PERTANYAAN SIDANG SKRIPSI UNTUK KAMU || UNIVERSITAS PAMULANG

Summary

In this video, the host walks viewers through the process of a thesis defense, specifically focusing on the questions asked by examiners and how the candidate answers them. The discussion includes topics such as leadership style, survey methods, and the analysis of data related to employee compensation and performance. The candidate explains their research methodology, including validity and reliability tests, classical assumption tests, and regression analysis. The video aims to provide valuable insights for students preparing for their own thesis defenses, showcasing the key components of a successful academic presentation.

Takeaways

• 😀 The video discusses a thesis defense session that took place on July 27, 2024, with questions from the examiners and answers from the student.
• 😀 The student is conducting research on leadership styles, specifically focusing on leadership effectiveness in managing employees in the workplace.
• 😀 One of the key issues identified was the leadership style at the workplace, with a focus on compensation and leadership skills.
• 😀 The research includes a survey with five indicators: leadership, decision-making ability, motivation skills, communication skills, and emotional management.
• 😀 The survey results are analyzed and presented as percentages, with a focus on the compensation and responsibility aspects of the employees.
• 😀 The researcher employed a 'census sampling' method, where all 60 employees in the population were used as respondents for the survey.
• 😀 Key variables in the study include leadership, compensation, and employee performance, with a focus on quantifiable data such as work quality and quantity.
• 😀 The study used statistical methods including validity and reliability tests, with the reliability coefficient above the standard of 0.6.
• 😀 Assumptions in the data analysis were checked using normality, correlation, and multicollinearity tests, all of which indicated no significant issues.
• 😀 Regression analysis was performed, showing that leadership and compensation positively influenced employee performance, with moderate correlation values for both variables.
• 😀 The presenter concludes the session by thanking viewers and encouraging support for the channel through likes, shares, and subscriptions.

Q & A

What is the focus of the thesis discussed in the video?

The thesis focuses on the relationship between leadership, compensation, and employee performance, specifically exploring how these factors influence employee outcomes in a workplace setting.

What research methodology was used in the study?

The study used a quantitative research methodology, specifically employing a census sampling technique, where every member of the population was included as a sample.

How were the variables in the research defined?

The independent variables in the research were leadership and compensation, while the dependent variable was employee performance.

What statistical tests were performed on the data?

Several statistical tests were performed, including validity and reliability tests, normality tests, multicollinearity checks, and regression analysis (both simple and multiple regression).

What did the validity and reliability tests reveal about the data?

The validity tests showed that all variables (leadership, compensation, and employee performance) were valid. The reliability tests indicated that the data had an alpha value greater than 0.6, meaning the data was reliable.

What is the significance of the normality test in the research?

The normality test ensures that the data distribution follows a normal curve. In this case, the data passed the test, confirming that the distribution of data was normal and appropriate for regression analysis.

Was there any issue with multicollinearity in the research data?

No, there were no issues with multicollinearity. The tolerance values for all variables were above the required threshold, indicating that the variables were not highly correlated with each other.

What does the regression analysis in the study reveal about leadership and compensation?

The regression analysis revealed that both leadership and compensation positively impact employee performance. The simple linear regression equation was `y = 24.76 + 0.4411x`, and the multiple regression equation was `y = 20.234 + 0.175x1 + 0.092x2`.

What does the correlation analysis tell us about the relationships between leadership, compensation, and employee performance?

The correlation analysis showed a moderate positive relationship between leadership, compensation, and employee performance. The correlation coefficients indicated that all relationships were significant and positive.

What conclusion did the researcher draw at the end of the thesis defense?

The researcher concluded that leadership and compensation are important factors that significantly affect employee performance, and thanked the viewers for their support, encouraging them to subscribe and engage with the content.