scholarly journals A Structural Equation Modeling Analysis on Practicum Satisfaction of the Vietnamese Business Students

2019 ◽  
pp. 172-182
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Business Students ◽  
Group Analysis ◽  
Organizational Factors ◽  
Equation Modeling ◽  
Individual Factors ◽  
Knowledge And Skills ◽  
The Individual

Practicum in a given host company provides an opportunity for Business students to practice and enhance their knowledge and skills that can likely promote their motivation and later marketability. In doing the practicum, students are not only considered as learners, but they are also regarded as workers in the job force. Many students might need support from their universities as well as from the supporting system in the host companies. The purpose of this research was to investigate the students’ satisfaction with their practicum programs and the individual and organizational factors that would affect it. Participants were 269 (68 males and 201 females) sophomore and junior undergraduate Business students from a university of southern Vietnam. Each completed a survey collected after they finished their practicum which consists of demographic information, questions about the organizational factors (19 items), individual factors (20 items), and overall practicum satisfaction (4 items). Confirmatory factor analysis was conducted and deleted 6 items to achieve convergent and discriminant validity. Structural equation modeling was used to analyze the potential mediating effects of organizational factors on the relationship between individual factors and Practicum satisfaction. Results showed the direct effect between individual factors and Practicum satisfaction. A further multi-group analysis found a similar pattern of the path on females and males. The results suggest the student’s knowledge and skills are crucial factors which related to their practicum satisfaction, organizational factors, on the other hand, are positively correlated with individual factors, however, do not affect their practicum satisfaction.

scholarly journals Role of Passion as a Mediator between Motivational and Individual Traits of Technology Entrepreneurs

2019 ◽  
Vol 8 (4) ◽  
pp. 12279-12286
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Vital Role ◽  
Primary Data ◽  
Equation Modeling ◽  
Individual Factors ◽  
The Individual

Background and Objectives:Technology today plays a major role in devising a creative business idea and implementing the same. The process of translating an idea into business depends on the individual who is able to harness his individual potential and self-motivation to bring about a business venture. This paper aims at devising a structural equation model on the individual factors and motivational factors which can bring about a technological business venture. Methods: A conceptual framework has been prepared and tested with a structural equation model. The study was conducted with primary data collected from 100 techno entrepreneurs in the city of Chennai and Bangalore using a structured questionnaire. Results: Exploratory Factor Analysis (EFA) confirmatory factor analysis (CFA) and structural equation modeling has been used to identify the various motivational and individual factors that facilitateindividuals becoming entrepreneurs taking up businesses which use technology for its growth. Structural equation modeling was used to test the hypothesis. Conclusions:The findings highlight the individual and motivational the factors create a spur that sets a tone to play a vital role in establishing a enterprise that is technology driven.

scholarly journals Managerial Leadership and Performance as Fully Mediated by Transformational Leadership through Structural Equation Modeling

2021 ◽  
Vol 04 (06) ◽  
Author(s):  
Arthur Ong Buenavista ◽  
Keyword(s):  
Transformational Leadership ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
School Administrators ◽  
Information Criterion ◽  
Equation Modeling ◽  
Managerial Leadership ◽  
Equivalent Models ◽  
And Performance

This study investigated the relationships among managerial leadership, transformational leadership, and performance of school administrators of Northern Iloilo Polytechnic State College (NIPSC) through Structural Equation Modeling (SEM). Covariance-Based SEM (CB-SEM), Confirmatory Factor Analysis (CFA) with its default Maximum Likelihood Estimation (MLE) were used to test the hypothesized model that managerial leadership covary transformational leadership which were both related to the school administrators’ performance. Results revealed that of the eight alternative models, two equivalent models, one model generates every probability distribution that can be generated by another model, Model B3 and Model D3 were generated, got the smallest Alkaike Information Criterion (AIC) and Bayes Information Criterion (BIC) indicating that both models had relatively better fit. Model B3 and Model D3 have the same degrees of freedom but feature a different configuration of paths among the same variables. However, of the two equivalent models, model B3 was rejected due to discriminant validity concerns while model D3 passed both measurement model and structural model, model D3 was confirmed and retained. As contribution to the fields of education, management and leadership, the researcher confirmed and recommends, through CB-SEM using CFA with its default MLE, the Managerial Leadership and Performance as fully mediated by Transformational Leadership Model.

To Be Or Not To Be Visible In Company-Managed Virtual Communities?

2014 ◽  
Vol 5 (4) ◽  
pp. 20-37
Author(s):  
Imene Ben Yahia
Keyword(s):  
Structural Equation Modeling ◽  
Relationship Quality ◽  
Relationship Marketing ◽  
Structural Equation ◽  
Virtual Communities ◽  
Group Analysis ◽  
Virtual Community ◽  
Equation Modeling ◽  
Modeling Techniques ◽  
The Relationship

This research investigates how the companies' efforts' visibility influence VCs members' loyalty. Based on the relationship marketing and the signaling theory, it posits that perceived benefits by members influence loyalty through the full mediation of the relationship investments and the relationship quality. However, this influence is moderated by the visibility of companies' efforts. Data from 342 members of company-managed virtual communities were collected. The sample was divided into two groups according to the visibility of the company's efforts. Data were analyzed using structural equation modeling techniques and multi-group analysis. Results show that this influence is significant when the efforts of the company are visible and not significant when they are not. Providing benefits to members is then not enough to foster loyalty. The company has to be a visible partner who contributes in the success of the virtual community.

Present-orientation and the outcome of contemplating death

2015 ◽  
Vol 27 (3) ◽  
pp. 312-329
Author(s):  
Ryo Ishii
Keyword(s):  
Young Adults ◽  
Structural Equation Modeling ◽  
Direct Effect ◽  
Young Adulthood ◽  
Structural Equation ◽  
Time Perspective ◽  
Ego Identity ◽  
Equation Modeling ◽  
Before And After ◽  
The Individual

The purpose of this study was to test the hypothesis that the outcome of contemplating death during young adulthood, a change in time attitude, is influenced by present-orientation via the views of death. A total of 199 undergraduates responded to a questionnaire assessing time attitude and present-orientation before and after the assignment to contemplate death. The results of structural equation modeling revealed that present-orientation has a direct effect on the outcome, but the view of death does not have a mediated effect. The results of ANOVA also supported the direct effect of present-orientation. The analysis of the individual description showed that present-orientation has relevance with how to think life after contemplating death. The relationships between contemplating death and young adults’ ego identity which is closely related to time perspective were discussed.

Evaluating the Construct Validity of Ryff’s Scales of Psychological Well-Being Using Exploratory Structural Equation Modeling

2016 ◽  
Vol 35 (6) ◽  
pp. 633-638 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Tze-Li Hsu ◽  
KoFan Lee ◽  
Lori Wolff
Keyword(s):  
Structural Equation Modeling ◽  
Construct Validity ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Well Being ◽  
The United States ◽  
Equation Modeling ◽  
Exploratory Structural Equation Modeling ◽  
Psychological Well Being ◽  
Measurement Models

The purpose of this study was to evaluate the construct validity of Ryff’s Scales of Psychological Well-Being (SPWB) using exploratory structural equation modeling (ESEM). The data were drawn from the national survey of Midlife in the United States conducted during 1994 and 1995. Measurement models assuming different number of factors (1-6 factors) and considering the effect of negatively wording items were specified and compared to determine optimal number of underlying factors. The discriminant validity was assessed following Farrell’s suggestions. The results showed the discriminant validity was questionable due to five indicators with considerable cross-loadings.

scholarly journals Effect of practical training on the learning motivation profile of Japanese pharmacy students using structural equation modeling

2017 ◽  
Vol 14 ◽  
pp. 2 ◽  
Author(s):  
Shigeo Yamamura ◽  
Rieko Takehira
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Training Programs ◽  
Group Analysis ◽  
Learning Motivation ◽  
Self Determination ◽  
Pharmacy Students ◽  
Equation Modeling ◽  
Practical Training ◽  
Multiple Group

Purpose: To establish a model of Japanese pharmacy students’ learning motivation profile and investigate the effects of pharmaceutical practical training programs on their learning motivation. Methods: The Science Motivation Questionnaire II was administered to pharmacy students in their 4th (before practical training), 5th (before practical training at clinical sites), and 6th (after all practical training) years of study at Josai International University in April, 2016. Factor analysis and multiple-group structural equation modeling were conducted for data analysis. Results: A total of 165 students participated. The learning motivation profile was modeled with 4 factors (intrinsic, career, self-determination, and grade motivation), and the most effective learning motivation was grade motivation. In the multiple-group analysis, the fit of the model with the data was acceptable, and the estimated mean value of the factor of ‘self-determination’ in the learning motivation profile increased after the practical training programs (P= 0.048, Cohen’s d= 0.43). Conclusion: Practical training programs in a 6-year course were effective for increasing learning motivation, based on ‘self-determination’ among Japanese pharmacy students. The results suggest that practical training programs are meaningful not only for providing clinical experience but also for raising learning motivation.

scholarly journals Modeling The Influential Factors Of 8th Grades Student’s Mathematics Achievement In Malaysia By Using Structural Equation Modeling (SEM)

2014 ◽  
Vol 3 (4) ◽  
pp. 172
Author(s):  
Ahmad Nazim
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Secondary Data ◽  
Sampling Technique ◽  
Influential Factors ◽  
Equation Modeling ◽  
Cluster Sampling ◽  
Accuracy And Precision ◽  
Best Fit

This research demonstrates the application of Structural Equation Modeling (SEM) method in order to obtain the best fit model for a more efficient and accurate inter-relationship among variables findings and interpretation. For the purpose of this study, secondary data of Trends in International Mathematics and Science Study (TIMSS) was used. The questionnaire were distributed by using two stage stratified cluster sampling technique to 5733 eighth grades students in Malaysia. A Confirmatory Factor Analysis (CFA), Discriminant Validity and Path Analysis had been conducted to obtain the best fit model of SEM. At the end of the study, a best fit model will be obtained for a better accuracy and precision estimation in further analysis.

scholarly journals Determinants of Green Innovation to Achieve Sustainable Business Performance: Evidence From SMEs

2021 ◽  
Vol 12 ◽  
Author(s):  
Yasser Baeshen ◽  
Yasir Ali Soomro ◽  
Muhammad Yaseen Bhutto
Keyword(s):  
Structural Equation ◽  
Discriminant Validity ◽  
Group Analysis ◽  
Integrative Model ◽  
Equation Modeling ◽  
Group Differences ◽  
Green Innovation ◽  
Bottom Line ◽  
Significant Group ◽  
Sustainable Performance

Environmental degradation and global warming are major challenges to humankind in the twenty-first century. Thus, businesses are now adopting and incorporating more sustainable manufacturing methods to produce environmental products and services. It is inevitable for organizations to adopt green practices and achieve sustainable performance. This extant research addresses how to obtain sustainable development (SD) through green innovation (GRIN). The main purpose of this study is to develop a comprehensive model by integrating natural resource-based view (NRBV) and triple bottom line (TBL) framework. Three antecedents namely green absorptive capacity (GAC), sustainable human capital (SHC), and organization support (OS) were selected, and their influence was checked on GRIN of the SMEs from manufacturing sector. This study included all three factors of TBL: environmental, economic, and social sustainability in terms of GRINs possible consequences. Data were randomly collected from 304 firms in the kingdom of Saudi Arabia through questionnaire. Convergent and discriminant validity analyses were conducted to assure validity and reliability, and structural equation modeling (SEM) was utilized to assess the relationships between variables using smartPLS 3.0 software. Further, firms were categorized into two groups based on company size—small and medium—to explore group differences. Hence, firm size was included as a moderator in the proposed model and multi-group analysis (MGA) was performed. The results indicate that GAC, SHC, and OS have positive influence on GRIN within SMEs. Further, results reveal GRIN had strong significant impact on all three variables of sustainable performance. The study concludes with MGA results that provided evidence of significant group differences, with a stronger relationship between GAC and GRIN in medium-sized firms compared to small-sized firms. Similarly, the relationship between GRIN and environmental performance was stronger in medium-sized firms than small-sized firms. This study is unique and provides practical and theoretical implications. This paper offers an integrative model for sustainability which may be of interest to scholars, marketers, and policymakers.

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