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Finding Data for Quantitative Analysis Lecture 11.

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Presentation on theme: "Finding Data for Quantitative Analysis Lecture 11."— Presentation transcript:

1 Finding Data for Quantitative Analysis Lecture 11

2 2 Agenda Discussion of Assignment 2 Using Bivariate Statistics Using Bivariate Statistics Some Further Discussion of Linear Regression Using STATA Finding Data for Quantitative Analysis Final Projects

3 3 Assignment Two Effect size versus significance Bivariate statistics in survey data analysis Chi-square goodness-of-fit versus chi-square test of independence Pay close attention to variable coding before interpreting

4 4 More Linear Regression Using categorical variables “Nested” models and F-change statistics

5 5 Finding Data for Quantitative Analysis Berkeley Survey Research Center http://srcweb.berkeley.edu/ http://srcweb.berkeley.edu/ http://srcweb.berkeley.edu/ UC Data (access to ICPSR) http://ucdata.berkeley.edu http://ucdata.berkeley.edu http://ucdata.berkeley.edu

6 6 Final Projects Group size 2-3 students 10 minute presentation which includes: Description of your research interests Description of your research interests Includes your ‘hypotheses’ or expected relationships. Only restriction is that you need to use at least 3 different types of statistical tests. Description of your dataset Description of your dataset E.g., how was it collected? Sample size? Other special issues? Results Results Support or not support your hypotheses? Conclusion Conclusion The final ‘paper’ will follow the same general outline No page limit, but recommended length is ~ 5 pages. No page limit, but recommended length is ~ 5 pages.


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