Republic of Armenia Leveling the stem playing Field for Women


Summarizing the Relative Importance of These Factors in Combination



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Summarizing the Relative Importance of These Factors in Combination


Employers devalue work done by women (Levanon, England, and Allison 2009). Men and women are paid differently not just when they do different jobs but also when they do the same work, and the gender pay gap persists within occupations (Goldin 2015). For example, female physicians earn 71 percent of that earned by their male counterparts, and female lawyers 82 percent. When women move into certain sectors in large numbers, those jobs begin to pay less—even after controlling for education, work experience, skills, race, and geography (Levanon, England, and Allison 2009).32

ANNEX 2: Overview of Qualitative Research Methods


The qualitative research conducted for this report looked at factors that prevent women in Armenia from translating academic success into jobs in STEM fields. This study was conducted by a team of local researchers from Yerevan State University from November 2015 – January 2017.

The research covered: 4 out of 23 STEM-focused VET institutions; 4 out of 29 STEM-focused universities; 5 out of 25 leading STEM employers in Armenia; 4 non-STEM VET institutions and universities; and the TUMO Center for Creative Technologies in Yerevan (the capital) and Shirak and Gegharkunik marzes (provinces). Shirak and Gegharkunik marzes are considered to be the most problematic regions in terms of gender stereotypes and access to educational opportunities.

Methodological Approach


Data collection targeted women and men attending university or post-secondary VET institutions focusing on STEM and non-STEM fields of study, as well as those who are working in STEM occupations.

Table A2.1: Overview of data collection methods and sample by respondent type

Respondent type

Data collection method

# of female respondents

# of male respondents

Total # of respondents

STEM-focused VET institution teachers/principals

Key informant interview

1

3

4

STEM-focused university department professors/deans/rectors

Key informant interview

1

3

4

STEM employers human resources managers

Key informant interview

3

2

5

TUMO representative

Key informant interview

1

-

1

Non-STEM VET institution teachers/principals

Key informant interview

2

-

2

Non-STEM university department professors/deans/rectors

Key informant interview

2

-

2

STEM-occupied employees

In-depth interview

5

5

10

Total # of Interviewees

22

STEM-focused VET institution students

Focus group

31

30

61

STEM-focused university students

Focus group

29

27

56

Non-STEM VET institution students

Focus group

15

16

31

Non-STEM university departments

Focus group

15

15

30

Total # of focus group respondents

90

88

178

Total number of all respondents

200


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