research paper using structural equation modeling

This study develops a checklist with guidelines for the methods and important factors to consider in research using structural equation modeling (SEM). Method. The paper discusses the factors to consider in the process across the three stages of 1) model setting, 2) model evaluation and modification, and 3) interpretation and reporting of SEM ...

Verdam MGE, Oort FJ, Sprangers MAG. Using structural equation modeling to detect response shifts and true change in discrete variables: An application to the items of the SF-36. Quality of Life Research. 2016; 25:1361-1383. [PMC free article] [Google Scholar]

An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433. Article Google Scholar Henseler, J. (2017). Bridging design and behavioral research with variance-based structural equation modeling.

Structural equation modeling (SEM) is a powerful statistical approach for the testing of networks of direct and indirect theoretical causal relationships in complex data sets with intercorrelated ...

Modeling the aggregate effects of common and rare variants in multiple potentially interesting genes using latent variable SEM. Model of the associations between two genes (11 SNPs) and potential ...

This review was developed to introduce the essential components and variants of structural equation modeling (SEM), synthesize the common issues in SEM applications, and share our views on SEM's future in ecological research. We searched the Web of Science on SEM applications in ecological studies from 1999 through 2016 and summarized the potential of SEMs, with a special focus on unexplored ...

Using Structural Equation Modeling to Examine the Influence of Social, Behavioral, and Nutritional Variables on Health Outcomes Based on NHANES Data: Addressing Complex Design, Nonnormally Distributed Variables, and Missing Information ... Research reported in this paper was supported by the National Institute of General Medical Sciences of the ...

Use the structural equation modeling procedure of comparing a hypothesized variance-covariance matrix with the observed variance-covariance matrix. A useful tool for deciding on an analytic approach. Causal relationships among the depicted nodes help determine the most appropriate analytic strategy for the research question.

Learning Objectives. After reading this chapter, you should: 1. Understand the principles of structural equation modeling (SEM) 2. Describe the basic elements of a structural equation model. 3. Comprehend the basic concepts of partial least squares structural equation modeling (PLS-SEM) 4.

Structural equation modeling (SEM) is a powerful multivariate analysis technique that is widely used in the social sciences [].Its applications range from analysis of simple relationships between variables to complex analyses of measurement equivalence for first and higher-order constructs [].It provides a flexible framework for developing and analyzing complex relationships among multiple ...

This paper is a tribute to researchers who have significantly contributed to improving and advancing structural equation modeling (SEM). It is, therefore, a brief overview of SEM and presents its beginnings, historical development, its usefulness in the social sciences and the statistical and philosophical (theoretical) controversies which have often appeared in the literature pertaining to SEM.

In the final step of analyses, the model was tested using structural equation modeling (SEM) and the robust maximum likelihood estimator (MLR). All constructs that consist of multiple items were modeled as latent factors. ... The funding source had no impact on the decision to publish this research. The content of this paper does not reflect ...

The objective of this study is to design a structural equation model and test confirmatory factor analysis system in order to better explain how students could utilize social networking system (Facebook) for educational purposes. Thus, this paper seeks to examine the attitude, perception and behaviour of Japanese students' towards social-networking sites, and how students from non-English ...

The suggested model was tested and evaluated using SEM-PLS. The investigation demonstrated that the suggested TAM-based scale effectively describes factors impacting students' use of E-learning ...

Structural equation modeling (SEM) is a family of statistical techniques and methods for testing hypotheses about causal effects among observed or proxies for latent variables. ... Shame for disrespecting evidence: The personal consequences of insufficient respect for structural equation model testing. Medical Research Methodology, 14 (1 ...

Internet research using partial least squares structural equation modeling (PLS-SEM) Innovation and diffusion of PLS-SEM. Since Wold (1974) developed the PLS algorithm more than 40 years ago, the method has evolved considerably, particularly in recent years. Indeed, numerous researchers have contributed to expanding awareness and applications of what is now known as PLS-SEM.

white paper Using Amos for structural equation modeling in market research 6 ® You can make nested models using other kinds of constraints. For example, if model A lets Y and X be correlated, and model B requires their correlation to be 0.50, then B is nested within Y. Comparing models that aren't nested, isn't as easy.

A Structural Equation Modeling on Factors of How Experienced Teachers Affect the Students Science and Mathematics Achievements ... (structural equation modeling). When the research studies are examined, it is observed that the study which examines the e ects of school

The following paper presents current thinking and research on fit indices for structural equation modelling. The paper presents a selection of fit indices that are widely regarded as the most informative indices available to researchers. As well as outlining each of these indices, guidelines are presented on their use. The paper also provides reporting strategies of these indices and concludes ...

The main goal of the current paper was to determine the effects of perceived school climate dimensions ... The use of structural equation modeling (SEM) as a research method to examine effect of constituents of school climate, a complex educational phenomenon, on students' academic achievement, was a strength of this study as SEM provides ...

Utilizing structural equation modeling (SEM), we created a latent variable path analysis model predicting aggression. Several important paths were significant including from entity theory to aggression, mediated by hostile attribution bias, schizotypy to aggression, mediated by both hostile attribution bias and disinhibition, substance use to ...

Results of structural equation modeling indicated perceived discrimination positively predicted the level of public stigma, and a negative directional relationship was found from social support to public and self-stigma, suggesting the need for increasing support for the population. ... Register to receive personalised research and resources by ...

the structural modeling or structural equation modeling, which is becoming an increasingly popular tool for researchers in the field of education, psychology and social sciences [1-5]. Consequently, we consider it very important to train future doctors of philosophy to use it in the educational research.

The research used structural equation modeling and data from 138 countries included in the Global Competitiveness Report of the World Economic Forum 2016/2017. The results showed that education is the predecessor of innovation and competitiveness and it comprehends basic education and technical training provided by companies.

1. The First Generation: Definition And Brief History Of Structural Equation Modeling. Structural equation modeling can be defined as a class of methodologies that seeks to represent hypotheses about the means, variances, and covariances of observed data in terms of a smaller number of 'structural' parameters defined by a hypothesized underlying conceptual or theoretical model.

Based on the questionnaire data, this paper will use the principal component method to carry out factor analysis on all questions of the questionnaire on the risk factors of the Internet strategic transformation of manufacturing enterprises, extract the leading factors, and establish the structural equation model by using the software Amos to ...

Structural equation modeling (SEM) is a powerful multivariate analysis technique that is widely used in the social sciences [ 1 ]. Its applications range from analysis of simple relationships between variables to complex analyses of measurement equivalence for first and higher-order constructs [ 2 ].

We study the problem of learning directed acyclic graphs from continuous observational data, generated according to a linear Gaussian structural equation model. State-of-the-art structure learning methods for this setting have at least one of the following shortcomings: i) they cannot provide optimality guarantees and can suffer from learning sub-optimal models; ii) they rely on the stringent ...

We assessed the spatiotemporal variations in HQ using the InVEST model and three periods of LULC data for the urban agglomeration on the northern slope of the Tianshan Mountains (UANSTM), and the partial least squares structural equation model was introduced to explore the interactions between natural and non‑natural factors and their impacts ...

After accounting for missing values, the structural equation modeling analysis 2539 teachers from Türkiye. In the study, the researchers applied a mediation analysis of structural equation modeling to test the proposed model. ... By conducting further research using mixed methods and experimental designs in future studies, scholars can obtain ...