About the course

In the socio-economic and business context, conducting research, data management and data analysis are imperative for informed decision making. The availability of several datasets and research techniques open the gateway of conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge about the methodology of conducting research and use of SPSS as a research, data management and analysis tool is very beneficial for the researchers.

Upon completion, the participants will develop competence in quantitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis and interpretation of data.

What you will learn

• Understand and appropriately use statistical terms and concepts
• Design and Implement universally acceptable research
• Perform data analysis tasks with SPSS
• Perform simple to complex data management tasks using software
• Statistical tests using software
• Writing reports from survey data

Course Duration

Two weeks

Course outline

Introduction to research

• What is research?
• Types of research
• Formulation of problem statement
• Hypothesis formulation in research
• Research design
• Ethics in research

Introduction to Survey Design

• Introduction to survey
• Formulation of survey objectives
• Creating research questions
• Survey estimation
• Census vs sample survey
• Determining target and survey populations
• Sampling frame
• Survey methods: Questionnaire vs interview
• Survey errors: Sampling and non-sampling errors

Sampling

• Sample size determination
• Power calculations
• External and internal validity
• Sampling methods

Survey Questionnaire Design

• Questionnaire design process
• Questions: types of questions, wording, ranking, rating
• Questionnaire response error
• Questionnaire layout
• Piloting questionnaire
• Questionnaire processing

Mobile Data Collection and Processing (ODK)

• Introduction to mobile data gathering
• Design of survey forms using ODK build and XLSForm
• Use ODK collect to gather data
• Use ODK aggregate to upload data to the server
• Work with spatial data (GPS coordinates)

Survey Data Processing

• Data coding
• Data capture
• Data editing
• Data imputation
• Treatment of outliers

Introduction to SPSS statistical software

• SPSS interface and features
• Key terminologies used in SPSS
• Views: Variable, Data views, Syntax editor
• Data file preparation
• Data entry into SPSS
• Data manipulation: merge files, spit files, sorting files, missing values

Basic Statistics using SPSS

• Descriptive statistics for numeric variables
• Frequency tables
• Distribution and relationship of variables
• Cross tabulations of categorical variables
• Stub and Banner Tables

Graphics using SPSS

• Introduction to graphs in SPSS
• Graph commands in SPSS
• Different types of Graphs in SPSS

Statistical Tests using SPSS

• One Sample T Test
• Independent Samples T Test
• Paired Samples T Test
• One-Way ANOVA

Statistical Associations in SPSS

• Chi-Square test
• Pearson’s Correlation
• Spearman’s Rank-Order Correlation

Predictive Models using SPSS

• Linear Regression
• Multiple Regression
• Logistic Regression
• Ordinal Regression

Longitudinal Analysis using SPSS

• Features of Longitudinal Data
• Exploring Longitudinal data
• Longitudinal analysis for continuous outcomes

Qualitative Data Analysis using NVivo

• Introduction to NVivo
• NVivo workspace
• Uploading qualitative data into NVivo
• Coding and making nodes
• Use of queries
• Project visualization

Survey Report writing and Dissemination

• Survey report format
• Survey report content
• Survey findings dissemination
• Use of survey findings for decision making

Training Approach

• Hands-on practical exercises
• Presentations and demonstrations
• Group work and discussions
• Case studies based on real-world datasets

Certification

Upon successful completion of the course, participants will be awarded a Certificate of Completion.