Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

scholarly journals The SEMinR Package

2021 ◽  
pp. 49-74
Author(s):  
Joseph F. Hair ◽  
G. Tomas M. Hult ◽  
Christian M. Ringle ◽  
Marko Sarstedt ◽  
Nicholas P. Danks ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Software Package ◽  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Quality Reporting ◽  
Measurement Models ◽  
User Friendly

AbstractSEMinR is a software package developed for the R statistical environment (R Core Team, 2021). The package includes a user-friendly syntax for creating and estimating structural equation models using estimators such as partial least squares. In this chapter, we introduce the syntax to create, estimate, and report structural equation models using SEMinR. We demonstrate the four steps to specifying and estimating a structural equation model: (1) loading and cleaning the data, (2) specifying the measurement models, (3) specifying the structural model, and (4) estimating, bootstrapping, and summarizing the model. This chapter also describes how to export results and figures from R for professional, publication-quality reporting.

scholarly journals Modelling the Process to Access the Spanish Public University System Based on Structural Equation Models

2020 ◽  
Vol 25 (2) ◽  
pp. 31
Author(s):  
Antonio Hervás ◽  
Pedro Pablo Soriano ◽  
Joan Guàrdia i Olmos ◽  
Maribel Peró ◽  
Roberto Capilla ◽  
...  
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Supply And Demand ◽  
Public University ◽  
Equation Model ◽  
General View ◽  
Strategic Decisions ◽  
University System ◽  
University Leaders

Currently, one of the challenges of universities is attracting talent in students, researchers, and teachers. The transition from high school to college requires a student to take a succession of decisions that will shape their future. For this reason, knowledge of the motivations of the students, their family, and their personal environment, to choose a particular degree and/or university to pursue their higher studies, would allow universities to efficiently adjust their recruitment strategies. In this article, a study was developed based on a structural equation model of the access to the Spanish Public University System (SUPE), which can help with supply and demand problems, recruitment actions and policies, and other strategic decisions. This was done through an extensive survey of first-year students of Spanish universities. The results allowed us to obtain the parameters of the model, which showed that the fit between the model and the data obtained were excellent at a global level and acceptable as well in all knowledge areas. The objective of the structural model was to provide a general view of the behavior of the students when deciding the degree and university in which they are going to study, and can help in the decision making of university leaders and to understand some behaviors of the Spanish Public University System.

Structural Equation Models

2009 ◽  
Author(s):  
Kenneth A. Bollen ◽  
Sophia Rabe‐Hesketh ◽  
Anders Skrondal
Keyword(s):  
Factor Analysis ◽  
Graphical Models ◽  
Latent Variable ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Model Fit ◽  
Model Specification ◽  
Estimation Model ◽  
Recent Developments ◽  
Multilevel Structural Equation

This article explains the use of factor analysis types of models to develop measures of latent concepts which were then combined with causal models of the underlying latent concepts. In particular, it offers an overview of the classic structural equation models (SEMs) when the latent and observed variables are continuous. Then it looks at more recent developments that include categorical, count, and other noncontinuous variables as well as multilevel structural equation models. The model specification, assumptions, and notation are covered. This is followed by addressing implied moments, identification, estimation, model fit, and respecification. The penetration of SEMs has been high in disciplines such as sociology, psychology, educational testing, and marketing, but lower in economics and political science despite the large potential number of applications. Today, SEMs have begun to enter the statistical literature and to re-enter biostatistics, though often under the name ‘latent variable models’ or ‘graphical models’.

scholarly journals The influence of emotional intelligence on diversity complexity cognition and the attitude towards diversity

2011 ◽  
Vol 42 (3) ◽  
pp. 37-48 ◽  
Author(s):  
J. M. Kamps ◽  
A. S. Engelbrecht
Keyword(s):  
Emotional Intelligence ◽  
South African ◽  
Latent Variables ◽  
Structural Equation ◽  
Structural Model ◽  
Item Analysis ◽  
Model Fit ◽  
Business Context ◽  
Measurement Models ◽  
Structural Relationships

The aim of the study was to develop and validate a theoretical model explicating the structural relationships between diversity complexity cognition, emotional intelligence and a positive attitude towards diversity in the South African business context. The sample selected for the study consisted of 237 employees from various South African organisations. The content and structure of the latent variables were investigated by means of item analysis, as well as confirmatory and exploratory factor analysis. The results of structural equation modelling (SEM) demonstrated good model fit for the refined measurement models and the structural model. A positive relationship was found between emotional intelligence and the latent variables of valuing individual differences and positive perceptual depth. The practical implications were highlighted to ultimately inform management seeking to build an ethically diverse and productive workforce that values the individuality of others.

scholarly journals Local Fit Evaluation of Structural Equation Models Using Graphical Criteria

2017 ◽  
Author(s):  
Felix Thoemmes ◽  
Yves Rosseel ◽  
Johannes Textor
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Global Approach ◽  
Goodness Of Fit Test ◽  
Single Index ◽  
Model Misfit

Evaluation of model fit is critically important for every structural equation model and sophisticated methods have been developed for this task. Among them are the χ2 goodness-of-fit test, decomposition of the χ2, derived measures like the popular RMSEA or CFI, or inspection of residuals or modification indices. Many of these methods provide a global approach to model fit evaluation: A single index is computed that quantifies the fit of the entire SEM to the data. In contrast, graphical criteria like d-separation or trek-separation allow to derive implications that can be used for local fit evaluation, an approach that is hardly ever applied. We provide an overview of local fit evaluation from the viewpoint of SEM practitioners. In the presence of model misfit, local fit evaluation can potentially help in pinpointing where the problem with the model lies. For models that do fit the data, local tests can identify the parts of the model that are corroborated by the data. Local tests can also be conducted before a model is fitted at all, and they can be used even for models that are globally under-identified. We discuss appropriate statistical local tests, and provide applied examples. We also present novel software in R that automates this type of local fit evaluation.

scholarly journals Validation of the Mental Toughness Measure of Athletes and Non-athletes with the Structural Equation Model

2021 ◽  
Vol 119 ◽  
pp. 01001
Author(s):  
Issam Eddine Ben Chelbi ◽  
Jaouad Alem ◽  
Driss Boudhiba ◽  
Sabeur Hamrouni ◽  
Riadh Khalifa ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Scientific Research ◽  
Equation Model ◽  
Model Fit ◽  
Mental Toughness ◽  
Psychological Constructs ◽  
Arabic Speaking

The use of structural equation models (SEM) in scientific research perform a promising methodological and empirical direction to validate the measurement of psychological constructs. The aim of this paper is to validate the measurement of mental toughness of athletes and non-athletes with SEM. The sample consisted of 853 Tunisian participants (444 males and 409 females; 409 athletes and 444 non-athletes), aged 14 to 27 years (M=20.38 SD=4.12). The sample completed the Arabic translated questionnaire of Clough, Earle [1] which measures six components of their mental toughness. The SEM approved a good model fit (χ²=1146.33; df =1065; CFI=.93; SRMR=.063; RMSEA=.009) which allows for a valid Arabic-speaking measure of the six components of mental toughness.

scholarly journals ANALISIS PENGARUH MANAJEMEN RANTAI PASOK TERHADAP KINERJA PERUSAHAAN PT. SEMESTA MITRA SEJAHTERA CABANG SIDOARJO MENGGUNAKAN STRUCTURAL EQUATION MODEL (SEM)-PARTIAL LEAST SQUARE (PLS)

JUMINTEN ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 95-106
Author(s):  
Santi Wulandari ◽  
Dira Ernawati
Keyword(s):  
Convergent Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Structural Model ◽  
Measurement Model ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Model Fit ◽  
Inner Model

Dengan meningkatnya pertumbuhan dunia industri berimplikasi pula dengan meningkatnya permintaan pasar akan suatu produk yang diinginkan. Perusahaan selaku salah satu pelaku kegiatan di sektor industri dituntut untuk bisa mempertahankan produk di pasaran serta terus berinovasi dalam strategi dan integrasi yang baik dari tiap sektor. PT. Semesta Mitra Sejahtera Cabang Sidoarjo adalah perusahaan yang berfokus di bidang peternakan (farm) ayam pullet yang peternakannya tersebar di berbagai daerah di Jawa Timur. Diketahui bahwa di perusahaan ini seringkali terjadi perubahan kebijakan mendadak terkait proses pemeliharaan ayam pullet di peternakan. Dikarenakan lokasi farm yang tidak dalam satu daerah, perusahaan mengalami kesulitan dalam penyampaian informasi untuk secara efektif terkait penerapan kebijakan baru terhadap farm. Dari latar belakang diatas, peneliti ingin mengetahui bagaimana pengaruh manajemen rantai pasok terhadap kinerja perusahaan dengan menggunakan SEM-PLS dengan tahap pertama yaitu Evaluation of Measurement Model yang dilakukan dengan Uji Validitas dan Uji Reliabilitas. Uji Validitas dilakukan dengan dua tahap yaitu Convergent Validity dan Discriminant Validity. Uji Reliabilitas dilakukan dengan dua tahap yaitu Composite Reliability dan Cronbach’s Alpha. Tahap kedua yaitu Evaluation of Structural Model yang dilakukan dengan suatu pengujian yang dinamakan Inner Model Test yang dilakukan dengan lima langkah, yaitu R-Square hingga Model Fit

Researchers’ awareness about plagiarism and impact of plagiarism detection tools – does awareness effect the actions towards preventing plagiarism?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sk. Mamun Mostofa ◽  
Mashiat Tabassum ◽  
S.M. Zabed Ahmed
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Personal Characteristics ◽  
Equation Model ◽  
Equation Modeling ◽  
Plagiarism Detection ◽  
Chi Square ◽  
Content Type ◽  
Reported Study ◽  
Chi Square Test

Purpose This paper aims to analyse researchers’ awareness about plagiarism and impact of plagiarism detection tools on the actions that they take to prevent plagiarism. It also employs a structural model that examines whether awareness of plagiarism and anti-plagiarism tools have any significant effect on the actions taken by the researchers to avoid plagiarism. Design/methodology/approach A survey questionnaire was distributed to researchers at a large public university in Bangladesh. The survey accumulated 184 valid responses. Descriptive statistics were obtained to assess researchers’ awareness about plagiarism and impact of plagiarism detection tools and the actions taken by them. The reasons that may cause plagiarism were also identified. The awareness of the availability of the anti-plagiarism software that was being used by the university and its actual use by the researchers was gathered through the survey. Non-parametric Mann–Whitney and Kruskal–Wallis tests were conducted to investigate the differences in awareness levels and actions in terms of gender, age, discipline and current level of research. The chi-square test was carried out to examine the relationship between awareness about the availability of the anti-plagiarism software and its use by the researchers. Finally, the survey data were analysed using structural equation modeling to examine the effects of awareness of plagiarism and anti-plagiarism software on the actions taken by the researchers. Findings The study revealed that the level of awareness regarding plagiarism and impact of plagiarism detection software is generally high among the researchers. There are some significant differences between researchers’ demographic and personal characteristics and their awareness levels and actions with regard to plagiarism. The findings indicate that almost three-quarters of the researchers were aware about the anti-plagiarism tool that is being used, whereas more than half of the researchers indicated that they used the software to assess their works. The results of the structural equation model do not show a good fit, although there is strong statistical evidence that awareness about plagiarism and anti-plagiarism software has significantly impacted researchers’ actions towards preventing plagiarism. Originality/value There is no reported study on researchers’ awareness of plagiarism and its affiliated issues in Bangladesh. The findings of this study will not only provide useful insights regarding awareness about plagiarism but also assist university authorities to formulate relevant policy and take necessary actions against plagiarism in higher education institutions.

scholarly journals Patient Engagement in Health Management as a Mediator Between Perceived Risk and COVID-19 Related Distress in Patients With IBD: A Structural Equation Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Greta Castellini ◽  
Lorenzo Palamenghi ◽  
Mariarosaria Savarese ◽  
Serena Barello ◽  
Salvatore Leone ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Perceived Stress ◽  
Patient Engagement ◽  
Perceived Risk ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Health Management ◽  
Equation Model ◽  
Online Questionnaire ◽  
The Impact

Objective: This study aimed to evaluate the impact of the COVID-19 emergency on patients with IBD's psychological distress, understanding the role of patient engagement as a mediator.Methods: An online questionnaire was created, measuring perceived risk susceptibility toward COVID-19, perceived stress, and patient engagement. The questionnaire was distributed to a purposive sample of IBD patients who belonged to the Italian Association for patients with IBD (AMICI Onlus) in April 2020. Structural equation models were implemented.Results: The effect of the perceived risk susceptibility toward COVID-19 contagion on the perceived stress is fully mediated by patient engagement (β = 0.306, p < 0.001). Moreover, the patient engagement mitigates the perceived stress (β = −0.748, p < 0.001) in our sample of IBD patients, and it is negatively influenced by the perceived risk susceptibility toward COVID-19 (β = −0.410, p < 0.001).Conclusion: Patient engagement is the key factor that explains how the perceived risk susceptibility toward COVID-19 affects the perceived psychological distress in patients with IBD, underlining that the perceived risk of contagion increases their perceived level of stress through a decrease of patient engagement.

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