Years of Education & Number of Hours Watching Television Worksheet

Description

I will attach the instructions below, please follow the instructions and the rubric carefully. You will need SPSS to finish this assignment. Please give it to me in docs format.

This link will have all files that you need to finish this assignment. https://drive.google.com/drive/folders/1gr3-5m3SVY…

SUMMARY • Your sample of “local” data will consist of University of South Florida students. Use the local.sav file. • You will use General Social Survey (GSS) data as your “national” data. Use the full GSS file (gss2016.sav), since it contains the most variables that may be of use to you and includes all cases. • You will use International Social Survey Programme (ISSP) data as your “global” data. Use the issp2016.sav file. • IMPORTANT: For this project, you are analyzing data at three different scales, and it is possible your variables will not match exactly. Just use your best judgement and knowledge of the material to match your variables as best you can in your written analysis. For example, your local sample might measure “year in college”, while your GSS national sample measures both “years of education” and “degree”, and your global data might measure “proportion of population that graduates high school.” Each of these three measures is constructed differently, but you can still make insightful comparisons nonetheless. REQUIREMENTS Identify (and write out) at least one research question.

These research questions should guide the theme of your focus and analyses. (For example, is there a relationship between gender and education? Is there an association between social class and health outcomes?) Choose six variables. Two from the local.sav data file, two from the gss2016.sav file, and two from the issp2016.sav file. Run three sets of bivariate analyses. First, you will run a bivariate statistical test from your local sample. Selection of the appropriate test will depend on how your variables are measured. Next, you will then run a “comparable” bivariate test on the GSS national-level data. Finally, you will run one more bivariate test on two variables from the issp2016.sav file. • NOTE: Your choice of bivariate test (crosstabs with chi-square, correlation with scatterplot and regression, independent samples t-test, ANOVA with Tukey post-hoc test) might not be the same for your local, national, and global variables.

The most appropriate type of test depends on the specific characteristics (i.e. level of measurement) of the variables you choose to analyze. Be sure to save your SPSS output from your analyses. Copy and paste all relevant output into your document. “Show your work” for each test. Summarize and interpret your findings for each SPSS test. For example, if you calculated crosstabulations, did there appear to be noteworthy differences in the dependent variable across the categories of the independent variable? Did these differences hold up in your analysis of both samples? If there were differences between the samples, what might account for this? If the crosstabs for both samples seemed to show the same relationship, what does this mean? What did your chi-square test of significance show?

For t-tests, what was the mean difference between the two groups? Was the difference in means between the two groups you’re comparing statistically significant? If you analyzed a correlation, is the correlation weak, moderate, or strong? What percentage of the variation in each variable can be explained through their association together? • The results of each test should be summarized in at least 4-6 sentences. Compare and contrast your findings on the local, national, and global scales. This should be in paragraph, narrative form. This section is intentionally less structured because your projects will vary quite a bit. Questions to consider in your written analysis include: What patterns and similarities can we observe for your variables across local, national, and global data? What differences do you see? Why do you think we are seeing these patterns? Are there any social science perspectives, theories, or research that might help explain your findings? • This last interpretive section should be (at minimum) a long, full paragraph. Assessment and Rubric:

• Development of Research Question(s): 5 POINTS • SPSS Bivariate Test 1 (Selection of Appropriate Test, Output): 20 POINTS • SPSS Bivariate Test 2 (Selection of Appropriate Test, Output): 20 POINTS • SPSS Bivariate Test 3 (Selection of Appropriate Test, Output): 20 POINTS • Summary and Interpretation of Bivariate Tests: 25 POINTS • Compare and Contrast Findings Across Local, National, Global Scales: 10 POINTS Research Question 2 Variables (local.sav) 2 Variables (gss2016.sav) 2 Variables (issp2016.sav) Bivariate Analysis 1 (Output) Bivariate Analysis 2 (Output) Bivariate Analysis 3 (Output) Bivariate Summary 1 Bivariate Summary 2 Bivariate Summary 3 Compare and Contrast Findings Criteria Ratings Pts Development of Research Question(s) Questions that introduce and guide your analyses. 5 pts Full Marks Research question(s) introduce topic and guide subsequent analyses. 2.5 pts Half Marks Research Question(s) are unclear or do not address topic, or an introduction is provided without research questions.

O pts No Marks No research question(s) or introduction provided. 5 pts 10 pts O pts SPSS Bivariate Test 1 Selec.tion of Appropriate Test, Inclusion of All Relevant Output 20 pts Full Marks Appropriate Bivariate Test, All Output Included Half Marks Appropriate Test, however, relevant Output is missing -OR- Inappropriate Test, however, all relevant Output present No Marks No Bivariate Test for “local” data 20 pts SPSS Bivariate Test 2 Selection of Appropriate Test, Inclusion of All Relevant Output 20 pts Full Marks Appropriate Bivariate Test, All Output Included 10 pts Half Marks Appropriate Test, however, relevant Output is missing -OR- Inappropriate Test, however, all relevant Output present O pts No Marks No Bivariate Test for “national” data 20 pts SPSS Bivariate

Test 3 Selection of Appropriate Test, Inclusion of All Relevant Output O pts No Marks 20 pts Full Marks Appropriate Bivariate Test, All Output Included 10 pts Half Marks Appropriate Test, however, relevant Output is missing -OR- Inappropriate Test, however, all relevant Output present 20 pts No Bivariate Test for “global” data Summary/Interpretation of Bivariate Tests Summarize and Interpret your findings for each Bivariate Test in at least 4-6 sentences. 25 pts Full Marks All Bivariate Tests Summarized and Interpreted correctly and clearly 20 pts Successful Summaries Summaries of Bivariate Tests are correct, but interpretation is somewhat unclear or needs some improvement 15 pts Mostly Correct Summaries Two summaries and interpretations are correct and clear, but one is severely lacking. 10 pts Partially Correct Summaries One summary and interpretation is correct and clear, but the other two are severely lacking 5 pts Problematic Summaries Summaries of Bivariate Tests are incorrect or incomplete, and interpretation is very unclear.

O pts No Marks No summary or interpretation of Bivariate Tests provided 25 pts Compare and Contrast Findings A long, full paragraph that compares your findings across all three data files, and attempts to explain those findings. 10 pts Full Marks Thoughtful comparison of findings across local, national, and global data files. Attempt to explain similarities or differences in findings. 5 pts Half Marks Comparison is cursory, does not include all three analyses, or is otherwise inadequate. O pts No Marks No comparison provided. 10 pts Total Points: 100

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