Question.3981 - Assignment 4
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Assignment 4 Anthony Allen Management Research Methods Dr. Guclu Atinc October 20th 2024 Question 3 Hypothesis 1: There is a relationship between gender and salary. Test: A t-test can be performed if gender is binary (male/female), comparing the average salary between the two groups. Result: If p-value < 0.05, we reject the null hypothesis, indicating a statistically significant difference in salary based on gender. Interpretation: If we find a significant result, it suggests a potential gender-based disparity in salaries, which could support claims of discrimination. Hypothesis 2: There is a relationship between college experiences (fun in college, quantitative class experience) and salary. Test: Perform a multiple regression analysis with salary as the dependent variable and "fun in college" and "quantitative class experience" as independent variables. Result: The regression coefficients (?-values) and their p-values will show which variable (fun or quantitative classes) has a stronger relationship with salary. Interpretation: The variable with a higher ? and significant p-value indicates a stronger predictor of salary. Question 4 Test: If discrimination claims are based on gender, we would perform a logistic regression with the "discrimination claim" as the dependent variable and gender as the independent variable. Result: If gender significantly predicts the likelihood of a discrimination claim (p < 0.05), it suggests that gender may play a role in the discrimination claims. Interpretation: If the p-value is significant, this could indicate that employees of a particular gender are more likely to file discrimination claims, supporting the claim of discrimination. Question 6 Test: Use multiple regression with salary as the dependent variable and both "fun in college" and "quantitative class experience" as independent variables. Result: Analyze the p-values for both independent variables. If one or both are significant, it suggests that these factors do indeed relate to salary. Interpretation: A significant relationship between either "fun in college" or "quantitative class experience" and salary indicates that these experiences could impact future earnings. For instance, if fun in college has a positive coefficient and a significant p-value, it would suggest that students who reported having more fun tend to have higher salaries. Question 7 Test: Using the same multiple regression results from Question 6, compare the coefficients (?-values) for the two independent variables: "fun in college" and "quantitative class experience." Result: The variable with the higher ?-value and a significant p-value is the stronger predictor of salary. Interpretation: For example, if "fun in college" has a ?-value of 0.45 and "quantitative class experience" has a ?-value of 0.30 (with significant p-values), then fun in college would be more strongly related to salary than the quantitative class experience. Question 8 Ethnographic Research: This is a qualitative research method aimed at studying the culture, behaviors, and attitudes of a group over time. It is often used to understand the context and lived experiences of individuals within a social setting. Suitability: If the "problem" in question involves understanding complex social dynamics, such as the experience of discrimination in the workplace, then ethnographic research could be very useful. Ethnography would allow researchers to observe the workplace culture, interactions between employees, and attitudes towards diversity and inclusion. Answer: Yes, if the problem relates to how employees experience workplace discrimination or how company culture impacts these experiences, ethnography would be appropriate. This method would help researchers gather rich, contextual data about how discrimination manifests in daily interactions and how employees perceive and respond to it. References Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business Research Methods Ninth Edition South-Western Cengage Learning.More Articles From Management
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