Development Of Structural Equation Model Research Articles

A structural equation modeling approach for modeling variability as a latent variable.

Drawing upon recent developments in structural equation modeling, the current study presents an analytical framework for addressing research questions in which, rather than focusing on means, it is intraindividual (or intragroup) variability that is of direct research interest. Beyond merely serving as an alternative to existing multilevel modeling approaches, this framework allows for extensions to accommodate a variety of complex research scenarios by parameterizing variability as a latent variable that can in turn be embedded within a broader covariance and mean structure involving other observed and/or latent variables. The estimation procedures and parameter interpretation for the latent random variability models are discussed. The versatility of the proposed methods is demonstrated through four empirical examples. The Mplus, BUGS, and Stan model syntax for the illustrative examples are supplied to facilitate the application of the methods. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Development of Structural Equation Model for Travel Mode Choice Behaviour of Working Population in Thiruvananthapuram City

Development of Structural Equation Model for Travel Mode Choice Behaviour of Working Population in Thiruvananthapuram City

Model of Human Resources Management (HRM) Practices Factors Affecting Small and Medium Enterprises (SMEs) Performance

This paper presents a development of Structural Equation Model (SEM) that shows the relationship of human resource management (HRM) practices and the factors affecting the organizational performance of small and medium enterprises (SMEs) in UAE. The model comprises five independent constructs of HRM practices factors and one dependent construct of SME organizational performance. Constructs of Independent Variables (IV) contain 36 items/factors and the construct of the dependent variable (DV) contains ten items/factors. The data used to develop the model was gathered through a questionnaire survey amongst SMEs human resources personnel from several SMEs in UAE. A total of 226 questionnaire forms were collected and analysed with the response rate of 88.7%, which is considered a good representation of the sample size. The developed model was analysed and assessed with AMOS-SEM software at measurement and structural levels to ensure that both levels achieve the fitness criteria. After the structural model achieved the satisfactory level of goodness of fit. The model was evaluated using path analysis to determine the relationship between IV and DV. It was found that all the IVs are significant to DV. Hence, the model has demonstrated the multivariate relationship between the considered variables/factors related to the topic of this paper. The findings can assist the practitioners in SMEs organizations in planning and implementing.

Development of structural equation model for Lean Six Sigma system incorporated with sustainability considerations

PurposeThe study aims to describe the development of a structural measurement model using structural equation modeling technique to validate the association that exists between Lean Six Sigma (LSS) and sustainable manufacturing strategies.Design/methodology/approachBoth LSS and sustainable manufacturing aim at improving the firm’s business competitiveness which forms a strategic link that benefits the manufacturing organizations. The study aims to investigate the relationship among constructs that leads to operational excellence while deploying LSS and sustainable manufacturing strategies in organizations.FindingsEmpirical data needed for the study are collected from experts belonging to various industries that are implementing both LSS and sustainable manufacturing practices. Later statistical estimates (hypotheses) are being formulated to confirm the developed measurement model. Based on the obtained results after analysis of the structural model, the statistical estimate is either being accepted or rejected. Results of this study reveal that there exists a strong correlation between LSS and sustainable manufacturing factors that leads to organizational performance.Research limitations/implicationsAdditional indicators could be included to deal with technological advancements in sustainable manufacturing.Practical implicationsThe study has been done with regard to Indian automotive component manufacturing organizations scenario. Hence, the inferences derived have practical relevance.Originality/valueThe development of structural model for the Lean Six Sigma system with sustainability considerations is the original contribution of the authors.

Using the Internet for development of structural equation model of teaching behavior of junior high school teachers

Using the Internet for development of structural equation model of teaching behavior of junior high school teachers

Structural equation model to investigate the factors influencing quality performance in Indian construction projects

Indian construction industry has seen remarkable growth and it is an integral part of the economy with massive foreign investments which demands quality construction. The pressure to reduce time and cost of construction increases the risk on the part of stakeholders with respect to quality and safety of the construction. The problem is serious and dangerous in developing countries like India which requires focus and attention for sustained growth in construction sector. This research reports on the adoption and development of structural equation model to study the fundamental relationship between five enablers of European Foundation for quality management (EFQM) framework to improve the quality performance in Indian construction projects. Data collected from clients, contractors and consultants of Indian construction industry through questionnaire survey was used to analyze the conceptual framework using smart PLS software. The conceptual model in this research includes eight hypotheses and T-statistics values is used for checking the significance of the hypothesis. The findings of the study revealed that leadership factor has strongest total effect on people factor (Path coefficient = 0.77) and process factor has strongest effect in achieving the goals of quality performance improvement in construction projects (Path coefficient = 0.7). The results indicate that Indian construction organizations must give top priority to leadership and process related problems in various phases of the project to result in continuous improvement in quality performance.

Using Structural Equation Modeling (SEM) for the Study of Impurity Profiles of Drug Substances

The impurity profile is one of the most important quality characteristics of a drug substance. Although it is always desirable to determine the chemical structure of all impurities forming the impurity profile, unfortunately this is not always economically and technically feasible because of the extremely low concentrations at which some impurities may be found in the drug substance. Therefore, alternative approaches to the chemical analysis are needed for trying to determine the origin of the unidentified impurities. In a previous study conducted by our group, based on exploratory (principal component and hierarchical cluster) analysis, we were able to suggest a hypothesis for explaining the origin of the unidentified impurities of a drug substance. However, there was still a concern that alternative hypotheses might explain the same phenomenon equally well. This article explores the application of recent developments in structural equation modeling for the systematic generation and selection of hypotheses (models) worthy of being confirmed by chemical research.

Implications of Recent Developments in Structural Equation Modeling for Counseling Psychology

We review recent developments in structural equation modeling (SEM) since Fassinger’s (1987) introductory article. We discuss issues critical to designing and evaluating SEM studies. Our review includes recent technological developments in SEM such as new approaches from hypothesis testing to determining statistical power and assessing model fit. Moreover, we discuss innovations in applying SEM to different research contexts and designs (e.g., experimental and longitudinal designs and interactions among latent variables). Finally, we discuss procedures for redressing common problems and misunderstandings in the application of SEM procedures to counseling research.

Development of Structural Equation Model for Causal Relationships Among the Risk Factors of Arteriosclerosis

The purpose of this study was to clarify the dynamic relationships among risk factors of arteriosclerosis and to develop and examine a model which could explain this relationship clearly. Data were collected from medical records of 400 male clients who visited a university hospital located in Inchon...

A didactic example of multilevel structural equation modeling applicable to the study of organizations

This article provides a didactic example and application of new developments in structural equation modeling (SEM) that allow for the modeling of multilevel data. Such data often arise naturally from organizational structures in which within‐group units (employees, students, etc.) are observed in larger between‐group units (firms, schools, etc.) The article begins with an overview of the basic ideas of SEM and multilevel linear regression. The synthesis of both methods developed by Muthéin (1994) is then presented in the simple case of a multilevel path analysis model, in which the variations in within‐group level intercepts are modeled as a function of between‐group variables following their own path model. An application motivated by a real problem in the field of education that focuses on validating indicators of the quality of science education in the United States follows. The results show that it is possible to statistically capture the salient complexities of organizations through the application of multilevel SEM. The article concludes with a discussion of the utility of multilevel SEM for organizational studies.

Recent Developments in Structural Equation Modeling

The authors describe new developments in structural equation modeling as incorporated in LISREL V. The procedures are illustrated on data from three previous studies.

Recent Developments in Structural Equation Modeling

The authors describe new developments in structural equation modeling as incorporated in LISREL V. The procedures are illustrated on data from three previous studies.