Use the GSS2016.SAV file and SPSS to produce a CROSSTAB for the variables CLASS and RECYCLE. Before conducting your analysis, first reverse code SATJOB so that 1 = Very Dissatisfied; 2=Moderately Dissatisfied; 3=Moderately Satisfied; and 4=Very satisfied. Set all other values (8, 9) to system missing. Then examine the relationship between social class and job satisfaction 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
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Use the GSS2016.SAV file and SPSS to produce a CROSSTAB for the variables CLASS and RECYCLE. Before conducting your analysis, first reverse code SATJOB so that 1 = Very Dissatisfied; 2=Moderately Dissatisfied; 3=Moderately Satisfied; and 4=Very satisfied. Set all other values (8, 9) to system missing. Then examine the relationship between social class and job satisfaction 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:
![Case Processing Summary
Cases
Valid
Missing
Total
N
Percent
N
Percent
Percent
1872 65 3%
995 347%
Better for man to work
woman tend home
Respondents sex
2067 100 0%
Better for man to work, woman tend home " Respondents sex
Crosstabulation
Court
Respondents sex
MALE
FEMALE
Total
Better for man to work
woman tend home
STRONGLY AGREE
48
62
110
AOREE
182
223
405
DISAOREE
407
446
853
STRONOLY DISAOREE
189
315
504
Total
826
1046
1872
Chi-Square Tests
Asymptotic
Signiicance
2-sided)
Value
Pearson Chi-Square
13540
004
Likelihood Ratio
13.650
003
Linear-by Linear
Association
Nof Valid Cases
a.O cells (0.0%) have expected count less han 5. The
minimum expected count is 48.54
3.833
050
1872
Directional Measures
Asymptotic
Standard
Approximate
Significance
Approximate
Value
Eror
"
Nominal by Nominal Lambda
Symmetic
000
000
Beter for man to work
woman tend home
Dependent
000
000
Respondents sex
Dependent
000
000
Ooodman and Kruskal
Beter for man to work
004
002
000
tau
woman tend home
Dependent
Respondents sex
Dependent
.007
004
004
a Not assuming the null hypothesis
b. Cannot be computed because the asymptotic standard error equals zero.
c. Based on chisquare approximation
Symmetric Measures
Asymptote
Standard
Error
Approximate
Approximate
Signiicance
Value
Nominal by Nominal Phi
085
004
Cramer's V
085
004
Ordinal by Ordinal
Gamma
084
037
2250
.024
NofValid Cases
a. Not assuming the null hypothesis
1872
b. Using the asymptotic standard error assuming the null hypothesis.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ffb2c77ad-d5cb-44fe-abb9-4315f8ada10b%2Feb1007c4-6dea-4132-96e3-02da675f5a7b%2Ffa4xqi_processed.png&w=3840&q=75)
![](/static/compass_v2/shared-icons/check-mark.png)
Trending now
This is a popular solution!
Step by step
Solved in 4 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)