PK yQ.> imsmanifest.xml
IMS Content
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Political Science Laboratory
OCW Master Course Number
17.871
Spring 2012
OCW_LOMv1.0
Author
Stewart III, Charles
2020-12-28
OCW Course Topics
Mathematics
Probability and Statistics
OCW Course Topics
Social Science
Political Science
contents/index.htm.xml
Political Science Laboratory
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Political Science Laboratory
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17-871s12.jpg
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17-871s12-th.jpg
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Related Resources
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Calendar
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Tools
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18.871 Political Science Laboratory: How To Use the STATA infile and infix Commands
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18.871 Political Science Laboratory: STATA Handout
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18.871 Political Science Laboratory: How To Use the STATA Merge and Reshape Commands
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MIT17_871S12_STATAExerci.zip
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Lecture Slides
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17.871 Political Science Lab Lecture Slides: Sampling And Inference
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17.871 Political Science Lab Lecture Slides: Multiple Regression
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17.871 Political Science Lab Lecture Slides: Race and Voting in Florida
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17.871 Political Science Lab Lecture Slides: Introduction to STATA
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17.871 Political Science Lab Lecture Slides: Descriptive Stats
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17.871 Political Science Lab Lecture Slides: Bivariate Relationships
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Readings
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Assignments
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17.871 Political Science Laboratory: Group Project Comments
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17.871 Political Science Laboratory: Group Projects Assignment
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17.871 Political Science Laboratory: Hard-nosed Empiricist Assignment
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17.871 Political Science Laboratory: Introduction Assignment
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17.871 Political Science Laboratory: Final Project Assignment
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17.871 Political Science Laboratory: Group Projects-Further Guidance
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Syllabus
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Legal Notices
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Privacy Statement
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Trademark Notices
contents/assignments/MIT17_871S12_GrpGuidance.pdf.xml
contents/17-871s12.jpg.xml
contents/calendar/index.htm.xml
contents/assignments/MIT17_871S12_Group.pdf.xml
contents/lecture-slides/MIT17_871S12_racndvotg_flo.pdf.xml
contents/assignments/index.htm.xml
contents/lecture-slides/MIT17_871S12_bivarat_reg12.pdf.xml
contents/assignments/MIT17_871S12_GnrlCom.pdf.xml
contents/tools/MIT17_871S12_STATInfilefix.pdf.xml
contents/tools/MIT17_871S12_STATAMerge.pdf.xml
contents/tools/MIT17_871S12_STATAExerci.zip.xml
contents/lecture-slides/MIT17_871S12_sam_and_inf12.pdf.xml
contents/syllabus/index.htm.xml
contents/readings/index.htm.xml
contents/tools/index.htm.xml
contents/lecture-slides/MIT17_871S12_dscrp_stats12.pdf.xml
contents/lecture-slides/index.htm.xml
contents/assignments/MIT17_871S12_Final.pdf.xml
contents/lecture-slides/MIT17_871S12_mulreg_12ver2.pdf.xml
contents/index.htm.xml
contents/related-resources/index.htm.xml
contents/assignments/MIT17_871S12_Intro.pdf.xml
contents/assignments/MIT17_871S12_Hard-nosed.pdf.xml
contents/lecture-slides/MIT17_871S12_01IntrotoStat.pdf.xml
contents/tools/MIT17_871S12_STATAHandou.pdf.xml
contents/17-871s12-th.jpg.xml
PK Q~3! 17-871-spring-2012/ReadMe.txtThis zip package contains the HTML pages and files associated with the course.
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If you have any trouble using this package, please contact us at ocw@mit.edu .PK Q%aD6 6 17-871-spring-2012/START.htm
MIT OpenCourseWare | Welcome
Welcome to MIT Open Course Ware. You will be automatically redirected to Home. If you aren not forwarded to the new page, Click here to access the home page of the downloaded Click Here
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* 0 17-871-spring-2012/contents/17-871s12-th.jpg.xml
17-871s12-th.jpg
Let us say we drew a sample of 1,500 adults and asked them if they approved of the way Barack Obama was handling his job as president. Can we estimate the percentage of all American adults who approve? Image by Christopher Dilts on flickr.
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This site (c) Massachusetts Institute of Technology 2020. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.
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OCW Master Course Number
17.871 Political Science Laboratory Spring 2012
This course introduces students to the conduct of political research using quantitative methodologies. The methods are examined in the context of specific political research activities like public opinion surveys, voting behavior, Congressional behavior, comparisons of political processes in different countries, and the evaluation of public policies. Students participate in joint class projects and conduct individual projects.
CIP
270501
Political science
quantitative tools
research
statistics
social science
empirical questions
STATA
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