Training on Research Design, Data Management, and Statistical Analysis using SPSS

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 opens the gateway to conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge of 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 of this SPSS short course on research design, data management and statistical Analysis , 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.

Course Duration

10 Days

Who Should Attend

• Researchers, academics, and students involved in quantitative research.
• Data analysts and statisticians seeking to enhance their skills in SPSS.
• Professionals from various fields such as social sciences, health, education, and business who need to analyze data and interpret statistical results.
• Individuals who are new to SPSS and wish to gain practical experience in using the software for data analysis.

Organizational Impact

• Enhance research integrity and credibility through standardized best practices.

• Improve efficiency and accuracy in data analysis, reducing time and costs.

• Foster a data-literate culture for informed, evidence-based decisions.

Personal Impact

• Gain in-demand skills for a career in research and data analysis.

• Advance into senior research, PI, or data stewardship roles.

• Lead and manage complex research projects with confidence.

By the end of this course, participants will be able to

• Understand the principles and methodologies of research design.
• Formulate research questions and hypotheses.
• Design and implement surveys and experiments.
• Collect, manage, and clean data using SPSS.
• Perform descriptive and inferential statistical analyses using SPSS.
• Interpret and report the results of statistical analyses.
• Apply appropriate statistical techniques to different types of data.
• Enhance their decision-making and problem-solving skills using statistical evidence.
• Create visual representations of data and statistical results.
• Develop a comprehensive understanding of SPSS functionalities and tools.

Introduction to research

• Introduction to research
• Different types of research
• Formulation of research problem statement
• Formulation of research hypothesis

Overview of Evaluation

• Evaluation Objectives
• Evaluation Criteria
• Evaluation Questions

Research Design

• Quantitative Research Approaches
• Qualitative Research Approaches

Sampling

• Sampling Techniques
  • Probability
  • Non-probability
• Sample size determination

Data Collection Methods in Research

• Quantitative data collection methods
• Qualitative data collection
• Creating an evaluation framework

Data Collection tools in Research

• Survey Questionnaire design
• FGD guide design
• KII guide design

Developing Research Protocol

• What is a research protocol?
• Basic concepts of a research protocol
• Structure of a research protocol

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)

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