Covariance Based Structural Equation Modeling In Analysis Of Adjustment Relationship To Culture Shock Student Post Pandemi Covid-19

Covariance Based Structural Equation Modeling in Analysis of Adjustment Relationship to Culture Shock Student Post Pandemi Covid-19

Introduction

The COVID-19 pandemic has had a significant impact on the lives of students worldwide, particularly in terms of their ability to adjust to new environments and cultures. As students return to campus, they face various social and academic challenges that can lead to culture shock. Understanding the relationship between adjustment and culture shock is crucial for educational institutions to design effective support programs for students. In this study, we employed Covariance-Based Structural Equation Modeling (CB-SEM) to analyze the relationship between adjustment and culture shock among Forestry students at the University of North Sumatra.

Background

Structural Equation Modeling (SEM) is a multivariate statistical method that allows researchers to analyze the causal relationship between indicator variables and latent variables, as well as the interaction between latent variables themselves. CB-SEM is a specific approach within SEM that focuses on estimating the covariance between variables. In this study, we used the estimated maximum likelihood (ML) method to obtain more accurate results.

Methodology

This study aimed to identify the correlation rate and significance between students' adjustments and their cultural shock. A survey was conducted on 200 Forestry students at the University of North Sumatra, consisting of 72 male students and 128 female students. The respondents were divided into two generations: 91 respondents from the class of 2021 and 109 respondents from the class of 2022.

Results

The results of the analysis showed that the affective latent variable can be described by 40% by the latent and extroverted latent variables, while the remaining 60% is influenced by other variables. In addition, the latent behavior variable has an explanation value of 29% derived from affective latent variables, with the remaining 71% explained by other factors. Cognitive latent variables recorded can be explained by 48% by affective, behavior, and extroverted latent variables, while the remaining 52% comes from other variables.

Discussion

The results of the analysis show that the relationship between self-adjustment and culture shock among Forestry students at the University of North Sumatra has a medium size. This means there is a significant relationship, although not too strong, between the ability of students to adjust and the level of culture shock they feel. The model used in this study also shows a high Goodness of Fit (GOF), which indicates that the model is in accordance with the data obtained.

Implications

This analysis has an important value in understanding the impact of the Pandemi Covid-19 on student experience in adapting to a new environment. By knowing how much the influence of adjustment on culture shock, educational institutions can design more effective support programs to help students face social and academic challenges after returning to campus. In addition, this research can be a reference for further researchers who want to explore more deeply about aspects of adjustment and their impact on students, especially in the post-Pandemic context.

Conclusion

The use of Covariance-Based Structural Equation Modeling as an analysis tool in this study provides valuable insights about the social dynamics faced by students, and enables stakeholders to formulate better strategies in supporting the process of adjusting students in this challenging period. The findings of this study can contribute to the development of more effective support programs for students, particularly in the post-Pandemic context.

Recommendations

Based on the findings of this study, we recommend that educational institutions design support programs that focus on helping students adjust to new environments and cultures. These programs should include activities that promote social interaction, cultural awareness, and academic support. Additionally, researchers should continue to explore the aspects of adjustment and their impact on students, especially in the post-Pandemic context.

Limitations

This study has several limitations. Firstly, the sample size was relatively small, which may limit the generalizability of the findings. Secondly, the study only focused on Forestry students at the University of North Sumatra, which may not be representative of students from other disciplines or institutions. Finally, the study only analyzed the relationship between adjustment and culture shock, and did not explore other factors that may influence student adjustment.

Future Research Directions

Future research should aim to explore the aspects of adjustment and their impact on students in more depth. This can be done by conducting a larger-scale study that includes students from different disciplines and institutions. Additionally, researchers should explore other factors that may influence student adjustment, such as family background, socioeconomic status, and academic performance.

References

• [List of references cited in the study]

Appendix

• [Appendix materials, such as additional tables, figures, and raw data]
  Frequently Asked Questions (FAQs) about Covariance-Based Structural Equation Modeling in Analysis of Adjustment Relationship to Culture Shock Student Post Pandemi Covid-19

Q: What is Covariance-Based Structural Equation Modeling (CB-SEM)?

A: CB-SEM is a statistical method used to analyze the relationship between variables in a complex system. It is a type of Structural Equation Modeling (SEM) that focuses on estimating the covariance between variables.

Q: What is the purpose of this study?

A: The purpose of this study is to identify the correlation rate and significance between students' adjustments and their cultural shock. The study aims to understand the relationship between self-adjustment and culture shock among Forestry students at the University of North Sumatra.

Q: What is the significance of this study?

A: This study is significant because it provides valuable insights about the social dynamics faced by students, particularly in the post-Pandemic context. The findings of this study can contribute to the development of more effective support programs for students.

Q: What are the limitations of this study?

A: This study has several limitations. Firstly, the sample size was relatively small, which may limit the generalizability of the findings. Secondly, the study only focused on Forestry students at the University of North Sumatra, which may not be representative of students from other disciplines or institutions. Finally, the study only analyzed the relationship between adjustment and culture shock, and did not explore other factors that may influence student adjustment.

Q: What are the implications of this study?

A: The implications of this study are that educational institutions can design more effective support programs to help students face social and academic challenges after returning to campus. The study also highlights the importance of understanding the impact of the Pandemi Covid-19 on student experience in adapting to a new environment.

Q: What are the recommendations of this study?

A: Based on the findings of this study, we recommend that educational institutions design support programs that focus on helping students adjust to new environments and cultures. These programs should include activities that promote social interaction, cultural awareness, and academic support.

Q: What are the future research directions of this study?

A: Future research should aim to explore the aspects of adjustment and their impact on students in more depth. This can be done by conducting a larger-scale study that includes students from different disciplines and institutions. Additionally, researchers should explore other factors that may influence student adjustment, such as family background, socioeconomic status, and academic performance.

Q: What are the key findings of this study?

A: The key findings of this study are that the relationship between self-adjustment and culture shock among Forestry students at the University of North Sumatra has a medium size. This means there is a significant relationship, although not too strong, between the ability of students to adjust and the level of culture shock they feel. The model used in this study also shows a high Goodness of Fit (GOF), which indicates that the model is in accordance with the data obtained.

Q: What are the practical implications of this study?

A: The practical implications of this study are that educational institutions can use the findings of this study to design more effective support programs for students. The study also highlights the importance of understanding the impact of the Pandemi Covid-19 on student experience in adapting to a new environment.

Q: What are the theoretical implications of this study?

A: The theoretical implications of this study are that it contributes to the development of a deeper understanding of the relationship between adjustment and culture shock. The study also highlights the importance of considering the impact of the Pandemi Covid-19 on student experience in adapting to a new environment.

Q: What are the limitations of the CB-SEM method used in this study?

A: The limitations of the CB-SEM method used in this study are that it assumes a linear relationship between variables, which may not always be the case. Additionally, the method assumes that the variables are measured without error, which may not always be the case.

Q: What are the advantages of the CB-SEM method used in this study?

A: The advantages of the CB-SEM method used in this study are that it allows for the analysis of complex relationships between variables, and it provides a comprehensive understanding of the relationships between variables.