POLITICAL SCIENCE 30 POLITICAL INQUIRY HOMEWORK PROJECT 3

5 ANNEX C THE SECRETARIAT FOR POLITICAL
1 THE ENGLISH POLITICAL DOMINATION OF IRELAND HAS LEFT
10 AP HUMAN GEOGRAPHY CHAPTER 8 POLITICAL GEOGRAPHY 1

135 Siebeneichner Proletarian Myth and Political Mobilization Proletarian
15 BOSNIAN ISLAM SINCE 1990 CULTURAL IDENTITY OR POLITICAL
15 POLITICAL SCIENCE 106MO THE INTERNATIONAL POLITICAL ECONOMY OF

PS 30 Assignment 4

Political Science 30, Political Inquiry, Homework Project #3


Due Date: Wednesday, May 18th. Beginning of Class

 

Part A. Tests of Significance

#1. A survey organization recently conducted a random sample of 1000 individuals from the population of American adults. The survey assessed the relationship between religiosity and partisanship. It asked the individuals whether religion is an important part of your life,” and asked them if they think of themselves as Democrats, Republicans, or Independents. The results were as follows:

Partisanship

Religion Not Important

Religion Important

Total

Democrat

130

220

350

Independent

85

255

340

Republican

35

275

310

Total

250

750

1000

a. Construct a 99.7% confidence interval for the proportion of American adults who claim that religion is important to them. Show your work and tell us what your results suggest about the overall population of all American adults.

b. Use a difference in proportions test to assess whether one can be 95% confident that the proportion of religious Americans who are Democrats differs from the proportion of religious Americans who are Independents. [By religious Americans, I mean those who responded that religion was important to them] Show your work, specify what the null hypothesis is, and say whether or not you can reject the null hypothesis with 95% confidence.

c. Perform a chi-square test to assess whether the relationship between religiosity and partisanship is statistically significant. Show your work. Specify what the null hypothesis is, what the chi-square statistic is, and whether or not you can reject the null hypothesis with 95% confidence.

Part B. Initial Test for Your Data Project

#2. You are going to begin to explore the relationships between one of the independent variables in your hypothesis and your dependent variable, but we’ll wait until the final homework to ask you to conduct tests of statistical significance.

  1. Restate the hypothesis that you proposed in the first homework. Then state the null hypothesis.


  1. Using only one of your independent variables, use SPSS to produce a graph of the bivariate relationship between this independent variable and your dependent variable. If the independent variable is an interval or ratio variable, you can produce a scatterplot (Click on the “Graphs” pulldown menu, then select “Scatter,” and then “Define.” Pull one independent variable into the x-axis box, and then pull your dependent variable into the y-axis box). If the independent variable is a nominal or ordinal variable, you can produce a bar chart that reports proportions or mean or median values of the dependent variable for cases that take on different levels of the independent variable (just like with ethnicity and turnout in class). Print out the graph, and describe the relationship that you see. Do they appear to be correlated? Is the correlation negative or positive?


  1. Think of a possible confounding variable or an intervening variable that is included in the dataset that you are using (i.e. make sure it appears in the list of variables for that dataset in the SPSS manual). Later, you will explore whether it really is a confound or an intervening variable, but for now just make an argument that it might fit the definition of one of these sorts of variables, going through all three criteria for a confound or explaining why it is an intervening variable.


Below are the new SPSS hints:


If you have a nominal or ordinal independent variable:

While you are viewing the dataset, go up to the “Graphs” pull down menu, then select “Legacy Dialogs,” then select “Bar,” and double click on “Simple.” When the dialog box opens up, pick your independent variable from the list of variables on the left, and place it into the “Category Axis” box. Then go to “Bars Represent,” and click the button for “Other Statistic (e.g., mean), and put in your dependent variable. Click “OK” at the bottom, and you will have a bar graph where each bar is the mean value that your dependent variable takes on for a given value of the independent variable.


If you have an interval or ratio independent variable:

While you are viewing the dataset, go up to the “Graphs” pull down menu, then select “Legacy Dialogs,” then select “Scatter/Dot,” click on “Simple Scatter,” then select “Define.” When the dialog box opens up, pick your independent variable from the list of variables on the left, and place it into the “X Axis” box, and put your dependent variable into the “Y Axis” box. Then click “OK.”


 



17 Neutrality and Political Liberalism Richard j Arneson for
19 HOW DELIBERATION FEELS1 SHARON KRAUSE DEPARTMENT OF POLITICAL
2 CITY OF TORONTO POLICY ON POLITICAL ACTIVITIES


Tags: political science, political, inquiry, homework, project, science