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

Antecedents and Consequences of Marital Satisfaction in an Emirati Sample: A Structural Equation Model Analysis

2016 ◽  
Vol 53 (4) ◽  
pp. 365-387 ◽  
Author(s):  
Fatima Rashed Al-Darmaki ◽  
Shaima Ahammed ◽  
Sofoh H. Hassane ◽  
Abdullah Seif Abdullah ◽  
Saad Ibrahim Yaaqeib ◽  
...  
Keyword(s):  
Marital Satisfaction ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Model Analysis ◽  
Equation Model ◽  
Antecedents And Consequences

School as a determinant for health outcomes – a structural equation model analysis

2009 ◽  
Vol 109 (4) ◽  
pp. 342-356 ◽  
Author(s):  
Ulrike Ravens‐Sieberer ◽  
John Freeman ◽  
Gyongyi Kokonyei ◽  
Christiane A. Thomas ◽  
Michael Erhart
Keyword(s):  
Health Outcomes ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Model Analysis ◽  
Equation Model

Hassles predict physical health complaints in undergraduate students: a dynamic structural equation model analysis of daily diary data

2020 ◽  
pp. 1-19
Author(s):  
Susan T. Tran ◽  
Karolina Grotkowski ◽  
Steven A. Miller ◽  
Brandon W. Reed ◽  
Marissa L. Koven ◽  
...  
Keyword(s):  
Physical Health ◽  
Structural Equation Model ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Daily Diary ◽  
Model Analysis ◽  
Equation Model ◽  
Health Complaints ◽  
Diary Data

Using fuzzy Indicators in customer experience analytics

2020 ◽  
pp. 1-14
Author(s):  
Carolina Nicolas ◽  
Jaime Gil-Lafuente ◽  
Angélica Urrutia ◽  
Leslier Valenzuela-Fernández
Keyword(s):  
Empirical Study ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Customer Experience ◽  
Model Analysis ◽  
Equation Model ◽  
Online Environment ◽  
Inference Method ◽  
Relevant Today ◽  
Interactive Experience

The aims of this study is to propose a model for managing customer experience analytics focused on value generated in an online market, this study to explore touch points experience, measured with conventional indicators and fuzzy indicators, using to a structural equation model analysis and Mamdani inference method. The investigation has delved deeper into the nature of the value of the experience construct, the results revealed of the empirical study confirm regarding how the experience value is related with the key touch points of the customer/company relationship. Very few studies in the reviewed literature about the conceptualization on customer interactive experience focused on value generated in an online environment. This study becomes more relevant today, where, after the pandemic, the value of the online customer experience becomes more important.

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