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Results for “Structural equation modeling”

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PubMedDate not supplied

Substance use and delinquency during adolescence: a prospective look at an at-risk sample.

This paper focuses on the relationship between adolescent substance use and delinquent behavior in a sample of homeless young people. Confirmatory factor analyses indicated that delinquency and substance use are best described as discrete factors, and competing theoretical models of the longitudinal association between these two factors were examined using structural equations modeling techniques. The results suggest that delinquent behavior is associated with changes in alcohol, marijuana, and drug use across time. This effect was statistically significant over relatively brief lags in time of six months or less. Combined with previous results, these findings challenge the utility of single-factor explanations of adolescent deviance for at-risk populations and suggest that the relationship between substance use and externalizing across time may be more dynamic than previously thought. Implications for intervention are also discussed.

Adolescent↗

PubMed2000

A causal model of depression in early adolescents.

The purpose of this study was to test the extent to which a causal model developed from a theoretical formulation of depression was consistent with data obtained from early adolescents, age 12 to 14. In this cross-sectional correlational design, the final sample consisted of 225 adolescents who responded to a demographic data sheet and instruments measuring depression, self-esteem, state anxiety, and perceived stress in classrooms. The causal model was tested via the LISREL 7 program, using a maximum likelihood structural equation model. The results yielded a chi-square (1, N = 225) = .71, p = .401, indicating a good fit of the model to the data. Perceived stress had the strongest direct, indirect, and total effect on depression in early adolescents. Contrary to expectation, self-esteem did not have a direct effect on depression, and girls did not report higher levels of depression than did boys.

Adolescent↗

PubMed2005

Motivation and burnout among top amateur rugby players.

INTRODUCTION: Self-determination theory has proven to be a useful theoretical explanation of the occurrence of ill-being on a variety of accounts. Self-determination theory may also provide a useful explanation of the occurrence of athlete burnout. To date, limited evidence exists to support links between motivation and burnout. PURPOSE: To examine relationships and potential causal directions among burnout and types of motivation differing in degree of self-determination. METHOD: Data were collected on burnout using the Athlete Burnout Questionnaire and Sport Motivation Scale from 392 top amateur male rugby players. Structural equation modeling procedures were employed to evaluate a measurement model and three conceptually grounded structural models. One conceptual model specified concomitant (noncausal) relationships between burnout and motivations varying in self-determination. The other conceptual models specified causal pathways between burnout and the three motivation variables considered in the investigation (i.e., intrinsic motivation, external regulation, and amotivation). RESULTS: Within the models, amotivation, the least self-determined type of motivation, had a large positive association with burnout. Externally regulated motivation had trivial and nonsignificant relationships with burnout. Self-determined forms of motivation (i.e., intrinsic motivation) exhibited significant negative associations with burnout. CONCLUSIONS: Overall the results support the potential utility of a self-determination theory explanation of burnout. As all models displayed reasonable and comparable fits, further research is required to establish the nature (concomitant vs directional causal vs reciprocal causal) of the relationship between burnout and motivation.

Adolescent↗

PubMed2006

Understanding the motivational effects of procedural and informational justice in feedback processes.

Building upon traditional feedback models, this study examined the role of fair treatment in feedback contexts. Structural equation modelling using data from 236 undergraduate students highlighted perceived accuracy as a mediator in the credibility-motivation relationship as well as a relationship between accuracy and perceptions of procedural and informational justice. In addition, the results showed that the motivating effects of feedback accuracy partially occurred through procedural justice perceptions. Tests of an alternative model also demonstrated the interactive effects of credibility and accuracy on justice perceptions. Overall, this study provides insight into the role of fairness in appraisal processes, as well as how fairness might enhance recipients' reactions to appraisal and, subsequently, the effectiveness of appraisal systems.

Adult↗

PubMed1998

Development of a scale to measure adherence to self-monitoring of blood glucose with latent variable measurement.

OBJECTIVE: Adherence to self-monitoring of blood glucose (SMBG) is problematic for many people with diabetes. Self-reports of adherence have been found to be unreliable, and existing paper-and-pencil measures have limitations. This study developed a brief measure of SMBG adherence with good psychometric properties and a useful factor structure that can be used in research and in practice. RESEARCH DESIGN AND METHODS: A total of 216 adults with diabetes responded to 30 items rated on a 9-point Likert scale that asked about blood monitoring habits. In part I of the study, items were evaluated and retained based on their psychometric properties. The sample was divided into exploratory and confirmatory halves. Using the exploratory half, items with acceptable psychometric properties were subjected to a principal components analysis. In part II of the study, structural equation modeling was used to confirm the component solution with the entire sample. Structural modeling was also used to test the relationship between these components. It was hypothesized that the scale would produce four correlated factors. RESULTS: Principal components analysis suggested a two-component solution, and confirmatory factor analysis confirmed this solution. The first factor measures the degree to which patients rely on others to help them test and thus was named "social influence." The second component measures the degree to which patients use physical symptoms of blood glucose levels to help them test and thus was named "physical influence." Results of the structural model show that the components are correlated and make up the higher-order latent variable adherence. CONCLUSIONS: The resulting 15-item scale provides a short, reliable way to assess patient adherence to SMBG. Despite the existence of several aspects of adherence, this study indicates that the construct consists of only two components. This scale is an improvement on previous measures of adherence because of its good psychometric properties, its interpretable factor structure, and its rigorous empirical development.

Adult↗

PubMed2004

[Determinant factors of community-based disaster preparedness: a case study of flood prone area].

This study examined the determinants of willingness to participate in a community-based disaster preparedness scheme. The theory of reasoned action (Ajzen & Fishbein, 1977, 1980; Fishbein & Ajzen, 1975) was applied as a basic model and was complemented by the factor of concern about disaster. A structural equation modeling was performed to validate this model. The hypothetical model was supported for the data from the residents (N = 3 036) of an area with a high risk of flood damage. It was clarified that the subjective norm and concern about flood positively contributed to the intention of participating in a community-based disaster preparedness scheme. The perceived cost of preparedness was the inhibitory factor of participating in such a scheme.

Adult↗

PubMed1995

Elderly mothers caring at home for offspring with mental retardation: a model of permanency planning.

A theoretical model of permanency planning based on the double ABCX model of family stress and adaptation (McCubbin & Patterson, 1982) was tested using structural equation modeling. We interviewed 235 mothers, ages 58 to 96, who cared for adult offspring with mental retardation at home. Four variables were confirmed to directly influence their stage of planning: use of services for offspring, non-use of avoidance coping, the self-perception of being adversely affected by age-related changes, and help from offspring without mental retardation. Variables found to affect planning indirectly were perceived need for services, mothers' subjective burden, extent of caregiving tasks, offsprings' disability, and mothers' disability.

Adaptation, Psychological↗

PubMed2006

Factorial structure of the parental bonding instrument (PBI) in Japan: a study of cultural, developmental, and gender influences.

This study explored the factorial structure of the Parental Bonding Instrument (PBI) in the Japanese population. Several differences between the structure model in the current study and Parker et al.'s original model were identified. We also examined the adaptability of the inventory to children currently being raised by parents. We also developed a structural equation model that takes into account the impacts of the respondents' generation and gender and the caregivers' gender. The cultural, developmental, generational, and gender influences on the factorial structure of the PBI as well as the implications for clinical settings were discussed.

Adolescent↗

PubMed1989

Robustness of a model of exercise.

A recent longitudinal study of exercise behavior was published in this journal. A structural equation model derived from the theory of reasoned action was evaluated and found to fit the data well. This paper presents further analysis of the data to determine the robustness of the results to modifications of the original model.

Computer Simulation↗

PubMed2001

The structure and stability of common mental disorders: the NEMESIS study.

BACKGROUND: We analyzed the underlying latent structure of 12-month DSM-III-R diagnoses of 9 common disorders for the general population in the Netherlands. In addition, we sought to establish (1) the stability of the latent structure underlying mental disorders across a 1-year period (structural stability) and (2) the stability of individual differences in mental disorders at the level of the latent dimensions (differential stability). METHODS: Data were obtained from the first and second measurement of the Netherlands Mental Health Survey and Incidence Study (NEMESIS) (response rate at baseline: 69.7%, n = 7076; 1 year later, 79.4%, n = 5618). Nine common DSM-III-R diagnoses were assessed twice with the Composite International Diagnostic Interview with a time lapse of 1 year. Using structural equation modeling, the number of latent dimensions underlying these diagnoses was determined, and the structural and differential stability were assessed. RESULTS: A 3-dimensional model was established as having the best fit: a first dimension underlying substance use disorders (alcohol dependence, drug dependence); a second dimension for mood disorders (major depression, dysthymia), including generalized anxiety disorder; and a third dimension underlying anxiety disorders (simple phobia, social phobia, agoraphobia, and panic disorder). The structural stability of this model during a 1-year period was substantial, and the differential stability of the 3 latent dimensions was considerable. CONCLUSIONS: Our results confirm the 3-dimensional model for 12-month prevalence of mental disorders. Results underline the argument for focusing on core psychopathological processes rather than on their manifestation as distinguished disorders in future population studies on common mental disorders.

Adult↗

PubMed2000

Likelihood of undergoing genetic testing for cancer risk: a population-based study.

BACKGROUND: Studies on public perceptions of genetic susceptibility testing for cancer risks are few and tend to focus on specific cancer risks of higher-risk populations, ignoring the general population and their perceived risk of getting any cancers. This study develops and tests a psychosocial model of the proximal and distal influences on likelihood of undergoing genetic susceptibility testing for cancer risk among a population-based sample. METHODS: The sample consisted of 622 adults aged 18-75 interviewed by telephone. The survey instrument included measures derived from the Health Belief Model and adaptations of existing measures from the literature. Data were analyzed using structural equation modeling techniques. RESULTS: The model suggested independent main effects for perceived benefits, perceived barriers, perceived susceptibility, and pessimism while simultaneously accounting for the effects of age, socioeconomic status, family history of cancer, and awareness of the existence of genetic susceptibility testing for cancer risk. The model explained 34% of the variance in likelihood. CONCLUSIONS: While perceived benefits, perceived barriers, perceived susceptibility, and pessimism may directly impact likelihood, they may also mediate the effects of age, socioeconomic status, family history of cancer, and awareness of cancer genetic susceptibility testing, on likelihood.

Adolescent↗

PubMed2006

Contribution of partner support in self-management of rheumatoid arthritis patients. An application of the theory of planned behavior.

The aim of this exploratory study was to test the applicability of a model derived from the Theory of Planned Behavior on self-management. In this model social support from the partner, attitude and self-efficacy are determinants of intention, and intention and self-efficacy are determinants of self-management. We tested the model on rheumatoid arthritis patients who have a partner, using regression analyses and structural equation models. Partner support and attitude partly explained the variance in intention. Intention in turn partly explained the variance in self-management. Self-efficacy showed a tendency to positively affect intention and self-management. The present study provided moderate support for the use of the constructs and ideas derived from the Theory of Planned Behavior-attitude, social support, self-efficacy, and intention-in predicting and explaining self-management.

Activities of Daily Living↗

PubMed1995

A covariance structure analysis of flicker sensitivity.

We tested whether linear structural models of the mechanisms underlying flicker sensitivity could reproduce the variance-covariance matrix of temporal contrast sensitivity data. Monocular sensitivities to frequencies between 2.5 and 45 Hz were measured for 124 subjects, ages 18-88 yr. Exploratory factor analyses revealed that both a two-mechanism and a three-mechanism model could adequately account for the data. Furthermore, confirmatory factor analyses and full structural equation models, using age as an explanatory variable, supported both models, with the three-factor model giving a somewhat better representation of the data. Parsimony favors the two-mechanism model. But patterns of loss associated with pre-exudative age-related maculopathy are more easily understood in terms of three underlying mechanisms.

Adolescent↗

PubMed1999

Age differences in the effects of network composition on psychological distress.

The main goal of this research is to better understand age differences in the effects of social networks on mental health. Using a social network approach to revise the convoy of social support model (Kahn and Antonucci, 1980), we examine specifically how two aspects of social support networks (kin composition and convoy dimensions) influence psychological distress for older and younger samples (18-59 and 60+). We hypothesize that kin composition will influence distress in general but especially for the younger sample, while two competing hypotheses for the convoy of social support model are tested. Using data from a three-wave panel health study, structural equation models (LISREL 8.20) indicate that a greater proportion of kin in the perceived support network and the presence of family members in the inner circle of the convoy significantly reduce distress, primarily for the younger sample. Implications for the convoy model are discussed.

Adolescent↗

PubMed2006

Random intercept item factor analysis.

The common factor model assumes that the linear coefficients (intercepts and factor loadings) linking the observed variables to the latent factors are fixed coefficients (i.e., common for all participants). When the observed variables are participants' observed responses to stimuli, such as their responses to the items of a questionnaire, the assumption of common linear coefficients may be too restrictive. For instance, this may occur if participants consistently use the response scale idiosyncratically. To account for this phenomenon, the authors partially relax the fixed coefficients assumption by allowing the intercepts in the factor model to change across participants. The model is attractive when m factors are expected on the basis of substantive theory but m + 1 factors are needed in practice to adequately reproduce the data. Also, this model for single-level data can be fitted with conventional software for structural equation modeling. The authors demonstrate the use of this model with an empirical data set on optimism in which they compare it with competing models such as the bifactor and the correlated trait-correlated method minus 1 models.

Factor Analysis, Statistical↗

PubMed1993

Does psychomotor sensitivity to alcohol predict subsequent alcohol use?

Data from 42 male and 58 female subjects who participated in the Colorado Alcohol Research on Twins and Adoptees (CARTA) project were subjected to model-fitting analyses. The aim of the present study was to use linear structural equation models to determine whether differences in previously measured psychomotor sensitivity to alcohol predict differences in self-reported alcohol consumption over a 4-year period. LISREL model-fitting results indicate that, for male subjects, only rail walking insensitivity is predictive of alcohol use reported 2 years after their initial CARTA testing. For females, only hand steadiness sensitivity is predictive of alcohol use reported 2 years after their initial CARTA testing. The results for males support a hypothesis that would consider alcohol insensitive individuals at greater risk for alcohol abuse. The female results, however, would argue against such a hypothesis. With only one measure of sensitivity predicting alcohol use at only one out of four time points, in both men and women, the overall results suggest that our three measures of psychomotor sensitivity to alcohol are, in general, poor predictors of alcohol consumption in this sample.

Adult↗

PubMed2000

A structural model for predicting mathematics achievement: its relation with anxiety and self-concept in mathematics.

This study proposed and tested a model of mathematics achievement and its relations to antecedent and subsequent factors using structural equations modeling. A sample of elementary school students in Al-Ain school district (n = 394) completed an Arabic version of the Self-description Questionnaire as well as a questionnaire measuring their perception of the importance of mathematics, anxiety about it, and the amount of effort they exerted in studying. Mathematics grades were obtained from the official school records. Importance and effort were positively related to achievement which in turn had a positive path coefficient to self-concept and a negative path to anxiety. The hypothesized model explained 40%, 64%, and 73% of the variance in achievement, self-concept, and anxiety, respectively. The results can be interpreted as indicating that achievement is an important outcome and antecedent construct within the proposed model.

Achievement↗

PubMed1996

Health downturns and predictors of suicidal ideation: an application of the Baumeister model.

Suicidal thoughts and attempts have been studied from a number of perspectives, but only recently has an attempt been made to incorporate many different psychological perspectives into one framework. Baumeister (1990) has integrated personality and social psychological perspectives into one sequential model, moving from instigating events to a final stage of suicidal thoughts. Employing a sample of older adult subjects undergoing the stresses of a recent health downturn, this study tested a four-stage model of suicidal ideation based on many of the components proposed by Baumeister. Structural equation modeling achieved a good fit to the data. Results are discussed in terms of the importance of including life events, particularly poor health, and cognitive variables such as confusions in thinking, in understanding suicidal ideation.

Aged↗