Module 1: Introduction to Research Design

• Overview of research design
• Formulating research questions
• Types of research designs
• Sampling methods
• Practical session: Developing a research design

Module 2: Mobile Data Collection Tools using KoboToolbox

• Introduction to mobile data collection
• Overview of KoboToolbox
• Designing surveys for mobile data collection
• Data synchronization and management
• Practical session: Collecting data using KoboToolbox

Module 3: Introduction to NVIVO

• Overview of NVIVO
• Setting up a project in NVIVO
• Importing and organizing data
• Coding and categorizing data
• Practical session: Setting up and organizing a project in NVIVO

Module 4: Qualitative Data Analysis using NVIVO

• Data coding and analysis
• Thematic analysis
• Querying data in NVIVO
• Visualizing qualitative data
• Practical session: Conducting qualitative data analysis in NVIVO

Module 5: Introduction to Stata

• Overview of Stata
• Data import and management in Stata
• Basic commands and operations
• Data cleaning and preparation
• Practical session: Importing and managing data in Stata

Module 6: Descriptive Statistics using Stata

• Measures of central tendency
• Measures of dispersion
• Data visualization techniques
• Generating descriptive statistics
• Practical session: Analyzing data using descriptive statistics in Stata

Module 7: Inferential Statistics using Stata

• Hypothesis testing
• Confidence intervals
• T-tests and ANOVA
• Chi-square tests
• Practical session: Conducting inferential statistical analyses in Stata

Module 8: Regression Analysis using Stata

• Simple linear regression
• Multiple linear regression
• Assumptions and diagnostics
• Model evaluation
• Practical session: Building and evaluating regression models in Stata

Module 9: Advanced Statistical Techniques using Stata

• Multivariate analysis
• Factor analysis
• Structural equation modeling
• Advanced regression techniques
• Practical session: Applying advanced statistical techniques in Stata

Module 10: Data Interpretation and Presentation

• Interpreting qualitative and quantitative data
• Presenting data in tables and figures
• Writing research reports
• Creating effective presentations
• Practical session: Presenting research findings

Module 11: Mixed Methods Research

• Introduction to mixed methods research
• Designing mixed methods studies
• Data integration techniques
• Analyzing mixed methods data
• Practical session: Conducting mixed methods research

Module 12: Reporting and Writing Research Findings

• Writing research reports
• Presenting data in tables and figures
• Creating effective presentations
• Ethical considerations in research
• Practical session: Writing and presenting research findings

Module 13: Software Integration

• Integrating NVIVO and Stata
• Exporting and importing data between software
• Combining qualitative and quantitative data
• Case study analysis
• Practical session: Integrating NVIVO and Stata for mixed methods research

Module 14: Project Management in Research

• Research project planning
• Time management
• Resource allocation
• Monitoring and evaluation
• Practical session: Managing a research project

Module 15: Qualitative Research Methods

• Introduction to qualitative research
• Data collection methods for qualitative research
• Coding and thematic analysis
• Qualitative data presentation
• Practical session: Conducting qualitative research

Module 16: Ethical Issues in Research

• Introduction to research ethics
• Ethical issues in data collection and analysis
• Institutional review boards
• Ensuring research integrity
• Practical session: Addressing ethical issues in research

Module 17: Updates and Future Directions in Research

• Latest trends in research methodologies
• Advances in mobile data collection tools
• Future directions in qualitative and quantitative analysis
• Innovations in mixed methods research
• Practical session: Exploring future directions in research

Module 18: Research Dissemination and Knowledge Translation

• Strategies for disseminating research findings
• Knowledge translation techniques
• Engaging stakeholders in research
• Creating impact with research
• Practical session: Disseminating and translating research findings

Trainer Experience

Our trainers are experienced researchers and academicians with extensive backgrounds in research design, mobile data collection, and data analysis using NVIVO and Stata. They have conducted numerous research projects and are passionate about sharing their knowledge with participants.

Quality statement

We are committed to providing high-quality training that equips participants with the skills and knowledge needed to excel in research design, mobile data collection, and data analysis. Our course materials are continuously updated to reflect the latest advancements in the field.

Tailor-made courses

We offer tailor-made courses to meet the specific needs of organizations. Please contact us to discuss your requirements, and we will design a customized training program for your team.

Payment

Payment is required a week before the training starts.

Accommodation and airport pick-up

We offer assistance with accommodation and airport pick-up for participants traveling from outside the area. Please contact us for more information.