Paper VII: Data Analysis with Computer Software
Course Code: RDS 762 Credit Hours: 3
Semester: Second Teaching Hours: 48
Level: Doctor of Philosophy (PhD)
This course is among the cross-cutting courses for PhD students to expand their academic and practical comprehension of both quantitative and qualitative paradigms. The SPSS/STATA/R and ATLAS.ti among others are the major computer software for the interpretation of quantitative and qualitative data respectively. The objective of this course is to make students familiar with the applied tools and methods with computer software in Rural Development.
Course Outlines LH
Unit I: Introduction to Data Entry and Data Analysis Software 12
- EPI Info/CsPro
Unit II: Basic Quantitative Data Analysis 15
- Descriptive Statistics
- Pearson’s r, Chi-square, T-test and ANOVA
- Linear Regression
- Logistic, Ordered and Multinomial
- Time Series Analysis
Unit III: Advanced Quantitative Data Analysis 15
- Component Analysis
- Factor Analysis
- Factor Analysis for Binary Data
- Factor Analysis for Ordered Categorical Variables
Unit IV: Qualitative Data Analysis with Computer Software (ATLAS.ti) 6
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Nachmais, C. F. & D, Nachmais (1996). Research methods in the social sciences. New York: St. Martin Press.
Lewins, A. & C. Silver (2007). Using software in qualitative research: A Step-by-Step Guide (Second edition). India: SAGE Publications Ltd.
Trochim, William M. (2003). Research methods knowledge base. New York: Atomic Dog Publishing.