Course Overview

This course will focus on research design and applied qualitative and quantitative analysis for public and nonprofit administration, policy, and management. In this course, students will develop a conceptual and practical understanding of research and analytic methods, as well as gain fundamental skills for literature review, qualitative and quantitative data collection and management, and statistical analysis including univariate, bivariate, and multivariate analysis.

Syllabus 2020 Spring 2020 Fall

 

Text

Frankfort-Nachmias, Chava, and Anna Leon-Guerrero. 2017. Social Statistics for a Diverse Society (8th ed.). Sage Publications. (Previous editions and e-books are fine)

 

Software

Students will need to use at least one statistical software, including Excel, R, STATA, SPSS, and/or Python. Students can complete all the assignments using any of the software. Needed materials and technical support for any of the software listed here will be provided by the instructor. It is completely up to the students to decide which one to use. However, depending on students’ interests and the types of final projects, I may recommend students use other software other than Excel. For example, if (1) you are interested in using more than a single dataset, (2) your analysis includes categorical dependent variable and more than one independent variable, or (3) you are comparing means of more than two groups, other software will be preferable because Excel is not suited for these types of analyses.

Course Schedule

M Topic
1 Introduction to research design
2 Sampling and measurement
3 Descriptive statistics and central tendency
4 Data cleaning and management
5 The measure of variability and normal distribution
6 Sampling distribution and estimation
7 Hypothesis testing / t-test and z-test
8 Writing a research paper
9 Bivariate tables and chi-square test
10 ANOVA
11 Linear regression
12 Logistic regression
13 Introduction to panel data analysis
14 Qualitative research design
15 Qualitative data collection
16 Case Studies
17 Research poster presentation