Research Design, Data Management and Statistical Analysis - SPSS

Training, Project Management

Start date

11/11/2019

End date

22/11/2019

Overview

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.

Target Participants

The training is designed for participants who intend to learn how to plan, implement effective research studies including data management analysis.Those who are working in the private sector, government institutions, research institutions and NGOs.

Course duration

10 days

What you will learn

What you will learn:

By the end of this training the participants will learn to:

  • Understand and appropriately use statistical terms and concepts
  • Design and Implement universally acceptable research
  • Develop of functional research protocol
  • Design both quantitative and qualitative data collection tools
  • Perform data analysis tasks with SPSS
  • Perform simple to complex data management tasks using software
  • Statistical tests using SPSS software
  • Writing reports from survey data

Course outline

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

o   Probability

o   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