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Table Crosstab between marital status and employment status.
Employment status
Unemployed
.Marital status
Ever-married
Count
%
Single
Count
%
Total
Count
%
a
Pearson Chi-Square = 4.441
Table
Employed
Total
4
15
19
22.2%
53.6%
41.3%
14
13
27
77.8%
46.4%
58.7%
18
28
46
100.0%
100.0%
100.0%
; degrees of freedom = 1 p < 035 . Crosstab between level of education and employment status Employment status Unemployed Level of education High School Count % College Certificate Count % Bachelor's degree Count % Post-graduate Count % Total Count % Pearson Chi-Square = 3.205; degress of freedom = 3; p < .361 Employed Total 3 2 5 16.7% 7.1% 10.9% 2 7 9 11.1% 25.0% 19.6% 8 8 16 44.4% 28.6% 34.8% 5 11 16 27.8% 39.3% 34.8% 18 28 46 100.0% 100.0% 100.0% Table . Crosstab of marital status on â?? Women and men have equal opportunities in employmentâ?? Women and men have equal opportunities in employment Disagree .Marital status Ever-married Count % Single Count % Total Count % a; Pearson Chi-Square = 1.162 No opinion Agree Total 12 4 5 21 40.0% 28.6% 50.0% 38.9% 18 10 5 33 60.0% 71.4% 50.0% 61.1% 30 14 10 54 100.0% 100.0% 100.0% 100.0% degrees of freedom = 2; p < .559 Table Crosstab of marital status on â??Women can successfully lead organizationsâ?? Women can successfully lead organizations Disagree .Marital status Ever-married Count % Single Count % Total Count % Pearson Chi-Square = 2.823a ; degrees of freedom = 2, P < .244 No opinion Agree Total 4 7 10 21 26.7% 58.3% 38.5% 39.6% 11 5 16 32 73.3% 41.7% 61.5% 60.4% 15 12 26 53 100.0% 100.0% 100.0% 100.0% Table Crosstab of marital status on â??Islam religion has helped in uplifting womenâ?? Islam religion has helped in uplifting women Disagree .Marital status Ever-married Count % Single Total 1 15 21 31.3% 16.7% 48.4% 39.6% 11 5 16 32 68.8% 83.3% 51.6% 60.4% 16 6 31 53 100.0% 100.0% 100.0% 100.0% Count % Agree 5 Count % Total No opinion a Pearson Chi-Square = 2.786 , Degrees of freedom = 2, P < .248 Table Crosstab of marital status on â??Religious leaders do not give women a chance to lead in the mosquesâ?? Religious leaders do not give women a chance to lead in the mosques Disagree Marital status Ever-married Count % Single Count % Total Count % Pearson Chi-Square = .321a , degrees of freedom = 2, P < .852 No opinion Agree Total 7 5 9 21 38.9% 35.7% 45.0% 40.4% 11 9 11 31 61.1% 64.3% 55.0% 59.6% 18 14 20 52 100.0% 100.0% 100.0% 100.0% Table Crosstab of marital status on â??Women are now permitted to drive vehiclesâ?? Women are now permitted to drive vehicles. Disagree .Marital status Ever-married Count %. Single Total 2 16 21 25.0% 28.6% 47.1% 39.6% 9 5 18 32 75.0% 71.4% 52.9% 60.4% 12 7 34 53 100.0% 100.0% 100.0% 100.0% Count %. Agree 3 Count %. Total No opinion Pearson Chi-Square = 2.216a , degrees of freedom = 2, P < .330 Table Crosstab of marital status on â?? Womenâ??s education is key to ensuring development in the societyâ?? Womenâ??s education is key to ensuring development in the society Disagree .Marital status? Ever-married Count % Single Count % Total Count % Pearson Chi-Square = 4.328a, Degrees of freedom = 2, P < .115 No opinion Agree Total 6 0 15 21 54.5% 0.0% 41.7% 40.4% 5 5 21 31 45.5% 100.0% 58.3% 59.6% 11 5 36 52 100.0% 100.0% 100.0% 100.0% Table Crosstab of marital status on â??The new Vision 2030 does not have greater impact as far as women empowerment in Saudi Arabia is concernedâ?? The new Vision 2030 does not have greater impact as far as women empowerment in Saudi Arabia is concerned Disagree .Marital status Ever-married Count % Single Count % Total Count % ; Pearson Chi-Square = .966 degrees of freedom = 2; No opinion Agree Total 11 5 5 21 47.8% 33.3% 35.7% 40.4% 12 10 9 31 52.2% 66.7% 64.3% 59.6% 23 15 14 52 100.0% 100.0% 100.0% 100.0% p < .617 Table Crosstab of level of education on â?? Women and men have equal opportunities in employmentâ?? Women and men have equal opportunities in employment Disagree Level of education High School Count % College Certificate Count % Bachelor's degree Count % Post-graduate Count % No opinion Agree Total 7 2 0 9 23.3% 14.3% 0.0% 16.7% 3 6 1 10 10.0% 42.9% 10.0% 18.5% 10 4 5 19 33.3% 28.6% 50.0% 35.2% 10 2 4 16 33.3% 14.3% 40.0% 29.6% Total Count % 30 14 10 54 100.0% 100.0% 100.0% 100.0% 6 .088 a Pearson Chi-Square 11.001 Table Crosstab of level of education on â??Women can successfully lead organizations â?? Women can successfully lead organizations Disagree Level of education High School Count % College Certificate Count % Bachelor's degree Count % Post-graduate Count % Total Count % Pearson Chi-Square = 10.667 ; degrees of freedom = 6; P < .099 No opinion Agree Total 6 2 1 9 40.0% 16.7% 3.8% 17.0% 2 2 5 9 13.3% 16.7% 19.2% 17.0% 3 6 10 19 20.0% 50.0% 38.5% 35.8% 4 2 10 16 26.7% 16.7% 38.5% 30.2% 15 12 26 53 100.0% 100.0% 100.0% 100.0% Table Crosstab of level of education on â??Islam religion has helped in uplifting womenâ?? Islam religion has helped in uplifting women Disagree Level of education High School Count % College Certificate Post-graduate Total Count % Pearson Chi-Square = 3.480; ; Degrees of freedom = 6; 4 9 25.0% 16.7% 12.9% 17.0% 1 2 6 9 6.3% 33.3% 19.4% 17.0% 6 2 11 19 37.5% 33.3% 35.5% 35.8% 5 1 10 16 31.3% 16.7% 32.3% 30.2% 16 6 31 53 100.0% 100.0% 100.0% 100.0% Count % Total 1 Count % Agree 4 Count % Bachelor's degree No opinion P < .747 Table Crosstab of level of education on â?? Religious leaders do not give women a chance to lead in the mosquesâ?? Religious leaders do not give women a chance to lead in the mosques Disagree Level of education High School Count % No opinion Agree Total 3 3 2 8 16.7% 21.4% 10.0% 15.4% College Certificate Count % Bachelor's degree Count % Post-graduate Count % Total Count % 5.445a Pearson Chi-Square 4 4 1 9 22.2% 28.6% 5.0% 17.3% 6 4 9 19 33.3% 28.6% 45.0% 36.5% 5 3 8 16 27.8% 21.4% 40.0% 30.8% 18 14 20 52 100.0% 100.0% 100.0% 100.0% 6 .488 Table Crosstab level of education on â??Women are now permitted to drive vehicles.â?? Women are now permitted to drive vehicles. Disagree Level of education High School Count %. College Certificate Count %. Bachelor's degree Count %. Post-graduate Count %. Total Count %. Pearson Chi-Square = 6.948; Degrees of freedom = 6; P < .326 No opinion Agree Total 4 2 3 9 33.3% 28.6% 8.8% 17.0% 3 1 5 9 25.0% 14.3% 14.7% 17.0% 2 3 14 19 16.7% 42.9% 41.2% 35.8% 3 1 12 16 25.0% 14.3% 35.3% 30.2% 12 7 34 53 100.0% 100.0% 100.0% 100.0% Table Crosstab of level of education on â??Womenâ??s education is key to ensuring development in the societyâ?? Womenâ??s education is key to ensuring development in the society Disagree Level of education High School Count % College Certificate Count % Bachelor's degree Count % Post-graduate Count % Total Count % No opinion Agree Total 3 2 3 8 27.3% 40.0% 8.3% 15.4% 0 2 7 9 0.0% 40.0% 19.4% 17.3% 5 1 13 19 45.5% 20.0% 36.1% 36.5% 3 0 13 16 27.3% 0.0% 36.1% 30.8% 11 5 36 52 100.0% 100.0% 100.0% 100.0% Pearson Chi-Square = 10.161; degrees of freedom = 6 ; p < .118 Table. Crosstab of level of education on â??The new Vision 2030 does not have greater impact as far as women empowerment in Saudi Arabia is concernedâ?? The new Vision 2030 does not have greater impact as far as women empowerment in Saudi Arabia is concerned Disagree Level of education High School Count % College Certificate Post-graduate Total 2 8 21.7% 6.7% 14.3% 15.4% 3 4 2 9 13.0% 26.7% 14.3% 17.3% 5 6 8 19 21.7% 40.0% 57.1% 36.5% 10 4 2 16 43.5% 26.7% 14.3% 30.8% 23 15 14 52 100.0% 100.0% 100.0% 100.0% Count % Count % Total 1 Count % Agree 5 Count % Bachelor's degree No opinion ; Pearson Chi-Square = 8.011 Degrees of freedom = 6; P < .237 Logistic Regression Table Logistic regression of employment status on selected variables B Age t level of education Marital status Women are more qualified than men in S.E. Wald df Sig. Exp(B) .123 .081 2.315 1 .128 1.130 -.227 .456 .247 1 .619 .797 -1.053 .865 1.482 1 .223 .349 .356 .221 2.588 1 .108 1.427 -2.929 2.378 1.517 1 .218 .053 terms of labor skills requirements. Constant Dependent variable : Employment status (employed =1, and unemployed = 0) -2 Log likelihood = 48.046; Cox & Snell R Square = .230; Nagelkerke R Square = .310; ; Chi-square = 11.488, df = 4, p =.022 Ordinal Regression Table Ordinal regression of Women and men have equal opportunities in employment on selected variables 95% Confidence Interval Estimate Intercepts Variables Std. Error Wald df Sig. Lower Bound Upper Bound Strongly agree (1] -5.439 1.742 9.752 1 .002 -8.852 -2.025 [Agree ( 2] -3.932 1.614 5.930 1 .015 -7.096 -.767 Partly agree ( 3] -3.537 1.597 4.907 1 .027 -6.666 -.407 No opinion ( 4] -2.252 1.550 2.112 1 .146 -5.290 .785 Partly disagree ( 5] -1.631 1.536 1.127 1 .288 -4.642 1.380 Disagree (6] -.812 1.531 .282 1 .596 -3.812 2.188 Age -.083 .053 2.435 1 .119 -.188 .021 Marital Status -.540 .651 .687 1 .407 -1.816 .737 .177 .293 .365 1 .546 -.397 .751 Education level Link function: Logit. -2 Log Likelihood = 176.634; ; Chi-Square = 2.860; P < .414 ; Pseudo-R Square = .052 ... Purchase answer to see full attachment

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