Crosstabs Ukraine

Most advertisements don't show changes of women status in society * range of age * education level ....................................................3 I find images of woman in advertising to be too offensive for our society * range of age * education level..............................................5 I find images of woman in advertising to be too offensive for our society * range of age * EMPLOY......................................................7 I find using women in advertising offensive * range of age * EMPLOY..................................................................................................10 I find that women image in advertising has a negative effect on my own perception by other * range of age * EMPLOY.....................12 Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well * range of age * EMPLOY............................................................................................................................................................................14 Advertising that shows women as sexual object should be restricted * range of age * SORTINC...........................................................16 I associate sexual images of woman in advertising with freedom * range of age * SORTINC.................................................................18 I find images of woman in advertising to be too offensive for our society * range of age * SORTINC...................................................20 I find using women in advertising offensive * range of age * SORTINC..................................................................................................22 Women should be able to do the all the different types of housework * range of age * SORTINC..........................................................24 Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality * range of age * marital status...........................................................................................................................................................................................................26 I find images of woman in advertising to be too offensive for our society * range of age * marital status...............................................29 I find using women in advertising offensive * range of age * marital status.............................................................................................31 I find that women image in advertising has a negative effect on my own perception by other * range of age * marital status................33 Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well * range of age * marital status.......................................................................................................................................................................35 I prefer to watch advertisement that uses women to attract attention * education level * EMPLOY........................................................37 Companies should be more careful to the content of their advertisement * education level * marital status............................................40 Advertising that shows women as sexual object should be restricted * compressed employment status * compressed income levels....42 I find images of woman in advertising to be too offensive for our society * compressed employment status * compressed income levels ....................................................................................................................................................................................................................44 I find using women in advertising offensive * compressed employment status * compressed income levels..........................................46 Advertising usually shows men as the ideal companion to be with * employment status * marital status................................................48 I find using women in advertising offensive * employment status * marital status...................................................................................50 Companies have understood the importance of women as consumers * employment status * marital status..........................................52 Companies should be more careful to the content of their advertisement * SORTINC * marital status...................................................54 Advertising shows an accurate view of women power in society * SORTINC * marital status................................................................56 Advertising usually shows men as the ideal companion to be with * SORTINC * marital status.............................................................58 The use of female sexuality in most of advertising is unsuitable * SORTINC * marital status.................................................................60 Companies have understood the importance of women as consumers * SORTINC * marital status.......................................................62

Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality * range of age * compressed employment status..................................................................................................................................................................64 I associate sexual images of woman in advertising with freedom * range of age * compressed employment status................................66

Most advertisements don't show changes of women status in society * range of age * education level Crosstab Count education level school

high school

liceum

college

institute

university

18-25 Most advertisements don’t show changes of women status in society Total Most advertisements don’t show changes of women status in society Total Most advertisements don’t show changes of women status in society Total Most advertisements don’t show changes of women status in society Total Most advertisements don’t show changes of women status in society

Total Most advertisements don’t show changes of women status in society

Total

agree no opinion disagree strongly disagree strongly agree no opinion disagree strongly disagree

2 6 1 1 10 1 1 0 0 2

26-35 0 1 0 0 1 0 0 0 1 1

range of age 36-45 46-55 2 0 0 0 2 0 1 1 0 2

56-65

66-75

Total 4 7 1 1 13 1 2 1 1 5

agree 1

strongly agree agree no opinion disagree strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

0 3 0 0 3 0 1 2 1 0 4 0 10 8 9 1 28

1 0 3 2 3 8 0 8 0 1 1 10 0 6 2 4 1 13

1

0 3 0 2 5 1 3 2 0 0 6 2 1 0 1 0 4

1 1 2 0 4 1 3 2 2 1 9 0 3 0 0 0 3

0 3 0 0 3 2 0 0 0 0 2

0 2 0 0 0 2

1 1 13 4 5 23 4 17 6 4 2 33 2 20 10 14 2 48

Chi-Square Te sts education level school

high school

liceum college

institute

university

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

6 6

Asymp. Sig. (2-sided) ,430 ,362

2,484

1

,115

13 7,500 b 7,777

6 6

,277 ,255

1,023

1

,312

5 .c 1 16,463 d 17,996

12 12

,171 ,116

1

,373

23 29,084 e 27,337

20 20

,086 ,126

1,303

1

,254

33 29,165 f 18,942

12 12

,004 ,090

4,498

1

,034

Value 5,943 a 6,578

,793

df

48

a. 11 cells (91,7%) have expected count less than 5. The minimum expected count is ,08. b. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. c. No statistics are computed because Most advertisements don’t show changes of women status in society and range of age are constants. d. 20 cells (100,0%) have expected count less than 5. The minimum expected count is ,13. e. 29 cells (96,7%) have expected count less than 5. The minimum expected

I find images of woman in advertising to be too offensive for our society * range of age * education level Crosstab Count education level school

high school

liceum

college

institute

university

18-25 I find images of agree woman in advertising no opinion to be too offensive for disagree our society strongly disagree Total I find images of disagree woman in advertising to be too offensive for our society Total I find images of disagree woman in advertising to be too offensive for our society Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total

26-35

range of age 36-45 46-55 1 0 0 1 2

56-65

66-75

Total

0 3 4 3 10

0 0 1 0 1

1 3 5 4 13

2

1

2

5

2

1

2

5

1

0 0 0 1 2 3 0 0 1 3 0 4 0 1 1 22 4 28

1 0 0 2 3 3 8 0 1 1 5 4 11 1 1 1 6 4 13

1

1 0 2 1 1 5 0 1 0 5 0 6 0 0 1 2 1 4

0 0 0 4 0 4 1 1 0 6 1 9 1 0 0 2 0 3

0 3 0 0 0 3 1 0 1 0 0 2

1 1 0 0 0 2

1 1 3 4 9 6 23 3 4 3 19 5 34 2 2 3 32 9 48

Chi-Square Te sts education level school

high school liceum college

institute

university

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases Pearson Chi-Square N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

6 6

Asymp. Sig. (2-sided) ,191 ,213

1

,524

13 .b 5 .c 1 36,725 d 31,044

16 16

,002 ,013

7,164

1

,007

23 28,861 e 28,467

20 20

,091 ,099

8,107

1

,004

34 14,879 f 12,400

12 12

,248 ,414

2,420

1

,120

Value 8,710 a 8,362 ,405

df

48

a. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,08. b. No statistics are computed because I find images of woman in advertising to be too offensive for our society is a constant. c. No statistics are computed because I find images of woman in advertising to be too offensive for our society and range of age are constants. d. 25 cells (100,0%) have expected count less than 5. The minimum expected count is ,13. e. 28 cells (93,3%) have expected count less than 5. The minimum expected count is ,18. f. 17 cells (85,0%) have expected count less than 5. The minimum expected

I find images of woman in advertising to be too offensive for our society * range of age * EMPLOY Crosstab Count EMPLOY 1,00

2,00

3,00

4,00

18-25

26-35

range of age 36-45 46-55 0

56-65

66-75

Total

I find images of no opinion woman in advertising disagree to be too offensive for strongly disagree our society

1

0

9

1

0

10

3

2

1

6

Total I find images of agree woman in advertising disagree to be too offensive for strongly disagree our society

13

3

1

17

0

1

1

1

2

3

2

0

2

Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society

3 0 0 0 6 2 8

3 0 1 3 13 7 24

Total

1 2 3 10 1 17

1

6 1 6 6 41 10 64

0 1 0 12 0 13

0 2 0 0 0 2

1

1

1

3

0

1

1

2

0

1

0

1

1

3

2

6

Chi-Square Te sts EMPLOY 1,00

2,00

3,00

4,00

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

4 4

Asymp. Sig. (2-sided) ,401 ,353

3,348

1

,067

17 3,333 b 4,499

2 2

,189 ,105

2,222

1

,136

6 35,652 c 29,785

16 16

,003 ,019

7,746

1

,005

64 2,167 d 2,773

4 4

,705 ,597

,059

1

,808

Value 4,039 a 4,410

df

6

a. 8 cells (88,9%) have expected count less than 5. The minimum expected count is ,06. b. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. c. 21 cells (84,0%) have expected count less than 5. The minimum expected count is ,03. d. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,17.

Chi-Square Te sts employment status Part/Full time work (not full working day)

part time

full day

retired

looking for job

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

4 4

Asymp. Sig. (2-sided) ,401 ,353

3,348

1

,067

17 3,333 b 4,499

2 2

,189 ,105

2,222

1

,136

6 35,652 c 29,785

16 16

,003 ,019

7,746

1

,005

64 2,167 d 2,773

4 4

,705 ,597

,059

1

,808

12 12

,105 ,201

1

,700

Value 4,039 a 4,410

6 18,367 e 15,792 ,149

df

19

a. 8 cells (88,9%) have expected count less than 5. The minimum expected count is ,06. b. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. c. 21 cells (84,0%) have expected count less than 5. The minimum expected count is ,03. d. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,17. e. 19 cells (95,0%) have expected count less than 5. The minimum expected count is ,05.

I find using women in advertising offensive * range of age * EMPLOY Crosstab Count EMPLOY 1,00

2,00

3,00

4,00

18-25 I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive Total

26-35

range of age 36-45 46-55 0

56-65

66-75

Total

no opinion

2

0

disagree

6

1

0

7

strongly disagree

5

2

1

8

13

3

1

17

1

3

4

2

0

2

3 0 0 0 5 3 8

3 0 0 2 15 7 24

disagree strongly disagree

strongly agree agree no opinion disagree strongly disagree strongly agree disagree

1 2 3 11 0 17

2

6 3 4 5 41 11 64

0 2 0 10 1 13

2 0 0 0 0 2

1

1

1

3

0

2

1

3

1

3

2

6

Chi-Square Te sts EMPLOY 1,00

2,00

3,00

4,00

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square a Continuity Correction Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

4 4

Asymp. Sig. (2-sided) ,700 ,574

1,834

1

,176

17 3,000c ,750 3,819

1 1 1

,083 ,386 ,051

Value 2,195b 2,903

2,500

df

1

,114

16 16

,000 ,002

1

,000

64 1,333e 1,726

2 2

,513 ,422

,294

1

,588

6 59,021d 37,344 14,399

Exact Sig. (2-sided)

Exact Sig. (1-sided)

,400

,200

6

a. Computed only for a 2x2 table b. 7 cells (77,8%) have expected count less than 5. The minimum expected count is ,12. c. 4 cells (100,0%) have expected count less than 5. The minimum expected count is 1,00. d. 21 cells (84,0%) have expected count less than 5. The minimum expected count is ,09. e. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50.

I find that women image in advertising has a negative effect on my own perception by other * range of age * EMPLOY Crosstab Count EMPLOY 1,00

2,00

3,00

4,00

18-25 I find that women image in advertising has a negative effect on my own perception by other Total I find that women image in advertising has a negative effect on my own perception by other Total I find that women image in advertising has a negative effect on my own perception by other Total I find that women image in advertising has a negative effect on my own perception by other Total

agree no opinion disagree strongly disagree disagree strongly disagree

strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree

26-35

range of age 36-45 46-55 0 0 0 1 1

56-65

66-75

Total

1 2 5 5 13

0 0 3 0 3

1

3

4

2

0

2

3 0 1 2 3 2 8

3 1 3 0 15 5 24

0 1 6 9 1 17

0 0 2 9 1 12 0 1 0 0 1

1 2 8 6 17

1 1 0 0 0 2 1 0 2 0 3

0 0 0 2 2

6 2 6 10 36 9 63 1 1 2 2 6

Chi-Square Te sts EMPLOY 1,00

2,00

3,00

4,00

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square a Continuity Correction Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

6 6

Asymp. Sig. (2-sided) ,462 ,316

,490

1

,484

17 3,000c ,750 3,819

1 1 1

,083 ,386 ,051

Value 5,667b 7,057

2,500

df

1

,114

16 16

,005 ,024

1,759

1

,185

63 12,000e 12,137

6 6

,062 ,059

2,590

1

,108

6 34,084d 29,027

Exact Sig. (2-sided)

Exact Sig. (1-sided)

,400

,200

6

a. Computed only for a 2x2 table b. 11 cells (91,7%) have expected count less than 5. The minimum expected count is ,06. c. 4 cells (100,0%) have expected count less than 5. The minimum expected count is 1,00. d. 22 cells (88,0%) have expected count less than 5. The minimum expected count is ,06. e. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,17.

Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well * range of age * EMPLOY Crosstab Count EMPLOY 1,00

2,00

3,00

4,00

18-25 Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total

26-35

range of age 36-45 46-55 0

56-65

66-75

Total

strongly agree

0

1

agree

2

0

0

2

no opinion

5

0

0

5

disagree

6

2

0

8

strongly disagree

1

0

0

1

1

13

3

1

17

strongly agree

1

0

1

agree

0

1

1

no opinion

1

1

2

disagree

0

1

1

strongly agree

2 0

3 2

2

1

2

5 7

agree

2

11

5

5

0

23

no opinion

3

3

6

3

0

15

disagree

1

7

4

4

0

16

strongly disagree

2

1

0

0

0

3

8

24

17

13

2

64

0

1

0

1

0

1

2

3

1

1

0

2

1

3

2

6

strongly agree agree strongly disagree

Chi-Square Te sts EMPLOY 1,00

2,00

3,00

4,00

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

8 8

Asymp. Sig. (2-sided) ,003 ,080

,910

1

,340

17 2,917 b 3,958

3 3

,405 ,266

,923

1

,337

5 30,827 c 22,202

16 16

,014 ,137

3,262

1

,071

64 4,667 d 5,545

4 4

,323 ,236

1,748

1

,186

Value 23,538 a 14,052

df

6

a. 14 cells (93,3%) have expected count less than 5. The minimum expected count is ,06. b. 8 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. c. 21 cells (84,0%) have expected count less than 5. The minimum expected count is ,09. d. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,17.

Advertising that shows women as sexual object should be restricted * range of age * SORTINC Crosstab Count SORTINC less than $50

$60-$100

$110-$200

more than $210

18-25 Advertising that shows women as sexual object should be restricted Total Advertising that shows women as sexual object should be restricted Total Advertising that shows women as sexual object should be restricted Total Advertising that shows women as sexual object should be restricted Total

range of age 36-45 46-55

26-35

56-65

66-75

Total

agree

1

0

1

no opinion

2

0

2

disagree

4

1

5

7 2 2 3 1 8 0 2 2 2 2 8 0 0 1 1 1 3

1 1 1 5 0 7 1 2 1 6 2 12 1 2 3 3 1 10

agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

3 3 0 0 6 0 2 5 5 1 13

1 0 2 0 3 0 0 0 9 0 9 1 0 0 2 0 3

3 0 0 0 3 0 1 0 0 0 1

1 0 0 0 1 1 0 0 0 0 1

8 11 6 10 1 28 2 7 8 22 5 44 2 2 4 6 2 16

Chi-Square Te sts SORTINC less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

2 2

Asymp. Sig. (2-sided) ,710 ,599

1

,480

8 18,868b 21,878

15 15

,220 ,111

5,714

1

,017

28 43,933c 31,123

20 20

,002 ,054

,594

1

,441

44 5,911d 7,307

8 8

,657 ,504

,635

1

,425

Value ,686a 1,024 ,500

df

16

a. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,13. b. 24 cells (100,0%) have expected count less than 5. The minimum expected count is ,04. c. 28 cells (93,3%) have expected count less than 5. The minimum expected count is ,05. d. 15 cells (100,0%) have expected count less than 5. The minimum expected count is ,38.

I associate sexual images of woman in advertising with freedom * range of age * SORTINC Crosstab Count SORTINC less than $50

$60-$100

$110-$200

more than $210

18-25 I associate sexual images of woman in advertising with freedom Total I associate sexual images of woman in advertising with freedom Total I associate sexual images of woman in advertising with freedom Total I associate sexual images of woman in advertising with freedom Total

strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree

26-35 1 2 2 1 1 7 0 4 2 2 0 8 0 2 4 2 0 8 0 1 1 1 3

0 1 0 0 0 1 1 3 2 1 0 7 2 2 1 7 0 12 1 4 2 3 10

range of age 36-45 46-55

0 1 2 3 0 6 0 2 6 5 0 13

56-65

0 0 0 3 0 3 0 6 1 1 1 9 0 1 1 1 3

66-75

1 0 1 0 1 3 0 0 0 0 1 1

Total

0 0 0 1 0 1 0 1 0 0 0 1

1 3 2 1 1 8 2 8 7 10 1 28 2 13 12 15 2 44 1 6 4 5 16

Chi-Square Te sts SORTINC less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

4 4

Asymp. Sig. (2-sided) ,753 ,697

1

,532

8 25,569b 24,023

20 20

,181 ,241

3,006

1

,083

28 46,174c 32,041

20 20

,001 ,043

,089

1

,766

44 ,924d 1,257

6 6

,988 ,974

,023

1

,880

Value 1,905a 2,209 ,391

df

16

a. 10 cells (100,0%) have expected count less than 5. The minimum expected count is ,13. b. 30 cells (100,0%) have expected count less than 5. The minimum expected count is ,04. c. 30 cells (100,0%) have expected count less than 5. The minimum expected count is ,05. d. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,19.

I find images of woman in advertising to be too offensive for our society * range of age * SORTINC Crosstab Count SORTINC less than $50

$60-$100

$110-$200

more than $210

18-25

range of age 36-45 46-55

26-35

56-65

66-75

Total

I find images of agree woman in advertising no opinion to be too offensive for disagree our society strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of no opinion woman in advertising disagree to be too offensive for strongly disagree our society

0 2 3 2 7 0 0 0 6 2 8 0 0 1 5 2 8

1 0 0 0 1 0 0 0 6 1 7 1 1 2 2 6 12

0

1

0

1

3

7

2

12

0

2

1

3

Total

3

10

3

16

1 0 2 2 1 6 0 2 1 9 1 13

1 0 0 2 0 3 0 1 0 8 0 9

0 3 0 0 0 3 1 0 0 0 0 1

0 1 0 0 0 1 1 0 0 0 0 1

1 2 3 2 8 2 4 2 16 4 28 3 4 4 24 9 44

Chi-Square Te sts SORTINC less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

3 3

Asymp. Sig. (2-sided) ,046 ,110

3,267

1

,071

8 42,375b 35,641

20 20

,002 ,017

12,453

1

,000

28 46,254c 34,499

20 20

,001 ,023

6,308

1

,012

44 1,822d 2,638

4 4

,768 ,620

,732

1

,392

Value 8,000a 6,028

df

16

a. 8 cells (100,0%) have expected count less than 5. The minimum expected count is ,13. b. 30 cells (100,0%) have expected count less than 5. The minimum expected count is ,07. c. 28 cells (93,3%) have expected count less than 5. The minimum expected count is ,07. d. 8 cells (88,9%) have expected count less than 5. The minimum expected count is ,19.

I find using women in advertising offensive * range of age * SORTINC Crosstab Count SORTINC less than $50

$60-$100

$110-$200

more than $210

18-25 I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive

Total I find using women in advertising offensive Total

range of age 36-45 46-55

26-35

56-65

66-75

Total

no opinion

1

0

1

disagree

3

1

4

strongly disagree

3

0

3

7 0 1 5 2 8 0 0 1 3 4 8

1 0 0 6 1 7 1 0 1 5 5 12

8 4 3 18 3 28 3 4 3 23 11 44

no opinion

0

1

0

1

disagree

2

6

1

9

strongly disagree

1

3

2

6

3

10

3

16

strongly agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

1 2 3 0 6 0 2 1 8 2 13

1 0 2 0 3 0 2 0 7 0 9

2 0 1 0 3 1 0 0 0 0 1

0 0 1 0 1 1 0 0 0 0 1

Chi-Square Te sts SORTINC less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

2 2

Asymp. Sig. (2-sided) ,565 ,465

1

,705

8 17,565b 18,356

15 15

,286 ,244

6,441

1

,011

28 42,548c 31,303

20 20

,002 ,051

10,553

1

,001

44 1,807d 2,075

4 4

,771 ,722

,813

1

,367

Value 1,143a 1,530 ,143

df

16

a. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,13. b. 23 cells (95,8%) have expected count less than 5. The minimum expected count is ,11. c. 28 cells (93,3%) have expected count less than 5. The minimum expected count is ,07. d. 8 cells (88,9%) have expected count less than 5. The minimum expected count is ,19.

Women should be able to do the all the different types of housework * range of age * SORTINC Crosstab Count SORTINC less than $50

$60-$100

$110-$200

more than $210

18-25 Women should be able to do the all the different types of housework Total Women should be able to do the all the different types of housework

Total Women should be able to do the all the different types of housework

Total Women should be able to do the all the different types of housework Total

agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree strongly agree agree disagree strongly disagree

26-35 1 1 3 2 7 1 4 0 2 1 8 2 1 0 2 3 8 0 3 0 0 3

1 0 0 0 1 1 3 0 2 1 7 2 5 1 4 0 12 0 5 3 2 10

range of age 36-45 46-55

0 4 2 0 0 6 0 8 1 3 1 13

56-65

1 1 0 1 0 3 2 5 0 2 0 9 3 0 0 0 3

66-75

0 2 0 1 0 3 0 1 0 0 0 1

Total

0 1 0 0 0 1 0 1 0 0 0 1

2 1 3 2 8 3 15 2 6 2 28 6 21 2 11 4 44 3 8 3 2 16

Chi-Square Te sts SORTINC less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

3 3

Asymp. Sig. (2-sided) ,330 ,354

2,139

1

,144

8 14,894b 16,388

20 20

,782 ,692

1

,479

28 18,950c 21,470

20 20

,525 ,370

3,151

1

,076

44 19,000d 18,903

6 6

,004 ,004

2,198

1

,138

Value 3,429a 3,256

,501

df

16

a. 8 cells (100,0%) have expected count less than 5. The minimum expected count is ,13. b. 30 cells (100,0%) have expected count less than 5. The minimum expected count is ,07. c. 28 cells (93,3%) have expected count less than 5. The minimum expected count is ,05. d. 11 cells (91,7%) have expected count less than 5. The minimum expected count is ,38.

Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality * range of age * marital status Crosstab Count marital status single

married

divorced

widow

living together

18-25 Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total

strongly agree agree no opinion disagree strongly disagree

26-35

range of age 36-45 46-55 0 0 1 0 1 0 1 1 0 0 3 1

56-65

66-75

Total

2 8 14 17 0 41

0 4 6 4 1 15

2 13 21 23 1 60

strongly agree

0

0

1

0

1

0

2

agree

1

3

4

8

1

0

17

no opinion

4

2

6

0

0

1

13

disagree

0

8

4

1

1

0

14

5

13

15

9

3

1

46

agree

0

0

1

1

no opinion

2

2

1

5

disagree

1

0

1

2

strongly disagree

0

0

1

1

3

2

4

9

no opinion

1

1

0

2

disagree

0

0

1

1

strongly disagree

1

1

0

2

2

2

1

5

no opinion

2

2

disagree

1

1

strongly disagree

1

1

4

4

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,876 ,833

1

,694

60 34,228 b 33,063

15 15

,003 ,005

4,138

1

,042

46 4,575 c 5,774

6 6

,599 ,449

,086

1

,769

9 5,000 d 5,004

4 4

,287 ,287

,000

1

1,000

Value 6,710 a 7,360 ,154

df

5 .e 4

a. 15 cells (75,0%) have expected count less than 5. The minimum expected count is ,02. b. 23 cells (95,8%) have expected count less than 5. The minimum expected count is ,04. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,22. d. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. e. No statistics are computed because range of age is a constant.

I find images of woman in advertising to be too offensive for our society * range of age * marital status Crosstab Count marital status single

married

divorced

widow

living together

18-25 I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of agree woman in advertising no opinion to be too offensive for disagree our society strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree Total I find images of disagree woman in advertising to be too offensive for strongly disagree our society Total

0 1 5 28 8 42 0 0 0 3 2 5

26-35 1 0 2 5 7 15 0 2 1 8 2 13 0 0 2 1 3

range of age 36-45 46-55 0 1 0 0 1 0 0 0 2 0 3 1 1 0 2 0 1 0 10 9 1 0 15 9 0 1 1 0 1 2 0 1 2 4 1 0 0 1 2

56-65

66-75

Total

1 2 0 0 0 3

0 1 0 0 0 1

0 1 1 0 2

1 0 0 0 1

2 1 8 33 17 61 2 7 2 30 5 46 1 1 5 2 9 2 1 1 1 5

3

3

1

1

4

4

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,000 ,044

1,399

1

,237

61 30,745 b 28,442

20 20

,059 ,099

8,051

1

,005

46 5,475 c 5,774

6 6

,484 ,449

,601

1

,438

9 6,250 d 7,777

6 6

,396 ,255

,681

1

,409

Value 41,659 a 21,438

df

5 .e 4

a. 16 cells (80,0%) have expected count less than 5. The minimum expected count is ,02. b. 27 cells (90,0%) have expected count less than 5. The minimum expected count is ,04. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,22. d. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. e. No statistics are computed because range of age is a constant.

I find using women in advertising offensive * range of age * marital status Crosstab Count marital status single

married

divorced

widow

18-25 I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive

Total living together I find using women in advertising offensive Total

strongly agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

0 5 24 13 42 0 0 0 2 3 5

26-35 2 1 6 6 15 0 0 0 10 3 13

range of age 36-45 46-55 0 1 0 0 2 0 1 0 3 1 1 0 2 1 1 0 9 7 2 1 15 9

56-65

66-75

2 0 0 1 0 3

Total

0 0 0 1 0 1

3 6 32 20 61 3 3 1 30 9 46

no opinion

0

2

0

2

disagree

2

0

3

5

strongly disagree

1

0

1

2

3

2

4

9

strongly agree

1

1

1

3

agree

1

0

0

1

disagree

0

1

0

1

2

2

1

5

disagree strongly disagree

3

3

1

1

4

4

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases

9 9

Asymp. Sig. (2-sided) ,003 ,127

4,268

1

,039

61 30,689 b 22,382

20 20

,059 ,320

7,787

1

,005

46 9,075 c 9,593

4 4

,059 ,048

,000

1

1,000

9 3,333 d 3,958

4 4

,504 ,412

,008

1

,927

Value 25,354 a 13,877

df

5 .e 4

a. 13 cells (81,3%) have expected count less than 5. The minimum expected count is ,05. b. 27 cells (90,0%) have expected count less than 5. The minimum expected count is ,02. c. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,44. d. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. e. No statistics are computed because range of age is a constant.

I find that women image in advertising has a negative effect on my own perception by other * range of age * marital status Crosstab Count marital status single

married

divorced

widow

living together

18-25 I find that women image in advertising has a negative effect on my own perception by other

Total I find that women image in advertising has a negative effect on my own perception by other

Total I find that women image in advertising has a negative effect on my own perception by other Total I find that women image in advertising has a negative effect on my own perception by other Total I find that women image in advertising has a negative effect on my own perception by other Total

strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

0 1 7 18 16 42 0 1 0 2 2 5

26-35 2 1 0 7 5 15 0 3 0 9 1 13

range of age 36-45 46-55 0 0 0 1 0 0 2 0 1 0 3 1 0 0 1 0 4 1 7 7 3 0 15 8

56-65

66-75

1 1 1 0 0 3

Total

0 0 0 1 0 1

2 3 7 27 22 61 1 6 6 26 6 45

no opinion

0

2

0

2

disagree

2

0

3

5

strongly disagree

1

0

1

2

3

2

4 0 1 1 0 2

strongly agree agree no opinion disagree

1 0 1 0 2

0 0 0 1 1

9 1 1 2 1 5

disagree 4

4

4

4

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,003 ,114

2,569

1

,109

61 32,361 b 28,642

20 20

,040 ,095

1,797

1

,180

45 9,075 c 9,593

4 4

,059 ,048

,000

1

1,000

9 7,500 d 7,777

6 6

,277 ,255

,703

1

,402

Value 29,740 a 18,042

df

5 .e 4

a. 16 cells (80,0%) have expected count less than 5. The minimum expected count is ,03. b. 28 cells (93,3%) have expected count less than 5. The minimum expected count is ,02. c. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,44. d. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. e. No statistics are computed because I find that women image in advertising has a negative effect on my own perception by other and range of age are constants.

Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well * range of age * marital status Crosstab Count marital status single

married

divorced

widow

living together

18-25 Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total Company that shows women in offensive way in their advertising are usually discriminating against women in workplace as well Total

26-35

range of age 36-45 46-55 1 1

56-65

66-75

Total

strongly agree

1

1

agree

7

6

0

0

13

no opinion

20

2

1

0

23

disagree

10

5

0

0

15

3

1

1

0

5

41 0

15 1

3 2

1 1

2

0

60 6

agree

1

6

5

4

0

1

17

no opinion

1

2

3

1

0

0

7

disagree

2

4

5

3

0

0

14

strongly disagree

1

0

0

0

1

0

2

5

13

15

9

3

1

46

agree

2

0

1

3

no opinion

1

2

1

4

disagree

0

0

1

1

strongly disagree

0

0

1

1

3

2

4

strongly disagree strongly agree

4

9

strongly agree

0

1

0

1

agree

0

1

1

2

no opinion

1

0

0

1

strongly disagree

1

0

0

1

2

2

1

5

strongly agree 1

1

3

3

4

4

disagree

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,004 ,073

2,593

1

,107

60 23,479 b 20,474

20 20

,266 ,429

2,078

1

,149

46 6,063 c 6,959

6 6

,416 ,325

2,323

1

,128

9 6,250 d 7,777

6 6

,396 ,255

1,795

1

,180

Value 28,832 a 19,711

df

5 .e 4

a. 16 cells (80,0%) have expected count less than 5. The minimum expected count is ,07. b. 29 cells (96,7%) have expected count less than 5. The minimum expected count is ,04. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,22. d. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. e. No statistics are computed because range of age is a constant.

I prefer to watch advertisement that uses women to attract attention * education level * EMPLOY Crosstab Count EMPLOY 1,00

2,00

3,00

4,00

school I prefer to watch strongly agree advertisement agree that uses women no opinion to attract attention disagree strongly disagree Total I prefer to watch agree advertisement that uses women disagree to attract attention Total I prefer to watch strongly agree advertisement agree that uses women no opinion to attract attention disagree strongly disagree Total I prefer to watch strongly agree advertisement no opinion that uses women disagree to attract attention strongly disagree Total

high school

education level liceum college

institute 0 0 0 0 1 1

university 1 7 3 3 0 14

1

1

1

3

0

2

0

2

1 3 3 7 5 1 19 0 1 0 0 1

3 0 7 7 6 2 22 0 1 1 1 3

1 2 6 3 4 1 16 1 0 0 0 1

5 5 18 19 19 4 65 1 2 1 1 5

0 0 0 2 0 2

0 1 1 0 0 2

0 1 1 3 0 5

0 0 0 1 0 1

Total 1 7 3 5 1 17

Chi-Square Te sts EMPLOY 1,00

2,00

3,00

4,00

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

8 8

Asymp. Sig. (2-sided) ,004 ,114

3,260

1

,071

17 2,222 b 2,911

2 2

,329 ,233

,000

1

1,000

20 20

,855 ,717

,349

1

,555

65 6,667 d 6,730

6 6

,353 ,347

,909

1

,340

Value 22,343 a 12,933

5 13,500 c 15,998

df

5

a. 14 cells (93,3%) have expected count less than 5. The minimum expected count is ,06. b. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. c. 24 cells (80,0%) have expected count less than 5. The minimum expected count is ,06. d. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20.

Companies should be more careful to the content of their advertisement * education level * marital status Crosstab Count marital status single

married

divorced

widow

living together

high school 1 1 0 0 0 2 1 0 1 0 2

education level liceum college 0 6 1 0 0 0 0 0 0 1 1 7 5 5 0 0 10

institute 3 5 0 0 0 8 15 4 0 0 19

university 25 4 0 0 2 31 9 2 0 1 12

Total 40 13 2 1 3 59 31 12 1 1 45

strongly agree

1

1

4

1

7

disagree

0

1

0

0

1

strongly disagree

0

1

0

0

1

1

3

4

1

9

0

3

1

4

1

0

0

1

1

3

1

5

1

1

0

1

3

0

0

1

0

1

1

1

1

1

4

school Companies should be more careful to the content of their advertisement Total Companies should be more careful to the content of their advertisement Total Companies should be more careful to the content of their advertisement Total Companies should be more careful to the content of their advertisement Total Companies should be more careful to the content of their advertisement Total

strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion strongly disagree

5 2 2 1 0 10 1 1 0 0 2

strongly agree agree

strongly agree agree

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

20 20

Asymp. Sig. (2-sided) ,037 ,101

1,817

1

,178

59 28,977 b 13,775

12 12

,004 ,315

,455

1

,500

45 5,143 c 5,716

6 6

,526 ,456

,387

1

,534

9 5,000 d 5,004

2 2

,082 ,082

2,500

1

,114

5 4,000 e 4,499

3 3

,261 ,212

,257

1

,612

Value 32,603 a 28,374

df

4

a. 26 cells (86,7%) have expected count less than 5. The minimum expected count is ,02. b. 16 cells (80,0%) have expected count less than 5. The minimum expected count is ,04. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,11. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. e. 8 cells (100,0%) have expected count less than 5. The minimum expected count is ,25.

Advertising that shows women as sexual object should be restricted * compressed employment status * compressed income levels Crosstab Count compressed income levels less than $50

$60-$100

$110-$200

more than $210

compressed employment status 1,00 2,00 3,00 4,00 Advertising that shows women as sexual object should be restricted Total Advertising that shows women as sexual object should be restricted Total Advertising that shows women as sexual object should be restricted Total Advertising that shows women as sexual object should be restricted Total

no opinion disagree

agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

Total

2

0

2

1

1

2

3 1 2 1 1 5 0 1 2 1 1 5 0 0 0 1 1 2

1 0 0 5 0 5

8 4 6 0 18 0 5 5 21 4 35 2 2 4 5 1 14

2 0 1 0 3 1 1 0 0 0 2

4 11 6 13 1 31 1 7 7 22 5 42 2 2 4 6 2 16

Chi-Square Te sts compressed income levels less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square a Continuity Correction Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

Value 1,333 b ,000 1,726

df 1 1 1

Asymp. Sig. (2-sided) ,248 1,000 ,189

1,000

1

,317

4 16,231 c 16,632

9 9

,062 ,055

3,338

1

,068

31 26,528 d 13,559

8 8

,001 ,094

,340

1

,560

42 3,810 e 3,877

4 4

,432 ,423

2,329

1

,127

Exact Sig. (2-sided)

Exact Sig. (1-sided)

1,000

,500

16

a. Computed only for a 2x2 table b. 4 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. c. 14 cells (87,5%) have expected count less than 5. The minimum expected count is ,10. d. 12 cells (80,0%) have expected count less than 5. The minimum expected count is ,05. e. 9 cells (90,0%) have expected count less than 5. The minimum expected count is ,25.

I find images of woman in advertising to be too offensive for our society * compressed employment status * compressed income levels Crosstab Count compressed income levels less than $50

$60-$100

$110-$200

more than $210

1,00 I find images of agree woman in advertising no opinion to be too offensive for strongly disagree our society

compressed employment status 2,00 3,00 4,00 0 1

Total 1

1

0

1

2

0

2

Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of strongly agree woman in advertising agree to be too offensive for no opinion our society disagree strongly disagree Total I find images of no opinion woman in advertising disagree to be too offensive for strongly disagree our society

3 0 0 0 4 1 5 0 0 0 2 3 5

1 0 0 0 3 2 5

Total

1 2 2 10 3 18 0 4 3 22 6 35

1 2 0 0 0 3 2 0 0 0 0 2

4 2 4 2 17 6 31 2 4 3 24 9 42

0

1

1

2

10

12

0

3

3

2

14

16

Chi-Square Te sts compressed income levels less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

2 2

Asymp. Sig. (2-sided) ,135 ,105

1,815

1

,178

4 17,526b 17,023

12 12

,131 ,149

7,326

1

,007

31 47,200c 20,998

8 8

,000 ,007

8,234

1

,004

42 ,762d 1,243

2 2

,683 ,537

,143

1

,705

Value 4,000a 4,499

df

16

a. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,25. b. 19 cells (95,0%) have expected count less than 5. The minimum expected count is ,19. c. 13 cells (86,7%) have expected count less than 5. The minimum expected count is ,10. d. 5 cells (83,3%) have expected count less than 5. The minimum expected count is ,13.

I find using women in advertising offensive * compressed employment status * compressed income levels Crosstab Count compressed income levels less than $50

$60-$100

$110-$200

more than $210

no opinion

compressed employment status 2,00 3,00 4,00 1 0

disagree

0

1

1

strongly disagree

2

0

2

3 0 1 3 1 5 0 0 0 1 4 5

1 0 0 3 2 5

1,00 I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive

Total I find using women in advertising offensive Total

strongly agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

3 2 11 2 18 0 4 2 23 6 35

Total 1

1 0 2 0 3 2 0 0 0 0 2

4 4 3 19 5 31 2 4 2 24 10 42

no opinion

0

2

2

disagree

1

7

8

strongly disagree

1

5

6

2

14

16

Chi-Square Te sts compressed income levels less than $50

$60-$100

$110-$200

more than $210

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

2 2

Asymp. Sig. (2-sided) ,135 ,105

,091

1

,763

4 6,416b 8,027

9 9

,698 ,531

2,479

1

,115

31 51,760c 24,449

8 8

,000 ,002

10,171

1

,001

42 ,381d ,622

2 2

,827 ,733

,306

1

,580

Value 4,000a 4,499

df

16

a. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,25. b. 15 cells (93,8%) have expected count less than 5. The minimum expected count is ,29. c. 13 cells (86,7%) have expected count less than 5. The minimum expected count is ,10. d. 4 cells (66,7%) have expected count less than 5. The minimum expected count is ,25.

Advertising usually shows men as the ideal companion to be with * employment status * marital status Crosstab Count employment status

marital status single

married

divorced

widow

living together

Advertising usually shows men as the ideal companion to be with Total Advertising usually shows men as the ideal companion to be with Total Advertising usually shows men as the ideal companion to be with Total Advertising usually shows men as the ideal companion to be with Total Advertising usually shows men as the ideal companion to be with Total

strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

Part/Full time work (not full working day) 3 4 1 4 1 13 0 0 0 1 1 2

agree no opinion disagree strongly disagree

part time 0 3 0 3 0 6 0 2 0 0 0 2

full day 0 8 0 6 3 17 3 19 3 11 0 36 3 2 3 1 9

retired

0 3 0 0 0 3

looking for job 1 2 1 8 2 14 1 0 1 0 0 2 1 0 1 0 2

Total 4 17 2 21 6 50 4 24 4 12 1 45 4 2 4 1 11

strongly agree

0

2

2

agree

1

1

2

no opinion

1

0

1

3

strongly agree agree no opinion disagree

2 0 0 2 1 3

0 1 0 0 1

1 0 0 0 1

5 1 1 2 1 5

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,365 ,222

3,411

1

,065

50 37,031 b 22,502

16 16

,002 ,128

4,829

1

,028

45 ,917 c 1,434

3 3

,821 ,698

,069

1

,792

11 2,917 d 3,958

2 2

,233 ,138

2,333

1

,127

5 10,000 e 9,503

6 6

,125 ,147

1

,535

Value 13,062 a 15,362

,385

df

5

a. 16 cells (80,0%) have expected count less than 5. The minimum expected count is ,24. b. 23 cells (92,0%) have expected count less than 5. The minimum expected count is ,04. c. 8 cells (100,0%) have expected count less than 5. The minimum expected count is ,18. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. e. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20.

I find using women in advertising offensive * employment status * marital status Crosstab Count employment status

marital status single

married

divorced

widow

I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive Total I find using women in advertising offensive

Total living together I find using women in advertising offensive Total

strongly agree no opinion disagree strongly disagree strongly agree agree no opinion disagree strongly disagree

Part/Full time work (not full working day) 0 2 5 6 13 0 0 0 1 1 2

part time 0 0 3 3 6 0 0 0 2 0 2

full day 0 2 9 6 17 2 3 1 23 7 36

retired

1 0 0 2 0 3

looking for job 2 1 6 5 14 0 0 0 2 0 2

Total 2 5 23 20 50 3 3 1 30 8 45

no opinion

2

0

2

disagree

7

0

7

strongly disagree

0

2

2

2

11

9 strongly agree

1

2

3

agree

1

0

1

disagree

0

1

1

2

3

5

no opinion

0

0

1

1

disagree

0

3

0

3

strongly disagree

1

0

0

1

1

3

1

5

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

9 9

Asymp. Sig. (2-sided) ,626 ,575

2,124

1

,145

50 7,927 b 8,308

16 16

,951 ,939

1,047

1

,306

45 11,000 c 10,431

2 2

,004 ,005

6,111

1

,013

11 2,222 d 2,911

2 2

,329 ,233

,176

1

,674

5 10,000 e 9,503

4 4

,040 ,050

4,000

1

,046

Value 7,108 a 7,604

df

5

a. 10 cells (62,5%) have expected count less than 5. The minimum expected count is ,24. b. 23 cells (92,0%) have expected count less than 5. The minimum expected count is ,04. c. 5 cells (83,3%) have expected count less than 5. The minimum expected count is ,36. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. e. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,20.

Companies have understood the importance of women as consumers * employment status * marital status Crosstab Count employment status

marital status single

married

divorced

widow

living together

Companies have understood the importance of women as consumers Total Companies have understood the importance of women as consumers Total Companies have understood the importance of women as consumers Total Companies have understood the importance of women as consumers Total Companies have understood the importance of women as consumers Total

strongly agree agree no opinion disagree

Part/Full time work (not full working day) 2 8 2 1 13 2 0 0 0 0 2

part time 1 4 0 1 6 2 0 0 0 0 2

full day

retired

looking for job 5 6 2 1 14 0 1 0 0 1 2 1 1 0 0 2

Total 12 27 4 6 49 12 26 1 4 2 45 3 4 2 2 11

4 9 0 3 16 7 24 0 4 1 36 2 3 2 2 9

1 1 1 0 0 3

strongly agree

1

1

2

agree

1

1

2

no opinion

0

1

1

2

3

5

strongly agree agree no opinion disagree strongly disagree strongly agree agree no opinion strongly disagree

agree no opinion

1

3

0

4

0

0

1

1

1

3

1

5

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

9 9

Asymp. Sig. (2-sided) ,702 ,545

1

,491

49 37,364 b 23,180

16 16

,002 ,109

6,382

1

,012

45 1,477 c 2,113

3 3

,688 ,549

1,075

1

,300

11 ,833 d 1,185

2 2

,659 ,553

,429

1

,513

5 5,000 e 5,004

2 2

,082 ,082

2,500

1

,114

Value 6,376 a 7,894 ,474

df

5

a. 13 cells (81,3%) have expected count less than 5. The minimum expected count is ,49. b. 23 cells (92,0%) have expected count less than 5. The minimum expected count is ,04. c. 8 cells (100,0%) have expected count less than 5. The minimum expected count is ,36. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. e. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,20.

Companies should be more careful to the content of their advertisement * SORTINC * marital status Crosstab Count SORTINC marital status single

married

divorced

widow

Companies should be more careful to the content of their advertisement Total Companies should be more careful to the content of their advertisement Total Companies should be more careful to the content of their advertisement Total Companies should be more careful to the content of their advertisement

Total living together Companies should be more careful to the content of their advertisement Total

less than $50 4

$60-$100 11

$110-$200 12

more than $210 4

Total 31

agree

2

2

0

2

6

strongly disagree

0

1

1

1

3

strongly agree agree no opinion strongly disagree

6 1 0 0 1 2

14 7 2 1 0 10

13 16 7 0 0 23

7 5 3 0 0 8

40 29 12 1 1 43

strongly agree

1

3

2

6

disagree

1

0

0

1

strongly disagree

1

0

0

1

3

3

2

8

1

2

3

1

0

1

2

2

4

1

0

2

3

0

1

0

1

1

1

2

4

strongly agree

strongly agree agree

strongly agree agree

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square a Continuity Correction Likelihood Ratio Fisher's Exact Test Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

6 6

Asymp. Sig. (2-sided) ,437 ,263

1

,484

40 25,043c 10,861

9 9

,003 ,285

2,872

1

,090

43 4,444d 5,178

4 4

,349 ,269

2,854

1

,091

8 1,333e ,000 1,726

1 1 1

,248 1,000 ,189

Value 5,877b 7,674 ,489

df

1,000

1

,317

4 4,000f 4,499

2 2

,135 ,105

,091

1

,763

Exact Sig. (2-sided)

Exact Sig. (1-sided)

1,000

,500

4

a. Computed only for a 2x2 table b. 9 cells (75,0%) have expected count less than 5. The minimum expected count is ,45. c. 12 cells (75,0%) have expected count less than 5. The minimum expected count is ,05. d. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,25. e. 4 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. f. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,25.

Advertising shows an accurate view of women power in society * SORTINC * marital status Crosstab Count SORTINC marital status single

married

divorced

widow

living together

less than $50 Advertising shows strongly agree 0 an accurate view of agree 0 women power in no opinion 3 society disagree 3 strongly disagree 0 Total 6 Advertising shows agree 0 an accurate view of no opinion 1 women power in disagree 1 society strongly disagree 0 Total 2 Advertising shows strongly agree an accurate view of no opinion women power in disagree society strongly disagree Total Advertising shows agree an accurate view of disagree women power in strongly disagree society Total Advertising shows strongly agree an accurate view of no opinion women power in disagree society strongly disagree Total

more than $210 1 3 2 1 0 7 2 0 5 1 8 0 0 2 0 2

$60-$100 0 3 0 11 0 14 4 2 5 0 11 0 2 0 1 3

$110-$200 0 1 1 6 5 13 4 4 12 3 23 1 1 2 1 5

1

0

1

1

1

2

0

1

1

2 1 0 0 0 1

2 0 0 1 0 1

0 1 0 1 2

Total 1 7 6 21 5 40 10 7 23 4 44 1 3 4 2 10

4 1 1 1 1 4

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,002 ,001

1,549

1

,213

40 6,401 b 8,596

9 9

,699 ,475

1,216

1

,270

44 6,778 c 8,456

6 6

,342 ,207

,053

1

,817

10 2,000 d 2,773

2 2

,368 ,250

1,421

1

,233

4 8,000 e 8,318

6 6

,238 ,216

1,753

1

,185

Value 31,748 a 32,565

df

4

a. 18 cells (90,0%) have expected count less than 5. The minimum expected count is ,15. b. 13 cells (81,3%) have expected count less than 5. The minimum expected count is ,18. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. e. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,25.

Advertising usually shows men as the ideal companion to be with * SORTINC * marital status Crosstab Count SORTINC marital status single

married

divorced

widow

living together

Advertising usually shows men as the ideal companion to be with

Total Advertising usually shows men as the ideal companion to be with

Total Advertising usually shows men as the ideal companion to be with Total Advertising usually shows men as the ideal companion to be with Total Advertising usually shows men as the ideal companion to be with Total

less than $50 strongly agree 1 agree 2 no opinion 1 disagree 2 strongly disagree 0 6 strongly agree 0 agree 1 no opinion 0 disagree 0 strongly disagree 1 2 agree no opinion disagree strongly disagree

more than $210 1 4 0 2 0 7 3 1 0 4 0 8 1 0 1 0 2

$60-$100 1 6 1 5 1 14 0 10 0 1 0 11 0 2 1 0 3

$110-$200 0 4 1 5 3 13 1 11 3 8 0 23 3 0 1 1 5

Total

strongly agree

1

1

2

agree

1

0

1

no opinion

0

1

1

2

2

4

agree

0

1

0

1

no opinion

0

0

2

2

disagree

1

0

0

1

1

1

2

4

3 16 3 14 4 40 4 23 3 13 1 44 4 2 3 1 10

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,790 ,645

1

,891

12 12

,000 ,006

,070

1

,791

44 7,861 c 9,503

6 6

,248 ,147

,136

1

,712

10 2,000 d 2,773

2 2

,368 ,250

,273

1

,602

4 8,000 e 8,318

4 4

,092 ,081

,545

1

,460

Value 7,937 a 9,674 ,019 40 41,739 b 27,725

df

4

a. 18 cells (90,0%) have expected count less than 5. The minimum expected count is ,45. b. 17 cells (85,0%) have expected count less than 5. The minimum expected count is ,05. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. e. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,25.

The use of female sexuality in most of advertising is unsuitable * SORTINC * marital status Crosstab Count SORTINC marital status single

married

divorced

widow

living together

The use of female sexuality in most of advertising is unsuitable

Total The use of female sexuality in most of advertising is unsuitable

Total The use of female sexuality in most of advertising is unsuitable Total The use of female sexuality in most of advertising is unsuitable Total The use of female sexuality in most of advertising is unsuitable Total

less than $50 strongly agree 0 agree 1 no opinion 1 disagree 4 strongly disagree 0 6 strongly agree 0 agree 0 no opinion 0 disagree 1 strongly disagree 1 2 strongly agree no opinion disagree strongly disagree

more than $210 0 3 0 2 2 7 1 0 0 4 3 8 0 0 1 1 2

$60-$100 1 1 1 9 1 13 0 8 2 1 0 11 0 2 1 0 3

$110-$200 1 2 0 6 3 12 0 5 6 11 0 22 1 1 3 0 5

Total

strongly agree

0

1

1

agree

1

1

2

strongly disagree

1

0

1

2 7 2 21 6 38 1 13 8 17 4 43 1 3 5 1 10

2

2

agree

0

0

1

4 1

no opinion

0

0

1

1

disagree

1

1

0

2

1

1

2

4

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

12 12

Asymp. Sig. (2-sided) ,512 ,379

1

,931

38 34,062 b 35,356

12 12

,001 ,000

3,848

1

,050

43 7,378 c 7,271

6 6

,287 ,296

1,093

1

,296

10 2,000 d 2,773

2 2

,368 ,250

1,333

1

,248

4 4,000 e 5,545

4 4

,406 ,236

2,008

1

,156

Value 11,203 a 12,870 ,007

df

4

a. 18 cells (90,0%) have expected count less than 5. The minimum expected count is ,32. b. 18 cells (90,0%) have expected count less than 5. The minimum expected count is ,05. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,20. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. e. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,25.

Companies have understood the importance of women as consumers * SORTINC * marital status Crosstab Count SORTINC marital status single

married

divorced

widow

living together

Companies have understood the importance of women as consumers Total Companies have understood the importance of women as consumers

Total Companies have understood the importance of women as consumers Total Companies have understood the importance of women as consumers Total Companies have understood the importance of women as consumers Total

less than $50 strongly agree 1 agree 3 no opinion 2 disagree 0 6 strongly agree 2 agree 0 no opinion 0 disagree 0 strongly disagree 0 2 strongly agree agree no opinion strongly disagree

more than $210 1 2 0 4 7 3 2 0 1 2 8 0 2 0 0 2

$60-$100 0 12 0 1 13 2 6 1 2 0 11 1 0 1 1 3

$110-$200 4 5 3 1 13 5 17 0 1 0 23 1 2 1 1 5

Total

strongly agree

1

1

2

agree

0

1

1

no opinion

1

0

1

2

2

4

1

1

2

4

1

1

2

4

6 22 5 6 39 12 25 1 4 2 44 2 4 2 2 10

agree

Chi-Square Te sts marital status single

married

divorced

widow

living together

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square N of Valid Cases

9 9

Asymp. Sig. (2-sided) ,004 ,003

2,177

1

,140

39 22,385 b 19,913

12 12

,033 ,069

1,489

1

,222

44 5,000 c 6,730

6 6

,544 ,347

,575

1

,448

10 2,000 d 2,773

2 2

,368 ,250

,273

1

,602

Value 24,187 a 25,175

df

4 .e 4

a. 14 cells (87,5%) have expected count less than 5. The minimum expected count is ,77. b. 17 cells (85,0%) have expected count less than 5. The minimum expected count is ,05. c. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. d. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. e. No statistics are computed because Companies have understood the importance of women as consumers is a constant.

Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality * range of age * compressed employment status Crosstab Count compressed employment status 1,00

2,00

3,00

4,00

18-25 Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total Advertising that shows women as sexual objects encourages other 35 women to feel freer in their sexuality Total

strongly agree agree no opinion disagree strongly disagree

26-35

range of age 36-45 46-55 0 1 0 0 0 1

56-65

66-75

Total

1 3 4 5 0 13

0 1 0 1 1 3

agree

2

1

3

no opinion

0

1

1

disagree

0

1

1

strongly agree agree no opinion disagree strongly disagree

2 0 1 4 3 0 8

3 0 5 8 10 1 24

1 3 9 4 0 17

1 5 4 6 1 17

5 2 18 21 19 4 64

0 9 0 2 2 13

1 0 0 0 1 2

agree

0

1

0

1

no opinion

1

1

1

3

disagree

0

1

1

2

1

3

2

6

Chi-Square Te sts compressed employment status 1,00

2,00

3,00

4,00

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

8 8

Asymp. Sig. (2-sided) ,388 ,420

,013

1

,908

17 2,222 b 2,911

2 2

,329 ,233

1,500

1

,221

5 46,431 c 38,480

16 16

,000 ,001

2,252

1

,133

64 2,167 d 2,773

4 4

,705 ,597

,433

1

,511

Value 8,485 a 8,139

df

6

a. 15 cells (100,0%) have expected count less than 5. The minimum expected count is ,06. b. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,40. c. 20 cells (80,0%) have expected count less than 5. The minimum expected count is ,06. d. 9 cells (100,0%) have expected count less than 5. The minimum expected count is ,17.

I associate sexual images of woman in advertising with freedom * range of age * compressed employment status Crosstab Count compressed employment status 1,00

2,00

3,00

4,00

18-25 I associate sexual images of woman in advertising with freedom

Total I associate sexual images of woman in advertising with freedom Total I associate sexual images of woman in advertising with freedom

Total I associate sexual images of woman in advertising with freedom Total

strongly agree agree no opinion disagree strongly disagree

26-35

range of age 36-45 46-55 0 1 0 0 0 1

56-65

66-75

Total

1 3 6 2 1 13

1 2 0 0 0 3

strongly agree

0

1

1

agree

2

2

4

no opinion

1

0

1

strongly agree agree no opinion disagree strongly disagree

3 0 2 3 3 0 8

3 2 6 4 12 0 24

6 3 16 17 26 2 64 1 2 2 1 6

agree no opinion disagree strongly disagree

0 2 8 7 0 17

0 6 2 4 1 13 0 0 1 0 1

2 6 6 2 1 17

1 0 0 0 1 2 0 2 0 1 3

1 0 1 0 2

Chi-Square Te sts compressed employment status 1,00

2,00

3,00

4,00

Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases

8 8

Asymp. Sig. (2-sided) ,555 ,420

2,903

1

,088

17 2,000 b 2,773

2 2

,368 ,250

1,667

1

,197

6 38,441 c 26,500

16 16

,001 ,047

,019

1

,890

64 7,500 d 9,364

6 6

,277 ,154

,722

1

,396

Value 6,829 a 8,139

df

6

a. 15 cells (100,0%) have expected count less than 5. The minimum expected count is ,06. b. 6 cells (100,0%) have expected count less than 5. The minimum expected count is ,50. c. 20 cells (80,0%) have expected count less than 5. The minimum expected count is ,06. d. 12 cells (100,0%) have expected count less than 5. The minimum expected count is ,17.