the role of expectations for future family obligations in career choice for men and women emily...

1
The Role of Expectations for Future Family Obligations in Career Choice for Men and Women Emily Cooper, Ashley Vacha, and Amanda Albert Faculty Mentor: Melissa Bonstead-Bruns Questions 1.Do female college students who expect to have children in the future tend to choose majors which would likely lead to traditionally female careers? 2.Are men’s major choices similarly impacted by expectations for future children? 3.Will respondents consider family obligations an important factor when choosing a career for a fictional student? And, will there be differences based on the gender of the fictional student? Methods Our data was collected from an online survey we conducted on surveymonkey.com. The survey was taken by students at a regional, mid-sized, liberal arts university. Business cards with the URL were distributed in selected classes that were chosen to include a broad range of major and minors. The survey took approximately a half an hour to complete, and incentives were provided (Four $50 VISA gift cards.) Discussion There are clearly still gender differences in how men and women approach work/family conflict. These conclusions support the notion that many women are still motivated by family concerns when making future career plans. That is females who expect children are more likely to choose a major leading to a female dominated career. The career choices men make appear to be independent of any concerns over a desire to have children or the expectation to take time out of their career to care for children. Indeed, it appears that few men expect that long-term career breaks for children are in their futures. Thus, though the rhetoric amongst college students suggest that men and women are coming to parity with regards to work and family, the evidence suggests otherwise. Respondents did not necessarily follow the same gender/work ideological principles in making career suggestions for others that they did for themselves. For this part of the study, family appears to be a salient aspect of career choice for both men and women, though the impact of family expectations is slightly greater for women. There was significant variation across disciplines in the pattern of gender/family effect on career choice indicating that respondents’ views Table 2 Logit m odel resultsfortheeffectsof fam ily expectationson majorchoice. Fem ale M ajor M ale M ajor C onstant -1.1143 -1.6802 0.7197 1.0331 Fem ale 1.3011 *** -1.5877** 0.3592 0.5421 Expect to havechildren 0.8197 0.0387 0.4373 0.5954 D esired futureincom e -0.4043** -0.0226 0.1388 0.2056 Expect to provide long-term childcare 0.7535 * -0.4748 0.3096 0.8010 Tables 2 and 3 show the results for both men and women for questions 1 and 2. Table 2 indicates: Women are significantly more likely to choose a female major and significantly less likely to choose a male major than their male counterparts. The expectation of a large future income significantly decreases the likelihood that one will choose a female major but has no effect on whether or not one chooses a male major. Respondents who expected to take off from their careers long-term in order to care for children were significantly more likely to choose a female major. Table1 D em ographics Total Male A ge U nder18 2 1 18-24 319 102 25-40 6 3 O ver40 3 1 M arried Y es 6 2 No 324 105 Plan to M arry Y es 290 87 No 6 3 U ndecided 26 13 H ave Children Y es 8 3 No 320 102 R ace White/Caucasian 307 97 Black/African Am erican 2 2 A m erican Indian orA laskan N 1 0 Asian-Pacific Islander 9 3 Prefernotto answ er 2 1 O ther(pleasespecify) 4 1 multipleracesselected 3 1 $20,001 -$40,000 23 4 $40,001 -$60,000 117 29 $60,001 -$80,000 70 24 $80,001 -$100,000 58 23 G reaterthan $100,000 28 21 Don'tknow/Notapplicable 26 3 Y es 274 80 No 10 4 U ndecided 35 18 Y es 271 87 No 33 11 U ndecided 9 4 Total 328 107 E xpected Future Incom e E xpectto have children E xpectto take tim e offfor children Acknowledgements: Funding for this research was provided by the Blugold Fellowship Undergraduate Research Program, the Office of Research and Sponsored Programs, and the Department of Sociology Ma le (Family) Fe male (F amily) Ma le (No Family) Fe male (No Family ) Un k (F amily) Ma le (U nk) Unk (U nk) 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 7.69% 15.38% 25.49% 14.29% 18.92% 10.71% 14.71% 5.77% 26.92% 33.33% 23.81% 29.73% 42.86% 44.12% 48.08% 50.00% 37.25% 61.90% 51.35% 46.43% 41.18% 46.15% Justification for Choice - Business Unclear/Multiple Other Fulfillment Skills Money/breadwinner Family time Male (Family ) Female (Family ) Male (No Family) Female (No Family) Unk (No Family) Female (Unk) Unk (Unk) 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 25.71% 30.00% 51.02% 73.41% 46.15% 82.76% 63.83% 62.86% 65.00% 36.73% 18.37% 50.00% 13.79% 31.91% 5.00% 8.16% 6.12% 3.85% 3.45% 4.26% Justification for Choice - Humanities Unclear/ Multiple Other Fulfillment Skills Money/ breadwinner Family time Ma le (Family) Female (Family) Male (No Family) Female (No Family) Unk (Family) Fe male (Unk) Un k (U nk) 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 10.20% 8.00% 5.41% 10.00% 16.13% 10.42% 28.57% 22.00% 29.73% 30.00% 23.08% 29.03% 41.67% 57.14% 54.00% 59.46% 55.00% 65.38% 51.61% 45.83% 12.00% 11.54% 3.23% 4.00% 5.41% 5.00% Justification for Choice - Science Unclear/Multiple Other Fulfillment Skills Money/breadwinner Family time Male (F amily) Male (No Family) Unk (No Family) Unk (Unk ) 0.00% 20.00% 40.00% 60.00% 80.00% 100.00% 21.05% 40.54% 31.25% 46.94% 14.29% 25.00% 31.37% 21.05% 16.22% 39.58% 26.53% 14.29% 18.75% 31.37% 57.89% 37.84% 29.17% 26.53% 67.86% 53.13% 33.33% 5.41% 3.57% 3.13% Justification for Choice - Social Science Unclear/Multiple Other Fulfillment Skills Money/ breadwinner Family time Table 3 gives the results for men and women separately. The results indicate: Expectations for career and family appear to have NO impact on major choice for men whether they end up choosing a male major or a female major (or neither). NO men in the sample expected to take an extended time off to care for children and chose a male major, so the long-term independent variable was removed from the analysis for that model. Expectations for career and family DO appear to have an impact on major choice for women choosing female careers – i.e. women who expect to have children and expect to take an extended time off to care for them are significantly more likely to choose a female major. Additionally, wanting a large income significantly reduces the likelihood of choosing a female major for women. However, none of the independent variables had any impact on women’s choices for a male major that seem to suggest that women who Table3 Logit m odel resultsforthe effectsof fam ily expectationsonmajorchoicebygender. Fem ale M ajor M ale M ajor Fem ale M ajor M ale M ajor C onstant -2.9141* -1.683 0.7687 -3.433 1.3909 1.1861 0.7574 1.8813 Expect to havechildren 0.4439 0.1573 1.0118 * -0.322 0.8199 0.6944 0.5177 1.1207 Expected future income 0.1163 -0.0495 -0.6150*** 0.0650 0.2617 0.2357 0.1721 0.4111 0.4151 ------- 0.7140 * 0.0660 1.1639 ------- 0.3280 0.8955 M en W om en Expect to provide long-term childcare There w ere no m en w ho expected to provide long-term care and w ho had chosen a m ale m ajorin thesam ple. To determine if students would make the same gender-based career decisions for others that they made for themselves (Question 3), respondents were randomly given one of seven different sets of vignettes with four fictional students. In each set was a description of their personality, values, interests, future goals, and academic strengths. Each set had a student representing the College of Business, Humanities, Social Sciences and Hard Sciences. Some sets of vignettes were gendered neutral while others were given a gender. Some fictional students in the vignettes hoped for a family in their future, some were not interested in having a family, and for some there was no mention of family. Respondents were asked to play the role of a career counselor and recommend one of five possible career options. Each career option had a job description and a salary range. Respondents were also asked to explain the reasoning for the career they chose. Qualitative coding was then done on these open-ended responses. The charts presented below show the career advice given to the fictional student as well as the results of the qualitative coding of the justification of the career choice for each one of the disciplinary areas. Results Male No Fa... Female No F... Male Family Female Family Male Unknown Unknown Family Unknown Unknown 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 20.00% 17.95% 16.67% 17.95% 20.00% 12.90% 12.00% 17.95% 11.67% 15.00% 7.69% 10.00% 4.84% 12.00% 3.33% 5.00% 3.33% 3.23% 56.00% 53.85% 61.67% 53.30% 69.23% 63.33% 75.81% 10.26% 6.67% 26.70% 5.13% 3.33% 3.23% Career Advice Given - Business Interest H.S. Teacher/Coach ($35,000 - $40,000) Financial Analyst ($50,000 - $55, 000) Health Care Administrator ($45,000 - $50,000) Human Resources Manager ($45,000 - $50,000) Male No Family Female No Family Male Family Female Family Female Unknown Unknown No Family Unknown Unknown 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 14.29% 24.14% 15.79% 16.00% 26.32% 20.00% 27.87% 8.93% 8.62% 2.63% 4.00% 15.79% 3.33% 4.92% 42.86% 25.86% 28.95% 4.00% 10.53% 20.00% 16.39% 19.64% 36.21% 34.21% 64.00% 34.21% 43.33% 34.43% 14.29% 5.17% 18.42% 12.00% 13.16% 13.33% 16.39% Career Advice Given - Humanities Museum Curator ($45,000 $50,000) Freelance Writer ($25,000 - $30,000) Minister ($35,000 - $40,000) Librarian ($35,000 - $40,000) Anthropologist ($25,000 - $30,000) Male No Family Female No Family Male Family Female Family Male Unknown Unknown No Family Unknown Unknown 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 29.31% 29.30% 13.04% 13.51% 10.53% 34.48% 21.00% 22.41% 15.79% 26.09% 21.62% 13.16% 13.79% 11.30% 3.45% 4.35% 3.45% 3.20% 5.17% 7.02% 26.09% 21.62% 18.42% 13.79% 9.70% 39.66% 47.37% 30.43% 43.24% 57.89% 34.48% 54.80% Career Advice Given - Social Science Social Worker ($35, 000 - $40,000) H.S. Teacher ($35,000 - $40,000) Sheriff's Deputy ($40,000 - $45,000) Psychologist ($50,000 - $55, 000) Lawyer ($70,000 - $75,000) Male No Family Female No Family Male Family Female Family Female Unknown Unknown Family Unknown Unknown 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 15.79% 32.00% 27.27% 36.21% 52.63% 24.14% 32.30% 57.89% 40.00% 18.18% 15.52% 5.26% 27.59% 22.60% 5.26% 8.00% 16.36% 15.52% 21.05% 24.14% 22.60% 15.79% 12.00% 30.91% 31.03% 13.16% 20.69% 19.40% 5.26% 8.00% 7.27% 7.89% 3.45% 3.20% Career Advice Given - Science Statistician ($45,000 - $50,000) Math Professor ($45,000 - $50,000) Registered Nurse ($35,000 - $40,000) Electrical Engineer ($65,000 - $70,000)

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Page 1: The Role of Expectations for Future Family Obligations in Career Choice for Men and Women Emily Cooper, Ashley Vacha, and Amanda Albert  Faculty Mentor:

The Role of Expectations for Future Family Obligations in Career Choice for Men and Women

Emily Cooper, Ashley Vacha, and Amanda Albert Faculty Mentor: Melissa Bonstead-Bruns

The Role of Expectations for Future Family Obligations in Career Choice for Men and Women

Emily Cooper, Ashley Vacha, and Amanda Albert Faculty Mentor: Melissa Bonstead-Bruns

Questions1. Do female college students who expect to have children in the future tend to choose majors which would

likely lead to traditionally female careers?

2. Are men’s major choices similarly impacted by expectations for future children?

3. Will respondents consider family obligations an important factor when choosing a career for a fictional student? And, will there be differences based on the gender of the fictional student?

Methods Our data was collected from an online survey we conducted on surveymonkey.com. The survey was taken by students at a regional, mid-sized, liberal arts university. Business cards with the URL were distributed in selected classes that were chosen to include a broad range of major and minors. The survey took approximately a half an hour to complete, and incentives were provided (Four $50 VISA gift cards.)

Discussion There are clearly still gender differences in how men and women approach work/family conflict. These conclusions support the notion that many women are still motivated by family concerns when making future career plans. That is females who expect children are more likely to choose a major leading to a female dominated career. The career choices men make appear to be independent of any concerns over a desire to have children or the expectation to take time out of their career to care for children. Indeed, it appears that few men expect that long-term career breaks for children are in their futures. Thus, though the rhetoric amongst college students suggest that men and women are coming to parity with regards to work and family, the evidence suggests otherwise. Respondents did not necessarily follow the same gender/work ideological principles in making career suggestions for others that they did for themselves. For this part of the study, family appears to be a salient aspect of career choice for both men and women, though the impact of family expectations is slightly greater for women. There was significant variation across disciplines in the pattern of gender/family effect on career choice indicating that respondents’ views are mitigated by discipline specific perceptions.

Table 2 Logit model results for the effects of family expectations on major choice.

Female Major Male MajorConstant -1.1143 -1.6802

0.7197 1.0331

Female 1.3011 *** -1.5877 **0.3592 0.5421

Expect to have children 0.8197 0.03870.4373 0.5954

Desired future income -0.4043 ** -0.02260.1388 0.2056

Expect to provide long-term childcare 0.7535 * -0.47480.3096 0.8010

Tables 2 and 3 show the results for both men and women for questions 1 and 2.  Table 2 indicates:•Women are significantly more likely to choose a female major and significantly less likely to choose a male major than their male counterparts.

•The expectation of a large future income significantly decreases the likelihood that one will choose a female major but has no effect on whether or not one chooses a male major.

•Respondents who expected to take off from their careers long-term in order to care for children were significantly more likely to choose a female major.

Table 1 DemographicsTotal Male

Age Under 18 2 118-24 319 10225-40 6 3Over 40 3 1

Married Yes 6 2No 324 105

Plan to Marry Yes 290 87No 6 3Undecided 26 13

Have Children Yes 8 3No 320 102

Race White/Caucasian 307 97Black/African American 2 2American Indian or Alaskan Native 1 0Asian-Pacific Islander 9 3Prefer not to answer 2 1Other (please specify) 4 1multiple races selected 3 1

$20,001 - $40,000 23 4$40,001 - $60,000 117 29$60,001 - $80,000 70 24$80,001 - $100,000 58 23Greater than $100,000 28 21Don't know/Not applicable 26 3

Yes 274 80No 10 4Undecided 35 18

Yes 271 87No 33 11Undecided 9 4

Total 328 107

Expected Future Income

Expect to have children

Expect to take time off for children

Acknowledgements: Funding for this research was provided by the Blugold Fellowship Undergraduate Research Program, the Office of Research and Sponsored Programs, and the Department of Sociology

Male

(Family

)Fe

male

(Family

)

Male

(No Fa

mily)

Female

(No Fa

mily)

Unk

(Family

)Male

(Unk) Unk

(Unk)

0.00%

20.00%

40.00%

60.00%

80.00%

100.00%

7.69%

15.38% 25.49%

14.29% 18.92%10.71% 14.71% 5.77%

26.92%

33.33%

23.81%29.73% 42.86%

44.12%48.08%

50.00%37.25%

61.90%51.35% 46.43% 41.18% 46.15%

Justification for Choice - Business

Unclear/Multiple

Other

Fulfillment

Skills

Money/breadwinner

Family time

Male

(Family

)Fe

male

(Family

)

Male

(No Fa

mily)

Female

(No Fa

mily)

Unk

(No Fa

mily)

Female

(Unk) Unk

(Unk)

0.00%

20.00%

40.00%

60.00%

80.00%

100.00%

25.71%30.00%

51.02%73.41%

46.15%

82.76%63.83%

62.86% 65.00%

36.73%18.37%

50.00%

13.79%31.91%

5.00%8.16%

6.12% 3.85% 3.45% 4.26%

Justification for Choice - Humanities

Unclear/Multiple

Other

Fulfillment

Skills

Money/breadwinner

Family time

Male

(Family

)Fe

male

(Family

)

Male

(No Fa

mily)

Female

(No Fa

mily)

Unk

(Family

)Fe

male

(Unk) Unk

(Unk)

0.00%

20.00%

40.00%

60.00%

80.00%

100.00%

10.20%

8.00%

5.41% 10.00% 16.13%10.42%

28.57%22.00%

29.73%30.00%

23.08%

29.03% 41.67%

57.14% 54.00% 59.46% 55.00%65.38%

51.61% 45.83%

12.00% 11.54%3.23%

4.00%

5.41% 5.00%

Justification for Choice - Science

Unclear/Multiple

Other

Fulfillment

Skills

Money/breadwinner

Family time

Male

(Family

)Fe

male

(Family

)

Male

(No Fa

mily)

Female

(No Fa

mily)

Unk

(No Fa

mily)

Male

(Unk) Unk

(Unk)

0.00%

20.00%

40.00%

60.00%

80.00%

100.00%

21.05%

40.54%

31.25%46.94%

14.29% 25.00%31.37%

21.05%

16.22% 39.58%26.53%

14.29%

18.75%

31.37%

57.89%

37.84%29.17% 26.53%

67.86%53.13%

33.33%

5.41% 3.57%

3.13%

Justification for Choice - Social Science

Unclear/Multiple

Other

Fulfillment

Skills

Money/breadwinner

Family time

Table 3 gives the results for men and women separately.  The results indicate:• Expectations for career and family appear to have NO impact on major choice for men whether they end up

choosing a male major or a female major (or neither). • NO men in the sample expected to take an extended time off to care for children and chose a male major, so the

long-term independent variable was removed from the analysis for that model. • Expectations for career and family DO appear to have an impact on major choice for women choosing female

careers – i.e. women who expect to have children and expect to take an extended time off to care for them are significantly more likely to choose a female major.  Additionally, wanting a large income significantly reduces the likelihood of choosing a female major for women.  However, none of the independent variables had any impact on women’s choices for a male major that seem to suggest that women who choose male majors—like all the men in the sample—are not making those decisions based on family expectations but on some other criterion.

Table 3 Logit model results for the effects of family expectations on major choice by gender.

Female Major Male Major Female Major Male MajorConstant -2.9141 * -1.683 0.7687 -3.433

1.3909 1.1861 0.7574 1.8813

Expect to have children 0.4439 0.1573 1.0118 * -0.3220.8199 0.6944 0.5177 1.1207

Expected future income 0.1163 -0.0495 -0.6150 *** 0.06500.2617 0.2357 0.1721 0.4111

0.4151 ------- † 0.7140 * 0.06601.1639 ------- 0.3280 0.8955

Men Women

Expect to provide long-term childcare

† There were no men who expected to provide long-term care and who had chosen a male major in the sample.

To determine if students would make the same gender-based career decisions for others that they made for themselves (Question 3), respondents were randomly given one of seven different sets of vignettes with four fictional students. In each set was a description of their personality, values, interests, future goals, and academic strengths. Each set had a student representing the College of Business, Humanities, Social Sciences and Hard Sciences. Some sets of vignettes were gendered neutral while others were given a gender. Some fictional students in the vignettes hoped for a family in their future, some were not interested in having a family, and for some there was no mention of family. Respondents were asked to play the role of a career counselor and recommend one of five possible career options. Each career option had a job description and a salary range. Respondents were also asked to explain the reasoning for the career they chose. Qualitative coding was then done on these open-ended responses. The charts presented below show the career advice given to the fictional student as well as the results of the qualitative coding of the justification of the career choice for each one of the disciplinary areas.

Results

MaleNo Family

FemaleNo Family

MaleFamily

FemaleFamily

MaleUnknown

UnknownFamily

UnknownUnknown

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

20.00%

17.95%16.67% 17.95% 20.00%

12.90%

12.00%

17.95%

11.67%15.00%

7.69% 10.00%

4.84%

12.00% 3.33%

5.00%

3.33%

3.23%

56.00% 53.85%61.67%

53.30%

69.23%63.33%

75.81%

10.26% 6.67%

26.70%

5.13% 3.33% 3.23%

Career Advice Given - Business Interest

H.S. Teacher/Coach($35,000 - $40,000)

Financial Analyst($50,000 - $55, 000)

Health Care Adminis-trator($45,000 - $50,000)

Human Resources Manager($45,000 - $50,000)

Accountant($40,000 - $45,000)

MaleNo Family

FemaleNo Family

MaleFamily

FemaleFamily

FemaleUnknown

UnknownNo Family

UnknownUnknown

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

14.29%24.14%

15.79% 16.00%26.32%

20.00%27.87%

8.93%

8.62%

2.63% 4.00%

15.79%

3.33%

4.92%

42.86% 25.86%

28.95%

4.00%

10.53%

20.00%

16.39%

19.64% 36.21%

34.21%

64.00%

34.21%43.33% 34.43%

14.29%5.17%

18.42%12.00% 13.16% 13.33% 16.39%

Career Advice Given - Humanities

Museum Curator($45,000 $50,000)

Freelance Writer($25,000 - $30,000)

Minister($35,000 - $40,000)

Librarian($35,000 - $40,000)

Anthropologist($25,000 - $30,000)

MaleNo Family

FemaleNo Family

MaleFamily

FemaleFamily

MaleUnknown

UnknownNo Family

UnknownUnknown

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

29.31% 29.30%

13.04% 13.51% 10.53%

34.48%21.00%

22.41%15.79%

26.09% 21.62%

13.16%

13.79%

11.30%

3.45%

4.35%

3.45%

3.20%

5.17%

7.02%

26.09%

21.62%

18.42%

13.79%

9.70%

39.66%47.37%

30.43%43.24%

57.89%

34.48%

54.80%

Career Advice Given - Social Science

Social Worker($35, 000 - $40,000)

H.S. Teacher($35,000 - $40,000)

Sheriff's Deputy($40,000 - $45,000)

Psychologist($50,000 - $55, 000)

Lawyer($70,000 - $75,000)

MaleNo Family

FemaleNo Family

MaleFamily

FemaleFamily

FemaleUnknown

UnknownFamily

UnknownUnknown

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

15.79%

32.00% 27.27%36.21%

52.63%

24.14%32.30%

57.89%

40.00%

18.18%

15.52%

5.26%

27.59%22.60%

5.26% 8.00%

16.36%15.52%

21.05%24.14% 22.60%

15.79% 12.00%

30.91%31.03% 13.16% 20.69% 19.40%

5.26% 8.00% 7.27% 7.89% 3.45% 3.20%

Career Advice Given - Science

Statistician ($45,000 - $50,000)

Math Professor($45,000 - $50,000)

Registered Nurse($35,000 - $40,000)

Electrical Engineer($65,000 - $70,000)

Physical Therapist($40,000 - $45,000)