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

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<strong>Survey</strong> <strong>Data</strong> <strong>Analysis</strong> Training<br />

June 4-8, 2012<br />

Organized by:<br />

<strong>Institute</strong> <strong>for</strong> <strong>Social</strong> <strong>and</strong> <strong>Environmental</strong> Research-Nepal, Fulbari, Chitwan, Nepal<br />

<strong>and</strong><br />

University of Michigan, Ann Arbor, USA<br />

Duration: 40 hours (5 days)<br />

Pre-requisite: A minimum of Master’s degree with background of basic statistics. Computing knowledge is<br />

necessary. Background in social science research will be an asset.<br />

Objective<br />

The goal of this workshop is to provide knowledge <strong>and</strong> skills on survey data analysis techniques including<br />

intensive h<strong>and</strong>s-on computer exercises using the commonly available analytical software, Statistical Package <strong>for</strong><br />

the <strong>Social</strong> Sciences (SPSS). Upon completion, the participants will:<br />

1. Learn about survey data, data structure, data importation, <strong>and</strong> data management;<br />

2. Have practical skills on survey data analysis techniques (univariate, bi-variate <strong>and</strong> multivariate<br />

techniques) using SPSS; <strong>and</strong><br />

4. Learn interpret <strong>and</strong> present the results <strong>for</strong> reports <strong>and</strong> scientific papers.<br />

Course Description<br />

This course focuses on various techniques commonly used <strong>for</strong> the analysis of survey data. First, this course will<br />

focus on data structure, data importation <strong>and</strong> data management. This includes a brief introduction to SPSS,<br />

statistical software to analyze social science data. Then, under data analysis techniques, we will include univariate<br />

(data description <strong>and</strong> summarization), bi-variate (mean comparisons, chi-square <strong>and</strong> correlation), <strong>and</strong> multivariate<br />

(linear <strong>and</strong> binary logistic regression) analysis techniques. Emphasis will be given to choosing appropriate<br />

statistical tools <strong>for</strong> data analysis <strong>and</strong> interpretation of the results. SPSS will be extensively used. More<br />

importantly, this workshop will focus on practical issues associated with choosing appropriate statistical tools,<br />

analysis of data, <strong>and</strong> interpretation of the results with reference to scientific articles published in highly referred<br />

sociological <strong>and</strong> population journals around the globe.<br />

Resource Persons<br />

Dr. Prem Bh<strong>and</strong>ari, Assistant Research Scientist, Population Studies Center, University of Michigan<br />

Mr. Binoj Shrestha, Research Associate, ISER-N, Fulbari, Chitwan<br />

Mr. Bishnu Adhikari, <strong>Data</strong>base Manager, ISER-N, Fulbari, Chitwan<br />

Readings<br />

Al<strong>for</strong>d, Robert R. 1998. The Craft of Inquiry: Theories, Methods, Evidence. New York Ox<strong>for</strong>d: Ox<strong>for</strong>d University Press.<br />

Bryman, Alan. 2009. <strong>Social</strong> Research Methods. Ox<strong>for</strong>d, New York: Ox<strong>for</strong>d University Press.<br />

Babbie, Earl. 1990. <strong>Survey</strong> Research Methods. Belmont, Cali<strong>for</strong>nia: Wadsworth Publishing Company, Inc.<br />

DeMaris, Alfred. 1995. “A Tutorial in Logistic Regression.” Journal of Marriage <strong>and</strong> the Family, 57: 956-968.<br />

Field, Andy. 2009. Discovering Statistics Using SPSS. Los Angeles, London, New Delhi, Singapore, Washington DC:<br />

SAGE.<br />

Fink, Arlene. 2009. How to Conduct <strong>Survey</strong>s: A Step by Step Guide. Los Angeles, London, New Delhi, Singapore,<br />

Washington DC: Sage Publications.<br />

Groves, Robert M., Floyd J. Fowler, Jr., Mick P. Couper, James M. Lepkowski, Eleanor Singer, <strong>and</strong> Roger Tourangean.<br />

2010. <strong>Survey</strong> Methodology. Hoboken, New Jersey: John Wiley <strong>and</strong> Sons, Inc.<br />

Lewis-Beck, Michael S. 1995. <strong>Data</strong> <strong>Analysis</strong>: An Introduction. Thous<strong>and</strong> Oaks, London, New Delhi: Sage Publications.<br />

Singleton, Royce A. Jr., <strong>and</strong> Bruce C. Straits. 2005. Approaches to <strong>Social</strong> Research. 4 th Edition. New York: Ox<strong>for</strong>d<br />

University Press.<br />

SPSS User Guide. 2010. SPSS Inc.<br />

Wenderoth, Peter. How to Write a Scientific Research Paper? Psychology. Macquaire University, Australia<br />

(http://vision.psy.mq.edu.au/~peterw/MSsorter.PDF retrieved on November 6, 2011).


Day 1 (4 June 2012)<br />

<strong>Survey</strong> <strong>Data</strong> <strong>Analysis</strong><br />

June 4-8, 2012<br />

Training Schedule<br />

Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are<br />

Time<br />

recommended)<br />

07:30: 08:00<br />

08:00-08:30<br />

Trainee arrive at ISER-N Campus in Fulbari, Chitwan<br />

Registration <strong>and</strong> Breakfast<br />

-Krishna<br />

-Krishna<br />

08:30-10:00 Introductions<br />

-Binoj<br />

Distribution of course<br />

Welcome <strong>and</strong> introduction to ISER-N<br />

-Dr. Dangol<br />

outline/ course pack<br />

Overview of the workshop<br />

-Prem<br />

Briefing on course pack<br />

-Prem/Bishnu<br />

10:00-10:15 Tea/Coffee<br />

10:15-11:00 <strong>Survey</strong> research, survey lifecycle <strong>and</strong> survey errors -Prem -Groves et al. 2010<br />

(Ch. 2; Pp. 39-65)<br />

-Fink 2009 (Pp. 1-12)<br />

-Babbie 1990<br />

(Ch. 4, Pp. 51-64)<br />

11:00-12:00 An introduction to large scale surveys in Nepal<br />

Census<br />

Nepal Demographic Health <strong>Survey</strong>s (DHS)<br />

Nepal Living St<strong>and</strong>ard <strong>Survey</strong> (NLSS)<br />

Nepal Labor Force <strong>Survey</strong> (NLFS)<br />

Multiple Indicators Cluster <strong>Survey</strong> (MICS)<br />

Others (Nepal Adolescent <strong>and</strong> Young Adult (NAYA)<br />

<strong>Survey</strong>)<br />

12:00-13:00 Lunch<br />

-Prem


Day 1……<br />

Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are<br />

Time<br />

recommended)<br />

13:00-14:00 Chitwan Valley Family Study (CVFS)<br />

Overview of study design <strong>and</strong> objectives<br />

The research programs<br />

-Prem/Binoj<br />

Overview of community, household, individual,<br />

<strong>and</strong> environmental (flora <strong>and</strong> l<strong>and</strong> use) data<br />

14:00-15:00 -Introduce CVFS data CD <strong>and</strong> codebook<br />

-SPSS Environment<br />

15:00-15:15 Tea/Coffee<br />

15:15-16:45 Discussion on research question<br />

The research process <strong>and</strong> research question<br />

Discuss possible research questions (that can be<br />

answered using cross sectional vs. longitudinal data)<br />

Exercise: Discuss one or two examples of research<br />

questions from published papers<br />

Exercise<br />

Ask participants to identify a research question of interest<br />

that can be answered by using any one (household or<br />

individual) CVFS data set or their own.<br />

16:45-17:00 Wrap-up of Day 1<br />

-Prem/Bishnu<br />

-Prem<br />

-Prem -Lewis-Beck 1995 (P 3 )<br />

-Al<strong>for</strong>d 1998 (Ch 2)<br />

Discuss at least one in<br />

detail<br />

-Singleton <strong>and</strong> Straits<br />

2005<br />

(Ch. 4; Pp. 107-112).<br />

-Bryman 2009<br />

(Ch. 3 Pp. 69-74).<br />

Project Work<br />

This will be the main<br />

project work.<br />

Note: Participants are encouraged to use lab/training hall facilities if they require additional practice time after the regular session<br />

(after 5pm). Instructors will be available <strong>for</strong> facilitation.


Day 2 (5 June 2012)<br />

Time Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are<br />

recommended)<br />

08:30-09:00 Review of Day 1<br />

Discussion on research question (Project work)<br />

09:00-10:00 Levels of measurement (including types of variables)<br />

In class exercise: Variables<br />

-Provide a list of variables (from CVFS or DHS data)<br />

with their measurement units (also a descriptive statistics<br />

table from a journal article). Discuss their levels of<br />

measurements.<br />

10:00-10:15 Tea/Coffee<br />

-Prem/Bishnu -Singleton <strong>and</strong> Straits 2005<br />

(Pp.84-112; 126-130)<br />

10:15-11:00 Steps in data creation -Prem/Bishnu -Singleton <strong>and</strong> Straits 2005<br />

(Pp.84-112; 126-130)<br />

Project Work<br />

Identification of<br />

dependent <strong>and</strong><br />

independent variables<br />

11:00-12:00 SPSS Tutorial 1: Introduction to the SPSS System (with<br />

h<strong>and</strong>s-on): Overview of SPSS windows (data view <strong>and</strong><br />

variable view, syntax window, <strong>and</strong> output window)<br />

-File structures<br />

-Coding <strong>and</strong> entering data into SPSS<br />

-Importing data into SPSS<br />

12:00-13:00 Lunch<br />

-Prem/Binoj/Bishnu<br />

-IBM SPSS Statistics 19. Brief<br />

Guide (Electronic copy)<br />

SPSS-H<strong>and</strong>s on Exercise<br />

13:00-14:00 SPSS Tutorial 1: …contd.<br />

-Coding <strong>and</strong> entering data into SPSS<br />

-Importing data into SPSS<br />

14:00-15:00 SPSS Tutorial 2.1:Exploring data with SPSS<br />

-Filter (select if), sort <strong>and</strong> merge functions<br />

-Syntax basics<br />

15:00-15:15 Tea/Coffee<br />

-Prem/Binoj/Bishnu<br />

-Prem/Binoj/Bishnu<br />

-IBM SPSS Statistics 19. Brief<br />

Guide (Electronic copy)<br />

-IBM SPSS Statistics 19. Brief<br />

Guide (Electronic copy)<br />

SPSS-H<strong>and</strong>s on Exercise<br />

SPSS-H<strong>and</strong>s on Exercise<br />

15:15-16:45 SPSS Tutorial 2.2:Exploring data with SPSS<br />

-<strong>Data</strong> trans<strong>for</strong>mations (recodes <strong>and</strong> compute functions)<br />

-Prem/Binoj/Bishnu<br />

-IBM SPSS Statistics 19. Brief<br />

Guide (Electronic copy)<br />

SPSS-H<strong>and</strong>s on Exercise<br />

16:45-17:00 Wrap-up of Day 2


Day 3 ( 6 June 2012)<br />

Time Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are<br />

recommended)<br />

08:30-09:00 Review of Day 2 -Prem<br />

09:00-10:00 An introduction to survey data analysis (analysis<br />

techniques by levels of measurement)<br />

10:00-10:15 Tea/Coffee<br />

10:15- 11:00 SPSS Tutorial 3: Univariate <strong>Analysis</strong><br />

Frequencies <strong>and</strong> percentages<br />

Central tendency (mean, mode, median)<br />

Dispersion (range <strong>and</strong> st<strong>and</strong>ard deviation)<br />

Graphs<br />

11:00- 12:00 SPSS Tutorial 3: Univariate <strong>Analysis</strong>…contd<br />

1. Provide a descriptive statistics table from a journal<br />

article <strong>and</strong> ask participants to interpret the coefficients<br />

2. Provide a list of variables <strong>and</strong> ask participants to run<br />

these procedures <strong>and</strong> interpret the results.<br />

12:00-13:00 Lunch<br />

13:00-15:00 SPSS Tutorial 4: Bi-variate <strong>Analysis</strong><br />

Concept on hypothesis testing<br />

Mean comparisons<br />

1. Provide bi-variate results from a journal article, ask<br />

participants to identify the type of analysis, <strong>and</strong><br />

interpret coefficients (including hypothesis testing)<br />

2. Provide variables <strong>and</strong> ask participants to run these<br />

procedures <strong>and</strong> interpret the results<br />

15:00-15:15 Tea/Coffee<br />

15:15-16:45 SPSS Tutorial 5: Bi-variate <strong>Analysis</strong><br />

Association: Table <strong>and</strong> chi-square<br />

Pearson correlation<br />

1. Provide bi-variate results from a journal article, ask<br />

participants to identify the type of analysis, <strong>and</strong><br />

interpret coefficients (including hypothesis testing)<br />

2. Provide variables <strong>and</strong> ask participants to run these<br />

procedures <strong>and</strong> interpret the results<br />

16:45-17:00 Wrap-up of Day 3<br />

-Prem -Fink 2009 (Pp. 77-98)<br />

- Prem/Binoj -IBM SPSS Statistics 19. Brief<br />

Guide (Electronic copy)<br />

-IBM SPSS Statistics Base 19<br />

(Electronic copy)<br />

- Prem/Binoj -Fink 2009 (Pp. 77-98) Project Work<br />

Ask participants to run<br />

these procedures <strong>and</strong><br />

interpret the results.<br />

SPSS-H<strong>and</strong>s on Exercise<br />

-Prem -IBM SPSS Statistics Base 19<br />

(Electronic copy)<br />

-Fink 2009 (Pp. 77-98)<br />

-Prem -IBM SPSS Statistics Base 19<br />

(Electronic copy)<br />

Project Work<br />

Ask participants to run<br />

these procedures <strong>and</strong><br />

interpret the results.<br />

SPSS-H<strong>and</strong>s on Exercise<br />

Project Work<br />

Ask participants to run<br />

these procedures <strong>and</strong><br />

interpret the results.<br />

SPSS-H<strong>and</strong>s on Exercise


Day 4 (7 June 2012)<br />

Time Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading are<br />

recommended)<br />

08:30-09:00 Review of Day 3 Prem<br />

09:00-10:00 SPSS Tutorial 6: Multivariate <strong>Analysis</strong><br />

Linear (Multiple) Regression (Ordinary Least Square<br />

(OLS) Technique)<br />

1. Provide a table with OLS estimates from a journal<br />

article <strong>and</strong> ask participants to interpret coefficients.<br />

2. Provide variables <strong>and</strong> ask participants to run these<br />

procedures <strong>and</strong> interpret the results.<br />

10:00-10:15 Tea/Coffee<br />

10:15-12:00 SPSS Tutorial 6: Multivariate <strong>Analysis</strong>…OLS …contd<br />

12:00-13:00 Lunch<br />

Prem -Lewis-Beck, 1995;(Ppp. 41-<br />

72)<br />

-IBM SPSS Statistics Base 19<br />

(Electronic copy)<br />

-Chapter 7, Multiple<br />

Regression (SPSS)<br />

Project Work<br />

Ask participants to run<br />

these procedures <strong>and</strong><br />

interpret the results.<br />

SPSS-H<strong>and</strong>s on Exercise<br />

13:00-15:00 SPSS Tutorial 7: Logistic (Binary) Regression<br />

1. Provide a table with results from a journal article <strong>and</strong><br />

discuss the results<br />

2. Provide variables <strong>and</strong> ask participants to run these<br />

procedures <strong>and</strong> interpret the results<br />

15:00-15:15 Tea/Coffee<br />

Prem -DeMaris. 1995<br />

-IBM SPSS Regression 19<br />

(Electronic copy)<br />

Project Work<br />

Ask participants to run<br />

these procedures <strong>and</strong><br />

interpret the results.<br />

SPSS-H<strong>and</strong>s on Exercise<br />

15:15-16:45 SPSS Tutorial 7: Logistic (Binary) Regression….contd Prem<br />

16:45-17:00 Wrap-up of Day 4<br />

SPSS-H<strong>and</strong>s on Exercise


Day 5 (8 June 2012)<br />

Time Activity/Topic Lead Person(s) Readings (Required) Remarks (Reading<br />

are recommended)<br />

08:30-10:00 - Review of Day 4<br />

10:00-10:15 Tea/Coffee<br />

-Writing <strong>and</strong> publication<br />

-Research ethics<br />

-Prem<br />

-Prem/Bishnu<br />

-Singleton <strong>and</strong> Straits 2005<br />

(Ch 17)<br />

-Groves et al., 2010<br />

(Pp. 371-403.)<br />

-Wenderoth<br />

(Psychology)<br />

10:15-12:00 Participants will work on their project. Participants will<br />

make univariate, bi-variate <strong>and</strong> multivariate tables, <strong>and</strong><br />

interpret those results.<br />

12:00-13:00 Lunch<br />

- Prem/Binoj/Bishnu Each participant will<br />

prepare (power point)<br />

presentation based on<br />

the results.<br />

13:00-15:00 Presentations<br />

15:00-15:15 Tea/Coffee<br />

15:15-10:00 Questions, exploration, <strong>and</strong> evaluations - Prem/Binoj/Bishnu<br />

16:00-17:00 Closing -Dr. Dangol<br />

***The End***

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