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1.
As useful multivariate techniques, structural equation models have attracted significant attention from various fields. Most existing statistical methods and software for analyzing structural equation models have been developed based on the assumption that the response variables are normally distributed. Several recently developed methods can partially address violations of this assumption, but still encounter difficulties in analyzing highly nonnormal data. Moreover, the presence of missing data is a practical issue in substantive research. Simply ignoring missing data or improperly treating nonignorable missingness as ignorable could seriously distort statistical influence results. The main objective of this article is to develop a Bayesian approach for analyzing transformation structural equation models with highly nonnormal and missing data. Different types of missingness are discussed and selected via the deviance information criterion. The empirical performance of our method is examined via simulation studies. Application to a study concerning people’s job satisfaction, home life, and work attitude is presented. 相似文献
2.
From the time of William James, psychologists have posited individually importance-weighted-average models (IWAMs) in which weighting specific attributes by individual measures of importance improves prediction of the global outcome measures. Because IWAMs cause much confusion, we briefly review a general taxonomic paradigm and structural equation models for testing IWAMs, and demonstrate its application for 2 simulated and 3 diverse “real” data applications (multidimensional measures of self-concept, quality of life, and job satisfaction). Consistent across the real data applications and previous research more generally, there is surprisingly little support for IWAMs when tested appropriately. In these diverse tests of IWAMs we integrate new approaches such as exploratory structural equation modeling (SEM), alternative approaches to constructing latent interactions, application of bifactor models, modeling method and item-wording effects, and the juxtaposition of model evaluation in relation to goodness of fit (typically used in SEM studies) and variance explained (typically used in multiple regression tests of IWAMs). 相似文献
3.
Allan B. de Guzman Erika Largo Lillianne Mandap Virnalyn Mae Muñoz 《Educational gerontology》2013,39(10):767-782
Job satisfaction is a frequently studied topic among scholars, but only few have taken into account the job satisfaction of older workers. This study aims to develop a model that describes the mediating effect of happiness on job satisfaction specifically on a select group of aging Filipino workers. This paper utilized structural equation modeling (SEM) for its data analysis to test what impact happiness has on job satisfaction. Three hundred aging Filipino workers, both from public and private organizations in the Philippines, took part in this study by completing a five-part research tool that consists of a Robotfoto (a Dutch term that describes a photo-like picture drawn by police to describe a suspect from a witness's illustration) and adopted questionnaires for physical and mental well-being, employee recognition, happiness, and job satisfaction. The structural equation model revealed that physical and mental well-being and employee recognition significantly affect—and are predictors of—happiness. Moreover, it was found that happiness has an impact on the job satisfaction of older workers. Findings generated in this study cater relevant ideas in developing programs and practices for the aging workforce in the field of Human Resource Management. 相似文献
4.
The purpose of this simulation study was to assess the performance of latent variable models that take into account the complex sampling mechanism that often underlies data used in educational, psychological, and other social science research. Analyses were conducted using the multiple indicator multiple cause (MIMIC) model, which is a flexible and effective tool for relating observed and latent variables. The data were simulated in a hierarchical framework (e.g., individuals nested in schools) so that a multilevel modeling approach would be appropriate. Analyses were conducted accounting for and not accounting for the nested data to determine the impact of ignoring such multilevel data structures in full structural equation models. Results highlight the differences in modeling results when the analytic strategy is congruent with the data structure and what occurs when this congruency is absent. Type I error rates and power for the standard and multilevel methods were similar for within-cluster variables and for the multilevel model with between-cluster variables. However, Type I error rates were inflated for the standard approach when modeling between-cluster variables. 相似文献
5.
Structural equation modeling is a common multivariate technique for the assessment of the interrelationships among latent variables. Structural equation models have been extensively applied to behavioral, medical, and social sciences. Basic structural equation models consist of a measurement equation for characterizing latent variables through multiple observed variables and a mean regression-type structural equation for investigating how explanatory latent variables influence outcomes of interest. However, the conventional structural equation does not provide a comprehensive analysis of the relationship between latent variables. In this article, we introduce the quantile regression method into structural equation models to assess the conditional quantile of the outcome latent variable given the explanatory latent variables and covariates. The estimation is conducted in a Bayesian framework with Markov Chain Monte Carlo algorithm. The posterior inference is performed with the help of asymmetric Laplace distribution. A simulation shows that the proposed method performs satisfactorily. An application to a study of chronic kidney disease is presented. 相似文献
6.
The school principal’s job is increasingly demanding and complex, but school principal well-being is understudied. Self-efficacy and job satisfaction are critical constructs for studying school principals’ well-being, and self-efficacy is a core predictor of job satisfaction. Cross-sectional research typically assumes a unidirectional ordering; self-efficacy predicts (and leads to) job satisfaction, not the reverse. However, this unidirectional ordering is inconsistent with theoretical models positing a bidirectional (reciprocal) ordering. Furthermore, the assumption is largely untested with appropriate longitudinal data and statistical models. We evaluated the directional ordering of job satisfaction and self-efficacy for a large (N = 5663), nationally representative, longitudinal (nine annual waves) sample of Australian school leaders. Job satisfaction and self-efficacy were moderately correlated within waves and over time. Consistently with theoretical models and a priori predictions, the two constructs were reciprocally related over time; prior measures of each had small statistically positive effects on subsequent measures of the other, with no evidence of directional predominance of one over the other. Support for reciprocal effects was remarkably consistent across competing cross-lag-panel models, multiple tests of the consistency of effects over time (measurement invariance and stationarity), control for covariates, and the addition of lag-2 paths. Methodologically, we critique competing models that estimate cross-lagged effects and evaluate directional ordering from within- and between-person perspectives. We demonstrate the value of both approaches in achieving a robust framework for assessing longitudinal panel models.. Our substantive-methodological synergy has important substantive implications for theory, policy, and practice—showing that school-leader job satisfaction and self-efficacy are mutually reinforcing. 相似文献
7.
The purpose of this study, in part, was to confirm the factor structure of the School-Level Environment Questionnaire, which assesses six school climate factors that can be considered important for improving schools. The study also tested a research model of the relationships between the school climate, teachers’ self-efficacy and job satisfaction. The participants included 781 Western Australian high-school teachers in 29 schools. When the data were analysed by means of structural equation modelling, teacher self-efficacy and teacher job satisfaction were both related to school climate dimensions and there was also a relationship between teacher self-efficacy and job satisfaction. These results provide practical information for improving school climate and suggest that it is worthwhile for school principals to consider factors within the school climate and how they might be enhanced. 相似文献
8.
吴兴华 《湖南广播电视大学学报》2014,(2):1-3
如何度量网上学习的满意度水平,已成为开放大学建设过程中亟待解决的问题。本文将结构方程模型方法应用于开放大学满意度研究,构建了满意度模型,利用结构方程分析软件对学生网上学习数据进行了模型验证分析和路径分析,研究潜变量及各变量间的相关性,并依据实证分析得出研究结论,提出改进建议。 相似文献
9.
Principals’ self-efficacy: relations with job autonomy, job satisfaction, and contextual constraints
The purpose of the present study was to explore relations between principals’ self-efficacy, perceived job autonomy, job satisfaction, and perceived contextual constraints to autonomy. Principal self-efficacy was measured by a multidimensional scale called the Norwegian Principal Self-Efficacy Scale. Job autonomy, job satisfaction, and contextual constraints to autonomy were measured by three scales developed for the purpose of this study. Perceived contextual constraints to autonomy were comprised of financial and administrative constraints, employee participation, municipal authority, and national evaluation programs. Participants in the study were 1,818 principals from the population of Norwegian principals. Data were collected by means of an electronic questionnaire. A theoretical model was tested by means of SEM analysis for latent variables using the AMOS 18 program. The model had acceptable fit to data. The results revealed a positive relation between principal self-efficacy and perceived job autonomy. Principal self-efficacy and perceived job autonomy were positively related to job satisfaction and negatively related to contextual constraints. Contextual constraints to autonomy were negatively related to job satisfaction. The present study highlights important relations between principals’ self-efficacy, perceived job autonomy, job satisfaction, and contextual constraints to autonomy. The results of the study are discussed together with limitations and suggestions for further research. 相似文献
10.
The purpose of this study is to examine the impact of perceived brand orientation, intercultural friendship, and university reputation on international students’ course satisfaction and continuance behavioral intention towards the higher education in Malaysia. A total of 348 questionnaires, administered on international students, were collected to empirically test the research model using partial least squares path modeling approach, a structural equation modeling technique for the assessment of measurement and structural model. The empirical results imply that perceived brand orientation and university reputation positively influence course satisfaction and course continuance behavioral intention, while intercultural friendships influences course continuance intention but not course satisfaction. The implications and limitations of research are discussed in the following sections. 相似文献
11.
《Learning and Instruction》2006,16(4):323-338
The focus of the present study is on students' experiences of enjoyment, an emotion largely neglected in educational research. We present a model in which specific levels of generalization of the construct of enjoyment are differentiated. Based on their extent of generalization, these differentiated constructs of enjoyment are located in a hierarchical structure. Enjoyment of life is presented as most generalized and is consequently located at the highest level of the hierarchical structure, followed by students' enjoyment concerning their education, learning, and most specifically, their use of learning strategies. The hypotheses derived from this model were tested on longitudinal data from a sample of 513 German school students in grades 5–10. Results of structural equation modeling provide empirical support for the specific levels of generalization. The pattern of relations between students' experiences of enjoyment comprised a simplex-like (ordered correlation) structure as hypothesized in our theoretical model. Concerning the direction of causal flow between the constructs of enjoyment, longitudinal structural equation modeling indicated top-down effects of adjacent levels when controlling for horizontal effects. The enjoyment scales further showed clear linkages to learning behavior including self-regulated learning and creative problem solving. Methodological implications and directions for future research are discussed. 相似文献
12.
Hefei Liu 《Structural equation modeling》2018,25(1):41-55
Multivariate heterogenous data with latent variables are common in many fields such as biological, medical, behavioral, and social-psychological sciences. Mixture structural equation models are multivariate techniques used to examine heterogeneous interrelationships among latent variables. In the analysis of mixture models, determination of the number of mixture components is always an important and challenging issue. This article aims to develop a full Bayesian approach with the use of reversible jump Markov chain Monte Carlo method to analyze mixture structural equation models with an unknown number of components. The proposed procedure can simultaneously and efficiently select the number of mixture components and conduct parameter estimation. Simulation studies show the satisfactory empirical performance of the method. The proposed method is applied to study risk factors of osteoporotic fractures in older people. 相似文献
13.
The models presented here posit a complex relationship between efficacy in student engagement and intent-to-leave that is mediated by in-class variables of instructional management, student behavior stressors, aspects of burnout, and job satisfaction. Using data collected from 631 teachers, analyses provided support for the two models that predicted teachers' intent-to-leave. To enhance generalizability, this study also tested whether the structural coefficients were invariant across teacher gender and grade level. With one exception, the models appeared largely invariant across gender and grade level. Supplementing the structural models, measurement invariance and equality of latent factor means were also explored. 相似文献
14.
《Early childhood research quarterly》2002,17(3):295-317
A study of 143 families and their preschool-age children was undertaken to examine the relationship between the family environment and children’s language and literacy skills. This research was guided by three models hypothesized by Snow, Barnes, Chandler, Goodman, and Hemphill (1991) to explain the family’s contribution to children’s acquisition of language and literacy. The three theoretical models examined in this study were: Family as Educator, Resilient Family, and Parent–Child Care Partnership. Confirmatory factor analysis (CFA) and structural equation modeling were used to estimate latent constructs and structural models, respectively. Results showed that only the Family as Educator model was significantly related to child language and literacy outcomes (i.e., book-related knowledge, receptive language skills, and expressive language skills). Implications for future researchers and educational practice are discussed. 相似文献
15.
Jiri Mudrak Katerina Zabrodska Petr Kveton Martin Jelinek Marek Blatny Iva Solcova Katerina Machovcova 《Research in higher education》2018,59(3):325-348
The effects of changing academic environments on faculty well-being have attracted considerable research attention. However, few studies have examined the multifaceted relationships between the academic work environment and the multiple dimensions of faculty well-being using a comprehensive theoretical framework. To address this gap, this study implemented the Job Demands-Resources (JDR) model to investigate how job demands/resources in the academic environment interact with multiple dimensions of faculty well-being. The study participants were 1389 full-time faculty members employed in public universities in the Czech Republic. The participants completed a questionnaire assessing perceived job resources (influence over work, support from supervisor and colleagues), job demands (quantitative demands, work-family conflicts and job insecurity) and three dimensions of faculty well-being (job satisfaction, stress and work engagement). A structural equation model was used to test the effects of “dual processes” hypothesized by the JDR theory, i.e., the existence of two relatively independent paths between job demands/resources and positive/negative aspects of faculty well-being. The model showed a very good fit to our data and explained 60% of the variance in faculty job satisfaction, 46%, in stress and 20% in work engagement. The results provide evidence for the dual processes, including the “motivational process” (i.e., job resources were related predominantly to work engagement and job satisfaction) and the “health impairment process” (i.e., job demands were predominantly associated with stress, mostly through work-family conflict). The study expands current research on faculty well-being by demonstrating the complex, non-linear relationships between academic work environments and different dimensions of faculty well-being. 相似文献
16.
This study examined the impact of job satisfaction and organizational commitment on teachers’ organizational citizenship behavior (OCB) in a structural equation model. The study was employed to a group of teachers and their supervisors. The results indicated that job satisfaction and commitment to the school had an impact on OCBs of the teachers and organizational commitment mediated the relation between job satisfaction and OCB. 相似文献
17.
Esther T. Canrinus Michelle Helms-Lorenz Douwe Beijaard Jaap Buitink Adriaan Hofman 《European Journal of Psychology of Education - EJPE》2012,27(1):115-132
This study investigates how relevant indicators of teachers’ sense of their professional identity (job satisfaction, occupational
commitment, self-efficacy and change in level of motivation) are related. A model is proposed, tested with structural equation
modelling (SEM) and refined using data from 1,214 Dutch teachers working in secondary education. Classroom self-efficacy and
relationship satisfaction play a key influencing role in the relationships between the indicators. Using multiple-group SEM,
the parameters of the overall model are similar for the novice, experienced and senior teachers in a constrained model. This
aspect of similarity across experience groups is in line with findings of previous research on teachers’ professional identity.
The present study contributes to the further development of a solid theory on teachers’ professional identity, which has been
lacking. 相似文献
18.
《Structural equation modeling》2013,20(1):59-72
A non-arbitrary method for the identification and scale setting of latent variables in general structural equation modeling is introduced. This particular technique provides identical model fit as traditional methods (e.g., the marker variable method), but it allows one to estimate the latent parameters in a nonarbitrary metric that reflects the metric of the measured indicators. This technique, therefore, is particularly useful for mean and covariance structures (MACS) analyses, where the means of the indicators and latent constructs are of key interest. By introducing this alternative method of identification and scale setting, researchers are provided with an additional tool for conducting MACS analyses that provides a meaningful and nonarbitrary scale for the estimates of the latent variable parameters. Importantly, this tool can be used with single-group single-occasion models as well as with multiple-group models, multiple-occasion models, or both. 相似文献
19.
Elizabeth Bettini Yujeong Park Amber Benedict Jenna Kimerling Walter Leite 《Exceptionality》2016,24(3):176-193
This investigation examined relationships among special education teachers’ working conditions (e.g., classroom characteristics, administrative support), personal characteristics (e.g., experience, certification status, self-efficacy), instructional quality, and students with disabilities’ reading achievement and behavioral outcomes. Data from the 2004–2005 administration of the Special Education Elementary Longitudinal Study were used. Confirmatory factor analysis was used to test the fit of models for five latent factors. Hybrid structural models were applied to test the hypothesis that working conditions would be positively associated with special education teachers’ self-efficacy and their instructional quality, which would, in turn, be positively associated with their students’ reading achievement and behavioral outcomes. Although the initial structural equation model tested failed to support the hypotheses, several significant relationships with theoretical and practical significance were discovered. Directions for future research and practical implications are discussed. 相似文献
20.
侯宝柱;贺灵敏;王树明 《河北北方学院学报(社会科学版)》2013,(3):54-59
以公众满意度理论为基础,依据城镇居民需求,构建以制度环境、智慧文化、公众期望、质量感知及公众满意度为潜在变量的城镇智慧化服务满意度测评概念模型,进而建立9个研究假设和19个观测指标。选取广东乐从镇为研究对象,运用结构方程分析法对该模型进行验证。结果表明,制度环境、智慧文化、公众期望和质量感知都是影响公众满意度的重要因素,且每个潜在变量的影响强度和影响路径不同,进而提出了健全制度体系、营造文化氛围与提高公众期望值和质量感知效果等提升服务满意度的建议。 相似文献