Coursera: Getting Your Research Project Started


After looking through the codebook for the GAPMINDER study, I have decided that I am particularly interested in female employ rate. I am not sure which variables I will use regarding female employ rate (e.g. age or education background), so for now I will include all of the relevant variables in my personal codebook.

While female employ rate is a good starting point, I need to determine what it is female employ rate that I am interested in. It strikes me that nowadays women has to go to work to support their families financial.

I decide that I am most interested in exploring the association between level of education and female employ rate. I add to my codebook variables reflecting education levels (e.g. education level and background).

Next, I would like to identify a second topic to explore in terms of its association with female employ rate.

Therefore, the research questions are:

How is the relation between education level and female employ rate?

To what extent the educational background affect female employ rate?

Literature Review

In the U.S., several studies were done on employee job satisfaction and employment. Several studies research education-satisfaction partnerships.   In her research, Falcon (1991 ) found that more trained managers reported more job satisfaction in public and private sectors (Metle, 2003).

The study by Budur & Demir (2019) aimed mainly to understand why employees differ in judging their leaders ‘ values, knowledge and attitudes based on gender, experience and context education. They suggest that n that education level changes the perceptions about a leader partially significantly.

Based on literature review, a hypothesis about the association might be between these topics are developed as follows:

H1: there is a significant difference between education level in female employee.

H2: there is a significant difference between education background in female employee

Reference:

Budur, T., & Demir, A. (2019). Leadership perceptions based on gender, experience, and education. International Journal of Social Sciences & Educational Studies6(1), 142.

Metle, M. A. K. (2003). The impact of education on attitudes of female government employees. Journal of Management Development22(7), 603-626.


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