1 Psychology 320: Psychology of Gender and Sex Differences February 7 Lecture 46
Jan 18, 2016
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Psychology 320: Psychology of Gender and Sex Differences
February 7
Lecture 46
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Office Hour InvitationsFebruary 7, 11:30-2:30, Kenny 3102
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A little R&R ….(Review and Reflect)
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Education, Careers and Work
3. Do females and males value similar job characteristics?
2. How do females and males divide occupational and domestic labour?
1. What sex differences in education have been found in other countries? (continued)
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By the end of today’s class, you should be able to:
1. discuss cultural variation in access to education for females and males.
2. discuss the social benefits associated with educating females in developing countries.
3. review recommendations to increase educational opportunities for females in developing countries.
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5. explain the phenomenon of “deviance neutralization.”
6. discuss sex similarities and differences in preferred job characteristics.
4. describe contemporary employment rates and domestic labour contributions among females and males.
7. review Major and Konar’s model of sex differences in salary expectations.
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What sex differences in education have been found in other countries? (continued)
Country Ratio of Girls to Boys
Afghanistan 45.6
Bangladesh 104.7
Bulgaria 97.5
Cambodia 83.9
Canada 99.8
Ethiopia 69.0
Ghana 88.6
India 78.6
Iraq 76.3
Morocco 85.1
Nicaragua 105.3
Nigeria 80.0
United States 100.4
Yemen 55.6
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Ratio of Girls to Boys Enrolled in Primary and Secondary Education Around the World (World Bank, 2002)
Country Percent Female
Argentina 59
Australia 54
Canada 56
Ethiopia 26
India 39
Iran 49
Israel 56
Japan 45
Kenya 34
Morocco 44
Russia 57
Saudi Arabia 58
Turkey 41
United States 56
Vietnam 429
Percentage of All College and University Students Who are Female Across the World (United Nations, 2005)
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• Many societal benefits arise from the education of females (e.g., healthier offspring, reduced gender inequality).
• The UN Children’s Fund (2007) suggests the following strategies to enhance educational access for females in developing countries:
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1. Build more schools, especially in rural areas.
2. Lower costs of educating children.
3. Teach parents about the importance of educating girls.
4. Provide programs to prevent teenage pregnancy.
5. Encourage teen mothers to stay in school.
6. Attach day-care centres to schools.
7. Recruit more female teachers.
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How do females and males divide occupational and domestic labour?
• Over the past several decades, women’s participation in the paid labour force has increased steadily.
• Today, women comprise 48% of the Canadian labour force (Statistics Canada, 2010).
• 66% of these women have children under the age of 3.
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10
20
30
40
50
60
70
1979 1989 1999 2009
Female
Male
Women and Men as a Percentage of Total Employment (Almey, 2006; Statistics Canada, 2010)
Per
cent
age
of T
otal
Em
ploy
men
t
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0
10
20
30
40
50
60
70
1976 1986 1996 2006
Percentage of Women with Children Under the Age of Three Who Are Employed (Almey, 2006; Ferrao, 2010)
Per
cent
age
Em
ploy
ed
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• Nevertheless:
females are more likely than males to be employed in part-time positions: 70% of part-time workers are female (Almey, 2006; Ferrao, 2010).
females are less likely than males to be employed: 58% of Canadian women vs. 65% of Canadian men are employed (Ferrao, 2010).
few males—7%—assume the role of “househusband” (Smith, 2007).
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occupations are segregated on the basis of sex.
females are more likely than males to perform domestic activities (e.g., housework), irrespective of
their employment status.
Occupation Percent Female
Accountants, auditors 62
Nurses 92
Teachers (non-college, non-university) 73
Social workers 82
Health Technicians 76
Secretaries 97
Household service 89
Engineers 14
Mathematicians, computer scientists 27
Chemists, material scientists 41
Mechanics 9
Construction 9
Firefighter 5
Police, detectives 23
Percent Women in Various Occupations (US Bureau of Labor Statistics, 2008)
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0.1
0.2
0.3
0.4
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0.6
0.7
0.8
-1 -0.5 0 0.5 1
Wives
Husbands
Pro
port
ion
of H
ouse
hold
Lab
our
Wife’s Economic Dependence (-1=High, 1=Low)
Proportion of Household Labour Performed as a Function of Sex and Economic Dependence
(Greenstein, 2000)
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“Breadwinner” wives do more domestic work than wives who earn salaries similar to their husbands.
Economically-dependent husbands do less domestic work than husbands who earn salaries similar to their wives.
Explanation: Deviance neutralization (Greenstein, 2000; also see Ortega & Tanaka, 2004).
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Do females and males value similar job characteristics?
• A meta-analytic study (Konrad et al., 2000; also see Hofstede, 2001, 2010) has investigated the job
characteristics valued by females and males:
Sex Differences in Preferences for Job Characteristics (Konrad et al., 2000)
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• Consistent with the sex difference for the value placed on “earnings,” research has shown that females have lower salary expectations than males:
Females Males
Business administration Entry pay Peak pay
36,60073,000
45,600129,400
Biology Entry pay Peak pay
49,90082,600
77,000179,000
English Entry pay Peak pay
24,80045,300
25,80088,400
Psychology Entry pay Peak pay
32,10060,400
32,60060,700
Overall Entry pay Peak pay
34,60064,600
42,900108,600
Expected Salary by Sex (Heckert et al., 2002)
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• Major and Konar (1984) suggest that four factors account for the lower salary expectations of females
in relation to males:
Sex
Importance of Earnings
Pay Expectations
Major and Konar’s (1984) Model of Sex Differences in Salary Expectations
Career Path Factors
Job Input Factors
Social Comparison Standards
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By the end of today’s class, you should be able to:
1. discuss cultural variation in access to education for females and males.
2. discuss the social benefits associated with educating females in developing countries.
3. review recommendations to increase educational opportunities for females in developing countries.
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5. explain the phenomenon of “deviance neutralization.”
6. discuss sex similarities and differences in preferred job characteristics.
4. describe contemporary employment rates and domestic labour contributions among females and males.
7. review Major and Konar’s model of sex differences in salary expectations.