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Part i
Conceptually define success for S.N.A.P., Affordable Care Act, and D.A.R.E.
Based on the conceptual definition then operationally define success for each of the above programs and provide appropriate variables/measures
Please note that operationally defined success refers to the mission (just as the conceptually definition) not the organization, itself. For example if success is defined as ensuring that children are properly immunized (conceptual definition), then you would not describe the operations of the program (if there were one) but rather define the conceptual definition as something measurable--the number of children that are vaccinated (or not vaccinated)--an operational definition. These would also be the appropriate measures.
HELP INFORMATION
Take a different program--a tougher one
Definition of success (conceptually): Prevention of terrorist attacks on US soil
Operational definition of success that could mean how many terrorist attacks on US soil. It could also mean, how many attacks were thwarted. Both of those are quantifiable variables: the number of attacks on US soil and the number of thwarted attacks on US soil..
That is all that you needed to do. No need for any other commentary, background, etc. You are not writing term papers, so all this other information is unnecessary at least, given how the assignment is written.
Part 2
1) Using the GSS2014 data, examine the relationship between attitudes toward the level of national assistance for childcare (NATCHILD) and the sex of the respondent (SEX). Fill in the following information:
Make a prediction
What percent of Americans believe we spend too little for childcare? ________________
Do you think men and women vary on their perspectives on this issue?
YES NO
Now perform the analysis with PSPP and find:
Percentage of men (of only men) stating the current level is too little ________________________
Percentage of women (of only women) stating the current level is too little ________________________
Chi Square significance level ________________________
Is the relationship statistically significant YES NO
How would interpret this result? In other words, what might explain why there is or is not a difference between the two groups (male and female). Do not just restate the statistics without any interpretation.
2) Using the GSS2014 data, examine the relationship between race (RACE) and whether a person supports the death penalty for murder (CAPPUN). Fill in the following information:
Make a prediction
What percent of Americans support the death penalty? __________
Do you think Whites and Blacks vary on their perspectives on this issue? YES NO
Now perform the analysis with PSPP and find:
Percentage of whites (and only whites) opposed ________________________
Percentage of African Americans (and only African Americas) opposed ________________________
Percent of Others (and only others) opposed ________________________
Chi Square significance level ________________________
Is the relationship statistically significant YES NO
How would interpret this result? In other words, what might explain why there is or is not a difference between the groups. Do not just restate the statistics without any interpretation.
3) Using the GSS2014 data, examine the relationship between race (RACE) and the belief that Whites are hurt by affirmative action (DISCAFF). Fill in the following information:
Make a prediction
What percent of Americans believe whites are hurt by affirmative action? ___________
Do you think Whites and Blacks vary on their perspectives on this issue? YES NO
Now perform the analysis with PSPP and find:
Percentage of Whites (and only whites) saying either “Somewhat Likely” or “Very Likely” (total)______________________
Percentage of Blacks (and only Blacks) saying “Somewhat Likely” or “Very Likely” (total) ______________________
Percentage of others (and only others) saying “Somewhat Likely” or “Very Likely” (total) ______________________
Chi Square significance level _______________________
Is the relationship statistically significant YES NO
How would interpret this result? In other words, what might explain why there is or is not a difference between the groups. Do not just restate the statistics without any interpretation.
4) Using the GSS2014 data, examine the relationship between general happiness (HAPPY) and marital status (MARITAL). Fill in the following information:
Make a prediction
What percent of Americans are “very happy”? ________________
Who is the happiest? People who are (underline one):
Married Divorced Never married
Now perform the analysis with PSPP and find:
Percentage of married individuals (and only married people) who are “very happy” ________________________
Percentage of divorced individuals (and only divorced people) who are “very happy” ________________________
Percentage of never married individuals (and only never married people) who are “very happy” ________________________
Chi Square significance level ________________________
Is the relationship statistically significant YES NO
How would interpret this result? In other words, what might explain why there is or is not a difference between the groups. Do not just restate the statistics without any interpretation.
AND
5) Is there a relationship between a person’s age (AGE) and the number of hours spent per day watching TV (TVHOURS)? Use the GSS2014 data to test this relationship.
Make a prediction:
What is the mean number of hours people spend watching television? _________
Would expect the correlation between age and television viewing to be
Negative Nonexistent Positive
Now perform the analysis with PSPP and find:
Correlation __________________
Significance Level __________________
Is the relationship statistically significant? Yes No
Do people tend to watch more or less TV as they age More Less
How would you explain these findings?
6) Using the STATES10 data, perform a test to see if there is a relationship between the percent of the population that graduated high school (EDS131) and median earnings of male full-time workers (EMS168) in the state.
Summarize and interpret your findings below:
Correlation __________________
Significance Level __________________
Is the relationship statistically significant? Yes No
How to do the Scatterplot!
File
New
Syntax
The syntax editor will open, then type [do not type anything in read, they are commands]
Graph [enter]
/Scatterplot = var1 with var2 [go to tool ribbon “File Edit Run Windows Help” and click on run and then all. Check you output and you should have a nice scatterplot. Var1 and var2 are the variables being used for the scatter plots. Just type in the variable name as written in the assignment.]
Scatterplot
How would you explain these findings?
How does the percent graduated (EDS131) relate to the median earnings of female full-time workers (EMS169)? Is the relationship the same as for male workers (EMS168)?
Summarize and interpret your findings below
Correlation __________________
Significance Level __________________
Is the relationship statistically significant? Yes No
Scatterplot
How would you explain these findings?
7) Is there a relationship between the average salary of classroom teachers (EDS125) and the percent of the population that has graduated high school (EDS131). Use the STATES10 data to test this relationship. Summarize and interpret your findings below:
Now perform the analysis with PSPP and find:
Correlation __________________
Significance Level __________________
Is the relationship statistically significant? Yes No
Scatterplot
How would you explain these findings?
8) Pose a hypothesis between any two SCALE variables in either the STATES10, GSS2014, or HSP data sets.
State the hypothesis:
Summarize and interpret your findings below:
Now perform the analysis with PSPP and find:
Correlation __________________
Significance Level __________________
Is the relationship statistically significant? Yes No
Scatterplot
How would you explain these findings?

Part i
Conceptually define success for S.N.A.P., Affordable Care Act, and D.A.R.E.
Based on the conceptual definition then operationally define success for each of the above programs and provide appropriate variables/measures
Please note that operationally defined success refers to the mission (just as the conceptually definition) not the organization, itself.

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