Successful Aging Across Adulthood: Hassles,Uplifts, and Self-Assessed Health in Daily Context

To examine the ways in which age, sex, daily uplifts, and daily hassles influence fluctuations in self-assessed health (SAH). A 14-day experience sampling study was conducted among community-dwelling adults (N?=?87). The distribution-free method of generalized estimating equations was used to examine whether changes in the intensity of daily hassles and changes in intensities of daily uplifts predicted subsequent changes in SAH. Both hassles and uplifts influenced SAH, although neither age nor sex influenced these associations. Findings are discussed in terms of the benefits of examining the daily context as an influence on successful aging.     

Hassles and uplifts of giving care to a family member with dementia

The role of daily caregiving stressors (hassles) and small caregiving satisfactions (uplifts) in the well-being of 60 family caregivers was investigated. Hassles and uplifts in 4 domains of caregiving were examined, and direct effects of hassles, uplifts on caregivers' social and psychological well-being, as well as the interactive and net effects of hassles and uplifts, were assessed. Hassles associated with care recipients' behavior demonstrated strongest associations with well-being. Women and caregivers to socially responsive yet behaviorally inappropriate care recipients reported more behavior and cognitive hassles. Uplifts associated with assistance in activities of daily living and with care recipients' behavior were related to well-being, with more uplifts related to greater, rather than less, depression. More intensely involved caregivers reported more of these uplifts. Net effects in the hypothesized direction were found, but no interactive effects emerged.     

Predicting Latent Class Scores for Subsequent Analysis

Latent class regression models relate covariates and latent constructs such as psychiatric disorders. Though full maximum likelihood estimation is available, estimation is often in three steps: (i) a latent class model is fitted without covariates; (ii) latent class scores are predicted; and (iii) the scores are regressed on covariates. We propose a new method for predicting class scores that, in contrast to posterior probability-based methods, yields consistent estimators of the parameters in the third step. Additionally, in simulation studies the new methodology exhibited only a minor loss of efficiency. Finally, the new and the posterior probability-based methods are compared in an analysis of mobility/exercise.     

The relationship of borderline personality disorder, life events and functioning in an Australian psychiatric sample

Studies have documented poor functioning and higher rates of negative life events in association with personality disorders (PDs), in particular with borderline personality disorder (BPD). The current study investigated the impact of recent life events, daily hassles and uplifts on psychosocial functioning in patients with PDs, while extending previous research by examining the role of perceived coping effectiveness and perceived stress of recent life events. Ninety-seven participants (Axis I group, N = 30; BPD group, N = 23; Other PD group, N = 44) completed measures of functioning, recent life events, daily hassles and uplifts. Results indicated that the BPD group reported the poorest levels of functioning, especially interpersonal functioning. The BPD group also reported more negative life events, particularly in the interpersonal relationships, personal health, crime, and financial domains. The BPD group experienced less uplifts, more hassles and found employment circumstances particularly stressful and difficult to cope with. Intensity of hassles was a predictor of functioning independent of a BPD diagnosis. A greater frequency of life events was closely associated with a non-BPD diagnosis in predicting a decrease in psychosocial functioning.     

A comparison of four approaches to account for method effects in latent state-trait analyses

Latent state-trait (LST) analysis is frequently applied in psychological research to determine the degree to which observed scores reflect stable person-specific effects, effects of situations and/or person-situation interactions, and random measurement error. Most LST applications use multiple repeatedly measured observed variables as indicators of latent trait and latent state residual factors. In practice, such indicators often show shared indicator-specific (or method) variance over time. In this article, the authors compare 4 approaches to account for such method effects in LST models and discuss the strengths and weaknesses of each approach based on theoretical considerations, simulations, and applications to actual data sets. The simulation study revealed that the LST model with indicator-specific traits (Eid, 1996) and the LST model with M - 1 correlated method factors (Eid, Schneider, & Schwenkmezger, 1999) performed well, whereas the model with M orthogonal method factors used in the early work of Steyer, Ferring, and Schmitt (1992) and the correlated uniqueness approach (Kenny, 1976) showed limitations under conditions of either low or high method-specificity. Recommendations for the choice of an appropriate model are provided.     

Stress and mood: the moderating role of activity inhibition

The present research tested the hypothesis that activity inhibition (as measured by the picture story exercise) moderates the relationship between stress and mood. Based on prior research that shows that (a) individuals high in activity inhibition restrain emotional and motivational impulses and (b) inhibiting negative emotion may lead to further emotional impairments, we assumed that individuals high in activity inhibition show evidence of increased negative mood when they are confronted with stressful events. Study 1 found evidence of increased negative mood-relevant thought among individuals high in activity inhibition who were confronted with the threat of social rejection. Study 2 found high negative mood among individuals high in activity inhibition who experienced many daily hassles. Also, participants high in activity inhibition reported a disproportionally higher amount of daily hassles in the middle (but not at the beginning) of a university semester. We suggest that this pattern of results can be accounted for by Wegner's (1994) theory of ironic effects of the suppression of thought and emotion.     

The Role of ADHD and Negative Emotional Lability in Predicting Changes in Parenting Daily Hassles

The present study examined the extent to which children’s negative emotional lability (measured via ecological momentary assessment—EMA) and ADHD diagnostic status predicted changes in the frequency of daily parenting hassles and the stress resulting from daily hassles at one-week follow-up when controlling for baseline parenting hassles. Parents of 84 children 8–12 years-old (47 with ADHD, 37 without ADHD) completed a measure of parenting daily hassles at baseline and follow-up and participated in EMA assessment protocol ratings of their child’s mood (3-times daily) for one week. Analyses of covariance indicated that parents of children with ADHD reported significantly greater frequency of daily parenting hassles and intensity of parenting stress resulting from daily hassles than parents of children without ADHD at baseline and follow-up. Hierarchical regression analyses suggested that children’s negative emotional lability was a significant predictor of the intensity of parenting stress resulting from daily hassles, but not the frequency of daily parenting hassles. There was also an interaction of ADHD diagnostic status and greater EMA-derived negative emotional lability in the prediction of the frequency of daily parenting hassles due to children’s challenging behaviors. Specifically, greater negative emotional lability predicted more frequent daily parenting hassles due to children’s challenging behaviors among parents of children without ADHD but not among parents of children with ADHD. Overall, this study suggests that children’s negative emotional lability is a significant predictor of aspects of daily parenting hassles across parents of children with and without ADHD.     

Social support, stress, and depressive symptoms among the elderly: test of a process model.

Effects of social support, negative life events, and daily hassles on depressive symptoms were assessed in 301 adults aged 65 or older, in person 3 times at 6-month intervals and by mail questionnaires every month over a 12-month period. Initial social support predicted severity of depressive symptoms 12 months later. Social support and initial levels of depressive symptomatology predicted number of daily hassles but not number of major life events. Effects of social support, depression, and major life events on the incidence of daily hassles remained significant without the inclusion of hassles reflecting depressive symptomatology or problems in relationships or whose content overlapped with major life events. Daily hassles mediated the effects of major life events on subsequent depression. Results did not differ for men and women. Implications for models of the relations among social support, stress, and depression are discussed.     

Empirical and conceptual problems with longitudinal trait-state models: introducing a trait-state-occasion model

The latent trait-state-error model (TSE) and the latent state-trait model with autoregression (LST-AR) represent creative structural equation methods for examining the longitudinal structure of psychological constructs. Application of these models has been somewhat limited by empirical or conceptual problems. In the present study, Monte Carlo analysis revealed that TSE models tend to generate improper solutions when N is too small, when waves are too few, and when occasion factor stability is either too large or too small. Mathematical analysis of the LST-AR model revealed its limitation to constructs that become more highly auto-correlated over time. The trait-state-occasion model has fewer empirical problems than does the TSE model and is more broadly applicable than is the LST-AR model.     

Permanency and ephemerality of psychological measures with application to organizational commitment

The constancy or change of an attribute is important to most substantive areas of psychology. During the past decade, 2 independent methodological schools have developed statistical models for the depiction of longitudinal research. One, which might be called the European school, has created latent state-trait models. Alternatively, the American school has formulated models that go by the rubric of latent curve analysis or latent growth models. In this article, the authors integrate both approaches into a detailed unified latent curve and latent state-trait model (LC-LSTM) that includes the significant features from both schools. From the LC-LSTM framework, the permanency and ephemerality of psychological measures are discussed and the concepts of stability and reliability are reformulated. In addition, a comprehensive illustration on organization commitment is presented.     

日常烦心事研究概况

日常烦心事是一种常见的日常压力源, 是压力研究的重要方面。目前主要使用量表法、访谈法和日记法来测量烦心事。个体的人格特征、性别、年龄以及事件特征等是日常烦心事产生的主要影响因素。日常烦心事引起消极情绪, 从而影响身体及心理健康, 目前日常烦心事对健康的作用机制存在两大模型: 一般模型和特定模型, 一般模型强调压力反应的一般性, 而特定模型则强调不同的压力源会引发不同的身心反应。未来研究在探讨日常烦心事的机制、结构和测量工具编制的同时, 还应特别重视日常烦心事的预防和疏解。     

Personality and Parenting: Exploring the Mediating Role of Transient Mood and Daily Hassles

ABSTRACT In order to explore the role that transient mood and daily hassles might play in mediating the impact of enduring personality on parenting, naturalistic home observations of mothering and fathering were conducted when firstborn sons were 15 and 21 months of age. Observationally based, behavioral ratings of mothering and fathering were related to three self-report personality scales (Agreeableness, Neuroticism, Extraversion), administered to parents when their children were 10 months of age, and to self-reports of transient mood (positive and negative) and daily hassles obtained prior to each observation of family interaction. Results indicated that (a) mothering was more consistently predicted by personality and mood/hassles than fathering; (b) Extraversion played a larger role in predicting fathering than mothering, with the reverse being true of Agreeableness; (c) Neuroticism was the most consistent predictor of men's and women's parenting; and (d) there was little support for affect-specific linkages between personality, mood/hassles, and parenting. Finally, some evidence of mediation by transient mood and daily hassles emerged, more consistently for mothers than fathers, though more strongly for fathers than mothers. These results are discussed in terms of the primacy of the role of parenting for men and women.     

The Consequences of Ignoring Variability in Measurement Occasions Within Data Collection Waves in Latent Growth Models

In longitudinal data collection, it is common that each wave of collection spans several months. However, researchers using latent growth models commonly ignore variability in data collection occasions within a wave. In this study, we investigated the consequences of ignoring within-wave variability in measurement occasions using a Monte Carlo simulation and an empirical study. The results of the simulation study showed that ignoring heterogeneity resulted in biased estimates for some parameters, especially when heterogeneity was large and assessment dates had a skewed distribution. Models constructed on person-specific time points yielded precise estimates and more adequate model fit. In the empirical study, we demonstrated different time coding strategies with a subsample taken from Early Childhood Longitudinal Study Kindergarten Cohort.     

Dark Storm Clouds and Rays of Sunshine: Profiles of Negative and Positive Rumination About Daily Hassles and Uplifts

Daily negative events (hassles) and positive events (uplifts) have an impact on our subjective well-being, and how we react to those events (e.g., negatively ruminating by reflecting on the difficulties that come with hassles, positively ruminating by reflecting on the good aspects of uplifts) often has additional influence. However, little is known about the use of positive and negative rumination in combination. Using data from 469 adults, we examined retrospective accounts of negative and positive rumination about specific hassles and uplifts in reference to a 24-h period. Although differences in rumination were not observed across various domains (e.g., work, family, health), profiles emerged in relation to valence. Specifically, we identified four profiles of rumination: Non-Ruminators (39 %), Multivalence Ruminators (10 %), Positive Ruminators (26 %) and Negative Ruminators (24 %). Neither age nor gender systematically related to rumination profile. We further examined whether the associations among hassles, uplifts and well-being outcomes differed across these profiles. Results suggested few differences in the structural relations across the profiles, although the strength of associations was stronger for Negative Ruminators than Positive Ruminators. Results are discussed in terms of the robustness of effects of hassles and uplifts on subjective well-being across individual difference variables.     

Latent Class Models for Diary Method Data: Parameter Estimation by Local Computations

The increasing use of diary methods calls for the development of appropriate statistical methods. For the resulting panel data, latent Markov models can be used to model both individual differences and temporal dynamics. The computational burden associated with these models can be overcome by exploiting the conditional independence relations implied by the model. This is done by associating a probabilistic model with a directed acyclic graph, and applying transformations to the graph. The structure of the transformed graph provides a factorization of the joint probability function of the manifest and latent variables, which is the basis of a modified and more efficient E-step of the EM algorithm. The usefulness of the approach is illustrated by estimating a latent Markov model involving a large number of measurement occasions and, subsequently, a hierarchical extension of the latent Markov model that allows for transitions at different levels. Furthermore, logistic regression techniques are used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Throughout, models are illustrated with an experience sampling methodology study on the course of emotions among anorectic patients. Frank Rijmen was partly supported by the Fund for Scientific Research Flanders (FWO).     

Activated or deactivated? Understanding how cognitive appraisals can drive emotional activation in the aftermath of daily work events

Introduction

Past research has highlighted the relevance of cognitive appraisals in the link events-emotions (e.g., appraisal of an event's importance and its pleasant or unpleasant valence). We hypothesized a 3-way interaction between affective events (hassles and uplifts), cognitive appraisals of importance and intrinsic pleasantness on emotional activation.

Extending exploratory diagnostic classification models: Inferring the effect of covariates

Diagnostic models provide a statistical framework for designing formative assessments by classifying student knowledge profiles according to a collection of fine-grained attributes. The context and ecosystem in which students learn may play an important role in skill mastery, and it is therefore important to develop methods for incorporating student covariates into diagnostic models. Including covariates may provide researchers and practitioners with the ability to evaluate novel interventions or understand the role of background knowledge in attribute mastery. Existing research is designed to include covariates in confirmatory diagnostic models, which are also known as restricted latent class models. We propose new methods for including covariates in exploratory RLCMs that jointly infer the latent structure and evaluate the role of covariates on performance and skill mastery. We present a novel Bayesian formulation and report a Markov chain Monte Carlo algorithm using a Metropolis-within-Gibbs algorithm for approximating the model parameter posterior distribution. We report Monte Carlo simulation evidence regarding the accuracy of our new methods and present results from an application that examines the role of student background knowledge on the mastery of a probability data set.     

Assessing the Robustness of Mixture Models to Measurement Noninvariance

Abstract

Recent work reframes direct effects of covariates on items in mixture models as differential item functioning (DIF) and shows that, when present in the data but omitted from the fitted latent class model, DIF can lead to overextraction of classes. However, less is known about the effects of DIF on model performance—including parameter bias, classification accuracy, and distortion of class-specific response profiles—once the correct number of classes is chosen. First, we replicate and extend prior findings relating DIF to class enumeration using a comprehensive simulation study. In a second simulation study using the same parameters, we show that, while the performance of LCA is robust to the misspecification of DIF effects, it is degraded when DIF is omitted entirely. Moreover, the robustness of LCA to omitted DIF differs widely based on the degree of class separation. Finally, simulation results are contextualized by an empirical example.     

Daily hassles,ethnic identity and psychological adjustment among Lebanese‐Canadians

Acculturation, as a process of cultural change, has been related to a number of consequences including psychological distress. While some research has demonstrated how post‐migration stressors influence the adjustment of immigrants, it has been proposed that daily hassles—irritants in daily interactions—such as minor chronic problems with the in‐group and the out‐group have an even greater impact on adjustment than major life events. Furthermore, research has shown that ethnic identification profiles and discrimination are two factors closely associated with adjustment among immigrant populations. This study was, therefore, meant to further investigate the relationships among ethnic identity, discrimination (personal and collective), and adjustment (self‐esteem and depression) through a model proposing daily hassles as a mediator among these factors. There were 100 first‐ and second‐generation Lebanese‐Canadians who participated in the study. They completed a questionnaire measuring ethnic identification to their in‐ and out‐group, discrimination, hassles experienced with their in‐ and out‐group, depression, and self‐esteem. Path analyses revealed the mediating role of daily hassles between identity and discrimination, on the one hand, and indices of depression and self‐esteem, on the other. The results also demonstrated that greater experienced personal discrimination was associated with higher levels of experienced out‐group hassles and more out‐group hassles related to lower levels of adjustment. Processes of identity revealed that a higher level of Lebanese identity was associated with less experienced in‐ and out‐group hassles, which positively related to better adjustment. However, Canadian identity directly and positively related to depression. These results are discussed, first, with respect to their implications for current theorizing regarding the process of acculturation. Daily hassles would indeed now stand as a key mediating factor in the explanation of adjustment among immigrants. Second, the findings are deemed to have practical implications in term of the direction of programmes aimed at alleviating acculturative stress.     

Individual differences,mood, and coping with Chronic pain in Rheumatoid Arthritis: a daily process analysis

This study examines individual differences in coping and associated health outcomes as they unfold across time. Twice daily for one week, 71 individuals with Rheumatoid Arthritis reported their pain, coping efforts, and negative mood via structured daily records. The five factor model of personality (neuroticism, extraversion, openness to experience, agreeableness, conscientiousness) and disease status were also assessed. Multi-level statistical models examining within and between person variability indicated significant temporal associations from coping to pain and bi-directional associations between mood and pain within days. Furthermore, findings suggest that coping use and coping effectiveness were moderated by personality. Implications for models of coping with chronic pain, as well as clinical applications, are discussed.