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Fall, 2000 Syllabus: Course Outline by Topics |
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I. QUANTITATIVE ANALYSIS IN POLITICAL RESEARCH |
Sept.21: Sept.22: |
Inspirational Message: Why You Should Take Statistics |
II. USING COMPUTERS IN QUANTITATIVE ANALYSIS
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Sept.26: Sept.27: Sept.28: Sept.29: Oct.2: |
Learning How to Log into hardin Recording Data in Machine-Readable Form Optional session on computing facilities |
III. DESCRIBING A SINGLE VARIABLE: UNIVARIATE STATISTICS |
Oct.5: Oct.6: |
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IV. MEASURING RELATIONSHIPS BETWEEN TWO CONTINUOUS VARIABLES |
Oct.10: Oct.11: Oct.12: Oct.13: Oct.16: Oct.17: |
The Product-Moment Correlation Interpreting the Correlation Coefficient Optional session: review for 1/3 exam Linear Regression Linear Regression in Research 1/3 EXAMINATION Discussion of examination results |
V. STATISTICAL INFERENCE: ELEMENTARY PROBABILITY & SAMPLING THEORY
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Oct.20 Oct.23 Oct.24 |
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VI. TESTING
HYPOTHESES: |
Oct.27: Oct.30: |
Hypothesis Tests of Sample Statistics One-Tailed and Two-Tailed Tests Significance Tests for Correlation Coefficients |
VII. TESTING HYPOTHESES: ONE NOMINAL AND ONE INTERVAL VARIABLE |
Nov.2: Nov.3: Nov.6: Nov.7: Nov: 9 |
Difference of Means Test: Two Samples The T-Test in Political Research One-Way Analysis of Variance One-Way Analysis of Variance in Research 2/3 EXAMINATION Discussion of examination results and research papers |
VIII. MODELING RELATIONSHIPS AMONG MULTIPLE VARIABLES |
Nov.13: Nov.16: Nov.17: |
Multiple Regression More on Multiple Regression Multiple Regression in Research -- Research progress reports due! R2 v. Eta2: Multiple Regression v.
Analysis of Variance |
IX. TESTING AND MEASURING RELATIONS BETWEEN DISCRETE VARIABLES
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Nov.21: Nov.22:
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Contingency Tables and the X2 Test of Independence Measures of Association for Nominal and Ordinal Data (Take Your Pick) Controlling for Confounding Variables in Contingency Tables RESEARCH PAPERS DUE (1st Chance) |
X. REVIEW FOR FINAL EXAMINATION
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Nov.28:
Dec.4: |
Review -- Theory, Measurement, and Univariate Statistics Review -- Statistical Inference and Hypothesis
Testing Review -- Bivariate Distributions: Strength,
Form, Significance Review -- Multivariate Analysis Final Examination 3:00 to 5:00 pm |