Produce a CROSSTAB for the variables DEGREE and MARHOMO. Before conducting the analyses, reverse code MARHOMO into R_MARHOMO so that 1 = Strongly Disagree; 2 = Disagree; 3 = Neither Agree nor Disagree; 4 = Agree; and 5 = Strongly Agree. Then, examine the relationship between these variables by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer’s V, Lambda, or Gamma). Set alpha to .05.State the null and research hypotheses:H0:H1:What is the obtained chi-square value?What is the significance level (p-value) for the obtained chi-square?Should we reject or fail to reject the null hypothesis?Is there a statistically significant relationship between these variables?Which measure of association would be most appropriate for these variables?What is the value of the measure of association?Interpret your findings by explaining in full sentences whether there is a statistically significant relationship or not and the strength of the relationship. Also explain any patterns you see in the percentages: Directional MeasuresAsymptoticApproximateValueStandard EgrorApproximate TSignificanceNominal by NominalLambdaSymmetric.000.000R's highest degree Dependent.000.000Homosexuals should have.000.000right to magyRecededDependentGoodman and Kruskal tauR's highest degree Dependent.005.001.000°Homosexuals should have.009.002.000€right to mary RecededDependenta. Not assuming the null hypothesis.b. Cannot be computed because the asymptotic standard error equals zero.c. Based on chi-square approximationSymmetric MeasuresAsymptoticApproximateValueStandard Error Approximate ToSignificanceNominal by NominalPhi.158.000Cramer's V079.000Ordinal by OrdinalGamma.181.0247.398.000N of Valid Cases2834a. Not assuming the null hypothesis.b. Using the asymptotic standard error assuming the null hypothesis.(Ctrl) - R's highest degree Homosexuals should have right to marry_Recoded CrosstabulationHomosexuals should have right to marry_RecodedStronglyDisagreeNeither AgreeDisagree nor DisagreeStronglyAgreeAgreeTotalR's highest degree LT HIGH SCHOOL Count50453053145323% within Homosexualsshould have right tomarry_Recoded16.2%20.2%13.5%11.4%9.0%11.4%HIGH SCHOOLCount1741181182397991448% within Homosexualsshould have right tomarry_Recoded56.3%52.9%52.9%51.5%49.5%51.1%JUNIOR COLLEGE Count18171644121216% within Homosexuals5.8%7.6%7.2%9.5%7.5%7.6%should have right tomarry_RecodedBACHELORCount51254378333530% within Homosexuals16.5%11.2%19.3%16.8%20.6%18.7%should have right tomarry_RecodedGRADUATECount16181650217317% within Homosexuals5.2%8.1%7.2%10.8%13.4%11.2%should have right tomarry_RecodedTotalCount30922322346416152834% within Homosexualsshould have right tomarry_Recoded100.0%100.0%100.0%100.0%100.0%100.0%Chi-Square TestsAsymptoticSignificance(2-sided)ValuedfPearson Chi-Square70.792*16.000Likelihood Ratio71.59516.000Linear-by-LinearAssociation51.9831.000N of Valid Cases2834a. O cells (0.0%) have expected count less than 5. Theminimum expected count is 17.00.

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Description: Produce a CROSSTAB for the variables DEGREE and MARHOMO. Before conducting the analyses, reverse code MARHOMO into R_MARHOMO so that 1 = Strongly Disagree; 2 = Disagree; 3 = Neither Agree nor Disagree; 4 = Agree; and 5 = Strongly Agree. Then, examine

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MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Produce a CROSSTAB for the variables DEGREE and MARHOMO. Before conducting the analyses, reverse code MARHOMO into R_MARHOMO so that 1 = Strongly Disagree; 2 = Disagree; 3 = Neither Agree nor Disagree; 4 = Agree; and 5 = Strongly Agree. Then, examine the relationship between these variables by testing both statistical significance and strength of association. Use chi-square for significance and choose the appropriate measures for strength of association (Phi, Cramer’s V, Lambda, or Gamma). Set alpha to .05.

State the null and research hypotheses:

H₀:

H₁:

What is the obtained chi-square value?

What is the significance level (p-value) for the obtained chi-square?

Should we reject or fail to reject the null hypothesis?

Is there a statistically significant relationship between these variables?

Which measure of association would be most appropriate for these variables?

What is the value of the measure of association?

Interpret your findings by explaining in full sentences whether there is a statistically significant relationship or not and the strength of the relationship. Also explain any patterns you see in the percentages:

Directional Measures
Asymptotic
Approximate
Value
Standard Egror
Approximate T
Significance
Nominal by Nominal
Lambda
Symmetric
.000
.000
R's highest degree Dependent
.000
.000
Homosexuals should have
.000
.000
right to magyReceded
Dependent
Goodman and Kruskal tau
R's highest degree Dependent
.005
.001
.000°
Homosexuals should have
.009
.002
.000€
right to mary Receded
Dependent
a. Not assuming the null hypothesis.
b. Cannot be computed because the asymptotic standard error equals zero.
c. Based on chi-square approximation
Symmetric Measures
Asymptotic
Approximate
Value
Standard Error Approximate To
Significance
Nominal by Nominal
Phi
.158
.000
Cramer's V
079
.000
Ordinal by Ordinal
Gamma
.181
.024
7.398
.000
N of Valid Cases
2834
a. Not assuming the null hypothesis.
b. Using the asymptotic standard error assuming the null hypothesis.
(Ctrl) -

R's highest degree Homosexuals should have right to marry_Recoded Crosstabulation
Homosexuals should have right to marry_Recoded
Strongly
Disagree
Neither Agree
Disagree nor Disagree
Strongly
Agree
Agree
Total
R's highest degree LT HIGH SCHOOL Count
50
45
30
53
145
323
% within Homosexuals
should have right to
marry_Recoded
16.2%
20.2%
13.5%
11.4%
9.0%
11.4%
HIGH SCHOOL
Count
174
118
118
239
799
1448
% within Homosexuals
should have right to
marry_Recoded
56.3%
52.9%
52.9%
51.5%
49.5%
51.1%
JUNIOR COLLEGE Count
18
17
16
44
121
216
% within Homosexuals
5.8%
7.6%
7.2%
9.5%
7.5%
7.6%
should have right to
marry_Recoded
BACHELOR
Count
51
25
43
78
333
530
% within Homosexuals
16.5%
11.2%
19.3%
16.8%
20.6%
18.7%
should have right to
marry_Recoded
GRADUATE
Count
16
18
16
50
217
317
% within Homosexuals
5.2%
8.1%
7.2%
10.8%
13.4%
11.2%
should have right to
marry_Recoded
Total
Count
309
223
223
464
1615
2834
% within Homosexuals
should have right to
marry_Recoded
100.0%
100.0%
100.0%
100.0%
100.0%
100.0%
Chi-Square Tests
Asymptotic
Significance
(2-sided)
Value
df
Pearson Chi-Square
70.792*
16
.000
Likelihood Ratio
71.595
16
.000
Linear-by-Linear
Association
51.983
1
.000
N of Valid Cases
2834
a. O cells (0.0%) have expected count less than 5. The
minimum expected count is 17.00.

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