Exploring the Antecedents of Iranian College Students’ Residential Satisfaction using Structural Equation Modeling

2021 ◽  
Vol 50 (1) ◽  
pp. 93-108
Author(s):  
Mohammad‐Taghi Nazarpour ◽  
Saeid Norouzian‐Maleki
Keyword(s):  
College Students ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Residential Satisfaction ◽  
Equation Modeling

scholarly journals Analysis of Influencing Factors of College Students’ Intention to Repeated Blood Donation Based on Structural Equation Modeling

2021 ◽  
Author(s):  
Lingling Pan ◽  
Wei Hu ◽  
Wenjuan Han ◽  
Yingying Wang
Keyword(s):  
College Students ◽  
Structural Equation Modeling ◽  
Influencing Factors ◽  
Structural Equation ◽  
Blood Donation ◽  
Behavioral Control ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Behavior Intention ◽  
Donation Behavior

AbstractTo research the influencing factors of college students' blood donation behavior intention and propose intervention strategies to improve the repeated blood donation rate of college students. Questionnaire survey was used to research and analyze the influencing factors of behavior intention. Amos 21.0 software was used to establish structural equation modeling and perform confirmatory factor analysis. SPSS 20.0 was used for statistic. The model was proved with highly adaptability, with χ2/df = 2.956 < 3. Factors influencing college students' intention of repeat blood donation behavior can be summarized into four: attitude, external motivation, advice-taking, and perceived behavioral control. Among them, attitude and perceived behavioral control have a great direct impact on behavioral intention, while the external motivation and recommendation acceptance have an indirect impact by influencing the other two factors. In view of those evaluation items with high path coefficient in each factor, we can develop recruitment strategies to influence college students’ repeated blood donation behavior and provide scientific suggestions for improving their repeated blood donation rate.

Investigating the Relationships Among Resilience, Social Anxiety, and Procrastination in a Sample of College Students

2018 ◽  
Vol 122 (1) ◽  
pp. 231-245 ◽  
Author(s):  
Chen-Yi Amy Ko ◽  
Yuhsuan Chang
Keyword(s):  
College Students ◽  
Structural Equation Modeling ◽  
Social Anxiety ◽  
Learning Strategies ◽  
Structural Equation ◽  
Current Knowledge ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Psychological Interventions ◽  
The Relationship

This study investigated the relationships among resilience, social anxiety, and procrastination in a sample of college students. Specifically, structural equation modeling analyses were applied to examine the effect of resilience on procrastination and to test the mediating effect of social anxiety. The results of this study suggested that social anxiety partially mediated the relationship between resilience and procrastination. Students with higher levels of resilience reported a lower frequency of procrastination behavior, and resilience had an indirect effect on procrastination through social anxiety. The results of this study clarify the current knowledge of the mixed results on resilience and procrastination behaviors and offer practical learning strategies and psychological interventions.

scholarly journals College students’ reception of social networking tools for learning in India: an extended UTAUT model

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Irum Alvi
Keyword(s):  
Higher Education ◽  
College Students ◽  
Structural Equation Modeling ◽  
Social Networking ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Utaut Model ◽  
Intrinsic Values ◽  
Social Networking Tools

AbstractThe term Social Networking Tools is used for social media applications accessible via mobile devices/smartphones; their use has become ubiquitous among college students, especially after the COVID 19 Pandemic, due to which the institutes of Higher education were shut down. A research gap was identified as the students’ acceptance of these learning tools has not been studied to the best of the author’s information, in India. The current study employs the conceptual model based on the UTAUT model by Venkatesh et al. (MIS Q 27(3):425–478, 2003), extended and modified by Khechine et al. (Br J Educ Technol 51 2306–2325, 2020. 10.1111/bjet.12905). The sample comprised 305 students, 48 females (15.7%) and 257 males (84.3%), with an average age of 18 years. Partial least squares structural equation modeling (PLS-SEM), a methodology of structural equation modeling which allows the assessment of any complex cause-effect model comprising latent variables was used for assessing the hypothesized model using SmartPLS version 3.2.9. The results show that the college students were impacted by Performance Expectancy PE, Effort expectancy EE, and Social Influence SI in shaping their behavioral intention BIU; Facilitating conditions FC and Intrinsic Values IV didn’t influence their behavioral intention. However, their behavioral intention BIU and their Intrinsic Values (IV) influenced their intention to use (IU) social networking tools for learning for Higher education, in the Indian context.

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