scholarly journals Sustainable Tourism and Facilities Preferences: The Sustainable Tourist Stay Scale (STSS) Validation

2020 ◽  
Vol 12 (22) ◽  
pp. 9767
Author(s):  
Alessandra Fermani ◽  
Maria Rita Sergi ◽  
Angelo Carrieri ◽  
Isabella Crespi ◽  
Laura Picconi ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Young People ◽  
Structural Equation ◽  
Total Sample ◽  
Self Report ◽  
Practical Applications ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Structural Invariance ◽  
Explorative Factor Analysis

This study aims to start the development of the Sustainable Tourist Stay Scale (STSS), a self-report instrument designed to measure tourists’ preferences regarding the degree to which they accept accommodation and programs in tourism facilities with sustainable characteristics. The research involved a total sample of 621 participants aged 18 to 74 (m = 41.75%; f = 58.25%). According to the literature and the available data, we considered the possibility that young people (millennials) and adults within the same sample may show peculiarities concerning the sustainability issues. We carried out three subsequent analyses: (1) an explorative factor analysis; (2) a confirmatory factor analysis via structural equation modelling; (3) the test of the structural invariance between young people and adults. The results supported a three-factor scale solution and they are discussed with reference to their potential practical applications to better understanding the preference for a sustainable stay.

scholarly journals MICE tourism development- Examination from the supply side in Dalat City, Vietnam

2020 ◽  
Author(s):  
Ha Nam Khanh Giao ◽  
Le Thai Son
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Supply Side ◽  
Policy Makers ◽  
Factors Affecting ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Main Factors

The research attempted to examine resource factors affecting the development of MICE at Dalat, by determining the stakeholders, and by interviewing 350 resources (means from the supply side). The methods of Cronbach’s Alpha, Exploratory Factor Anaalysis (EFA), Confirmatory Factor Analysis (CFA) together the Structural Equation Modelling (SEM) were used by the programs of SPSS and AMOS.The result shows that MICE development is affected by MICE destination resources, then MICE destination resources is affected by 3 main factors, arranged by the importance decreasing: (1) Organization resources; (2) MICE tourist resources; (3) Supplier resources. From that, the research raises some solutions for management and policy makers to develop MICE better.

scholarly journals Loneliness and Problematic Internet Use (PIU) as Causes of Academic Procrastination

2018 ◽  
Vol 6 (2) ◽  
pp. 113 ◽  
Author(s):  
Esther Widhi Andangsari ◽  
Achmad Djunaidi ◽  
Efi Fitriana ◽  
Diana Harding
Keyword(s):  
Young Adults ◽  
Young People ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Self Report ◽  
The Internet ◽  
Academic Procrastination ◽  
Equation Modelling ◽  
Language Data ◽  
Age Range

It is now undeniable that young people and the Internet has become inseparable. Nonetheless, the uncontrolled use of it causes many problems among young adults including academic procrastination. Previous studies stated that academic procrastination lead to low of academic achievement. The reason of why young adults use the internet excessively and got negative outcomes in academic life did not stated clearly. The objective of this study was to find out the empirical evidence of PIU as a mediator between loneliness and academic procrastination. Sample consisted of 320 undergraduate students from 10 universities. Age range was 17-25 years old (M=20.17, SD=1.49). They were given three self-report questionnaires such as GPIUS2, SELSA, and TPS. Those instruments were adapted in Indonesian language. Data were analyzed with Structural Equation Modelling (SEM). The results showed that the model was good fit (χ2=416.541, df=205, p<0.001, CFI=0.902, TLI=0.879, SRMR=0.068, RMSEA=0.057, 90% CI:0.049-0.065, p good to fit 0.05). This study give contribution on loneliness, PIU, and academic procrastination as one model. It also gives implication of social media using among young people and policy making in universities about students life.

scholarly journals Driving locus of control: The Czech adaptation

2021 ◽  
Vol 65 (1) ◽  
pp. 86-100
Author(s):  
Vít Gabrhel ◽  
◽  
Stanislav Ježek ◽  
Petr Zámečník
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Factor Model ◽  
One Dimensional ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
The One

Objectives. This study attempts to introduce the Driving Locus of Control (DLoC), a method focused on the internal or external source of attribution of the driving behaviour, to the Czech context. This study also relates DLoC to attitudes towards autonomous vehicles (AVs). Participants and setting. Out of the general population, 59 inquirers personally interviewed (CAPI) 1 065 respondents (49% women) in the age range between 15 and 92 years (M = 50, SD = 17). The respondents were sampled via multistage random sampling procedure, based on the list of addresses in the Czech Republic. Hypotheses. The authors hypothesised to replicate the original two-factor structure of the DLoC Scale and that the higher levels of internal DLoC result in not considering the improvement in traffic safety as the AVs replace human drivers. Statistical analysis. Confirmatory factor analysis was used to analyse the factor structure of DLoC Scale. Hypotheses related to the empirical validity of the method were assessed via structural equation modelling. The reliability of DLoC Scale was calculated in terms of internal consistency (McDonald coefficient). Results. Confirmatory factor analysis revealed reasonably good support for structural validity of the one-dimensional DLoC-CZ15 factor model (χ2 = 426.967, df = 90, CFI = 0.964, TLI = 0.958, SRMR = 0.066, RMSEA = 0.065). In addition, the one-dimensional DLoC-CZ15 factor model showed acceptable internal consistency - ω = 0.9 (95% CI [0.89, 0.91]). The structural equation modelling found a relationship between DLoC and some of the items capturing attitudes towards AVs, too. Study limitations. The analysed data were obtained via interviews between respondents and inquirers. As a result, the study does not contain indicators of empirical validity measured by a methodologically different approach, such as an observation of driving behaviour.

scholarly journals Mapping site-based construction workers’ motivation: Expectancy theory approach

2014 ◽  
Vol 14 (1) ◽  
pp. 60-77 ◽  
Author(s):  
Parviz Ghoddousi ◽  
Nima Bahrami ◽  
Nicholas Chileshe ◽  
M.Reza Hosseini
Keyword(s):  
Factor Analysis ◽  
Construction Industry ◽  
Structural Equation ◽  
Expectancy Theory ◽  
Construction Workers ◽  
Theory Approach ◽  
Equation Modelling ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Intrinsic Motivators

The aim of this study is to apply a recently proposed model of motivation based on expectancy theory to site-based workers in the construction context and confirm the validity of this model for the construction industry. The study drew upon data from 194 site-based construction workers in Iran to test the proposed model of motivation. To this end, the structural equation modelling (SEM) approach based on the confirmatory factor analysis (CFA) technique was deployed. The study reveals that the proposed model of expectancy theory incorporating five indicators (i.e. intrinsic instrumentality, extrinsic instrumentality, intrinsic valence, extrinsic valence and expectancy) is able to map the process of construction workers’ motivation. Nonetheless, the findings posit that intrinsic indicators could be more effective than extrinsic ones. This proffers the necessity of construction managers placing further focus on intrinsic motivators to motivate workers. 

scholarly journals The Relationship between Optimism, Pre-Entrepreneurial Curiosity and Entrepreneurial Curiosity

Organizacija ◽  
2014 ◽  
Vol 47 (3) ◽  
pp. 199-209 ◽  
Author(s):  
Mitja Jeraj
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Important Determinant ◽  
Equation Model ◽  
Policy Makers ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Theoretical View ◽  
Psychology Literature ◽  
The Relationship

AbstractBackground: Entrepreneurship and entrepreneurs become more and more interesting fields for a scientific research. This paper addresses the relationship between optimism, pre-entrepreneurial curiosity and entrepreneurial curiosity as three determinants of entrepreneurial psychology. Literature review showed optimism is important for entrepreneurs and influence them mostly in a positive way. Although entrepreneurial curiosity is important determinant for entrepreneurs and it was connected with entrepreneurial self-efficacy, openness, and company's growth the connection with optimism remained unexplored until this research.Methods: A multi-country empirical validation was conducted on a sample of entrepreneurs from Slovenia and USA. A structural equation modelling, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to develop a model, which complement theoretical predisposition and fit the data.Results: The results of the study show that higher levels of optimism lead to higher levels of pre-entrepreneurial curiosity and higher levels of pre-entrepreneurial curiosity lead to higher levels of entrepreneurial curiosity.Conclusions: The contribution of this study is manifold. From the theoretical view, a literature gap on the field of optimism and entrepreneurial curiosity combined is fulfilled and a structural equation model with optimism and entrepreneurial curiosity was established. Since openness, pre-entrepreneurial curiosity and entrepreneurial curiosity are related policy makers can test individuals according to their level of researched determinants and motivate more entrepreneurial perspective ones to become active in the entrepreneurship process. Thus, entrepreneurs can use these results to recruit more entrepreneurial oriented employees.

scholarly journals PENGGUNAAN ANALISIS STRUCTURAL EQUATION MODELLING (SEM) SECOND ORDER DALAM MENGIDENTIFIKASI PENGARUH KECERDASAN EMOSIONAL DAN INTELEKTUAL TERHADAP PRESTASI BELAJAR

2012 ◽  
Vol 4 (2) ◽  
pp. 37-49
Author(s):  
Anik Anekawati
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Second Order ◽  
Equation Modelling ◽  
Confirmatory Factor

Kecerdasan emosional dan kecerdasan intelektual mempunyai peranan yang sangat penting dalam upaya peningkatan kualitas hasil belajar. Salah satu diantara mereka tidak boleh ada yang dimarginalkan. Tujuan penelitian ini adalah mengidentifikasi indikator-indikator apa saja yang dapat digunakan untuk mengukur kecerdasan emosional dan kecerdasan intelektual, serta bagaimana pengaruh kecerdasan emosional dan kecerdasan intelektual terhadap prestasi belajar. Teknik analisis statistika yang dipakai adalah Structural Equation Modelling Second Order. Pengukuran kecerdasan emosional menggunakan Confirmatory Factor Analysis (CFA) Second Order karena kecerdasan emosional mempunyai lima dimensi, dimana masing-masing dimensi memiliki beberapa indikator, sehingga dilakukan pengujian CFA dua kali. Data yang digunakan dalam penelitian ini merupakan data primer dan sekunder dengan jumlah sampel sebanyak 184. Karena asumsi normalitas multivariat tidak terpenuhi, maka dilakukan estimasi dengan menggunakan prosedur bootstrap. Hasil analisis menunjukkan bahwa model struktural yang dikembangkan berdasarkan teori dalam mengidentifikasi pengaruh kecerdasan emosional dan kecerdasan intelektual terhadap prestasi belajar adalah sesuai dengan studi kasus untuk siswa SMA/MA di Kabupaten Sumenep daratan (diluar di kepulauan). Dari kelima dimensi, hanya dimensi Memotivasi Diri Sendiri yang bisa digunakan untuk mengukur variabel Kecerdasan Emosioanal, sehingga variabel kecerdasan emosional tidak berpengaruh secara nyata terhadap prestasi belajar. Kecerdasan intelektual berpengaruh secara nyata terhadap prestasi belajar siswa sebesar 0,387.

scholarly journals Mengembangkan instrumen pengukuran kekerasan komunikasi pada kelompok WhatsApp di lingkungan kerja dosen

2019 ◽  
Vol 7 (2) ◽  
pp. 238
Author(s):  
Ira Mirawati ◽  
Asep Suryana ◽  
Herlina Agustin ◽  
Mien Hidayat
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Random Sampling ◽  
Structural Equation ◽  
Stratified Random Sampling ◽  
Affective Events Theory ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Affective Events

Berkembang pesatnya media sosial telah memberikan ruang bagi para penggunanya untuk melakukan sekaligus mendapatkan kekerasan komunikasi. Kekerasan komunikasi melalui media sosial dapat terjadi pada berbagai kalangan, termasuk di lingkungan kerja dosen. Perilaku ini terjadi baik disengaja ataupun tidak, serta hadir dalam beragam bentuk bukan semata-mata pesan yang berisi caci maki, kebencian, atau perendahan. Pengalaman kekerasan komunikasi di tempat kerja, baik sebagai pengirim maupun penerima, dapat memiliki konsekuensi bagi emosi dan perilaku kerja seseorang. Berkaitan dengan itu, penelitian ini bertujuan untuk mengembangkan sebuah instrumen pengukuran kekerasan komunikasi yang dialami dosen termasuk emosi yang dirasakan dan perilaku kerja yang dapat dipengaruhinya. Pengembangan instrumen dilakukan dengan mengelaborasi komponen-komponen kekerasan komunikasi, emosi, dan perilaku kerja dengan Affective Events Theory. Pengujian instrumen dilakukan terhadap sampel penelitian yang diambil dengan menggunakan teknik stratified random sampling terhadap dosen perguruan tinggi di kota Bandung. Hasil penelitian menunjukkan terdapat 3 dimensi yang terdiri dari 22 pertanyaan pada variabel kekerasan komunikasi, 2 dimensi yang terdiri dari 14 pertanyaan pada variabel emosi, dan 8 dimensi yang terdiri dari 25 pertanyaan pada variabel perilaku kerja dosen yang valid untuk diukur. Simpulannya adalah bahwa instrument yang dikembangkan pada penelitian ini dapat digunakan dalam penelitian yang mengukur pengaruh kekerasan komunikasi di lingkungan kerja dosen. Penelitian dengan instrumen ini disarankan menggunakan structural equation modelling dengan confirmatory factor analysis.

scholarly journals DAMPAK GAYA KEPEMIMPINAN TRANSFORMASIONAL, KEPEMIMPINAN TRANSAKSIONAL DAN ORIENTASI PEMBELAJARAN TERHADAP KREATIVITAS MAHASISWA DENGAN VARIABEL PEMEDIASI CREATIVE SELF-EFFICACY

2019 ◽  
Vol 3 (2) ◽  
pp. 186-200
Author(s):  
Anne Rumondang Malau ◽  
Gloria Sianipar
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation Modelling ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modelling ◽  
Confirmatory Factor ◽  
Creative Self ◽  
Lisrel Model

Penelitian ini menguji dan menganalisa dampak dari gaya kepemimpinan transformasional, transaksional dan orientasi pembelajaran pada kreativitas mahasiswa dengan menguji peran mediasi creative self efficacy. Penelitian dilakukan pada 110 mahasiswa Fakultas Ekonomi Universitas HKBP Nommensen yang mana, dalam proses pembelajaran hasil akhir yang diharapkan adalah mahasiswa memiliki pola pikir yang kreatif yang nantinya dapat menghasilkan output yang inovatif. Pengumpulan data dilakukan dengan studi survei menggunakan kuesioner. Informasi terkait variabel independen, yaitu kreativitas mahasiswa dikumpulkan melalui dosen yang mengajar di kelas responden tersebut (mahasiswa), hal ini dilakukan supaya tidak terjadi bias dalam melakukan penilaian yang objektif terhadap variabel yang diamati. Pengujian hipotesis menggunakan Structural Equation Modelling (SEM) dengan bantuan LISREL. Model Pengukuran merupakan Confirmatory factor analysis untuk setiap variabel dan Model Struktural untuk melihat hubungan antar variabel yang diamati. Hasil analisis menunjukkan bahwa dosen yang memiliki gaya kepemimpinan transformasional dimediasi oleh creative self efficacy mahasiswa akan menunjukkan pengaruh positif dan signifikan terhadap kreativitas mahasiswa.

Sign in / Sign up

Export Citation Format

Share Document