scholarly journals PENGARUH ENTREPRENEURSHIP CHARACTERISTIC, DAN SELF EFFICACY TERHADAP ENTREPRENEURSHIP INTENSITY (STUDI PADA MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNIVERSITAS JENDERAL SOEDIRMAN)

2018 ◽  
Vol 2 (2) ◽  
pp. 44
Author(s):  
Sofiatul Khotimah ◽  
Viviana Mayasari ◽  
Bambang Sunarko
Keyword(s):  
Structural Equation Modeling ◽  
Path Analysis ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Cross Sectional

Penelitian ini secara garis besar bertujuan untuk melihat pengaruh entrepreneurship characteristic, adversity intelligence, self efficacy terhadap entrepreneur intention. Penelitian ini menggunakan Structural Equation Modeling (SEM) teknik modeling statistik yang bersifat cross-sectional menggunakan analisis jalur (path analysis). Saat ini penelitian yang terkait pengaruh entrepreneurship characteristic, self efficacy  dan entrepreneur intention masih sangatlah  terbatas padahal hal tersebut sangat penting untuk melihat kesiapan personal untuk melakukan kegiatan berwirausaha yang dalam  penelitian ini menggunakan proxy entrepreneurship characteristic, self efficacy  dan entrepreneur intention. Kuesioner yang digunakan pada penelitian ini menggunakan kepribadian entrepreneur kuesioner yang mengacu pada alat ukur Entrepreneurial Charactersitics Questionnaire (ECQ). Hasil Penelitian menunjukkan terdapat hubungan positif signifikan entrepreneurship characteristic terhadap entrepreneurship intensity pada mahasiswa Pendidikan Ekonomi Fakultas Ekonomi Unsoed. Self  efficacy berpengaruh positif signifikan terhadap entrepreneurship intensity. Kata Kunci : entrepreneurship characteristic, self efficacy, dan entrepreneur intention   

scholarly journals ANALISA PENGARUH KECERDASAN ADVERSITAS, KEPRIBADIAN ENTREPRENEURSHIP DAN INTERNAL LOCUS OF CONTROL TERHADAP INTENSITAS BERWIRAUSAHA (STUDI PADA FEB UNIVERSITAS JENDERAL SOEDIRMAN)

2018 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Viviana Mayasari ◽  
Dyah Perwita
Keyword(s):  
Structural Equation Modeling ◽  
Locus Of Control ◽  
Path Analysis ◽  
Structural Equation ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Internal Locus ◽  
Internal Locus Of Control

Penelitian ini bertujuan untuk menguraikan pengaruh kecerdasan kesengsaraan, kepribadian kewiraswastaan, lokus pengendalian internal terhadap intensitas kewirausahaan. Penelitian ini menggunakan teknik pemodelan statistik Structural Equation Modeling (SEM) yang bersifat cross sectional dengan menggunakan analisis jalur (path analysis). Penelitian saat ini terkait dengan kecerdasan dan intensitas kewirausahaan masih sangat terbatas bila sangat penting untuk melihat kesiapan pribadi berwirausaha. Kuesioner yang digunakan dalam penelitian ini menggunakan kuesioner kepribadian pengusaha yang mengacu pada alat ukur Wirausaha Karakteristik Wirausaha (ECQ) yang dikembangkan oleh Frank Bezzina (2010).Hasil penelitian menunjukkan bahwa kecerdasan kesengsaraan, kewiraswastaan kepribadian dan lokus kontrol internal berpengaruh secara signifikan terhadap intensitas kewirausahaan. Hasil penelitian ini diharapkan dapat memberikan referensi ilmiah tambahan dan informasi mengenai tingkat intensitas kewiraswastaan, yang dimiliki oleh siswa sehingga dapat memberi masukan pada berbagai program kewirausahaan di FEB Universitas Jenderal Soedirman.

scholarly journals Stress and Its Impact on Academic and Social Life of Undergraduate University Students in Ghana: A Structural Equation Modeling Approach

2020 ◽  
Vol 2 (1) ◽  
pp. 37-44
Author(s):  
Koawo Edjah ◽  
Francis Ankomah ◽  
Ebenezer Domey ◽  
John Ekow Laryea
Keyword(s):  
Structural Equation Modeling ◽  
Undergraduate Students ◽  
Social Life ◽  
Structural Equation ◽  
Positive Impact ◽  
Survey Design ◽  
Equation Modeling ◽  
Cross Sectional Survey ◽  
Satisfaction Scale ◽  
Cross Sectional

AbstractStress is concomitant with students’ life and can have a significant impact on their lives, and even how they go about their academic work. Globally, in every five visits by patients to the doctor, three are stress-related problems. This study examined stress and its impact on the academic and social life among students of a university in Ghana. The descriptive cross-sectional survey design was employed. Using the stratified and simple random (random numbers) sampling methods, 500 regular undergraduate students were engaged in the study. A questionnaire made up of Perceived Stress Scale and Students’ Life Satisfaction Scale was used to gather data for the study. Frequencies, percentages, means and standard deviation, and Structural Equation Modeling (SEM), with AMOS were used for the analyses. It was found that majority of the students were moderately stressed. Paramount among the stressors were academic stressors, followed by institutional stressors, and external stressors. Stress had a significant positive impact on the academic and social life of students. It was concluded that undergraduate students, in one way or the other, go through some kind of stress during the course of their study. It was recommended that the university, through its Students’ Affairs, and Counselling Sections, continue to empower students on how to manage and deal with stress in order to enhance their academic life.

The Irritation Scale as an Instrument to Measure Stress among University Students

2013 ◽  
Vol 16 ◽  
Author(s):  
Enrique Merino-Tejedor ◽  
Joan Boada-Grau ◽  
José C. Sánchez-García ◽  
Pedro Miguel Hontangas-Beltrán
Keyword(s):  
Structural Equation Modeling ◽  
University Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Self Regulation ◽  
Equation Modeling ◽  
International Studies ◽  
Two Factors ◽  
Workplace Setting ◽  
General Self Efficacy

AbstractThe objective of this study was to verify the factor validity and structure of the “Irritation Scale” in a sample of 578 Spanish university students. At the same time, the study aimed to verify the criterion-related validity of the scale, analyzing the results obtained through correlation with other variables, such as general self-efficacy, self-regulation, depression, and certain personality dimensions. The results obtained through the Exploratory Structural Equation Modeling approach (ESEM) using Mplus confirmed the presence of two factors in the Irritation Scale, as observed in other international studies within a workplace setting. The significant correlations obtained between the Irritation Scale and the variables considered in the study confirmed the construct validity and verified that irritation is significantly and positively associated with depression and academic burnout, and is negatively associated with general self-efficacy and self-regulation.

scholarly journals Implementation of Online Hospitals and Factors Influencing the Adoption of Mobile Medical Services in China: Cross-Sectional Survey Study (Preprint)

2020 ◽  
Author(s):  
Huanlin Wang ◽  
LanYu Liang ◽  
ChunLin Du ◽  
YongKang Wu
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Western China ◽  
Medical Services ◽  
Equation Modeling ◽  
Cross Sectional ◽  
Medical Resources ◽  
Hypothesis Model ◽  
Effort Expectancy ◽  
Willingness To Use

BACKGROUND Online hospitals are part of an innovative model that allows China to explore telemedicine services based on national conditions with large populations, uneven distribution of medical resources, and lack of quality medical resources, especially among residents needing to be protected from COVID-19 infection. OBJECTIVE In this study, we built a hypothesis model based on the unified theory of acceptance and use of technology in order to analyze the factors that may influence patients’ willingness to use mobile medical services. This research was designed to assist in the development of mobile medical services. Residents who do not live in urban areas and cannot access medical assistance would greatly benefit from this research, as they could immediately go to the online hospital when needed. METHODS A cross-sectional study based at the West China Hospital, Sichuan University, was conducted in July 2020. A total of 407 respondents, 18 to 59 years old, in Western China were recruited by convenience sampling. We also conducted an empirical test for the hypothesis model and applied structural equation modeling to estimate the significance of path coefficients so that we could better understand the influencing factors. RESULTS Out of 407 respondents, 95 (23.3%) were aware of online hospitals, while 312 (76.7%) indicated that they have never heard of online hospitals before. Gender (<i>P</i>=.048) and education level (<i>P</i>=.04) affected people’s willingness to use online hospitals, and both of these factors promoted the use of online hospitals (odds ratio [OR] 2.844, 95% CI 1.010-8.003, and OR 2.187, 95% CI 1.031-4.636, respectively). According to structural equation modeling, the results of the path coefficient analysis indicated that performance expectancy, effort expectancy, and facilitating conditions have positive effects on patients’ willingness to use online hospitals. CONCLUSIONS The goal of our research was to determine the factors that influence patients’ awareness and willingness to use online hospitals. Currently, the public’s awareness and usage of online hospitals is low. In fact, effort expectancy was the most important factor that influenced the use of online hospitals; being female and having a high education also played positive roles toward the use of mobile medical services.

scholarly journals Loneliness, Emotion Dysregulation, and Internalizing Symptoms During Coronavirus Disease 2019: A Structural Equation Modeling Approach

2021 ◽  
Vol 11 ◽  
Author(s):  
Patrizia Velotti ◽  
Guyonne Rogier ◽  
Sara Beomonte Zobel ◽  
Rosetta Castellano ◽  
Renata Tambelli
Keyword(s):  
Structural Equation Modeling ◽  
Los Angeles ◽  
Internalizing Symptoms ◽  
Emotion Dysregulation ◽  
Structural Equation ◽  
Demographic Data ◽  
Clinical Intervention ◽  
Equation Modeling ◽  
Emotional States ◽  
Cross Sectional

Background: Our study aimed to test the hypotheses that an increased level of loneliness experienced during coronavirus disease 2019 (COVID-19) confinement was predictive of internalizing symptoms and that this pathway was mediated by emotion dysregulation levels.Methods: To reach this aim, we performed an online longitudinal survey recruiting 1,330 participants at Time 1 (at the beginning of the lockdown) and 308 participants at Time 2 (few days before the end of the lockdown). All filled out a set of questionnaires: demographic data, University of California, Los Angeles Loneliness scale, Difficulties in Emotion Regulation Scale−18 items, and Depression Anxiety and Stress Scale−21 items. Hypotheses were tested using structural equation modeling in two steps and controlling for age. First, hypotheses were tested on cross-sectional data. Then, a cross-lagged panel analysis was performed on longitudinal data.Results: Models obtained a good fit and evidenced the predictive role of loneliness levels on the three outcomes (i.e., depression, anxiety, and stress). Moreover, we found that emotion dysregulation levels partially mediated the longitudinal relationship between loneliness and both depression and stress but not between loneliness and anxiety levels.Conclusions: This study points out that a central goal of clinical intervention could be the ability to regulate negative emotional states.

scholarly journals Antecedents Factors Affecting Cyberbullying Risks: A Study In Jordanian Secondary Schools

2020 ◽  
Vol 8 (3) ◽  
pp. 345-349
Author(s):  
Hesham Almomani ◽  
Diya Al-Jabali ◽  
Fayez Bni Mufarrej ◽  
Heba Ahmad
Keyword(s):  
Structural Equation Modeling ◽  
Secondary Schools ◽  
Self Efficacy ◽  
Structural Equation ◽  
Cyber Bullying ◽  
Equation Modeling ◽  
Postgraduate Students ◽  
Factors Affecting ◽  
Research Results

Purpose of the study: In this study, the primary aim is to identify the effects of self-efficacy and cyber bullying knowledge on cyber bullying risks among Jordanian students. Methodology: The population of the study specifically comprised of Jordanian students in Irbid students, with the study sample being 153 students. Accordingly, a questionnaire was developed and disseminated among the students to gather data for the achievement of the study objectives. The study used Structural Equation Modeling (SEM). The study also employed AMOS 23.0 and SPSS 25.0 software in SEM. Main Findings: self-efficacy and cyber bullying knowledge factors do have significant effects on cyber bullying risks. Applications of this study: This research can be used for academic purposes for universities, lecturers of education and management, researchers and undergraduate and postgraduate students. Novelty/Originality of this study: The phenomenon that existed in cyber bullying and referring from various previous research results, the study regarding the cyber bullying was conducted and presented comprehensively and completely. It is necessary examine the effect of self-efficacy and cyber bullying knowledge factors on cyber bullying risks.

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