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.

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 Factors related with the university degree selection in Spanish public university system. An structural equation model analysis

2014 ◽  
Vol 49 (2) ◽  
pp. 541-557 ◽  
Author(s):  
Joan Guàrdia Olmos ◽  
Maribel Peró Cebollero ◽  
Antonio Hervás Jorge ◽  
Roberto Capilla Lladró ◽  
Pedro Pablo Soriano Jiménez ◽  
...  
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Public University ◽  
Model Analysis ◽  
Equation Model ◽  
University System ◽  
University Degree ◽  
The University

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.

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.

scholarly journals No food for thought: Food insecurity is related to poor mental health and lower academic performance among students in California’s public university system

2018 ◽  
Vol 25 (12) ◽  
pp. 1930-1939 ◽  
Author(s):  
Suzanna M Martinez ◽  
Edward A Frongillo ◽  
Cindy Leung ◽  
Lorrene Ritchie
Keyword(s):  
Mental Health ◽  
Academic Performance ◽  
Food Insecurity ◽  
Grade Point Average ◽  
Structural Equation ◽  
Public University ◽  
Poor Mental Health ◽  
Equation Modeling ◽  
University System ◽  
Grade Point

This study examined the relationships between food insecurity, mental health, and academic performance among college students in a California public university system ( N = 8705). Structural equation modeling was performed to examine a direct path from food insecurity to student grade point average and an indirect path through mental health, controlling for demographic characteristics. Food insecurity was related to lower student grade point average directly and indirectly through poor mental health. These findings support the need for future interventions and policy on the importance of providing students with the basic needs to succeed both academically and in the future.

Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model

2021 ◽  
pp. 107699862110565
Author(s):  
Steffen Nestler ◽  
Oliver Lüdtke ◽  
Alexander Robitzsch
Keyword(s):  
Social Relations ◽  
Structural Equation ◽  
Applied Research ◽  
Structural Equation Models ◽  
Social Groups ◽  
Equation Model ◽  
Model Data ◽  
Cross Sectional ◽  
Social Relations Model ◽  
The Social

The social relations model (SRM) is very often used in psychology to examine the components, determinants, and consequences of interpersonal judgments and behaviors that arise in social groups. The standard SRM was developed to analyze cross-sectional data. Based on a recently suggested integration of the SRM with structural equation models (SEM) framework, we show here how longitudinal SRM data can be analyzed using the SR-SEM. Two examples are presented to illustrate the model, and we also present the results of a small simulation study comparing the SR-SEM approach to a two-step approach. Altogether, the SR-SEM has a number of advantages compared to earlier suggestions for analyzing longitudinal SRM data, making it extremely useful for applied research.

Modelling Museum Visitors’ Perception and Experience of Authenticity: Examining Heterogeneity with a Finite Mixture Model

2021 ◽  
Vol 56 ◽  
pp. 0-0
Author(s):  
Claudia Bauer-Krösbacher ◽  
Josef Mazanec
Keyword(s):  
Latent Variable ◽  
Structural Equation ◽  
Latent Class ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Model Fitting ◽  
Equation Model ◽  
Finite Mixture ◽  
Museum Visitors ◽  
Specific Strength

Purpose. In this study, the authors explore the role of museum visitors’ perceptions and experiences of authenticity. They introduce several variants of authenticity experience and analyse how they are intertwined and feed visitor satisfaction. Method. The authors apply a multi-step model fitting and validation procedure including inferred causation methods and finite mixture modelling to verify whether the visitors’ perceptions of authenticity are subject to unobserved heterogeneity. They elaborate an Authenticity Model that demonstrates out-of-sample validity and generalisability by being exposed to new data for another cultural attraction in another city. Then, they address the heterogeneity hypothesis and evaluate it for the case study with the larger sample. Findings. In both application cases, the Sisi museum in Vienna and the Guinness Storehouse in Dublin, the empirical results support the assumed cause-effect sequence, translating high quality information display—from traditional and multimedia sources—into Perceived Authenticity and its experiential consequences such as Depth and Satisfaction. Accounting for unobserved heterogeneity detects three latent classes with segment-specific strength of relationships within the structural model. Research and conclusions limitations. The combined latent-class, structural-equation model needs validation with another sample that would have to be larger than the available Guinness database. Future studies will have to complement the purely data-driven search for heterogeneity with theory-guided reasoning about potential causes of diversity in the strength of the structural relationships. Practical implications. Cultural heritage sites are among the attractions most typical of city tourism. History tends to materialise in the artefacts accumulated by the population among the urban agglomerations, and museums are the natural places for preserving exhibits of cultural value. Authenticity must be considered an important quality assessment criterion for many visitors, whereby, the distinction between object authenticity and existential authenticity is crucial. Originality. In addition to making substantive contributions to authenticity theory, the authors also extend previous research in terms of methodological effort. Authenticity research, so far, has neither exploited inferred causation methods nor combined latent variable modelling with detecting unobserved heterogeneity. Type of paper: Research article.

Structural equation modelling in sustainable development research

2021 ◽  
pp. 117-178
Author(s):  
Todor Krastevich ◽  
Atanaska Reshetkova
Keyword(s):  
Sustainable Development ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Theoretical Work ◽  
Equation Model ◽  
Clear Understanding ◽  
Development Research ◽  
Equation Modelling ◽  
Research Problems

This chapter is dedicated to the structural equation modelling methods applied to solve sustainable development research problems. A structural equation model is an abstraction of reality, and the researcher’s job is to build a model that approximates that reality as closely as possible. This task can be difficult if we do not have a clear understanding of what the reality of the studied phenomena is. Sometimes there is a sound theory behind the studied phenomena, and we can use variables that other researchers have already pointed out as valid indicators. In other situations, we have to start with a set of variables and test many hypothetical relationships based only on theoretical work. In this chapter, we focus on providing researchers with the knowledge needed to specify, evaluate, and interpret structural equation models (SEMs) in any field of social sciences, but most and foremost—in research related to the concept of sustainable development.

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