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.

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.

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.

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).

State, trait, and accumulated features of the Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog) in mild Alzheimer's disease.

Background: The Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog) is used to assess decline in memory, language, and praxis in Alzheimer's disease (AD). Methods: A latent state-trait model with autoregressive effects was used to determine how much of the ADAS-Cog item measurement was reliable, and of that, how much of the information was occasion specific (state) versus consistent (trait or accumulated from one visit to the next). Results: Participants with mild AD (n = 341) were assessed four times over 24 months. Praxis items were generally unreliable as were some memory items. Language items were generally the most reliable, and this increased over time. Only two ADAS-Cog items showed reliability >0.70 at all four assessments, word recall (memory) and naming (language). Of the reliable information, language items exhibited greater consistency (63.4% to 88.2%) than occasion specificity, and of the consistent information, language items tended to reflect effects of AD progression that accumulated from one visit to the next (35.5% to 45.3%). In contrast, reliable information from praxis items tended to come from trait information. The reliable information in the memory items reflected more consistent than occasion-specific information, but they varied between items in the relative amounts of trait versus accumulated effects. Conclusions: Although the ADAS-Cog was designed to track cognitive decline, most items were unreliable, and each item captured different amounts of information related to occasion-specific, trait, and accumulated effects of AD over time. These latent properties complicate the interpretation of trends seen in ordinary statistical analyses of trials and other clinical studies with repeated ADAS-Cog item measures. Highlights: Studies have described unfavorable psychometric properties of the Alzheimer's Disease Assessment Scale Cognitive Subscale (ADAS-Cog), bringing into question its ability to track changes in cognition uniformly over time. There remains a need to estimate how much of the ADAS-Cog measurement is reliable, of that how much is occasion specific versus consistent, and of the consistent information, how much represents enduring traits versus autoregressive effects (i.e., effects of Alzheimer's disease [AD] progression carried over from one assessment to the next).A latent state-trait model with autoregressive effects in mild AD found most items to be unreliable, and each item to capture different amounts of occasion-specific, trait, and autoregressive information. Language items, specifically, naming and the memory item word recall, were the most reliable.Psychometric idiosyncrasies of individual items complicate the interpretation of their summed score, biasing ordinary statistical analyses of repeated measures in mild AD. Future studies should consider item trajectories individually.

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.

On the Meaning of the "P Factor" in Symmetrical Bifactor Models of Psychopathology: Recommendations for Future Research From the Bifactor-(S-1) Perspective.

Symmetrical bifactor models are frequently applied to diverse symptoms of psychopathology to identify a general P factor. This factor is assumed to mark shared liability across all psychopathology dimensions and mental disorders. Despite their popularity, however, symmetrical bifactor models of P often yield anomalous results, including but not limited to nonsignificant or negative specific factor variances and nonsignificant or negative factor loadings. To date, these anomalies have often been treated as nuisances to be explained away. In this article, we demonstrate why these anomalies alter the substantive meaning of P such that it (a) does not reflect general liability to psychopathology and (b) differs in meaning across studies. We then describe an alternative modeling framework, the bifactor-(S-1) approach. This method avoids anomalous results, provides a framework for explaining unexpected findings in published symmetrical bifactor studies, and yields a well-defined general factor that can be compared across studies when researchers hypothesize what construct they consider "transdiagnostically meaningful" and measure it directly. We present an empirical example to illustrate these points and provide concrete recommendations to help researchers decide for or against specific variants of bifactor structure.

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.

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).

"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).

Unemployment and hair cortisol as a biomarker of chronic stress.

Unemployment is widely considered an important chronic stressor. Using longitudinal data of initially employed German jobseekers, the present study examines whether unemployment is related to changes in hair cortisol concentration (HCC), a reliable biomarker for chronic stress. The results indicate that HCC is the highest initially when individuals are insecurely employed and decreases as people gain certainty about whether they enter unemployment or not. We find no effects when comparing the average changes in HCC between individuals who entered unemployment to those of continuously employed individuals. However, medium-term unemployment was associated with a stronger mean increase in HCC if re-employment expectations were low compared to when re-employment expectations were high. Taken together, our results support two key conclusions. First, experiencing the uncertainty of looming unemployment is associated with more pronounced cortisol secretion than unemployment itself. Second, whether working or being unemployed is associated with higher HCC is highly context-dependent, with poor re-employment prospects during unemployment being a key predictor of increased HCC. Overall, our study provides further evidence that the physiological stress system is especially sensitive to uncontrollable situations and unfamiliar challenge.

Perceived parenting and identification with all humanity: Insights from England and Germany.

In the past decade, identification with all humanity (IWAH) has been found to predict several positive behavioral outcomes like volunteering, a willingness to contribute to humanitarian relief, and cooperative health behavior during the COVID-19 pandemic. However, to this day, little is known about how individual differences in IWAH emerge. Therefore, the present study aimed to explore whether there is a relationship between individuals' upbringing and their IWAH. For this purpose, data on IWAH, remembered parenting behavior (RPB), and remembered parental attachment assessed by 3056 individuals (1517 from Germany and 1539 from England) were analyzed. Structural equation models were used to (A) analyze the correlations between RPB, attachment, and IWAH and to (B) test whether single facets of RPB and attachment could significantly predict IWAH when controlling for the other facets in a latent regression analysis. The facets of positive RPB correlated significantly positively with the two facets of IWAH (global self-definition and global self-investment) and explained between 4.1 and 7% of their variance. Surprisingly, in the English sample, two facets of negative RPB also correlated significantly positively with IWAH. The explained variance in IWAH being significant but small, it is argued that parents' attitudes or behavior specifically related to IWAH could have a greater impact on IWAH than more unspecific parenting behavior. For instance, we discovered that the extent to which participants perceived their parents as global citizens explained about one third of the variance in their own identification as global citizens. Fostering IWAH could constitute an effective approach to tackle important global challenges. Therefore, more research is needed to test the generalizability of the results and to further analyze the roots of people's IWAH.

The Berlin Misophonia Questionnaire Revised (BMQ-R): Development and validation of a symptom-oriented diagnostical instrument for the measurement of misophonia.

Misophonia is a clinical syndrome which is characterized by intense emotional and physical reactions to idiosyncratic sounds. However, its psychometric measurement is still in the early stages. This study describes the optimization of a self-report instrument, the Berlin Misophonia Questionnaire (BMQ), and addresses its strengths in comparison to existing psychometric measures. This new measure integrates contemporary empirical findings and is based on the latest criteria of misophonia. A cross-sectional online study was conducted using data of 952 affected as well as non-affected individuals. The final BMQ-R consists of 77 items in 21 scales, which were selected using a probabilistic item selection algorithm (Ant Colony Optimization). The results of confirmatory factor analyses, the assessment of reliability, and an extensive construct validation procedure supported the reliability and validity of the developed scales. One outstanding strength of the BMQ-R is its comprehensive measurement of misophonic emotional and physical responses. The instrument further allows for distinguishing between behavioral, cognitive, and emotional dysregulation; the measurement of clinical insight and significance; as well as discerning reactive and anticipating avoidance strategies. Our work offers several improvements to the measurement of misophonia by providing a reliable and valid multidimensional diagnostical instrument. In line with the scientific consensus on defining misophonia, the BMQ-R allows to formally recognize individuals with misophonia and so to compare findings of future studies. Undoubtedly, this measure fills a research gap, which we hope will facilitate the investigation of causes and treatment of misophonia.

The Role of Intelligence and Self-Concept for Teachers' Competence.

Research on intelligence and competence has developed widely independent of each other. The present paper aims at relating these traditions and at integrating the dominant models to fill gaps in the respective theories. We test the structural models derived from this integration in a series of confirmatory factor analyses and a latent moderated structural equations approach using teachers as an example. The data reveal that both fluid intelligence (gf) and domain-specific knowledge affect teachers' ability to solve the domain-specific items. Teachers' academic self-concept related to mathematics explains individual differences beyond gf. An interaction effect between gf and self-concept exists for teachers' pedagogical content and general pedagogical knowledge, but not for their mathematics knowledge. This finding indicates that a positive self-concept cannot compensate for a lack of gf, but it supports the acquisition of domain-specific knowledge in case of high gf, probably because it facilitates overcoming challenges.

Factor score estimation in multimethod measurement designs with planned missing data.

Multimethod measurement designs with planned missing data (MMM-PMD) aim at combining cheap proxy methods (e.g., self-reports) with an expensive gold standard method (e.g., biomarker) in order to improve the cost-efficiency of research designs. This article presents a comprehensive simulation study investigating whether accurate factor scores with trustworthy confidence or credible intervals for the gold standard method can be obtained in MMM-PMD designs. The results indicate that the Bartlett-FIML, regression-FIML, and fully Bayesian estimator perform equally well in terms of recovering the true rank-order and absolute level of the factor scores for subjects with complete data. However, for subjects with planned missing data the estimated factor scores are considerably biased and cannot be computed with the Bartlett-FIML estimator. The confidence or credible intervals for the estimated factor scores are trustworthy for complete cases. For subjects with planned missing data, the coverage rates vary considerably across conditions. Thus, the present study illustrates that individual scores from MMM-PMD designs should not be used for consequential individual decisions. Still, factor scores from MMM-PMD designs might be useful when used for secondary analyses that rely on group-level statistics like computing propensity scores for matching purposes or for factor score regression. The simulation results underline that multiple reliable proxy methods that are highly correlated with the gold standard method but are not highly correlated with each other should be administered to maximize the accuracy of the estimated factor scores as well as the trustworthiness of the corresponding confidence or credible intervals. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

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.

Self-esteem instability might be more characteristic of borderline personality disorder than affective instability: Findings from an e-diary study with clinical and healthy controls.

Borderline personality disorder (BPD) is commonly characterized by pervasive instability. Affective instability, despite being a diagnostic criterion in the DSM-5, is commonly seen as a transdiagnostic feature, but recent studies have brought new attention to the importance of self-esteem instability as a potential defining feature of BPD. However, evidence is lacking regarding whether heightened self-esteem instability is a specific feature of BPD when patients with BPD are compared to clinical controls. Using ambulatory assessment, we examined self-esteem instability and affective instability in participants' daily lives. We assessed momentary self-esteem and affective state 12 times daily for 4 consecutive days in 71 patients with BPD, 121 patients with anxiety disorders (ADs), and 74 healthy controls (HCs). To determine group differences, we used established instability indices and analyzed multilevel models. Compared to HCs, patients with BPD and those with ADs exhibited heightened self-esteem instability and affective instability. Importantly, the clinical groups did not differ in affective instability, whereas self-esteem instability was significantly higher in patients with BPD than in those with ADs across all instability indices. Beyond the influence of mean self-esteem, patients with BPD had the highest general instability, the most frequent extreme changes, and the largest decreases in self-esteem, especially from high levels of self-esteem. Our results support previous findings on affective instability, which may constitute a transdiagnostic feature, and they provide the first evidence that heightened self-esteem instability is particularly prominent in BPD, underscoring the importance of self-esteem for the understanding of dysregulation in BPD. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Cognitive-affective responses to online positive-psychological interventions: The effects of optimistic, grateful, and self-compassionate writing.

Growing evidence suggests that online positive-psychological interventions effectively increase well-being, and a wealth of evidence describes cognitive-affective responses to such interventions. Few studies, however, have directly compared responses across popular exercises such as the best-possible-self intervention, the gratitude letter, or self-compassionate writing. In addition, current evidence is ambiguous regarding the effects of potential moderator variables such as trait gratitude and emotional self-awareness. To address these issues, we randomized 432 German adults to perform either optimism, gratitude, self-compassion, or control writing interventions in an online setting. Participants reported trait gratitude and trait emotional self-awareness before the interventions, as well as momentary optimism, gratitude, self-compassion, positive affect, and current thoughts immediately after the interventions. Results indicate higher momentary optimism after the best-possible-self intervention and higher momentary gratitude after the gratitude letter than after the control task. There were no differences when comparing the best-possible-self intervention with the gratitude letter. Both interventions increased the number of positive self-relevant thoughts. The self-compassion condition showed no effects. Moderation analysis results indicate that neither emotional self-awareness nor trait gratitude moderated the intervention effects. Future studies should compare responses across different positive-psychological interventions using more comprehensive exercises to ensure larger effects.

The Fear of Being Laughed at, Social Anxiety, and Paranoid Ideation: A Multilevel Confirmatory Factor Analysis of Multitrait-Multimethod Data.

The GELOPH-15 is a self-report measure that assesses individual differences in the fear of being laughed at (i.e., gelotophobia), a relatively understudied but important trait that is closely related to social anxiety. Using a multitrait-multimethod (MTMM) approach, the convergent and discriminant validity of the GELOPH-15 scale was examined based on 217 self- and 651 peer ratings (of three close acquaintances per target) of the traits gelotophobia, social anxiety, and paranoid ideation. Participants completed the Spanish versions of the GELOPH-15, the Social Interaction Anxiety Scale, and the Paranoia Scale. Applying MTMM models of multilevel confirmatory factor analyses (ML-CFA-MTMM) revealed relatively high associations between the self- and peer ratings, supporting the convergent validity of the GELOPH-15. Discriminant validity analyses confirmed the expected relationship patterns of gelotophobia with social anxiety and paranoid ideation (i.e., strong, but not perfect associations). The results showed that the ML-CFA-MTMM models might be a useful tool for analyzing the convergent and discriminant validity based on self- and peer ratings.

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.