Survey Data Analysis - Institute for Social and Environmental ...

Survey Data Analysis
November 22-26, 2011
Institute for Social and Environmental Research-Nepal
Fulbari, Chitwan, Nepal
Duration: 40 hours (5 days)
Pre-requisite: A minimum of Bachelors Degree with background of basic statistics. Computing knowledge is
necessary. Background in social science research will be an asset.
Objective
The goal of this workshop is to provide knowledge and skills on survey data analysis techniques including
intensive hands-on computer exercises using the commonly available analytical software, Statistical Package
for the Social Sciences (SPSS). Upon completion, the participants will:
1. Learn about survey data, data structure, data importation, and data management;
2. Have practical skills on survey data analysis techniques (univariate, bi-variate and multivariate
techniques) using SPSS; and
4. Learn interpret the results.
Course Description
This course focuses on various techniques commonly used for the analysis of survey data. First, this course
will focus on data structure, data importation and data management. Then, under data analysis techniques, we
will include univariate (data description and summarization), bi-variate (mean comparisons, chi-square and
correlation), and multivariate (linear and binary logistic regression) analysis techniques. Emphasis will be
given to choosing appropriate statistical tools for data analysis and interpretation of the results. SPSS,
statistical software to analyze social science data, will be extensively used. More importantly, this workshop
will focus on practical issues associated with choosing appropriate statistical tools, analysis of data, and
interpretation of the results with reference to scientific articles published in highly referred sociological and
population journals around the globe.
Resource Persons
Dr. Dirgha Ghimire, Associate Research Scientist, Population Studies Center, University of Michigan; Executive
Director, Institute for Social and Environmental Research-Nepal (ISER-N), Fulbari, Chitwan
Dr. Prem Bhandari, Assistant Research Scientist, Population Studies Center, University of Michigan
Mr. Binoj Shrestha, Research Associate, ISER-N, Fulbari, Chitwan
Mr. Bishnu Adhikari, Database Manager, ISER-N, Fulbari, Chitwan
Readings
Alford, Robert R. 1998. The Craft of Inquiry: Theories, Methods, Evidence. New York Oxford: Oxford University Press.
Bryman, Alan. 2009. Social Research Methods. Oxford, New York: Oxford University Press.
Babbie, Earl. 1990. Survey Research Methods. Belmont, California: Wadsworth Publishing Company, Inc.
DeMaris, Alfred. 1995. “A Tutorial in Logistic Regression.” Journal of Marriage and the Family, 57: 956-968.
Field, Andy. 2009. Discovering Statistics Using SPSS. Los Angeles, London, New Delhi, Singapore, Washington DC:
SAGE.
Fink, Arlene. 2009. How to Conduct Surveys: A Step by Step Guide. Los Angeles, London, New Delhi, Singapore,
Washington DC: Sage Publications.
Groves, Robert M., Floyd J. Fowler, Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, and Roger Tourangean.
2010. Survey Methodology. Hoboken, New Jersey: John Wiley and Sons, Inc.
Lewis-Beck, Michael S. 1995. Data Analysis: An Introduction. Thousand Oaks, London, New Delhi: Sage Publications.
Singleton, Royce A. Jr., and Bruce C. Straits. 2005. Approaches to Social Research. 4 th Edition. New York: Oxford
University Press.
SPSS User Guide. 2010. SPSS Inc.
Wenderoth, Peter. How to Write a Scientific Research Paper? Psychology. Macquaire University, Australia
(http://vision.psy.mq.edu.au/~peterw/MSsorter.PDF retrieved on November 6, 2011).

Survey Data Analysis
November 22-26, 2011
Institute for Social and Environmental Research-Nepal
Fulbari, Chitwan, Nepal
Day 1
Time
Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are
recommended)
07:30: 08:00
08:00-08:30
• Trainee arrive at ISER-N Campus in Fulbari, Chitwan
• Registration and Breakfast
-Krishna
-Krishna
08:30-10:00 • Welcome and Introductions
-Dirgha
Distribution of course
• Overview of the workshop
-Prem
outline/ course pack
• Introduction to ISER-N
-Dirgha
• Briefing on course pack
-Prem
10:00-10:15 Tea/Coffee
10:15-11:00 Survey research, survey lifecycle and survey errors -Dirgha -Groves et al. (Ch. 2; Pp. 39-65 -Fink (Pp. 1-12)
-Babbie (Ch. 4, Pp. 51-64)
11:00-12:00 An introduction to large scale surveys in Nepal
• Census
• Nepal Demographic Health Surveys (DHS)
• Nepal Living Standard Survey (NLSS)
• Nepal Labor Force Survey (NLFS)
• Others (Nepal Adolescent and Young Adult (NAYA)
Survey)
12:00-13:00 Lunch
-Dirgha/Prem

Day 1……
Time
Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are
recommended)
13:00-14:00 • Chitwan Valley Family Study (CVFS)
-Dirgha/Prem
Overview of study design and objectives
The research programs
Overview of community, household, individual,
and environmental (flora and land use) data
14:00-15:00 Introduce CVFS data CD and codebook -Prem/Bishnu Discuss at least one in
detail
15:00-15:15 Tea/Coffee
15:15-16:45 Discussion on research question
• The research process and research question
• Discuss possible research questions (that can be
answered using cross sectional vs. longitudinal data)
Exercise: Discuss one or two examples of research
questions from published papers
Exercise
Ask participants to identify a research question of interest
that can be answered by using any one (household or
individual) CVFS data set.
16:45-17:00 Wrap-up of Day 1
-Dirgha/Prem -Lewis-Beck (P 3 )
-Alford (Ch 2)
-Singleton and Straits
(Ch. 4; Pp. 107-112).
-Bryman (Ch. 3 Pp. 69-
74).
Project Work
This will be the main
research project work.
Note: Participants are encouraged to use lab/training hall facilities if they require additional practice time after the regular session
(after 5pm). Instructors will be available for facilitation.

Day 2
Time
Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are
recommended)
08:30-09:00 Review of Day 1
Discussion on research question (Project work)
09:00-10:00 • Levels of measurement (including types of variables)
• Steps in data creation (from questionnaire)
10:00-10:15 Tea/Coffee
10:15-11:00 In class exercise: Variables
-Provide a list of variables (from CVFS or DHS data)
with their measurement units. Discuss their levels of
measurements (also a descriptive statistics table from a
journal article).
11:00-12:00 SPSS Tutorial 1: Introduction to the SPSS System (with
hands-on): Overview of SPSS windows (data view and
variable view, syntax window, and output window)
-File structures
-Prem
-Prem
-Prem/Binoj/Bishnu
-Singleton and Straits ( Pp.84-
112; 126-130)
-IBM SPSS Statistics 19. Brief
Guide (Electronic copy)
Project Work
Identification of
dependent and
independent variable(s)
SPSS-Hands on Exercise
12:00-13:00 Lunch
13:00-14:00 SPSS Tutorial 1: …contd
-Coding and entering data into SPSS
-Importing data into SPSS
14:00-15:00 SPSS Tutorial 2.1:Exploring data with SPSS
-Filter (select if), sort and merge functions
-Syntax basics
15:00-15:15 Tea/Coffee
-Prem/Binoj/Bishnu
-Prem/Binoj/Bishnu
-IBM SPSS Statistics 19. Brief
Guide (Electronic copy)
-IBM SPSS Statistics 19. Brief
Guide (Electronic copy)
SPSS-Hands on Exercise
SPSS-Hands on Exercise
15:15-16:45 SPSS Tutorial 2.2:Exploring data with SPSS
-Data transformations (recodes and compute functions)
-Prem/Binoj/Bishnu
-IBM SPSS Statistics 19. Brief
Guide (Electronic copy)
SPSS-Hands on Exercise
16:45-17:00 Wrap-up of Day 2

Day 3
Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are
Time
recommended)
08:30-09:00 Review of Day 2 -Prem
09:00-10:00 An introduction to survey data analysis (analysis
techniques by levels of measurement)
10:00-10:15 Tea/Coffee
10:15- 11:00 SPSS Tutorial 3: Univariate Analysis
• Frequencies and percentages
• Central tendency (mean, mode, median)
• Dispersion (range and standard deviation)
11:00- 12:00 SPSS Tutorial 3: Univariate Analysis…contd
1. Provide a descriptive statistics table from a journal
article and ask participants to interpret the coefficients
2. Provide a list of variables and ask participants to run
these procedures and interpret the results.
12:00-13:00 Lunch
13:00-15:00 SPSS Tutorial 4: Bi-variate Analysis
• Concept on hypothesis testing
• Mean comparisons
1. Provide bi-variate results from a journal article, ask
participants to identify the type of analysis, and
interpret coefficients (including hypothesis testing)
2. Provide variables and ask participants to run these
procedures and interpret the results
15:00-15:15 Tea/Coffee
15:15-16:45 SPSS Tutorial 5: Bi-variate Analysis
• Association: Table and chi-square
• Pearson correlation
1. Provide bi-variate results from a journal article, ask
participants to identify the type of analysis, and
interpret coefficients (including hypothesis testing)
2. Provide variables and ask participants to run these
procedures and interpret the results
16:45-17:00 Wrap-up of Day 3
-Prem -Fink Pp. 77-98
- Prem/Binoj -IBM SPSS Statistics 19. Brief
Guide (Electronic copy)
-IBM SPSS Statistics Base 19
(Electronic copy)
- Prem/Binoj -Fink Pp. 77-98 Project Work
Ask participants to run
these procedures and
interpret the results.
SPSS-Hands on Exercise
-Prem -IBM SPSS Statistics Base 19
(Electronic copy)
-Fink Pp. 77-98
-Prem -IBM SPSS Statistics Base 19
(Electronic copy)
Project Work
Ask participants to run
these procedures and
interpret the results.
SPSS-Hands on Exercise
Project Work
Ask participants to run
these procedures and
interpret the results.
SPSS-Hands on Exercise

Day 4
Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are
Time
recommended)
08:30-09:00 Review of Day 3 Prem
09:00-10:00 SPSS Tutorial 6: Multivariate Analysis
• Linear (Multiple) Regression (Ordinary Least Square
(OLS) Regression)
1. Provide a table with OLS estimates from a journal
article and ask participants to interpret coefficients.
2. Provide variables and ask participants to run these
procedures and interpret the results.
10:00-10:15 Tea/Coffee
10:15-12:00 SPSS Tutorial 6: Multivariate Analysis…OLS contd
12:00-13:00 Lunch
13:00-15:00 SPSS Tutorial 7: Logistic (Binary) Regression
1. Provide a table with results from a journal article and
discuss the results with participants
2. Provide variables and ask participants to run these
procedures and interpret the results
15:00-15:15 Tea/Coffee
Prem -Lewis-Beck, 1995; pp. 41-72
-IBM SPSS Statistics Base 19
(Electronic copy)
-Chapter 7, Multiple
Regression (SPSS)
Prem -DeMaris. 1995
-IBM SPSS Regression 19
(Electronic copy)
Project Work
Ask participants to run
these procedures and
interpret the results.
SPSS-Hands on Exercise
Project Work
Ask participants to run
these procedures and
interpret the results.
SPSS-Hands on Exercise
15:15-16:45 SPSS Tutorial 7: Logistic (Binary) Regression….contd Prem
16:45-17:00 Wrap-up of Day 4
SPSS-Hands on Exercise

Day 5
Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are
Time
recommended)
08:30-10:00 - Review of Day 4
-Writing and publication
-Research ethics
10:00-10:15 Tea/Coffee
10:15-12:00 Participants will work on their project. Participants will
make univariate, bi-variate and multivariate tables, and
interpret those results.
12:00-13:00 Lunch
13:00-15:00 Presentations
15:00-15:15 Tea/Coffee
-Dirgha -Singleton and Straits (Ch 17)
Prem
-Groves et al., Pp. 371-403.
-Wenderoth (Psychology)
Each participant will
prepare (power point)
presentation based on the
results.
15:15-10:00 Questions, exploration, and evaluations -Dirgha/Prem
16:00-17:00 Closing -Dirgha
***The End***