Modeling general and specific variance in multifaceted constructs: a comparison of the bifactor model to other approaches

This article recommends an alternative method for testing multifaceted constructs. Researchers often have to choose between two problematic approaches for analyzing multifaceted constructs: the total score approach and the individual score approach. Both approaches can result in conceptual ambiguity. The proposed bifactor model assesses simultaneously the general construct shared by the facets and the specific facets, over and above the general construct. We illustrate the bifactor model by examining the construct of Extraversion as measured by the Revised NEO Personality Inventory (NEO‐PI‐R; Costa & McCrae, 1992), with two college samples (N = 383 and 378). The analysis reveals that the facets of the NEO‐PI‐R Extraversion correlate with criteria in opposite directions after partialling out the general construct. The direction of gender differences also varies by facets. Bifactor models combine the advantages but avoid the drawbacks of the 2 existing methods and can lead to greater conceptual clarity.     

Profiles of anger control in second-grade children: examination of self-report, observational, and physiological components

The current study used latent profile analysis (LPA) to examine anger control in 257 second-grade children (∼8 years of age). Anger was induced through losing a game and prize to a confederate who cheated. Three components of anger control were assessed: self-report of awareness of anger, observed intensity of angry facial expressions, and skin conductance reactivity. These components served as indicators in an LPA conducted to determine whether distinct groups of children who differed in anger control profiles would emerge. Five groups were found: (a) Physiology-and-Expression Controllers (high self-report, low expression, low physiological arousal), (b) Expression-Only Controllers (high self-report, low expression, high physiological arousal), (c) Non-controllers (high self-report, high expression, medium physiological arousal), (d) Non-reactive (low self-report, low expression, low physiological arousal), and (e) Non-reporters (low self-report, medium expression, medium physiological arousal). These findings are discussed in terms of implications for the assessment of children’s anger control skills and intervention programs for children’s anger management.     

The Influence of Dysphoria on Reactivity to Naturalistic Fluctuations in Anger

Abstract We used an experience sampling methodology to explore the relationship between current symptoms of dysphoria and momentary mood fluctuations following everyday experiences of anger. Using PDA devices, participants rated their mood, ruminative cognitions, feelings of dependency, and stressful events 4 times per day for 1 week. We hypothesized and found that those higher in dysphoria would demonstrate a stronger link between anger and depressed mood than those who were lower in dysphoria. Those participants who reported higher initial dysphoria indicated more anger over the course of the week, a stronger within-person association between anger and depressed mood, and a slower recovery from anger experiences. Multilevel moderated mediation analyses indicated that the link between anger and depressed mood for those high in dysphoria is largely explained by a stronger carryover of anger from one assessment to the next and partially explained by greater increases in ruminative cognitions and feelings of dependency. The change in depressed mood appears to occur with increases in anger, specifically, and not other negative mood states. Our results extend previous research on the anger–depression relationship by investigating the short-term relationships between anger and depressed mood among those with varying levels of dysphoria.     

How to Assess a Model's Testability and Identifiability

Formal definitions are given of the following intuitive concepts: (a) A model is quantitatively testable if its predictions are highly precise and narrow. (b) A model is identifiable if the values of its parameters can be ascertained from empirical observations. (c) A model is redundant if the values of some parameters can be deduced from others or if the values of some observables can be deduced from others. Various rules of thumb for nonredundant models are examined. The Counting Rule states that a model is quantitatively testable if and only if it has fewer parameters than observables. This rule can be safely applied only to identifiable models. If a model is unidentifiable, one must apply a generalization of the Counting Rule known as the Jacobian Rule. This rule states that a model is quantitatively testable if and only if the maximum rank (i.e., the number of linearly independent columns) of its Jacobian matrix (i.e., the matrix of partial derivatives of the function that maps parameter values to the predicted values of observables) is smaller than the number of observables. The Identifiability Rule states that a model is identifiable if and only if the maximum rank of its Jacobian matrix equals the number of parameters. The conclusions provided by these rules are only presumptive. To reach definitive conclusions, additional analyses must be performed. To illustrate the foregoing, the quantitative testability and identifiability of linear models and of discrete-state models are analyzed. Copyright 2000 Academic Press.     

Religiousness and the trajectory of self-rated health across adulthood

This study evaluates the association of religiousness with the growth parameters characterizing changes in self-rated health during adulthood (ages 20-94 years). Even after controlling for health behaviors, social support/social activity, and four of the Big Five, women who were highly religious in 1940 had higher mean self-rated health throughout their lifespan, slower rates of linear decline, and less pronounced cascades than did less religious women. For men, the associations of religiousness with the growth parameters underlying self-rated health were negligible. Results indicate that the association of religiousness with women's self-rated health may persist after controlling for mundane mediators and that the association of religiousness and self-rated health is not an artifact of the association between religiousness and the Big Five.     

Two distinct emotional experiences in romantic relationships: effects of perceptions regarding approach of intimacy and avoidance of conflict

This study examined how perceived position and velocity regarding approach and avoidance in romantic relationships relate to affective experiences. The authors hypothesized that perceived progress toward intimacy would predict positive affect and that perceived movement toward conflict would predict anxious affect. Ninety-two romantic couples recorded perceived levels of, and perceived changes in, both intimacy and conflict twice daily throughout 10 consecutive days using electronic palm-top devices. Multilevel modeling demonstrated that perceived increase in intimacy related to positive affect above and beyond perceptions of intimacy, conflict, and changes in conflict, for both male and female partners. Perceived increase in conflict related to anxious affect above and beyond perceptions of conflict, intimacy, and changes in intimacy, but only among male partners. Findings support a dual-process view of these feelings in romantic relationships and suggest that increases in positive feelings in close relationships depend on enhancing intimacy rather than on decreasing conflict.     

The sounds of dominance.

A study was conducted to determine the effects of vocal cues on judgements of dominance in an interpersonal influence context. Physical measures of human vocal cues and participant ratings of dominance were obtained from videotapes of actors delivering short influence messages. After controlling for linguistic and visual content of messages, results indicated that mean amplitude and amplitude standard deviation were positively associated with dominance judgments, whereas speech rate was negatively associated with dominance judgments. An unexpected interaction revealed that mean fundamental frequency (F₀) was positively associated with dominance judgments for male speakers but not significantly associated with dominance judgments for female speakers. F₀ standard deviation was not significantly associated with dominance judgments. Results support the conclusion that dominance judgments are inferred from multiple sources of information and that some vocal markers of dominance are more influential than others.     

A Multilevel AR(1) Model: Allowing for Inter-Individual Differences in Trait-Scores,Inertia, and Innovation Variance

In this article we consider a multilevel first-order autoregressive [AR(1)] model with random intercepts, random autoregression, and random innovation variance (i.e., the level 1 residual variance). Including random innovation variance is an important extension of the multilevel AR(1) model for two reasons. First, between-person differences in innovation variance are important from a substantive point of view, in that they capture differences in sensitivity and/or exposure to unmeasured internal and external factors that influence the process. Second, using simulation methods we show that modeling the innovation variance as fixed across individuals, when it should be modeled as a random effect, leads to biased parameter estimates. Additionally, we use simulation methods to compare maximum likelihood estimation to Bayesian estimation of the multilevel AR(1) model and investigate the trade-off between the number of individuals and the number of time points. We provide an empirical illustration by applying the extended multilevel AR(1) model to daily positive affect ratings from 89 married women over the course of 42 consecutive days.     

Perceived partner support and psychosexual adjustment to breast cancer

Support from a partner can play a key role in a woman's emotional adjustment to breast cancer. However, little is known about the influence of partner behaviours on a woman's sexual adjustment. This study examined the prospective relationship between baseline levels of several types of perceived partner support (instrumental, informational, emotional and negative) and psychosexual adjustment (sexual functioning and relationship satisfaction) over the course of 12 months post-surgery in a sample of 130 women with breast cancer. Results indicated that perceptions of greater emotional and informational support from the partner at baseline were associated with less sexual difficulties among breast cancer patients concurrently and 6 months post-surgery. Baseline perceptions of greater emotional and instrumental support from a partner were associated with greater relationship satisfaction at all time points. Perceptions of informational support at baseline were related to greater concurrent relationship satisfaction. Baseline perceptions of negative partner support were related to less relationship satisfaction, but only concurrently. These findings suggest that the perception of a partner's provision of emotional, instrumental and informational support may each play a role in facilitating sexual adjustment and relationship satisfaction.     

Hypothalamo-Pituitary-Adrenocortical Regulation Following Lesions of the Central Nucleus of the Amygdala

Previous reports indicate that the central nucleus of the amygdala (CeA) stimulates adrenocorticotropin and corticosterone secretion, suggesting a role for this region in central hypothalamo-pituitary-adrenocortical (HPA) stress regulation. To evaluate this hypothesis, this study assessed the impact of CeA lesion on the response of hypophysiotrophic paraventricular nucleus (PVN) neurons to acute restraint and chronic unpredictable stress exposure. In contrast to previous reports, CeA lesions did not affect corticosterone or ACTH secretion induced by acute stress. Acute restraint increased PVN corticotropin releasing hormone (CRH) mRNA expression, increased the number of parvocellular PVN neurons expressing the co-secretagogue arginine vasopressin (AVP), and induced cFOS mRNA expression in the parvocellular PVN. However, there was no additional effect of CeA lesion on any measure of PVN activation. Chronic unpredictable stress exposure induced long-term activation of the HPA axis, noted by thymic involution, adrenal hypertrophy and increased PVN CRH mRNA expression. Stress-induced changes in thymus and adrenal weights were not affected by CeA lesion. Further, CeA lesion rats did not differ from controls in post-stress CRH mRNA expression. However, basal CRH mRNA expression was increased in the PVN of CeA rats, suggesting that the CeA plays a role in long-term inhibition of the PVN. The results of these studies are not consistent with the hypothesis that the CeA is necessary for stress-induced pituitary-adrenocortical activation. Rather, this region may play a stressor-specific modulatory role in regulation of HPA function.