Sowk 300-homework 7

Differences in Men and Women

Running head: DIFFERENCES IN MEN AND WOMEN

Do Men and Women Differ in the Number of Children They Would Like to Have? Tuskegee University Department of Social Work SOWK 300 Computer Applications in the Social Sciences Shari Smith Aril 4, 2009 Ms. McArthur Homework #7

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Differences in Men and Women A. Frequency Distribution Cells contain: -Column percent -Weighted N

SEX 1 2 ROW MALE FEMALE TOTAL

0

1.5 211

1.0 168

1.2 379

1

2.4 340

2.3 396

2.4 736

2

51.8 7,369

51.5 8,742

51.6 16,111

3

24.1 3,426

22.8 3,872

23.4 7,299

4

10.5 1,498

12.8 2,183

11.8 3,681

5

1.8 261

1.6 268

1.7 529

6

.8 117

1.0 168

.9 285

.6 82

.4 72

.5 153

6.4 911

6.6 1,118

6.5 2,029

100.0 14,215

100.0 16,987

100.0 31,202

CHLDIDEL

7: SEVEN+ 8: AS MANY AS WANT COL TOTAL

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Differences in Men and Women

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B. Statistics for all valid cases Cells contain: -Column percent -Weighted N

SEX 1 2 ROW MALE FEMALE TOTAL 9.2 137

13.0 251

11.3 388

CHILD2 2: NOT MENTIONED

90.8 1,358

87.0 1,685

88.7 3,043

COL TOTAL

100.0 1,495

100.0 1,935

100.0 3,431

1: MENTIONED

There is an association between the independent variable SEX and the dependent variable CHILD2. A higher percentage of females, compared to males, mentioned their children. Therefore, a higher percentage of males, compared to females, did not mention their children. Also, more respondents did not mention their children, compared to those who did. The bright red indicates that those percentages were dramatically higher than expected. The bright blue indicates that those percentages were significantly lower than expected. C. Yes, the relationship between SEX and CHILD2 depends on values of other variables like education. Statistics for DEGREE = 0(LT HIGH SCHOOL) Cells contain: -Column percent -Weighted N

SEX 1 2 ROW MALE FEMALE TOTAL 14.9 42

23.5 74

19.4 116

CHILD2 2: NOT MENTIONED

85.1 241

76.5 241

80.6 482

COL TOTAL

100.0 283

100.0 314

100.0 597

1: MENTIONED

As for respondents without high school diplomas, a higher percentage of females, compared to males, mentioned their children. Thus, a higher percentage of males did not Differences in Men and Women

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mention their children. Also, more respondents without high school diplomas did not mention their children, compared to those with the same educational level who did mention their children. The bright red indicates that those percentages were dramatically higher than expected. The bright blue indicates that those percentages were significantly lower than expected.

Statistics for DEGREE = 1(HIGH SCHOOL) Cells contain: -Column percent -Weighted N

SEX 1 2 ROW MALE FEMALE TOTAL 7.4 54

12.9 142

10.7 196

CHILD2 2: NOT MENTIONED

92.6 677

87.1 954

89.3 1,632

COL TOTAL

100.0 731

100.0 1,096

100.0 1,827

1: MENTIONED

As for respondents with high school diplomas, a higher percentage of females mentioned their children. Therefore, a higher percentage of males did not mention their children. In addition, like respondents without high school diplomas, more respondents did not mention their children, compared to those who did mention them. The bright red indicates that those percentages were dramatically higher than expected. The bright blue indicates that those percentages were significantly lower than expected.

Statistics for DEGREE = 2(JUNIOR COLLEGE) Cells contain: -Column percent -Weighted N

SEX 1 2 ROW MALE FEMALE TOTAL

4.1 2

5.4 6

5.0 9

CHILD2 2: NOT MENTIONED

95.9 55

94.6 112

95.0 167

COL TOTAL

100.0 58

100.0 118

100.0 176

1: MENTIONED

Differences in Men and Women

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As for respondents with a junior college education, slightly more females mentioned their children than did males. So, in the same way, a higher percentage of males did not mention their children, compared to females. Also, there is a dramatic difference in the percentage of respondents who mentioned their children (only 5.0%) and those who did not (95.0%). The light red indicates that those percentages were slightly higher than expected. The light blue indicates that those percentages were slightly lower than expected.

Statistics for DEGREE = 3(BACHELOR) Cells contain: -Column percent -Weighted N

SEX 1 2 ROW MALE FEMALE TOTAL 7.5 21

6.4 19

6.9 40

CHILD2 2: NOT MENTIONED

92.5 259

93.6 277

93.1 535

COL TOTAL

100.0 280

100.0 295

100.0 575

1: MENTIONED

For respondents with bachelor’s degrees, a smaller percentage of females mentioned their children than did males. Thus, a higher percentage of females did not mention their children. Still, however, a higher percentage of respondents did not mention their children compared to those who did. The light red indicates that those percentages were slightly higher than expected. The light blue indicates that those percentages were slightly lower than expected.

Differences in Men and Women

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Statistics for DEGREE = 4(GRADUATE) Cells contain: -Column percent -Weighted N

SEX 1 2 ROW MALE FEMALE TOTAL 12.3 18

9.0 10

10.9 28

CHILD2 2: NOT MENTIONED

87.7 126

91.0 101

89.1 227

COL TOTAL

100.0 144

100.0 112

100.0 255

1: MENTIONED

Looking at the cross table for respondents with graduate degrees, a smaller percentage of females mentioned their children, compared to males. In turn, a higher percentage of females, compared to males, did not mention there children. A higher percentage of respondents, as in all educational levels, did not mention their children. The light red indicates that those percentages were slightly higher than expected. The light blue indicates that those percentages were slightly lower than expected. Overall, higher percentages of females, compared to males, mentioned their children at all educational levels except for at the bachelor’s and graduate levels. Also, at the first three educational levels (little high school, high school, and junior college) the female percentages for respondents who mentioned their children were higher than expected. However, at the bachelor’s and graduate levels, the percentages of female respondents who mentioned their children were lower than expected. In my opinion, these overestimates and under-estimates are due to changes in society. More young people are having children. Therefore, more young people (than expected) are likely to mention their children. The extremely high number of respondents who mentioned their children at the little high school level is probably because so many young mothers drop out of school. Also, they are less like to reach higher levels of education. Similarly, more women are focusing on their careers. Therefore, they are less likely to have—and thus

less likely to mention their children. In addition, the percentages of females who mentioned their children decreased from 23.5% at the little high school level, to 12.9% at the high school level, and then again to 5.4% at the junior college level. This may be due to the fact that people who are climbing the educational ladder are more focused on completing their education than on beginning families. At the bachelor’s level, the percentage of female respondents who mentioned their children increased to 6.4% and then to 9.0% at the graduate level. This slight increase is, in my opinion, due to the fact that the females at these levels are probably thinking about beginning families more so than those at the junior college level. They may also be more mature.