Paper VII: Data Analysis with Computer Software

Course Code: RDS 762                                        Credit Hours: 3

Semester: Second                                          Teaching Hours: 48

Level: Doctor of Philosophy (PhD)


Course Objectives

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

  1. EPI Info/CsPro

Unit II: Basic Quantitative Data Analysis                               15

  1. Descriptive Statistics
  2. Pearson’s r, Chi-square, T-test and ANOVA
  3. Linear Regression
  4. Logistic, Ordered and Multinomial
  5. Time Series Analysis

Unit III: Advanced Quantitative Data Analysis                          15   

  1. Component Analysis
  2. Factor Analysis
  3. Factor Analysis for Binary Data
  4. Factor Analysis for Ordered Categorical Variables

Unit IV: Qualitative Data Analysis with Computer Software (ATLAS.ti)  6


Bartholomew, D. J., F. Steele, I. Moustaki, & J. Galbraith (2008). Analysis of multivariate social science data (Second edition) UK: Chapman and Hall.

Dillion, W.R. & Goldstein, M. (1984). Multivariate Analysis. New York: John Wiley and Sons.

Kish, Leslie, (1995). Survey sampling. New York: John Wiley and Sons.

Kothari, C.R., (1985). Research methodology: Methods and techniques. New Delhi: Wiley Eastern Limited.

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.