1 psychology 320: gender psychology lecture 44. 2 reminder the midterm exam will test material...
DESCRIPTION
3 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. Are there advantages associated with same-sex schooling?TRANSCRIPT
1
Psychology 320: Gender Psychology
Lecture 44
2
Reminder
The midterm exam will test material associated with Chapters 9, 10, 11, and 12 of the textbook. With respect to Chapter 11, you are responsible for p. 299-316 and 322-324; p. 317-322 (i.e., achievement) will be discussed in the last quarter of the course and will be tested on the final exam.
3
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. Are there advantages associated with same-sex schooling?
4
Are there advantages associated with same-sex schooling?
• Given sex discrepancies in school performance and the prevalence of sexual harassment in schools, many researchers, theorists and policy makers advocate for the implementation of single-sex schools.
• A recent review conducted by the US Department of Education (2005) suggests that single-sex schools (SS) offer some benefits over mixed-sex schools (MS).
• The primary findings of the review include the following:
5
Outcome Variable Findings of Review
General and subject-specific achievement tests SS > MS
Meritorious scholarships attained Insufficient data
College GPA Insufficient data
College graduation rates SS = MS
Post-secondary test scores (e.g., GRE, MCAT, LSAT)
SS = MS
Graduate school attendance rates SS = MS
Postgraduate licensure tests scores Insufficient data
Outcomes Variables for Single-Sex vs. Mixed-Sex Schools: Academic Achievement
(US Department of Education, 2005)
6
Outcome Variable Findings of Review
Bullying Insufficient data
Delinquency MS > SS
High school drop out MS > SS
Eating disorders SS > MS (females only; no data for males)
Teenage pregnancy Insufficient data
Self-esteem MS > SS (males only; SS = MS for females)
Locus of control SS > MS
Educational and career aspirations SS > MS
Participation in school-related activities SS > MS
Selection of non-traditional college major SS > MS (females only; no data for males)
Political activism SS > MS (females only; no data for males)
Post-secondary unemployment MS > SS
Outcomes Variables for Single-Sex vs. Mixed-Sex Schools: Adaptation and Socioemotional Adjustment
(US Department of Education, 2005)
7
Outcome Variable Findings of Review
Leadership opportunities SS > MS
Value placed on leadership and grades SS > MS
Student satisfaction MS > SS (high school), SS > MS (college)
Parent satisfaction Insufficient data
Teacher satisfaction Insufficient data
Outcomes Variables for Single-Sex vs. Mixed-Sex Schools: School Climate or Culture
(US Department of Education, 2005)
8
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).
• A relatively large proportion of these women—66%—have young children.
9
0
10
20
30
40
50
60
70
1979 1989 1999 2009
FemaleMale
Women and Men as a Percentage of Total Employment (Almey, 2006; Statistics Canada, 2010)
Per
cent
age
of T
otal
Em
ploy
men
t
10
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)
Per
cent
age
of T
otal
Em
ploy
men
t
11
• Although women are more likely to be employed today than in the past, it remains the case that:
females are more likely than males to be employed in part-time positions: 70% of part-time workers are female (Almey, 2006).
females are less likely than males to be employed: 58% of Canadian women are employed; 68% of
Canadian men are employed (Almey, 2006).
relatively few males—less than 7%—assume the role of stay-at-home dad or “househusband” (Smith, 2007).
12
females are more likely than males to be employed in teaching, health, clerical/administrative, and
sales/service occupations: 67% of employed females work in these occupations; 30% of employed males work in these occupations (Almey, 2006).
females are more likely than males to perform domestic activities (e.g., housework, cooking), irrespective of their employment status:
13
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
-1 -0.5 0 0.5 1
WivesHusbands
Pro
porti
on o
f Hou
seho
ld L
abou
r
Wife’s Economic Dependence (-1=High, 1=Low)
Proportion of Household Labour Performed as a Function of Sex and Economic Dependence
(Greenstein, 2000)
14
Indeed, in households where women are employed, domestic labour is more likely to be divided on the basis of gender than in households where women are not employed (Ortega & Tanaka, 2004).
Moreover, “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).
15
Do females and males value similar job characteristics?
• A recent meta-analysis (Konrad et al., 2000) indicates that females are more likely than males to
value the interpersonal characteristics of their jobs, whereas males are more likely than females to value the status-related characteristics of their jobs.
16
Sex Differences in Preferences for Job Characteristics (Konrad et al., 2000)
17
• Consistent with the sex difference that has been found for the value placed on “earnings,” research has shown that females have lower salary expectations than
males:
18
Females Males
Overall Entry pay Peak pay
34,60064,600
42,900108,600
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
Expected Salary by Sex (Heckert et al., 2002)
19
• Major and Konar (1984) suggest that four factors account for the lower salary expectations of females
in relation to males:
1. Sex differences in the importance of salary: As noted already, females place less value on “earnings” than males.
2. Sex differences in career paths: Females pursue less advanced education, plan to spend fewer years working full-time, and self-select into lower paying occupations than males.
20
4. Sex differences in social comparison standards: Females tend to compare themselves to other females, who are relatively low-earning; males tend
to compare themselves to other males, who are relatively high-earning.
3. Sex differences in expected job inputs: Females have lower expectations of their own performancethan males and are more likely to devalue their performance than males.
21
Sex
Importance of Earnings
Pay Expectations
Major and Konar’s (1984) Model of Sex Differences in Pay Expectations
Career Path Factors
Job Input Factors
Social Comparison Standards
22
• Evidence supports the role of each of these factors in explaining sex differences in salary expectations. However, the strongest predictor of salary expectations is social comparison standards (Heckert et al., 2002):
r between expected entry salary and comparison others’ pay: .96
r between expected peak salary and comparison others’ pay: .73
23
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. Are there advantages associated with same-sex schooling?