Chat with us, powered by LiveChat You will report the information listed below for both the GSS 2012 & GSS 2018 data sets:?Examine the relationship between attitudes toward the level of national assistance for childcar - Essayabode

You will report the information listed below for both the GSS 2012 & GSS 2018 data sets:?Examine the relationship between attitudes toward the level of national assistance for childcar

 

1) You will report the information listed below for both the GSS 2012 & GSS 2018 data sets: 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 and report the requested information  (Use a cross tab and remember the chi square is to determine if there is a significant difference in the percentages between group/categories that could not be credited to chance:                      

         2012/2018

Percentage of men (out of only men) stating the current level is too little ___________/_____________

Percentage of women  (out of only women) stating the current level is too little _________/_______________

Chi Square significance level __________/______________

Make sure you are reporting the level of significance (NOT the chi-square score) as stated in the PSPP output.

Is the relationship statistically significant YES NO (2012)/YES  NO (2018)

A) How would you interpret this result beyond just reference to the level of significance?  (what do the findings suggest?  Interpret).  Do not just restate the statistics without any interpretation, and include mention of the 2008 findings in your discussion. Be sure to expand on the findings reported and do not include anything about missing data)

2) You will report the information listed below for the GSS 2018 data sets:

You will report the information listed below for the GSS 2018 data sets: Examine the relationship between race (RACE) and whether a person supports the death penalty for murder (CAPPUN), whether one ever approves of police striking a citizen (POLHITOK), and the belief that Whites are hurt by affirmative action (DISCAFF). 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 (CAPPUN)? YES NO

Do you think Whites and Blacks vary on their perspectives on this issue (POLHITOK)? YES NO

Now perform the analysis and find:

A) CAPPUN BY RACE

Percentage of whites (out of only whites) that disapprove:________________________

Percentage of African Americans (out of only African Americans) that disapprove  ________________________

Percent of Others (out of only Others) that disapprove ________________________

Chi Square significance level ________________________ 

Is the relationship statistically significant?

B) POLHITOK BY RACE

Percentage of whites (out of only whites) that say no:________________________

Percentage of African Americans (out of only African Americans) that say no ________________________

Percent of Others (out of only Others) that say no ________________________

Chi Square significance level ________________________

Is the relationship statistically significant? 

C)  DISCAFF BY RACE

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 and find:

Percentage of Whites (out of only whites) saying “Somewhat likely” ______________________

Percentage of Blacks (out of only African Americans) saying “Somewhat likely”  ______________________

Percentage of others (out of only Others) saying “Somewhat likely”  ______________________­­­­­

Chi Square significance level _______________________

Report the level of significance (NOT the chi-square score) as stated in the PSPP output.

Is the relationship statistically significant YES NO

A) How would you interpret this result beyond just reference to the level of significance?  Do not just restate the statistics without any interpretation.  What do you observe in the findings- (beyond what is asked for above)-patterns? Be specific.

3) You will report the information listed below for the GSS 2018 data sets: Examine the relationship between general happiness (HAPPY) and marital status (MAR1). 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 and find:

Percentage of married individuals (out of only married people) who are “very happy” ________________________

Percentage of divorced individuals (out of only divorced people) who are “very happy” ________________________

Percentage of never married individuals (out of only never married people) who are “very happy” ________________________

Chi Square significance level ________________________

Report the level of significance (NOT the chi-square score) as stated in the SPSS/PSPP output.

Is the relationship statistically significant YES NO

A) How would you interpret this result without just reference to the level of significance?  Do not just restate the statistics without any interpretation. What do you observe in the findings- (beyond what is asked for above)-patterns? be specific?

4).  In the absence of performing an analysis, make a prediction: What percent of Americans view their health as either “excellent”, “good”, “fair” and “poor”?  Then use the GSS2018 data, run a frequency on HEALTH, and also create a pie chart.  Describe your findings below and explain the extent to which your predictions conformed to the findings.  What do these findings suggest about health in America?  Exclude missing cases.                  

Predicted Percent      

Excellent                      ___________                 

Good                           ___________                    

Fair                              ___________                    

Poor                            ___________

How close were your predictions?  If they differed, what do you think was the reason? 

Valid Percent      

Excellent                      ___________                 

Good                           ___________                    

Fair                              ___________                    

Poor                            ___________

Provide a PIE CHART and a BAR GRAPH:

What do these findings suggest about the state of health in America?  Policy implications given perceptions versus the reality of health in America? 

5)  Using the GSS 2018 data, examine the relationship between sex (SEX) and the belief that a woman will not get a job or promotion over a man (DISCAFFW).

Fill in the following information: 
Make a prediction

What percent of Americans believe women are less likely to get a job or promoted over a man:

                                                                                                                        ___________

Do you think males and females vary on their perspectives on this issue?                          YES    NO

Now perform the analysis and find:

Percentage of men (out of only men) saying “Very Likely”                             _____________

Percentage of women (out of only women) saying “Very Likely”                        ___________

Chi Square significance level                                                                                       __________________

Is the relationship statistically significant              YES     NO

A) How would you interpret this result without just reference to the level of significance?  Do not just restate the statistics without any interpretation.  What do you observe in the findings- (beyond what is asked for above)-patterns? Compare with the 2012 findings from the discussion. Be specific.

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