Chi-Square Test for Independence Assignments | Online Homework Help
Chi-Square Test for Independence
The General Social Survey (GSS) gathers data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes. It allows researchers to examine the structure and functioning of society in general as well as the role played by relevant subgroups and to compare the United States to other nations. The GSS contains a standard core of demographic, behavioral, and attitudinal questions, plus topics of special interest. The variables that I have selected for this assignment come from a special module on gender collected in 2012.
You will conduct the following web-based analysis using the Survey Documentation and Analysis (SDA) software to create contingency tables. For this assignment, you will choose a dependent variable (outcome) from the options listed below. You will generate four tables to explore your outcome with four different independent variables and determine if these associations are statistically significant.[1] For each table, I need to see the following:
- The null and research hypotheses, clearly stating the variables that you are testing. No x, no y, no general or vague statements.
- The contingency table that you will copy and paste on your assignment.
- The value of the chi-square test which will be part of the output generated by the software and that you will copy and paste on your assignment.
- Your decision regarding the null hypothesis and how you reached that decision. For the decision, you can either use a chi-square table or the chi-square calculator from the Online Statistics Education textbook.
- Once you reject or fail to reject the null in the previous step, briefly describe its meaning for the table you are analyzing.
Bonus points: include a brief description of the results presented in the table. What can you say about the results? Are there any visible differences that are worth mentioning? Any patterns or trends? For example, is there an increase (or decrease) in the percentages as education increases (between men and women/as social class increases/between different racial groups) for your particular outcome?
Your choices for dependent variables are the following. Choose one. Remember that you’re analyzing how the dependent variable of your choice is associated with five different independent variables.
The General Social Survey (GSS) gathers data on contemporary American society in order to monitor and explain trends and constants in attitudes, behaviors, and attributes. It allows researchers to examine the structure and functioning of society in general as well as the role played by relevant subgroups and to compare the United States to other nations. The GSS contains a standard core of demographic, behavioral, and attitudinal questions, plus topics of special interest. The variables that I have selected for this assignment come from a special module on gender collected in 2012.
You will conduct the following web-based analysis using the Survey Documentation and Analysis (SDA) software to create contingency tables. For this assignment, you will choose a dependent variable (outcome) from the options listed below. You will generate four tables to explore your outcome with four different independent variables and determine if these associations are statistically significant.[1] For each table, I need to see the following:
- The null and research hypotheses, clearly stating the variables that you are testing. No x, no y, no general or vague statements.
- The contingency table that you will copy and paste on your assignment.
- The value of the chi-square test which will be part of the output generated by the software and that you will copy and paste on your assignment.
- Your decision regarding the null hypothesis and how you reached that decision. For the decision, you can either use a chi-square table or the chi-square calculator from the Online Statistics Education textbook.
- Once you reject or fail to reject the null in the previous step, briefly describe its meaning for the table you are analyzing.
Bonus points: include a brief description of the results presented in the table. What can you say about the results? Are there any visible differences that are worth mentioning? Any patterns or trends? For example, is there an increase (or decrease) in the percentages as education increases (between men and women/as social class increases/between different racial groups) for your particular outcome?
Your choices for dependent variables are the following. Choose one. Remember that you’re analyzing how the dependent variable of your choice is associated with five different independent variables.
