cognitive complaints (SCCs) has been questioned, especially when considering the influence of depression. Further problems describe the registration of SCCs with a focus on memory and different sample selections, with only few studies that directly compare those who seek help because of SCCs and community-dwelling adults. The present study aimed to (1) evaluate differences in psychosocial variables in help-seeking adults and community-dwelling adults with a lower level of complaints and (2) to further explore the relationship between SCCs and cognitive performance in help-seekers. Fifty-five help-seeking adults (HS) were compared to 55 age-, sex-, and education-matched non-help-seeking adults (NHS). Multiple regression analyses revealed that depressive symptoms were linked to experiencing more SCCs mainly in NHS. Altogether, less variance was explained by psychosocial variables in HS, whereas adding cognitive variables-especially divided attention performance-led to a substantial increase in explained variance. Mediation analysis further revealed a possible mediation of depressive symptoms on SCC by divided attention performance. Taken together, our results underpin the importance of assessing SCCs comprehensively to detect a functional relationship between cognitive performance and complaints, especially in HS. In this group, it is likely that depression precedes problems in divided attention, which in turn lead to SCC. Therefore, future studies should further investigate the link between SCC and cognitive functions which rely on more cognitive resources, as these might be first to be affected by cognitive decline.

Manifesto for new directions in developmental science.

Although developmental science has always been evolving, these times of fast-paced and profound social and scientific changes easily lead to disorienting fragmentation rather than coherent scientific advances. What directions should developmental science pursue to meaningfully address real-world problems that impact human development throughout the lifespan? What conceptual or policy shifts are needed to steer the field in these directions? The present manifesto is proposed by a group of scholars from various disciplines and perspectives within developmental science to spark conversations and action plans in response to these questions. After highlighting four critical content domains that merit concentrated and often urgent research efforts, two issues regarding "how" we do developmental science and "what for" are outlined. This manifesto concludes with five proposals, calling for integrative, inclusive, transdisciplinary, transparent, and actionable developmental science. Specific recommendations, prospects, pitfalls, and challenges to reach this goal are discussed.

The assessment of emotional clarity via response times to emotion items: shedding light on the response process and its relation to emotion regulation strategies.

Researchers have begun to use response times (RTs) to emotion items as an indirect measure of emotional clarity. Our first aim was to scrutinise the properties of this RT measure in more detail than previously. To be able to provide recommendations as to whether (and how) emotional intensity - as a possible confound - should be controlled for, we investigated the specific form of the relation between emotional intensity and RTs to emotion items. In particular, we assumed an inverted U-shaped relation at the item level. Moreover, we analysed the RT measure's convergent validity with respect to individuals' confidence in their emotion ratings. As a second aim, we compared the predictive validity of emotional clarity measures (RT measure, self-report) with respect to daily emotion regulation. The results of three experience sampling studies showed that the association between emotional intensity and RT followed an inverted U shape. RT was in part related to confidence. Emotional clarity measures were unrelated to reappraisal. There was some evidence that lower emotional clarity was related to a greater use of suppression. The findings highlight that emotional intensity and squared emotional intensity should be controlled for when using the RT measure of emotional clarity in future research.

Effects of achievement contexts on the meaning structure of emotion words.

Little is known about the impact of context on the meaning of emotion words. In the present study, we used a semantic profiling instrument (GRID) to investigate features representing five emotion components (appraisal, bodily reaction, expression, action tendencies, and feeling) of 11 emotion words in situational contexts involving success or failure. We compared these to the data from an earlier study in which participants evaluated the typicality of features out of context. Profile analyses identified features for which typicality changed as a function of context for all emotion words, except contentment, with appraisal features being most frequently affected. Those context effects occurred for both hypothesised basic and non-basic emotion words. Moreover, both data sets revealed a four-dimensional structure. The four dimensions were largely similar (valence, power, arousal, and novelty). The results suggest that context may not change the underlying dimensionality but affects facets of the meaning of emotion words.

A Comparison of ML, WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study.

Multilevel structural equation models are increasingly applied in psychological research. With increasing model complexity, estimation becomes computationally demanding, and small sample sizes pose further challenges on estimation methods relying on asymptotic theory. Recent developments of Bayesian estimation techniques may help to overcome the shortcomings of classical estimation techniques. The use of potentially inaccurate prior information may, however, have detrimental effects, especially in small samples. The present Monte Carlo simulation study compares the statistical performance of classical estimation techniques with Bayesian estimation using different prior specifications for a two-level SEM with either continuous or ordinal indicators. Using two software programs (Mplus and Stan), differential effects of between- and within-level sample sizes on estimation accuracy were investigated. Moreover, it was tested to which extent inaccurate priors may have detrimental effects on parameter estimates in categorical indicator models. For continuous indicators, Bayesian estimation did not show performance advantages over ML. For categorical indicators, Bayesian estimation outperformed WLSMV solely in case of strongly informative accurate priors. Weakly informative inaccurate priors did not deteriorate performance of the Bayesian approach, while strong informative inaccurate priors led to severely biased estimates even with large sample sizes. With diffuse priors, Stan yielded better results than Mplus in terms of parameter estimates.

A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods.

Multirater (multimethod, multisource) studies are increasingly applied in psychology. Eid and colleagues (2008) proposed a multilevel confirmatory factor model for multitrait-multimethod (MTMM) data combining structurally different and multiple independent interchangeable methods (raters). In many studies, however, different interchangeable raters (e.g., peers, subordinates) are asked to rate different targets (students, supervisors), leading to violations of the independence assumption and to cross-classified data structures. In the present work, we extend the ML-CFA-MTMM model by Eid and colleagues (2008) to cross-classified multirater designs. The new C4 model (Cross-Classified CTC[M-1] Combination of Methods) accounts for nonindependent interchangeable raters and enables researchers to explicitly model the interaction between targets and raters as a latent variable. Using a real data application, it is shown how credibility intervals of model parameters and different variance components can be obtained using Bayesian estimation techniques.

Distinguishing state variability from trait change in longitudinal data: the role of measurement (non)invariance in latent state-trait analyses.

Researchers analyzing longitudinal data often want to find out whether the process they study is characterized by (1) short-term state variability, (2) long-term trait change, or (3) a combination of state variability and trait change. Classical latent state-trait (LST) models are designed to measure reversible state variability around a fixed set-point or trait, whereas latent growth curve (LGC) models focus on long-lasting and often irreversible trait changes. In the present article, we contrast LST and LGC models from the perspective of measurement invariance testing. We show that establishing a pure state-variability process requires (1) the inclusion of a mean structure and (2) establishing strong factorial invariance in LST analyses. Analytical derivations and simulations demonstrate that LST models with noninvariant parameters can mask the fact that a trait-change or hybrid process has generated the data. Furthermore, the inappropriate application of LST models to trait change or hybrid data can lead to bias in the estimates of consistency and occasion specificity, which are typically of key interest in LST analyses. Four tips for the proper application of LST models are provided.

Longitudinal relationships between depressive symptoms, functional impairment, and physical activity in later late life.

The purpose of this study was to investigate relationships between depressive symptoms, functional disability, and physical activity over time in community-dwelling older adults. The Religious Order Study and Rush Memory and Aging Project are longitudinal cohort studies based in the United States which began recruitment in 1994 and 1997, respectively. This analysis included 1611 participants (27.4% male, 92.9% White, 74.7% cognitively normal) who were included at age 80 and followed until age 90. Depressive symptoms were assessed using the modified Center for Epidemiologic Studies Depression scale. Functional disability was assessed using the Instrumental Activities of Daily Living (IADL) scale. Physical activity was self-reported hours of weekly exercise. Reciprocal temporal relationships between these variables were investigated using a random intercept cross-lagged panel model, which decomposes observed variables into stable between-person ('trait') and variable within-person ('state') components to estimate the directional effects between variables over time. Traits for depressive symptoms, IADL disability, and physical activity were correlated. IADL disability showed autoregressive effects; disability starting at age 82 strongly predicted subsequent disability. Consistent autoregressive effects were not observed for depressive symptoms nor physical activity. Several small cross-lagged effects between states were observed for IADL disability and physical activity, as well as for IADL disability and depressive symptoms. There were no direct effects between depressive symptoms and physical activity, but several paths through IADL disability were observed between ages 82 and 88. Functional disability played an important role in octogenarians, highlighting the importance of maintaining functional independence later in life.

Beyond the usual suspects: target group- and behavior-specific factors add to a theory-based sun protection intervention for teenagers.

Sun protection standards among teenagers are low while sun exposure peaks in this age group. Study 1 explores predictors of adolescent protection intentions and exposure behavior. Study 2 tests the effectiveness of an intervention based on these predictors. Study 1(cross-sectional, N = 207, ages 15-18) and Study 2 (RCT, N = 253, ages 13-19) were conducted in schools. Path models were used to analyze data. Self-efficacy (ß = .26, p < .001) and time perspective (ß = .17, p = .014) were the strongest predictors of intentions; appearance motivation (ß = .54, p < .001) and intention (ß = -.18, p = .015) predicted behavior. The intervention effected changes in all predictors except self-efficacy. Changes in outcome expectancies (ß = .19, p < .001) and time perspective (ß = .09, p = .039) predicted changes in intention, while changes in intention (ß = -.17, p = .002) and appearance motivation (ß = .29, p < .001) predicted behavior changes. Target group- and behavior-specific intervention components are as important for changes in intentions and behavior as components derived from common health behavior theories.

A General Theorem and Proof for the Identification of Composed CFA Models.

In this article, we present a general theorem and proof for the global identification of composed CFA models. They consist of identified submodels that are related only through covariances between their respective latent factors. Composed CFA models are frequently used in the analysis of multimethod data, longitudinal data, or multidimensional psychometric data. Firstly, our theorem enables researchers to reduce the problem of identifying the composed model to the problem of identifying the submodels and verifying the conditions given by our theorem. Secondly, we show that composed CFA models are globally identified if the primary models are reduced models such as the CT-C[Formula: see text] model or similar types of models. In contrast, composed CFA models that include non-reduced primary models can be globally underidentified for certain types of cross-model covariance assumptions. We discuss necessary and sufficient conditions for the global identification of arbitrary composed CFA models and provide a Python code to check the identification status for an illustrative example. The code we provide can be easily adapted to more complex models.

"The impact of unemployment on cognitive, affective, and eudaimonic well-being facets: Investigating immediate effects and short-term adaptation": Correction.

Reports an error in "The impact of unemployment on cognitive, affective, and eudaimonic well-being facets: Investigating immediate effects and short-term adaptation" by Mario Lawes, Clemens Hetschko, Ronnie Schöb, Gesine Stephan and Michael Eid (Journal of Personality and Social Psychology, Advanced Online Publication, Apr 04, 2022, np). In the original article, the letter "M" in "M1" and "M2" throughout should not be italicized. The word "occurred" is corrected to "occurred" and the word "occurring" is corrected to "occurring" in several places throughout. The acronym LCS in Figure 1 note is corrected to latent change score model. The average immediate effect on life satisfaction that appears in the first sentence of the Cognitive Well-Being section is -4.74. The second sentence of the second paragraph in the Cognitive Well-Being section should appear as Luhman et al. (2014), for example, reported that life satisfaction dropped by 4.1 p.p. The third paragraph in the Cognitive Well-Being section should appear as Moreover, the effects can be compared to international panel studies. Variable names in Figures 2 and 3 notes should appear italicized. All versions of this article have been corrected. (The following abstract of the original article appeared in record 2022-47585-001). While long-lasting declines in life satisfaction following unemployment have been well documented, evidence on the impact of unemployment on affective and eudaimonic well-being is scarce. Moreover, most existing studies relied on yearly panel data and were unable to separate the immediate effects of entering unemployment from prospective effects occurring before individuals become unemployed. The present study identified the immediate effects of entering unemployment on cognitive, affective and eudaimonic well-being facets using a control-group design based on monthly panel data of initially employed German jobseekers who were at high risk of losing their job. In order to investigate patterns of short-term adaptation, the study further examined whether average well-being levels change within the first months of unemployment using a mixed-effects trait-state-occasion model. All effects were separately computed for jobseekers affected by mass-layoffs or plant closures and individuals who registered as jobseekers due to other reasons. Multi-item instruments and experience sampling were used to validly measure the various well-being facets. The results indicate that life satisfaction and income satisfaction significantly decreased for individuals affected by mass-layoffs or plant closures from the last month in employment to the first month in unemployment. For individuals who registered as jobseekers due to other reasons, these effects were smaller and not significant in the case of life satisfaction. Crucially, there were no immediate effects of entering unemployment on the examined affective and eudaimonic well-being facets. Moreover, well-being levels were generally stable within the first months of unemployment indicating a general absence of short-term adaptation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The impact of unemployment on cognitive, affective, and eudaimonic well-being facets: Investigating immediate effects and short-term adaptation.

[Correction Notice: An Erratum for this article was reported online in Journal of Personality and Social Psychology on Jun 02 2022 (see record 2022-66262-001). In the original article, the letter "M" in "M1" and "M2" throughout should not be italicized. The word "occurred" is corrected to "occurred" and the word "occurring" is corrected to "occurring" in several places throughout. The acronym LCS in Figure 1 note is corrected to latent change score model. The average immediate effect on life satisfaction that appears in the first sentence of the Cognitive Well-Being section is -4.74. The second sentence of the second paragraph in the Cognitive Well-Being section should appear as Luhman et al. (2014), for example, reported that life satisfaction dropped by 4.1 p.p. The third paragraph in the Cognitive Well-Being section should appear as Moreover, the effects can be compared to international panel studies. Variable names in Figures 2 and 3 notes should appear italicized. All versions of this article have been corrected.] While long-lasting declines in life satisfaction following unemployment have been well documented, evidence on the impact of unemployment on affective and eudaimonic well-being is scarce. Moreover, most existing studies relied on yearly panel data and were unable to separate the immediate effects of entering unemployment from prospective effects occurring before individuals become unemployed. The present study identified the immediate effects of entering unemployment on cognitive, affective and eudaimonic well-being facets using a control-group design based on monthly panel data of initially employed German jobseekers who were at high risk of losing their job. In order to investigate patterns of short-term adaptation, the study further examined whether average well-being levels change within the first months of unemployment using a mixed-effects trait-state-occasion model. All effects were separately computed for jobseekers affected by mass-layoffs or plant closures and individuals who registered as jobseekers due to other reasons. Multi-item instruments and experience sampling were used to validly measure the various well-being facets. The results indicate that life satisfaction and income satisfaction significantly decreased for individuals affected by mass-layoffs or plant closures from the last month in employment to the first month in unemployment. For individuals who registered as jobseekers due to other reasons, these effects were smaller and not significant in the case of life satisfaction. Crucially, there were no immediate effects of entering unemployment on the examined affective and eudaimonic well-being facets. Moreover, well-being levels were generally stable within the first months of unemployment indicating a general absence of short-term adaptation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A general framework for the inclusion of time-varying and time-invariant covariates in latent state-trait models.

Latent state-trait (LST) models are increasingly applied in psychology. Although existing LST models offer many possibilities for analyzing variability and change, they do not allow researchers to relate time-varying or time-invariant covariates, or a combination of both, to loading, intercept, and factor variance parameters in LST models. We present a general framework for the inclusion of nominal and/or continuous time-varying and time-invariant covariates in LST models. The new framework builds on modern LST theory and Bayesian moderated nonlinear factor analysis and is termed moderated nonlinear LST (MN-LST) framework. The MN-LST framework offers new modeling possibilities and allows for a fine-grained analysis of trait change, person-by-situation interaction effects, as well as inter- or intraindividual variability. The new MN-LST approach is compared to alternative modeling strategies. The advantages of the MN-LST approach are illustrated in an empirical application examining dyadic coping in romantic relationships. Finally, the advantages and limitations of the approach are discussed, and practical recommendations are provided. (PsycInfo Database Record (c) 2023 APA, all rights reserved).