Application of Structural Equation Modeling Software in Applied Linguistics

2014 ◽  
Vol 687-691 ◽  
pp. 1573-1576
Author(s):  
Wei Jing
Keyword(s):  
Structural Equation Modeling ◽  
Literature Review ◽  
Uniform Distribution ◽  
Structural Equation ◽  
Applied Linguistics ◽  
Literature Survey ◽  
Equation Modeling ◽  
General Situation ◽  
Modeling Software

Mechanical drawing language EQS, its full name is Equally Spaced, which means the uniform distribution of meaning. Now, its importance is more and more incarcerating. This paper outlined the application of EQS in Applied Linguistics, firstly introduces the general situation, then describes the modeling steps; finally applied linguistics tells the story of EQS. In this paper, it mainly used the literature review method and literature survey.

scholarly journals INTEGRATION AND USE OF THE INTERDISCIPLINARY KNOWLEDGE IN THE FIELD OF SPATIAL AND ECONOMICS/BUSINESS SCIENCES

2019 ◽  
Vol 21 (3) ◽  
Author(s):  
Polona Tominc ◽  
Vit Paszto ◽  
Samo Bobek ◽  
Simona Sternad Zabukovšek
Keyword(s):  
Higher Education ◽  
Structural Equation Modeling ◽  
Literature Review ◽  
Conceptual Model ◽  
Systematic Literature Review ◽  
Structural Equation ◽  
Equation Modeling ◽  
Interdisciplinary Field ◽  
Study Programs ◽  
Interdisciplinary Knowledge

This research arises from the importance of integration of knowledge of economics/business and spatial sciences for graduates who must think and act in interdisciplinary contexts.The systematic literature review revealed thatthis interdisciplinary field is richly present in original scientific research, and is undoubtedly topical and worthy of research efforts. Themain objective of this paper is toanalyse important factors that contribute to the attitudes of students towards interdisciplinary knowledge, and factors that shape their intentions to use and integrate this knowledge in the future. The conceptual model formed was tested using structural equation modeling (SEM). Research results confirm the importance of integration of economics/business and spatial sciences knowledge, for graduates. As presented in the paper, results of thestudyhave important implications for higher education institutions, reforming and updating their study programs, as well as for educators in the field of spatial sciences and economic/business sciences, in research and in education.

scholarly journals Structural equation modeling in cloud computing studies: a systematic literature review

Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 982-1019
Author(s):  
Erhan Pişirir ◽  
Erkan Uçar ◽  
Oumout Chouseinoglou ◽  
Cüneyt Sevgi
Keyword(s):  
Cloud Computing ◽  
Structural Equation Modeling ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Structural Equation ◽  
Security And Privacy ◽  
Equation Modeling ◽  
Content Type ◽  
Current State ◽  
Sem Studies

Purpose This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design. Design/methodology/approach Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions. Findings A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors. Originality/value Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.

Using WarpPLS in E-collaboration Studies

2010 ◽  
Vol 6 (4) ◽  
pp. 1-11 ◽  
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation Modeling ◽  
Research Methods ◽  
Latent Variables ◽  
Structural Equation ◽  
Software Tools ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
Modeling Software ◽  
S Curve ◽  
Complex Phenomena

Most relationships between variables describing natural and behavioral phenomena are nonlinear, with U-curve and S-curve relationships being particularly common. Yet, structural equation modeling software tools do not estimate coefficients of association taking nonlinear relationships between latent variables into consideration. This can lead to misleading results, particularly in multivariate and complex phenomena like those related to e-collaboration. One notable exception is WarpPLS (available from: warppls.com), a new structural equation modeling software currently available in its first release. The discussion presented in this paper contributes to the literature on e-collaboration research methods by providing a description of the main features of WarpPLS in the context of an e-collaboration study. The focus of this discussion is on the software’s features and their use and not on e-collaboration study itself. Particular emphasis is placed on the five steps through which a structural equation modeling analysis is conducted through WarpPLS.

Using WarpPLS in E-Collaboration Studies

2012 ◽  
pp. 62-78
Author(s):  
Ned Kock
Keyword(s):  
Structural Equation Modeling ◽  
Virtual Teams ◽  
Structural Equation ◽  
Research Literature ◽  
Previous Article ◽  
Equation Modeling ◽  
Modeling Analysis ◽  
Modeling Software ◽  
Nonlinear Structural Equation

This is a follow-up on a previous article (Kock, 2010b) discussing the five main steps through which a nonlinear structural equation modeling analysis could be conducted with the software WarpPLS (warppls.com). Both this and the previous article use data from the same E-collaboration study as a basis for the discussion of important WarpPLS features. The focus of this article is on specific features related to saving and analyzing grouped descriptive statistics, viewing and changing analysis algorithm and resampling settings, and viewing and saving the various minor and major results of the analysis. Even though its focus is on an E-collaboration study, this article contributes to the broad literature on multivariate analysis methods, in addition to the more specific research literature on E-collaboration. The vast majority of relationships between variables, in investigations of both natural and behavioral phenomena, are nonlinear; usually taking the form of U and S curves. Structural equation modeling software tools, whether variancE- or covariancE-based, typically do not estimate coefficients of association based on nonlinear analysis algorithms. WarpPLS is an exception in this respect. Without taking nonlinearity into consideration, the results can be misleading; especially in complex and multi-factorial situations such as those stemming from E-collaboration in virtual teams.

Testing Hypotheses about Language Learning Using Structural Equation Modeling

2014 ◽  
Vol 34 ◽  
pp. 102-122 ◽  
Author(s):  
Paula Winke
Keyword(s):  
Structural Equation Modeling ◽  
Second Language Acquisition ◽  
Language Learning ◽  
Structural Equation ◽  
Applied Linguistics ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Learning Context ◽  
The People

In this chapter, I review a statistical method for hypothesis or theory testing calledstructural equation modeling(SEM). First, I describe what a model of second language acquisition (SLA) is. I do this so anyone, even those new to the field of applied linguistics, can understand the basic concepts underlying SEM; that is, SEM researchers first articulate a model of SLA, then get empirical data from the real world that operationalize the variables in the model. Researchers use an SEM program to test the model on the data (to see if the model fits the data; if the model is plausible in relation to the learning context of the people from whom the data were collected). After explaining the basics of SEM, I provide a review of 39 applied linguistics studies that have been published in the last five years (between 2008 and 2013) and that present at least one SEM analysis as part of the results. I discuss four problematic areas related to the use of SEM that I believe these 39 studies highlighted: (a) sample size, (b) model presentation, (c) reliability, and (d) the number of Likert-scale points. I conclude with possible solutions for the four problem areas and outline future directions.

scholarly journals The Effects of Job Insecurity on Employees’ Financial Well-Being and Work Satisfaction Among Chinese Pink-Collar Workers

SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402098299
Author(s):  
Wai Ming To ◽  
Jennifer H. Gao ◽  
Ernest Y. W. Leung
Keyword(s):  
Structural Equation Modeling ◽  
Theoretical Model ◽  
Literature Review ◽  
Structural Equation ◽  
Job Insecurity ◽  
Work Satisfaction ◽  
Well Being ◽  
Equation Modeling ◽  
Pink Collar

This article examines the effects of job insecurity on employees’ financial well-being and work satisfaction. Based on a literature review on financial well-being, we proposed that financial well-being consists of two categories: personal financial well-being and family financial well-being. We developed a theoretical model that links job insecurity to employees’ personal and family financial well-being, and then to employees’ work satisfaction. Data were collected from 334 Chinese pink-collar workers in Macao. Results of the structural equation modeling showed that job insecurity negatively and significantly influenced employees’ personal financial well-being whereas employees’ personal financial well-being positively and significantly influenced work satisfaction directly and indirectly through employees’ family financial well-being. However, the direct relationships between job insecurity and employees’ family financial well-being and between job insecurity and work satisfaction were not significant.

scholarly journals Habilidades directivas y clima organizacional en pequeñas y medianas empresas

2021 ◽  
Vol 50-1 ◽  
pp. 1-23
Author(s):  
Daniel Paredes-Zempual ◽  
Luis Enrique Ibarra-Morales ◽  
Zahira Esther Moreno-Freites
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Equation Modeling ◽  
Modeling Software

Actualmente, los gerentes deben aprender a utilizar y administrar las diferentes habilidades directivas en función de un buen clima organizacional. Objetivo: Determinar el grado de asociación entre habilidades directivas y clima organizacional de las PyMes de Villa Juárez, Sonora. Método: Fue una investigación descriptiva y cuantitativa. Se aplicó un cuestionario a directivos de 53 PyMes. Resultados: Se utilizó la técnica de mínimos cuadrados parciales (PLS), mediante la construcción de un modelo SEM (Structural Equation Modeling) software Smart PLS [v.3.3.0]. Se demostró que las variables latentes: negociación (ξ1) y liderazgo (ξ3) son significativas para el clima organizacional (η1; R2=0.804). Originalidad: Determinar las variables exógenas que explican la varianza de la variable endógena de las PyMes. Hallazgos: El efecto del f2 en la relación entre η1 y ξ1 es alto (f2=0.710); mientras que, para η1 y ξ3, el efecto es bajo (f2=0.104). Limitaciones: Reducido número de empresas en el municipio.

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