A correlated traits correlated (methods - 1) multitrait-multimethod model for augmented round-robin data.

We didactically derive a correlated traits correlated (methods - 1) [CTC(M - 1)] multitrait-multimethod (MTMM) model for dyadic round-robin data augmented by self-reports. The model is an extension of the CTC(M - 1) model for cross-classified data and can handle dependencies between raters and targets by including reciprocity covariance parameters that are inherent in augmented round-robin designs. It can be specified as a traditional structural equation model. We present the variance decomposition as well as consistency and reliability coefficients. Moreover, we explain how to evaluate fit of a CTC(M - 1) model for augmented round-robin data. In a simulation study, we explore the properties of the full information maximum likelihood estimation of the model. Model (mis)fit can be quite accurately detected with the test of not close fit and dynamic root mean square errors of approximation. Even with few small round-robin groups, relative parameter estimation bias and coverage rates are satisfactory, but several larger round-robin groups are needed to minimize relative parameter estimation inaccuracy. Further, neglecting the reciprocity covariance-structure of the augmented round-robin data does not severely bias the remaining parameter estimates. All analyses (including data, R scripts, and results) and the simulation study are provided in the Supporting Information. Implications and limitations are discussed.

Parental stress mediates the effects of parental risk factors on dysfunctional parenting in first-time parents: A dyadic longitudinal study.

Both parental psychological well-being (e.g., depressive symptoms) and parental relationship functioning (e.g., negative communication) are common parental risk factors for dysfunctional parenting. The spillover process from these parental characteristics to dysfunctional parenting is assumed to be amplified by parental stress, which is particularly common among mothers and fathers of young children. However, few studies have examined dyadic spillover processes from parental risk factors and parental stress on parenting in early childhood. In the current study, we first examined direct actor and partner effects of parents' depressive symptoms and negative communication at 10 months postpartum on dysfunctional parenting at 48 months postpartum in 168 primiparous mixed-gender couples. Second, we analyzed indirect effects via one's own and the partner's parental stress at 36 months postpartum using Actor-Partner Interdependence Mediation Models (APIMeM). We found direct actor effects for mothers' depressive symptoms and negative communication on their dysfunctional parenting. Additionally, indirect actor effects were found for depressive symptoms and negative communication among mothers and fathers. Specifically, mediating effects of depressive symptoms and negative communication on one's dysfunctional parenting through one's parental stress were found. There were no indirect partner effects through parental stress. These findings highlight the important role of parental stress in early childhood as a mediator between both individual and relationship parental risk factors and dysfunctional parenting. These results further underscore the importance of longitudinal dyadic analyses in providing early and tailored interventions for both mothers and fathers of young children.

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).

Recall bias of students' affective experiences in adolescence: The role of personality and internalizing behavior.

INTRODUCTION: Adolescence is characterized by multiple biopsychosocial changes, associated with a high intraindividual variability of emotional experiences. Previous findings suggest that this intraindividual variability is reflected in a recall bias of adolescents' emotion reports. However, corresponding findings are scarce and inconclusive. Studies on predictors of recall bias in adulthood indicate that personality traits, especially neuroticism and extraversion, as well as specific internalizing disorders might affect recall bias of emotion reports. METHODS: The sample consists of 118 Swiss adolescent students in grade 8 and 9 (Mage = 15.15, SDage = 0.89). The students' momentary affective experience was recorded using smartphones over seven consecutive days in situ at 42 randomly generated occasions (six per day), with a total of 1059 protocols on current events. At the end of the experience-sampling phase, students filled out an online questionnaire, providing information about their personality and typical behavior as well as their retrospective affective experience. In addition, the students' behavior was evaluated by their teachers. We applied two-level structural equation modeling with latent difference variables. RESULTS: Adolescents high in extraversion showed retrospective overestimation of positive affective experiences and underestimation of negative affective experiences. Adolescents with high neuroticism tended to overestimate negative affect retrospectively, showing no significant effects for positive affect. However, internalizing behavior did not predict a negative recall bias in adolescents' affective experience. CONCLUSIONS: Retrospective self-reports about adolescents' affective experience are biased by relatively stable individual factors, whereas less stable individual factors did not seem to have any influence.

Dyadic coping trajectories across the transition to parenthood: Associations with child mental health problems.

How parents cope with stress as a couple (i.e., dyadic coping [DC]) is related to mental health problems in children. But little is known about DC within first-time parents and child mental health problems in early childhood. This study investigated subgroups in DC trajectories across the transition to parenthood (TTP) and examined subgroup differences in child mental health problems. Mothers' and fathers' self-report of positive and negative DC (n = 288 couples) at seven points of measurement (27th, 32nd week of pregnancy, 2nd, 14th, 40th week postpartum, 3- and 4-year postpartum) and children's emotional and behavioral problems from parent report (4-year postpartum) were used. Latent class growth analyses revealed that over half of the couples experienced a moderate decline in positive DC across the TTP (58%), whereas only fathers reported a decline among the remaining couples (42%). Fathers with a partner who maintained their level of positive DC reported more child emotional and behavioral problems than fathers whose partners' DC also decreased. Results for negative DC indicated two subgroups in which one partner maintained their initial level of negative DC (stable fathers: 10%, stable mothers: 23%), while the other increased. In most couples, both parents increased their negative DC (67%). Fathers reported more child emotional and behavioral problems if their negative DC increased across the TTP than if their negative DC remained stable regardless of the negative DC of their partner. The existence of different DC trajectory patterns needs to be considered in further research as well as prevention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.

The present contribution provides a tutorial for the estimation of the social relations model (SRM) by means of structural equation modeling (SEM). In the overarching SEM-framework, the SRM without roles (with interchangeable dyads) is derived as a more restrictive form of the SRM with roles (with noninterchangeable dyads). Starting with the simplest type of the SRM for one latent construct assessed by one manifest round-robin indicator, we show how the model can be extended to multiple constructs each measured by multiple indicators. We illustrate a multiple constructs multiple indicators SEM SRM both with and without roles with simulated data and explain the parameter interpretations. We present how testing the substantial model assumptions can be disentangled from testing the interchangeability of dyads. Additionally, we point out modeling strategies that adhere to cases in which only some members of a group can be differentiated with regards to their roles (i.e., only some group members are noninterchangeable). In the online supplemental materials, we provide concrete examples of specific modeling problems and their implementation into statistical software (Mplus, lavaan, and OpenMx). Advantages, caveats, possible extensions, and limitations in comparison with alternative modeling options are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Rosy or blue? Change in recall bias of students' affective experiences during early adolescence.

Changes in the quality of emotional experience are among the various significant developmental challenges that characterize early adolescence. Although retrospective and momentary emotional self-reports are known to differ, adolescents' emotional experiences are mainly assessed retrospectively without knowing if the recall is biased in a positive or negative way. The present study extends research on recall bias by investigating possible changes in retrospection effects of students' affective experiences during early adolescence. To this end, we compared retrospectively assessed affect with in situ reported affect. At the age of about 12 years (T1) and 3 years later (T2), 120 students repeatedly reported their momentary positive and negative affect during one school week and once in retrospective at the end of the school week. Furthermore, we examined whether students' emotional attitudes toward school have an effect on retrospection effects of students' affect and on change in retrospection effects from T1 to T2. To test our hypotheses, we applied multilevel first-order and second-order latent difference models. Results indicate a positive recall bias (i.e., rosy view) of students' reports of their positive and negative affect in the classroom at T1 and a negative shift in recall bias by T2. Furthermore, findings supported that a rosy view is less likely to occur, if a student is less emotionally involved in school. In turn, positive emotional attitudes toward school appear to serve as a buffer for the tendency toward a negative recall bias (i.e., blue view) at the end of early adolescence. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Lack of reassurance after unexpected positive health risk feedback - an analysis of temporal dynamics.

INTRODUCTION: How do people receive unexpected positive health risk information? While common motivational accounts predict acceptance, consistency accounts such as the cue-adaptive reasoning account (CARA) predict a 'lack of reassurance'. OBJECTIVES: We therefore tested (1) whether people prefer striving for positivity or retaining a sense of self-consistency ('lack of reassurance'), and (2) if there are systematic differences in short- and long-term reception, which would indicate temporal dynamics in processing. METHODS: As part of a longitudinal cohort study, participants of a community health screening (N = 1,055) received their actual cholesterol readings. Feedback reception was assessed immediately, at one month and six months. RESULTS: Processing trajectories for unexpected positive feedback showed a significant 'lack of reassurance' effect over time compared with expected positive feedback, while unexpected negative feedback was less threatening than expected negative feedback. CONCLUSIONS: The perseverance of this 'lack of reassurance' over time indicates that striving for consistency in self-views is a robust phenomenon, even if it means forfeiting a better view of one's own health.

Hello from the Other Side: Can We Perceive Others' Darkness? Observers' Accuracy of the Dark Triad.

The current study builds on research concerning self-other agreement, specifically the Trait-Reputation-Identity (TRI) Model, and combines this theoretical approach and recent advances from multitrait-multimethod research, specifically the CTC(M-1) and the latent difference model. This combination was applied to avoid statistical problems associated with latent trait models of the type previously used in TRI Model research. A further aim was to fully exploit the TRI Model's potential by simultaneously modeling more than one trait in one psychometric model. This makes it possible to explore whether raters use similar information to assess different traits or whether this information is observer-specific, as well as whether the traits themselves can shape an individual's Reputation. All analyses were based on a data set capturing the Dark Triad. As the Dark Triad has only rarely been examined from different rater perspectives before, the study also provides new insights into this network of maladaptive traits. A sample of 290 students, their best friends, and one parent were asked to fill out the NPI, Mach IV, and SRP-III. The results suggest that accuracy is high only for narcissism. Moreover, a dark halo could be observed among each of the other-raters for Machiavellianism and psychopathy; target's standings on these two traits were also underestimated by the other-raters. The study's combined use of the TRI Model and modern structural equation methods highlights the usefulness of the TRI Model and adds to the debate about the specific nature of Dark Triad traits.

The Bright Side of Grit in Burnout-Prevention: Exploring Grit in the Context of Demands-Resources Model among Chinese High School Students.

This study contributes to understanding students' emotional responses to academic stressors by integrating grit into the well-established Job Demands-Resources Model and by examining the relationship between academic demands, grit (consistency of interests, perseverance of effort), burnout, engagement, academic achievement, depression, and life satisfaction in Chinese students. We conducted a self-report study with N = 1527 Chinese high school students (Mage = 16.38 years, SD = 1.04). The results of structural equation modeling showed that after controlling for gender, socio-economic status, and school types, demands positively related to burnout and negatively related to engagement. Both facets of grit negatively related to exhaustion, whereas only perseverance of effort positively related to engagement. Burnout positively related to depression and negatively related to life satisfaction, whereas engagement positively related to life satisfaction. However, neither burnout nor engagement was related to academic achievement. Our findings indicate that grit may be protective against school burnout.

Stress, dyadic coping, and relationship satisfaction: A longitudinal study disentangling timely stable from yearly fluctuations.

The aims of the present study are to analyze the associations of different forms of dyadic coping (i.e., own supportive dyadic coping = OSDC; perceived supportive dyadic coping provided by the partner = PSDC; common dyadic coping = CDC) with relationship satisfaction, and to investigate whether these effects differ depending on the amount of perceived stress. In 240 couples, the different forms of dyadic coping and stress of both partners were assessed annually across 5 measurement points. Data was analyzed by dyadic multilevel models, which allow for disentangling between-person (overall, timely stable) from within-person (yearly, time specific) variations. The results revealed that all different forms of dyadic coping enhanced overall and yearly relationship satisfaction. At the same time, relationship satisfaction depends on the amount of overall and yearly stress. Interestingly, for PSDC, we found that the more a member of the couple was supported by the partner yearly (time-specific PSDC) and the more the member was stressed overall (timely stable), the higher the member scored on relationship satisfaction. For CDC, we found that yearly CDC beyond the overall level of CDC interacted with the timely stable amount of stress. Dealing together with stress and perceiving the partner as helpful were especially beneficial for relationship satisfaction. Findings highlight the importance of addressing specific forms of dyadic coping in intervention and prevention programs for couples.

A tree of life? Multivariate logistic outcome-prediction in disorders of consciousness.

Background: Clinical outcome of patients with disorders of consciousness (DOC) is seen as generally very poor. Here, we specify individual outcome chances for patients with DOC on the basis of clinical and event-related-potentials (ERPs) data and identify subgroups, who vary substantially regarding their outcome chances.Methods: We employed data from 102 patients and used standard clinical protocol data (age, etiology, diagnosis, gender), sensory (N100, Mismatch-Negativity) and cognitive (P300, N400) ERPs to predict patients' recovery rates.Results: Two significant prediction models emerged: In both, subgroups of patients with good (51%, tree 1) to very good recovery chances (97%, tree 2) could be identified. The first model was obtained from standard clinical data. The second model included cognitive ERPs and resulted in considerably better patient classification. Moreover, when taking cognitive ERPs into account, the standard protocol data did not add further significant information, neither did sensory ERPs.Conclusion: The presented information about outcome chances of individual patients with DOC will be vital for these patients and critical for clinical professionals who have to direct specialized treatments and council relatives. Legal guardians and families, in turn, need to know what to expect in the future in order to prepare for the challenges ahead.

The Influence of Sample Size on Parameter Estimates in Three-Level Random-Effects Models.

In educational psychology, observational units are oftentimes nested within superordinate groups. Researchers need to account for hierarchy in the data by means of multilevel modeling, but especially in three-level longitudinal models, it is often unclear which sample size is necessary for reliable parameter estimation. To address this question, we generated a population dataset based on a study in the field of educational psychology, consisting of 3000 classrooms (level-3) with 55000 students (level-2) measured at 5 occasions (level-1), including predictors on each level and interaction effects. Drawing from this data, we realized 1000 random samples each for various sample and missing value conditions and compared analysis results with the true population parameters. We found that sampling at least 15 level-2 units each in 35 level-3 units results in unbiased fixed effects estimates, whereas higher-level random effects variance estimates require larger samples. Overall, increasing the level-2 sample size most strongly improves estimation soundness. We further discuss how data characteristics influence parameter estimation and provide specific sample size recommendations.

The power of listening: Lending an ear to the partner during dyadic coping conversations.

Although active, responsive listening is widely assumed to be essential for well-functioning intimate relationships, the manner in which this important behavior might promote closeness remains unknown. To test the prediction that listening may be especially influential when partners disclose experiences of stress, we instructed 365 heterosexual couples to hold two 8-min conversations in which each partner discussed a stressful personal experience while the other partner was asked to respond as he or she ordinarily would. We coded expressions of stress and listening behavior at 10-s intervals during these conversations, applied actor-partner multilevel models to compute a variable capturing the covariation between one partner's stress expression and the other partner's listening behavior, and then used that variable in regression analyses to predict observed dyadic coping behaviors, self-reports of the quality of dyadic coping in general, and self-reports of relationship satisfaction. Attentive listening while the other partner expressed stress was significantly linked with better dyadic coping behaviors and higher relationship satisfaction. Partners displaying less attentive listening during the partner's stress expression also engaged in more problem-oriented coping and more negative dyadic coping. Because attentive listening during disclosure of stress covaries in expected ways with support provision and judgments of relationship quality, appreciating the context-specific effects of active listening merits careful consideration as an intervention target in couple therapy and in relationship education programs. (PsycINFO Database Record

Psychometric evaluation of the Epilepsy-related Fears in Parents Questionnaire.

OBJECTIVE: The aim of the article was to examine the psychometric properties of the Epilepsy-related Fears in Parents Questionnaire (EFPQ). METHOD: Internal consistency, factor structure, and construct validity were analyzed based on data from 291 parents participating in the baseline assessment of a quasi-experimental study on the efficacy of the FAMOSES (modulares Schulungsprogramm Epilepsie für Familien) parents' program. The control group of this study was used to calculate the test-retest reliability, while the responsiveness of the questionnaire was evaluated by comparing matched groups of FAMOSES participants and control parents. RESULTS: An exploratory factor analysis revealed two factors of epilepsy-related fears, "Fears about short-term consequences of the child's epilepsy" (8 items) and "Fears about the future development of the child and the child's epilepsy" (9 items). Both showed good reliability (Cronbach's α=.89 and .91, resp.; test-retest reliability: ICC=.77 and .80, resp.), and construct validity was confirmed by correlations with epilepsy-related variables and psychosocial outcomes, e.g., with the Impact on Family Scale (r=.48 and .61, resp.). The FAMOSES parents' program significantly reduced epilepsy-related fears (p<.05 for both subscales). CONCLUSION: The EFPQ proved to be a reliable, valid, and responsive instrument for the assessment of parental fears about their child's epilepsy and can be recommended for use in future studies.

Relationships of depression and anxiety symptoms with seizure frequency: Results from a multicenter follow-up study.

PURPOSE: Depressive and anxiety disorders are frequent among people with epilepsies. There are, however, only few longitudinal studies, which examine the relationship between these comorbid psychiatric disorders and epilepsy-related variables. Thus, we investigated the interrelationships of depression and anxiety symptoms with seizure frequency across time. METHODS: Before admittance to an epilepsy center (T1) and six months after discharge (T2), patients (n=198) with mainly difficult-to-treat epilepsies completed the Hospital Anxiety and Depression Scale (HADS). Correlation and path analyses were conducted. RESULTS: Depression and anxiety symptoms (HADS) as well as seizure frequency significantly decreased from baseline to follow-up. Both at T1 and T2, seizure frequency was slightly, but significantly correlated with depression and anxiety levels (rs=0.17-.32). Cross-lagged-analyses showed that baseline (T1) level of depression significantly predicted frequency of seizures at follow-up (T2). However, anxiety at T1 was not a significant predictor of seizure frequency at T2 and seizure frequency at T1 did not predict either depressive or anxiety symptoms at T2. CONCLUSION: The present findings emphasize the importance of psychiatric comorbidities, especially depression, for seizure frequency and its progress in patients with difficult-to-treat epilepsies referred to a specialized epilepsy center. Thus, comorbid psychiatric disorders need specific consideration as part of a comprehensive diagnostic and therapeutic treatment approach.

Analyzing Dyadic Sequence Data-Research Questions and Implied Statistical Models.

The analysis of observational data is often seen as a key approach to understanding dynamics in romantic relationships but also in dyadic systems in general. Statistical models for the analysis of dyadic observational data are not commonly known or applied. In this contribution, selected approaches to dyadic sequence data will be presented with a focus on models that can be applied when sample sizes are of medium size (N = 100 couples or less). Each of the statistical models is motivated by an underlying potential research question, the most important model results are presented and linked to the research question. The following research questions and models are compared with respect to their applicability using a hands on approach: (I) Is there an association between a particular behavior by one and the reaction by the other partner? (Pearson Correlation); (II) Does the behavior of one member trigger an immediate reaction by the other? (aggregated logit models; multi-level approach; basic Markov model); (III) Is there an underlying dyadic process, which might account for the observed behavior? (hidden Markov model); and (IV) Are there latent groups of dyads, which might account for observing different reaction patterns? (mixture Markov; optimal matching). Finally, recommendations for researchers to choose among the different models, issues of data handling, and advises to apply the statistical models in empirical research properly are given (e.g., in a new r-package "DySeq").

Couple relationship education: A randomized controlled trial of professional contact and self-directed tools.

The aim of this randomized controlled trial was to examine the efficacy of an evidence-based relationship distress prevention program, the Couples Coping Enhancement Training (CCET), in dual well-earning couples and to investigate whether effects vary by (a) hours of professional contact and (b) mode of delivery (face to face vs. self-learning DVD). N = 159 couples were randomly assigned to 1 of 4 intervention conditions: (1) standard CCET (15 hours face to face), (2) compact CCET (12 hr face to face), (3) short CCET (self-learning DVD + 8 hr face to face), or (4) wait-list control group. Relationship satisfaction and dyadic coping skills were assessed by means of questionnaires completed prior to and 2 weeks after completion of the treatment, at 3-month follow-up, and at 6-month follow-up. Baseline latent change models for 2 factors showed that the CCET enhanced relationship satisfaction and dyadic coping skills in couples relative to the wait-list control group, albeit effects were small. The standard format of the CCET was not more effective than the compact or the short format indicating that reduced amount of professional contact did not decrease the treatment's efficacy and that the self-learning DVD successfully replaced the psycho-educational part of the program. Since dual earner couples usually face multiple stressors, it is a promising finding that they can strengthen their relationship with a relatively short time investment. (PsycINFO Database Record

The efficacy of an educational program for parents of children with epilepsy (FAMOSES): Results of a controlled multicenter evaluation study.

OBJECTIVE: The objective of this study was to evaluate the efficacy of the educational program FAMOSES (modular service package epilepsy for families) for parents of children with epilepsy. METHOD: Parents of children with epilepsy from Germany and Austria were included in a controlled prospective multicenter study using a pre-post design. Participants of the FAMOSES program (FAMOSES group, n=148) completed a standardized questionnaire immediately before the program and six months later. The matched control group of parents not participating in the program (n=74, matching ratio 2:1) also answered the questionnaire twice, at an interval of six months. The questionnaire comprised epilepsy-specific outcome measures (e.g., knowledge, coping, fears) and disease-related variables (e.g., seizure frequency). The generalized estimation equation approach was used for statistical analysis. In addition, parents' satisfaction with the FAMOSES program was assessed six months after participation. RESULTS: Parents of the FAMOSES group significantly improved in epilepsy-specific knowledge (group×time interaction: p<.001), coping (p<.01), epilepsy-related fears (p<.05), and in speaking about epilepsy with their child (p<.05) compared with the control group. No effects were found on disease-related variables. Nearly all of the participants rated the FAMOSES parents' program as "very good" (71%) or "good" (27%). CONCLUSION: The efficacy of the FAMOSES parents' program was confirmed. The results indicate that imparting knowledge and the interactive approach help parents in coping with their child's epilepsy and reduce epilepsy-related fears.