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Structural Equation Models (structural + equation_models)
Selected AbstractsComparing Structural Equation Models That Use Different Measures of the Level of Response to AlcoholALCOHOLISM, Issue 5 2010Marc A. Schuckit Background:, The two measures of a low level of response (LR) to alcohol, an alcohol challenge and the retrospective Self-Report of the Effects of Alcohol questionnaire (SRE), each identify individuals at high risk for heavy drinking and alcohol problems. These measures also perform similarly in identifying subjects with unique functional brain imaging characteristics. However, few data are available regarding whether alcohol challenge-based and SRE-based LRs operate similarly in structural equation models (SEMs) that search for characteristics, which help to mediate how LR impacts alcohol outcomes. Methods:, Two hundred and ninety-four men from the San Diego Prospective Study were evaluated for their LR to alcohol using alcohol challenges at ,age 20. At ,age 35, the same subjects filled out the SRE regarding the number of drinks needed for effects 15 to 20 years earlier. The two different LR scores for these men were used in SEM analyses evaluating how LR relates to future heavy drinking and to drinking in peers (PEER), alcohol expectancies (EXPECT), and drinking to cope (COPE) as potential mediators of the LR to drinking pattern (ALCOUT) relationships. Results:, While the 2 LR measures that were determined 15 years apart related to each other at a modest level (r = 0.17, p < 0.01), the SEM results were similar regardless of the LR source. In both alcohol challenge-based and SRE-based LR models, LR related directly to ALCOUT, with partial mediation from PEER and COPE, but not through EXPECT in these 35-year-old men. Conclusions:, Consistent with the >60% overlap in prediction of outcomes for the 2 LR measures, and with results from functional brain imaging, alcohol challenge- and SRE-based LR values operated similarly in SEM models in these men. [source] Residual-Based Diagnostics for Structural Equation ModelsBIOMETRICS, Issue 1 2009B. N. Sánchez Summary Classical diagnostics for structural equation models are based on aggregate forms of the data and are ill suited for checking distributional or linearity assumptions. We extend recently developed goodness-of-fit tests for correlated data based on subject-specific residuals to structural equation models with latent variables. The proposed tests lend themselves to graphical displays and are designed to detect misspecified distributional or linearity assumptions. To complement graphical displays, test statistics are defined; the null distributions of the test statistics are approximated using computationally efficient simulation techniques. The properties of the proposed tests are examined via simulation studies. We illustrate the methods using data from a study of in utero lead exposure. [source] Factorial Invariance Within Longitudinal Structural Equation Models: Measuring the Same Construct Across TimeCHILD DEVELOPMENT PERSPECTIVES, Issue 1 2010Keith F. Widaman Abstract, Charting change in behavior as a function of age and investigating longitudinal relations among constructs are primary goals of developmental research. Traditionally, researchers rely on a single measure (e.g., scale score) for a given construct for each person at each occasion of measurement, assuming that measure reflects the same construct at each occasion. With multiple indicators of a latent construct at each time of measurement, the researcher can evaluate whether factorial invariance holds. If factorial invariance constraints are satisfied, latent variable scores at each time of measurement are on the same metric and stronger conclusions are warranted. This article discusses factorial invariance in longitudinal studies, contrasting analytic approaches and highlighting strengths of the multiple-indicator approach to modeling developmental processes. [source] A STRUCTURAL EQUATION MODELING OF ALCOHOL USE AMONG YOUNG ADULTS IN THE U.S. MILITARY: COMPLEXITIES AMONG STRESS, DRINKING MOTIVES, IMPULSIVITIY, ALCOHOL USE AND JOB PERFORMANCEALCOHOLISM, Issue 2008Sunju Sohn Aims:, Young male adults in the U. S. military drink at much higher rates than civilians and females of the same age. Drinking has been shown to be associated with stress and individuals' ability to effectively cope with stressors. Despite numerous studies conducted on young adults' drinking behaviors such as college drinking, current literature is limited in fully understanding alcohol use patterns of the young military population. The aim of the present study was to develop and test the hypothesized Structural Equation Model (SEM) of alcohol use to determine if stress coping styles moderate the relationship between stress, drinking motives, impulsivity, alcohol consumption and job performance. Methods:, Structural equation models for multiple group comparisons were estimated based on a sample of 1,715 young (aged 18 to 25) male military personnel using the 2005 Department of Defense Survey of Health Related Behaviors among Military Personnel. Coping style was used as the grouping factor in the multi-group analysis and this variable was developed through numerous steps to reflect positive and negative behaviors of coping. The equivalences of the structural relations between the study variables were then compared across two groups at a time, controlling for installation region, race/ethnicity, marital status, education, and pay grade, resulting in two model comparisons with four coping groups. If the structural weight showed differences across groups, each parameter was constrained and tested one at a time to see where the models are different. Results:, The results showed that the hypothesized model applies across all groups. The structural weights revealed that a moderation effect exists between a group whose tendency is to mostly use positive coping strategies and a group whose tendency is to mostly use negative coping strategies (,,2(39)= 65.116, p<.05). More specifically, the models were different (with and without Bonferroni Type I error correction) in the paths between "motive and alcohol use" and "alcohol use and alcohol-related consequences (job performance)." Conclusions:, It seems plausible that coping style significantly factors into moderating alcohol use among young male military personnel who reportedly drink more excessively than civilians of the same age. The results indicate that it may be particularly important for the military to assess different stress coping styles ofyoung male military personnel so as to limit excessive drinking as well as to promote individual wellness and improve job performance. [source] The Relations of Parenting, Effortful Control, and Ego Control to Children's Emotional ExpressivityCHILD DEVELOPMENT, Issue 3 2003Nancy Eisenberg The relations of observed parental warmth and positive expressivity and children's effortful control and ego control with children's high versus low emotional expressivity were examined in a 2-wave study of 180 children (M age = 112.8 months). There were quadratic relations between adults' reports of children's emotional expressivity and effortful control; moderate expressivity was associated with high effortful control. Structural equation models supported the hypothesis that children's ego overcontrol (versus undercontrol) mediated the relation between parental warmth or positive expressivity and children's emotional expressivity, although parenting at the follow-up did not uniquely predict in children's expressivity after controlling for the relations in these constructs over time. The alternative hypothesis that children's ego overcontrol elicited positive parenting and expressivity also was supported. [source] Intergenerational linkages in antisocial behaviourCRIMINAL BEHAVIOUR AND MENTAL HEALTH, Issue 2 2009Terence P. Thornberry Background,A life-course perspective was used to examine whether a parent's adolescent antisocial behaviour increases the chances of his or her child being involved in antisocial behaviour and, if so, the extent to which different aspects of parenting mediate this relationship. Aim,It was hypothesised that there will be significant levels of intergenerational continuity in antisocial behaviour when parents have ongoing contact with the child, and that stress from parenting and ineffective parenting styles will mediate this relationship. Method,Longitudinal data from the Rochester Intergenerational Study were used to test these issues in structural equation models for fathers and for mothers. Results,Parental antisocial behaviour is significantly related to child antisocial behaviour for mothers and for fathers who have frequent contact with the child, but not for fathers with infrequent contact. For mothers, the impact of adolescent antisocial behaviour on the child's antisocial behaviour is primarily mediated through parenting stress and effective parenting. For high-contact fathers there are multiple mediating pathways that help explain the impact of their adolescent antisocial behaviour on their child's behaviour. Conclusions,The roots of antisocial behaviour extend back at least to the parent's adolescence, and parenting interventions need to consider these long-term processes. Copyright © 2009 John Wiley & Sons, Ltd. [source] Depression and obesity: do shared genes explain the relationship?DEPRESSION AND ANXIETY, Issue 9 2010Niloofar Afari Ph.D. Abstract Background: Studies have found a modest association between depression and obesity, especially in women. Given the substantial genetic contribution to both depression and obesity, we sought to determine whether shared genetic influences are responsible for the association between these two conditions. Methods: Data were obtained from 712 monozygotic and 281 dizygotic female twin pairs who are members of the community-based University of Washington Twin Registry. The presence of depression was determined by self-report of doctor-diagnosed depression. Obesity was defined as body mass index of ,30,kg/m2, based on self-reported height and weight. Generalized estimating regression models were used to assess the age-adjusted association between depression and obesity. Univariate and bivariate structural equation models estimated the components of variance attributable to genetic and environmental influences. Results: We found a modest phenotypic association between depression and obesity (odds ratio=1.6, 95% confidence interval=1.2,2.1). Additive genetic effects contributed substantially to depression (57%) and obesity (81%). The best-fitting bivariate model indicated that 12% of the genetic component of depression is shared with obesity. Conclusions: The association between depression and obesity in women may be in part due to shared genetic risk for both conditions. Future studies should examine the genetic, environmental, social, and cultural mechanisms underlying the relationship between this association. Depression and Anxiety, 2010. © 2010 Wiley-Liss, Inc. [source] Statistical methods for the evaluation of health effects of prenatal mercury exposureENVIRONMETRICS, Issue 2 2003Esben Budtz-Jřrgensen Abstract Environmental risk assessment based on epidemiological data puts stringent demands on the statistical procedures. First, convincing evidence has to be established that there is a risk at all. In practice this endeavor requires prudent use of the observational epidemiological information with delicate balancing between utilizing the information optimally but not over-interpreting it. If a case for an environmental risk has been made, the second challenge is to provide useful input that regulatory authorities can use to set standards. This article surveys some of these issues in the concrete case of neurobehavioral effects in Faroese children prenatally exposed to methylmercury. A selection of modern, appropriate methods has been applied in the analysis of this material that may be considered typical of environmental epidemiology today. In particular we emphasize the potential of structural equation models for improving standard multiple regression analysis of complex environmental epidemiology data. Copyright © 2003 John Wiley & Sons, Ltd. [source] Twenty-five strategies for improving the design, implementation and analysis of health services research related to alcohol and other drug abuse treatmentADDICTION, Issue 11s3 2000Michael L. Dennis While some aspects of addiction can be studied in laboratory or controlled settings, the study of long-term recovery management and the health services that support it requires going out into the community and dealing with populations and systems that are much more diverse and less under our control. This in turn raises many methodological challenges for the health service researchers studying alcohol and other drug abuse treatment. This paper identifies some of these challenges related to the design, measurement, implementation and effectiveness of health services research. It then recommends 25 strategies (and key primers) for addressing them: (1) identifying in advance all stakeholders and issues; (2) developing conceptual models of intervention and context; (3) identifying the population to whom the conclusions will be generalized; (4) matching the research design to the question; (5) conducting randomized experiments only when appropriate and necessary; (6) balancing methodological and treatment concerns; (7) prioritizing analysis plans and increasing design sensitivity, (8) combining qualitative and quantitative methods; (9) identifying the four basic types of measures needed; (10) identifying and using standardized measures; (11) carefully balancing measurement selection and modification; (12) developing and evaluating modified and new measures when necessary; (13) identifying and tracking major clinical subgroups; (14) measuring and analyzing the actual pattern of services received; (15) incorporating implementation checks into the design; (16) inc rporating baseline measures into the intervention; (17) monitoring implementation and dosage as a form of quality assurance; (18) developing procedures early to facilitate tracking and follow-up of study participants; (19) using more appropriate representations of the actual experiment; (20) using appropriate and sensitive standard deviation terms; (21) partialing out variance due to design or known sources prior to estimating experimental effect sizes; (22) using dimensional, interval and ratio measures to increase sensitivity to change; (23) using path or structural equation models; (24) integrating qualitative and quantitative analysis into reporting; and (25) using quasi-experiments, economic or organizational studies to answer other likely policy questions. Most of these strategies have been tried and tested in this and other areas, but are not widely used. Improving the state of the art of health services research and bridging the gap between research and practice do not depend upon using the most advanced methods, but rather upon using the most appropriate methods. [source] A stronger latent-variable methodology to actual,ideal discrepancyEUROPEAN JOURNAL OF PERSONALITY, Issue 7 2008L. Francesca Scalas Abstract We introduce a latent actual,ideal discrepancy (LAID) approach based on structural equation models (SEMs) with multiple indicators and empirically weighted variables. In Study 1, we demonstrate with simulated data, the superiority of a weighted approach to discrepancy in comparison to a classic unweighted one. In Study 2, we evaluate the effects of actual and ideal appearance on physical self-concept and self-esteem. Actual appearance contributes positively to physical self-concept and self-esteem, whereas ideal appearance contributes negatively. In support of multidimensional perspective, actual - and ideal -appearance effects on self-esteem are substantially,but not completely,mediated by physical self-concept. Whereas this pattern of results generalises across gender and age, multiple-group invariance tests show that the effect of actual appearance on physical self-concept is larger for women than for men. Copyright © 2008 John Wiley & Sons, Ltd. [source] A Structural Equation Approach to Models with Spatial DependenceGEOGRAPHICAL ANALYSIS, Issue 2 2008Johan H. L. Oud We introduce the class of structural equation models (SEMs) and corresponding estimation procedures into a spatial dependence framework. SEM allows both latent and observed variables within one and the same (causal) model. Compared with models with observed variables only, this feature makes it possible to obtain a closer correspondence between theory and empirics, to explicitly account for measurement errors, and to reduce multicollinearity. We extend the standard SEM maximum likelihood estimator to allow for spatial dependence and propose easily accessible SEM software like LISREL 8 and Mx. We present an illustration based on Anselin's Columbus, OH, crime data set. Furthermore, we combine the spatial lag model with the latent multiple-indicators,multiple-causes model and discuss estimation of this latent spatial lag model. We present an illustration based on the Anselin crime data set again. [source] Examining Adolescents' Responses to Antimarijuana PSAsHUMAN COMMUNICATION RESEARCH, Issue 3 2003Michael T. Stephenson The research reported here investigated sensation seeking as a moderating variable of 368 adolescents' reactions to antimarijuana public service announcements. Participants rated the perceived message sensation value of 3 antimarijuana TV ads, their processing of the consequences of marijuana use, their affective responses to the ads, and antimarijuana attitudes. Two structural equation models,1 for high sensation seekers and the other for low sensation seekers,revealed 2 very different styles of processing the ads. Specifically, antimarijuana attitudes for high sensation seekers were influenced directly and indirectly by sympathetic distress and directly by argument-based processing. In contrast, antimarijuana attitudes for low sensation seekers were influenced solely by argument-based processing. [source] Measuring customer value and satisfaction in services transactions, scale development, validation and cross-cultural comparisonINTERNATIONAL JOURNAL OF CONSUMER STUDIES, Issue 6 2007Frank Huber Abstract Customer value and customer satisfaction are pivotal but at the same time elusive concepts in services marketing theory. This paper focuses on discussing the relationship between these two concepts. We propose operationalization by developing and testing scales, especially operational indicators, for important dimensions and drivers of the services-value construct. A multitrait-multimethod design is used to test the robustness of the operationalization. Furthermore, a cross-cultural data set is used to explore country influences using confirmatory factor analysis and structural equation models. Results indicate that the measurement construct is robust and useful in country-comparative studies. [source] Social capital, safety concerns, parenting, and early adolescents' antisocial behaviorJOURNAL OF COMMUNITY PSYCHOLOGY, Issue 3 2010Alessio Vieno This study explores the relations between neighborhood social capital (neighbor support and social climate), safety concerns (fear of crime and concern for one's child), parenting (solicitation and support), and adolescent antisocial behavior in a sample of 952 parents (742 mothers) and 588 boys and 559 girls from five middle schools (sixth through eighth grades) in a midsize Italian city. In structural equation models, social capital is strongly and inversely related to safety concerns and positively related to parental support and solicitation. In turn, safety concerns are also positively related to parental support and solicitation. Social capital and safety concerns have indirect effects on children's antisocial behavior through their effects on parenting. Implications are discussed for parenting and community-based interventions to prevent or reduce youth antisocial behaviors. © 2010 Wiley Periodicals, Inc. [source] The Association Between Partner Enhancement and Self-Enhancement and Relationship Quality OutcomesJOURNAL OF MARRIAGE AND FAMILY, Issue 3 2009Dean M. Busby The purpose of this research was to understand in greater detail, using 2 samples (Study 1 N = 4,881 heterosexual couples; Study 2 N = 335 heterosexual couples who completed the Relationship Evaluation Questionnaire), how partner or self-enhancement patterns differentially influence relationship outcomes. A multivariate analysis of covariance was conducted comparing 4 outcome measures for different couple types in which individuals rated the partner higher, the same, or lower than they rated themselves on affability. Couples in which both individuals perceived themselves as more affable than the partner experienced poorer results on the relationship outcome measures, whereas couples in which both individuals perceived the partner's personality as more affable than their own experienced more positive relationship outcomes. Additional analyses with structural equation models demonstrated the consistent influence of enhancement measures on relationship outcomes for cross-sectional and longitudinal samples. [source] A Behavioral Genetic Analysis of the Relationship Between the Socialization Scale and Self-Reported DelinquencyJOURNAL OF PERSONALITY, Issue 1 2000Jeanette Taylor This investigation examined the genetic (A), and shared (C) and nonshared (E) environmental variance contributions to the relationship of self-reported delinquency (as measured by the "Delinquent Behavior Inventory" [DBI; Gibson, 1967]) to the Socialization (So) scale of the California Psychological Inventory using univariate and bivariate structural equation models. The scales were administered to 222 male (145 monozygotic; 77 dizygotic) and 159 female (107 monozygotic; 52 dizygotic) 16- to 18-year-old same-sex twin pairs. Principal components analysis with varimax rotation revealed three interpretable So factors representing family/home environment, self-concept, and behavioral control. Univariate modeling suggested sex differences in etiological influences associated with individual differences in most scales. The bivariate ACE model fit the data, suggesting that the covariance between the So scale and self-reported delinquency owes in part to shared etiological factors. [source] Comparing Structural Equation Models That Use Different Measures of the Level of Response to AlcoholALCOHOLISM, Issue 5 2010Marc A. Schuckit Background:, The two measures of a low level of response (LR) to alcohol, an alcohol challenge and the retrospective Self-Report of the Effects of Alcohol questionnaire (SRE), each identify individuals at high risk for heavy drinking and alcohol problems. These measures also perform similarly in identifying subjects with unique functional brain imaging characteristics. However, few data are available regarding whether alcohol challenge-based and SRE-based LRs operate similarly in structural equation models (SEMs) that search for characteristics, which help to mediate how LR impacts alcohol outcomes. Methods:, Two hundred and ninety-four men from the San Diego Prospective Study were evaluated for their LR to alcohol using alcohol challenges at ,age 20. At ,age 35, the same subjects filled out the SRE regarding the number of drinks needed for effects 15 to 20 years earlier. The two different LR scores for these men were used in SEM analyses evaluating how LR relates to future heavy drinking and to drinking in peers (PEER), alcohol expectancies (EXPECT), and drinking to cope (COPE) as potential mediators of the LR to drinking pattern (ALCOUT) relationships. Results:, While the 2 LR measures that were determined 15 years apart related to each other at a modest level (r = 0.17, p < 0.01), the SEM results were similar regardless of the LR source. In both alcohol challenge-based and SRE-based LR models, LR related directly to ALCOUT, with partial mediation from PEER and COPE, but not through EXPECT in these 35-year-old men. Conclusions:, Consistent with the >60% overlap in prediction of outcomes for the 2 LR measures, and with results from functional brain imaging, alcohol challenge- and SRE-based LR values operated similarly in SEM models in these men. [source] Modelling method effects as individual causal effectsJOURNAL OF THE ROYAL STATISTICAL SOCIETY: SERIES A (STATISTICS IN SOCIETY), Issue 1 2008Steffi Pohl Summary., Method effects often occur when different methods are used for measuring the same construct. We present a new approach for modelling this kind of phenomenon, consisting of a definition of method effects and a first model, the method effect model, that can be used for data analysis. This model may be applied to multitrait,multimethod data or to longitudinal data where the same construct is measured with at least two methods at all occasions. In this new approach, the definition of the method effects is based on the theory of individual causal effects by Neyman and Rubin. Method effects are accordingly conceptualized as the individual effects of applying measurement method j instead of k. They are modelled as latent difference scores in structural equation models. A reference method needs to be chosen against which all other methods are compared. The model fit is invariant to the choice of the reference method. The model allows the estimation of the average of the individual method effects, their variance, their correlation with the traits (and other latent variables) and the correlation of different method effects among each other. Furthermore, since the definition of the method effects is in line with the theory of causality, the method effects may (under certain conditions) be interpreted as causal effects of the method. The method effect model is compared with traditional multitrait,multimethod models. An example illustrates the application of the model to longitudinal data analysing the effect of negatively (such as ,feel bad') as compared with positively formulated items (such as ,feel good') measuring mood states. [source] Total imprecision of exposure biomarkers: implications for calculating exposure limitsAMERICAN JOURNAL OF INDUSTRIAL MEDICINE, Issue 10 2007Philippe Grandjean MD Abstract Background Assessment of the imprecision of exposure biomarkers usually focuses on laboratory performance only. Unrecognized imprecision leads to underestimation of the true toxicity of the exposure. We have assessed the total imprecision of exposure biomarkers and the implications for calculation of exposure limits. Methods In a birth cohort study, mercury concentrations in cord blood, cord tissue, and maternal hair were used as biomarkers of prenatal methylmercury exposure. We determined their mutual correlations and their associations with the child's neurobehavioral outcome variables at age 7 years. With at least three exposure parameters available, factor analysis and structural equation modeling could be applied to determine the total imprecision of each biomarker. The estimated imprecision was then applied to adjust benchmark dose calculations and the derived exposure limits. Results The exposure biomarkers correlated well with one another, but the cord blood mercury concentration showed the best associations with neurobehavioral deficits. Factor analysis and structural equation models showed a total imprecision of the cord-blood parameter of 25,30%, and almost twice as much for maternal hair. These imprecisions led to inflated benchmark dose levels. Adjusted calculations resulted in an exposure limit 50% below the level recommended by the U.S. National Research Council. Conclusions The biomarker imprecisions of 25,50% much exceeded normal laboratory variability. Such imprecision causes underestimation of dose-related toxicity and therefore must be considered in the data analysis and when deriving exposure limits. Future studies should ideally include at least three exposure parameters to allow independent assessment of total imprecision. Am. J. Ind. Med. 50:712,719, 2007. © 2007 Wiley-Liss, Inc. [source] Pathways Among Exposure to Violence, Maternal Depression, Family Structure, and Child Outcomes Through Parenting: A Multigroup AnalysisAMERICAN JOURNAL OF ORTHOPSYCHIATRY, Issue 3 2010T'Pring R. Westbrook The present study examined the impact of proximal (maternal depression, family structure) and distal (exposure to violence) risk factors on parenting characteristics (warmth, control), which were in turn hypothesized to affect child social-emotional functioning. Using the Family and Child Experiences Study (FACES) 2000 cohort, findings revealed that study variables were significant predictors of child social-emotional functioning. Despite limited significant pathways in the structural equation models, the cumulative effect of the variables resulted in models accounting for 21%,37% of the outcome. Multigroup analysis revealed that although the amount of variance explained varied, the model held across subgroups. Findings support theories such as the family stress model that suggest that family risk factors negatively influencing children's development through influencing parenting behaviors. Findings also support considering both warmth and control as key parenting dimensions. It may be impractical for practitioners to address the myriad of potential risks encountered by low-income families, but parents can be equipped with mental health services, parent education, and other assistance to help them maintain positive parenting practices in the face of challenges. [source] Paternal and Maternal Influences on Problem Behaviors Among Homeless and Runaway YouthAMERICAN JOURNAL OF ORTHOPSYCHIATRY, Issue 1 2009Judith A. Stein PhD Using an Attachment Theory conceptual framework, associations were investigated among positive paternal and maternal relationships, and recent problem behaviors among 501 currently homeless and runaway adolescents (253 males, 248 females). Homeless and runaway youth commonly exhibit problem behaviors such as substance use, various forms of delinquency and risky sex behaviors, and report more emotional distress than typical adolescents. Furthermore, attachments to their families are often strained. In structural equation models, positive paternal relationships significantly predicted less substance use and less criminal behavior, whereas maternal relationships did not have a significant effect on or association with either behavior. Positive maternal relationships predicted less survival sex behavior. Separate gender analyses indicated that among the females, a longer time away from home was significantly associated with a poorer paternal relationship, and more substance use and criminal behavior. Paternal relations, a neglected area of research and often not addressed in attachment theory, should be investigated further. Attachments, particularly to fathers, were protective against many deleterious behaviors. Building on relatively positive relations and attachments may foster family reunifications and beneficial outcomes for at-risk youth. [source] Depression in family caregivers of elders: A theoretical model of caregiver burden, sociotropy, and autonomy,RESEARCH IN NURSING & HEALTH, Issue 1 2010Michele C. Clark Abstract To test the diathesis-stress model for family caregivers, two structural equation models were developed to explain depression measured by the Center for Epidemiologic Studies Depression Scale. A cross-sectional convenience sample of 112 caregivers completed questionnaires to measure burden, personality traits, dysfunctional attitudes, and depression. The final model included direct paths from caregiver burden to autonomy and sociotropy, and indirect paths from burden to depression through sociotropy and autonomy. The final model fit adequately (,2 [224, N,=,112],=,308.60, p,<,.00; CFI,=,.951; RMSEA,=,.058). Levels of burden influenced caregiver depression scores. One pathway to depression was though the personality traits of sociotropy and autonomy; both had a larger influence on depression scores than burden alone. © 2009 Wiley Periodicals, Inc. Res Nurs Health 33:20,34, 2010 [source] ORIGINAL RESEARCH,EPIDEMIOLOGY: Effect of Sexual Function on Health-Related Quality of Life Mediated by Depressive Symptoms in Cardiac Rehabilitation.THE JOURNAL OF SEXUAL MEDICINE, Issue 6 2010Findings of the SPARK Project in 493 Patients ABSTRACT Introduction., Empirical evidence suggests associations between cardiovascular diseases, sexual functioning, depressive symptoms, and quality of life. However, to date, the interrelation of these constructs has not been examined simultaneously in a structural analysis. Aim., To estimate the prevalence of sexual disorders and depressive symptoms and to examine the association between sexual disorders, depressive symptoms, and quality of life in patients in the rehabilitation of cardiovascular disorders. Aim., A postal survey in five German inpatient rehabilitation centers for cardiovascular diseases was conducted. Prevalence of sexual disorders and depressive symptoms were assessed using psychometrically sound instruments. To analyze complex associations, structural equation modeling was used. Main Outcome Measures., For epidemiological questions, proportions with 95% confidence intervals were calculated. The strength of association in structural equation models was expressed as a standardized regression coefficient. Results., Data from 493 patients were analyzed (response rate 22.7%). At least moderate erectile dysfunction proved to be present in 20.3% of men. The prevalence of female sexual dysfunction lay at 43.1%. At least moderate depressive symptoms were present in 14.4% of men and 16.5% of women. A considerable association between sexual functioning and quality of life was found in both sexes, which was largely mediated by depressive symptoms. Major drawbacks of the study are imprecision of the estimates due to limited sample size and questionable generalizability of the findings due to possible self-selection bias. Conclusions., Considering the high prevalence of depressive symptoms and their role as a mediating factor between sexual functioning and quality of life, it is recommended to routinely screen for depression in men and women with cardiac disease. Kriston L, Günzler C, Agyemang A, Bengel J, and Berner MM. Effect of sexual function on health-related quality of life mediated by depressive symptoms in cardiac rehabilitation. Findings of the SPARK project in 493 patients. J Sex Med 2010;7:2044,2055. [source] Racial differences in the associations of neighborhood disadvantage, exposure to violence, and criminal recidivism among female juvenile offenders,BEHAVIORAL SCIENCES & THE LAW, Issue 4 2009Preeti Chauhan M.A. The current study examined the impact of exposure to violence and neighborhood disadvantage on criminal recidivism among Black (n,=,69) and White (n,=,53) female juvenile offenders. Participants were girls between the ages of 13 and 19 (M,=,16.8; SD,=,1.2) who were sentenced to secure custody. Using a multi-method research design, the study assessed neighborhood disadvantage through census level data, exposure to violence through self-report, and criminal recidivism through official records. Results indicated that Black girls were significantly more likely than White girls to live in disadvantaged neighborhoods, but both reported similar levels of parental physical abuse and witnessing neighborhood violence. In structural equation models, neighborhood disadvantage and witnessing neighborhood violence were indicative of future recidivism for the group as a whole. However, multiple group analyses indicated the existence of race specific pathways to recidivism. Witnessing neighborhood violence was associated with recidivism for Black girls while parental physical abuse was associated with recidivism for White girls. Results suggest that characteristics within the neighborhood play a considerable role in recidivism among female juvenile offenders generally and Black female juvenile offenders, specifically. Race specific risk models warrant further investigation, and may help lawmakers and clinicians in addressing racial disparities in the justice system. Copyright © 2009 John Wiley & Sons, Ltd. [source] Residual-Based Diagnostics for Structural Equation ModelsBIOMETRICS, Issue 1 2009B. N. Sánchez Summary Classical diagnostics for structural equation models are based on aggregate forms of the data and are ill suited for checking distributional or linearity assumptions. We extend recently developed goodness-of-fit tests for correlated data based on subject-specific residuals to structural equation models with latent variables. The proposed tests lend themselves to graphical displays and are designed to detect misspecified distributional or linearity assumptions. To complement graphical displays, test statistics are defined; the null distributions of the test statistics are approximated using computationally efficient simulation techniques. The properties of the proposed tests are examined via simulation studies. We illustrate the methods using data from a study of in utero lead exposure. [source] A Process Model of Attachment,Friend Linkages: Hostile Attribution Biases, Language Ability, and Mother,Child Affective Mutuality as Intervening MechanismsCHILD DEVELOPMENT, Issue 6 2008Nancy L. McElwain This study identified mechanisms through which child,mother attachment security at 36 months was associated with mother- and teacher-reported friendship quality at 3rd grade. Data from a subsample of 1,071 children (536 boys) participating in the National Institute of Child Health and Human Development Study of Early Child Care and Youth Development were used. Separate structural equation models were tested for mother and teacher reports of peer functioning. For both models, the total indirect effect between attachment security and friendship quality was significant. Tests of specific indirect effects indicated that attachment security was associated with friendship quality via greater mother,child affective mutuality and better language ability at 54 months and fewer hostile attributions (teacher model only) and greater peer competence at first grade. The findings highlight interpersonal and intrapersonal mechanisms of attachment,friend linkages. [source] Children's Insecure Representations of the Interparental Relationship and Their School Adjustment: The Mediating Role of Attention DifficultiesCHILD DEVELOPMENT, Issue 5 2008Patrick T. Davies This study examined the role of attention difficulties as a mediator of associations between children's insecure representations of the interparental relationship and their school adjustment in a sample of two hundred and sixteen 6-year-old children. Consistent with hypotheses, findings from structural equation models indicated that observer ratings of children's insecure representations of interparental relationships in a story completion task predicted computerized task assessments and parent reports of children's attention difficulties 1 year later. Children's attention difficulties, in turn, were associated with concurrent levels of school problems and increases in school problems over a 1-year period as indexed by teacher reports. Attention difficulties accounted for an average of 34% of the association between insecure internal representations and school problems. [source] The Relations of Effortful Control and Impulsivity to Children's Resiliency and AdjustmentCHILD DEVELOPMENT, Issue 1 2004Nancy Eisenberg The unique relations of effortful control and impulsivity to resiliency and adjustment were examined when children were 4.5 to 8 years old, and 2 years later. Parents and teachers reported on all constructs and children's attentional persistence was observed. In concurrent structural equation models, effortful control and impulsivity uniquely and directly predicted resiliency and externalizing problems and indirectly predicted internalizing problems (through resiliency). Teacher-reported anger moderated the relations of effortful control and impulsivity to externalizing problems. In the longitudinal model, all relations held at T2 except for the path from impulsivity to externalizing problems. Evidence of bidirectional effects also was obtained. The results indicate that effortful control and impulsivity are distinct constructs with some unique prediction of resiliency and adjustment. [source] | |||||||||||||||||||||||||||||||