Measuring Hospitality and Tourism Management Students’ Satisfaction with Work Related Learning Using Partial Least Squares in Zimbabwe

2021 ◽  
Vol 2 (1) ◽  
pp. 14-34
Author(s):  
Absai Chakaipa ◽  
Vitalis Basera ◽  
Memory Chakaipa ◽  
Phamela Dube
Keyword(s):  
Least Squares ◽  
Student Satisfaction ◽  
Partial Least Squares ◽  
Curriculum Design ◽  
Extended Model ◽  
Work Related ◽  
Males And Females ◽  
Tourism And Hospitality ◽  
Students Satisfaction ◽  
Satisfaction Relationship

Purpose: The study assessed Tourism and Hospitality Students’ satisfaction with work-related learning (WRL) attachment using a two-stage extended model proposed by Taylor and Geldenhuys (2019). It also intends to determine if there are significant student satisfaction differences between males and females and between the students pursuing bachelor or diploma in Tourism and hospitality. Also, the study assessed if there is a moderation effect of a third variable (intermediate) on expectation and perception to students’ satisfaction. Method: Data were collected from 488 students using a survey instrument at the onset and at the end of the attachment. Analysis of results was done using both SPSS 23 and R 4.0.3. The study also applied the Multi-Group Analysis-Partial Least Squares (MGA-PLS) analysis permutation to test students’ satisfaction. Results: The research found no significant differences between males and females, and the students’ category (bachelor and diploma) on both Expectation-Satisfaction and Perception-Satisfaction relationship in model A. However, the study found significant differences between males and females in the perception-satisfaction relationship in Model B. The MGSA-PLS results revealed that male students have a positive and significant effect on the perception-satisfaction relationship as opposed to a negative and insignificant effect for females. The moderating effect test revealed that a third construct, INTER - Intermediate variable (a product of construct Perceptions and Expectation) has a positive impact on student satisfaction. Implications: There is a need for collaboration between hospitality industry players and academics in curriculum design, so as to meet the demands of the industry.  

THE PREDICTORS OF STUDENTS’ SATISFACTION IN JAZAN UNIVERSITY: EVIDENCE FROM PARTIAL LEAST SQUARES

2017 ◽  
Vol 50 (3) ◽  
pp. 229-242
Author(s):  
Said Jaouadi ◽  
Ilhem Zorgui ◽  
Slaheddine Trabelsi ◽  
Rafik Ben Samida
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Students Satisfaction

scholarly journals ANALISIS EMPIRIS TINGKAT KEPUASAN MAHASISWA PADA KUALITAS PELAYANAN DAN FASILITAS MENGGUNAKAN WEIGHTED LEAST SQUARES

2018 ◽  
Vol 1 (2) ◽  
pp. 84
Author(s):  
Nendra Mursetya Somasih Dwipa ◽  
Titis Sunanti
Keyword(s):  
Service Quality ◽  
Least Squares ◽  
Student Satisfaction ◽  
Weighted Least Squares ◽  
Reliability Factor ◽  
The Poor ◽  
Study Test ◽  
Public Area ◽  
Spss Software ◽  
Students Satisfaction

The present article aims to study the level of students’ satisfaction of PGRI Yogyakarta University towards service and facilities quality. To try and understand the factors which influence student satisfaction as well as consequences of it, this study test a weighted least squares model of student satisfaction. This study investigate determinant and dominant factors of the students’ satisfaction and its characteristics. The data were collected through a questionnaire administered to 160 students of PGRI Yogyakarta University to investigate their perceptions of the universities services. A questionnaire containing 30 questions has been used for data collection. The data were analyzed using the descriptive technique and the weighted least squares analysis. The measurement of the service quality is an important element to provide better, more efficient and more effective services.  SPSS Software and Cronbach alpha index have been used for data analysis and reliability. The reliability factor should be improved first because it is dominant in determining the students’ satisfaction. Quality indicators constituting the reliability factor include classroom, library, laboratory, public area, and information system. The results show that, by percentage, 2 indicators are in the very good category, only 5 indicators are in the good category, 9 indicators are in the fairly good category, and 14 indicators are in the poor category. The results indicate that the universities service quality needs to be improving. The results of the analysis show that five determinant factors of the students’ satisfaction include tangibles, reliability, responsiveness, assurance, and empathy. By the priority scale, the reliability factor should be improved first because it is dominant in determining the students’ satisfactionThe present article aims to study the level of students’ satisfaction of PGRI Yogyakarta University towards service and facilities quality. To try and understand the factors which influence student satisfaction as well as consequences of it, this study test a weighted least squares model of student satisfaction. This study investigate determinant and dominant factors of the students’ satisfaction and its characteristics. The data were collected through a questionnaire administered to 160 students of PGRI Yogyakarta University to investigate their perceptions of the universities services. A questionnaire containing 30 questions has been used for data collection. The data were analyzed using the descriptive technique and the weighted least squares analysis. The measurement of the service quality is an important element to provide better, more efficient and more effective services.  SPSS Software and Cronbach alpha index have been used for data analysis and reliability. The reliability factor should be improved first because it is dominant in determining the students’ satisfaction. Quality indicators constituting the reliability factor include classroom, library, laboratory, public area, and information system. The results show that, by percentage, 2 indicators are in the very good category, only 5 indicators are in the good category, 9 indicators are in the fairly good category, and 14 indicators are in the poor category. The results indicate that the universities service quality needs to be improving. The results of the analysis show that five determinant factors of the students’ satisfaction include tangibles, reliability, responsiveness, assurance, and empathy. By the priority scale, the reliability factor should be improved first because it is dominant in determining the students’ satisfaction.

scholarly journals PARTIAL LEAST SQUARE-STRUCTURAL EQUATION MODELING PADA HUBUNGAN ANTARA TINGKAT KEPUASAN MAHASISWA DAN KUALITAS GOOGLE CLASSROOM BERDASARKAN METODE WEBQUAL 4.0

2019 ◽  
Vol 16 (2) ◽  
pp. 174
Author(s):  
Reny Rian Marliana
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Student Satisfaction ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Information Quality ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Ordinary Least Square

AbstractThis paper studied a relationship between the quality of google classroom and student satisfaction. The quality of google classroom measured based on the Webqual 4.0 which is consists of four variables i.e. information quality, service interaction quality, user interface quality and usability. The relationship modeling between these latent variables and the student satisfaction was done by using the Partial Least Square-Structural Equation Modeling (PLS-SEM). Estimation parameters of the model used PLS-SEM algorithm and Ordinary Least Square (OLS) method. Data was collected using a questionnaire to 89 students of google classroom’s Probability and Statistics Course, Odd Semester 2017-2018 at STMIK Sumedang. The result showed the information quality, the service interaction quality and the user interface quality does not have significantly influence of the student satisfaction. Each of the total effects are 0.149; 0.011 and -0.155. While the usability has a significant effect to the student satisfaction positively with total effect 0.707. Keywords : partial least squares, pls-sem, webqual 4.0 AbstrakHubungan antara kualitas google classroom dan tingkat kepuasan mahasiswa dipelajari pada paper ini. Kualitas google classroom diukur berdasarkan metode Webqual 4.0 yang terdiri atas empat variabel laten yaitu kualitas informasi, kualitas interaksi layanan, kualitas antar muka pengguna dan kegunaa. Pemodelan hubungan antara keempat laten variabel tersebut dengan tingkat kepuasan mahasiswa dilakukan dengan menggunakan Partial Least Squares- Structural Equation Modeling (PLS-SEM). Estimasi parameter model dilakukan dengan menggunakan algoritma PLS-SEM yang didasarkan pada metode Ordinary Least Square (OLS). Data penelitian diperoleh melalui penyebaran 89 kuesioner terhadap mahasiswa yang terdaftar pada google classroom mata kuliah Probabilitas dan Statistika pada Semester Gasal 2017-2018 di STMIK Sumedang. Hasil analisis menunjukkan bahwa kualitas informasi, kualitas antar muka penggunan dan kualitas interaksi layanan tidak berpengaruh secara signifikan terhadap tingkat kepuasan mahasiswa dengan total pengaruh berturut-turut 0,149; 0,011 dan -0,155. Sementara variabel kegunaan berpengaruh secara signifikan terhadap tingkat kepuasan mahasiswa dengan total pengaruh sebesar 0,707. Keywords : partial least squares, pls-sem, webqual 4.0

An fMRI study examining spatial navigation through a virtual environment: Partial least squares analysis

2005 ◽  
Author(s):  
Richard Mraz ◽  
Nancy J. Lobaugh ◽  
Genevieve Quintin ◽  
Konstantine K. Kakzanis ◽  
Simon J. Graham
Keyword(s):  
Least Squares ◽  
Virtual Environment ◽  
Partial Least Squares ◽  
Spatial Navigation ◽  
Partial Least Squares Analysis ◽  
Fmri Study

Controlling in der Produktentwicklung

Controlling ◽  
2020 ◽  
Vol 32 (3) ◽  
pp. 45-50
Author(s):  
Marc Janka
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Finite Mixture

Gemeinhin gilt die Annahme, dass das Controlling für viele deutsche Unternehmen auch oder besonders in der Produktentwicklung von großer Bedeutung ist und vor allem unter Umfeldunsicherheit ein wesentlicher Erfolgsfaktor sein kann. Der vorliegende Beitrag zeigt unter Anwendung einer für die Controlling-Forschung neuartigen Methode zur Schätzung von Mischverteilungen mittels partieller Regressionen (englisch finite mixture partial least squares [FIMIX-PLS]), ob diese Annahme für alle Unternehmen gleichermaßen gilt.

Partial Least Squares Strukturgleichungsmodellierung

2017 ◽  
Author(s):  
Joseph F. Hair ◽  
Sven Hauff ◽  
G. Tomas M. Hult ◽  
Nicole F. Richter ◽  
Christian M. Ringle ◽  
...  
Keyword(s):  
Least Squares ◽  
Partial Least Squares
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