COURSE OUTLINE AND READING LIST FOR POLI 443; APPLIED POLITICAL RESEARCH , FIRST SEMESTER 2019/2020 ACADEMIC YEAR.

                                                    DEPARTMENT OF POLITICAL SCIENCE

                                          UNIVERSITY OF GHANA

Instructor:      Prof. A. Essuman-Johnson

Course Code:   POLI 443                                  Course Title:    Applied Political Research Semester:             1st (August) 2019

Class Hours:     9:30 – 11:20 Mon Group A JQB 23

11:30- 13:20 Wed Group B JQB 23                 Email:  essumanj@ug.edu.gh

           

Course Description

The course seeks to provide students with the statistical skills that enable them to analyze data for political analysis. The broad topics to be treated in the course of the semester would include (i) Descriptive statistics for univariate data analysis (ii) Measuring relationships, Testing Hypothesis and (iii) Bivariate and Multivariate data analysis. Students are required to have passed POLI 344.

Texts

The required texts for this course include the following:

1.         Murray R. Spiegel (1972) Theory and Problems of Statistics (Schaum’s Outline Series) New York, McGraw Hill.

2.        Janet B Johnson & Richard A, Joslyn (1986) Political Science Research Methods, Congressional Quarterly Press, Washington.

Requirements and Grading

Students are expected to do all class assignments and hand them in for grading at the time to be stated at the time the assignment is handed out. The course would be examined 100% at the end of the semester.

Week 1 August 19 & 21

Introduction: Review basic knowledge of linear correlation analysis and interpretation of the correlation coefficient.

Week 2 August 26 & 28

Measuring relationships: Bivariate Data Analysis: Cross tabulations.

Week 3 Sept 2 & 4

Contd. Measuring relationships: Bivariate Data Analysis: Cross tabulations.

Week 4 Sept 9 & 11

Test of Hypothesis: The Chi–Square Test

Week 5 Sept 16 & 18

Test of Hypothesis: The Chi –Square Test  Contd.

 

Week 6 Sept 23 & 25

Bivariate Data Analysis: Correlation and regression analysis.

Week 7 Sept 30 & 2 Oct

Contd. Correlation and regression analysis.

Week 8 Oct. 7 & 9

Difference of Means Test and Analysis of Variance (ANOVA)

Week 9 Oct. 14 & 16

Contd. Difference of Means Test and Analysis of Variance (ANOVA)

 

Week 10 Oct. 21 & 23

Multivariate Data Analysis: Multiple Regression Analysis

Week 11 Oct. 28 & 30

Contd. Multivariate Data Analysis: Multiple Regression Analysis

Week 12  Nov. 4 & 6

Multivariate Crosstab Data Analysis

Week 13 Nov. 11 & 13

Contd. Multivariate Crosstab Data Analysis.

Teaching ends.

Week 14 Nov. 18 & 20

Revision week

Week 15 Monday Nov 25

End of semester exams.