Module 01
Research Methods
This segment of the programme will delve into the fundamental principles of research methodology. Participants will gain insights into the definition of research, distinguishing it from evaluation, and understanding the nuances between qualitative and quantitative methodologies. Through interactive sessions and practical examples, learners will explore various research approaches, methodologies, and their respective applications in diverse contexts. Additionally, the module will provide a brief overview of data collection techniques, data analysis methods, and the integration of qualitative and quantitative research techniques for robust and insightful research outcomes.
Module 02
Mixed Methods Research
This module would explore the integration of qualitative and quantitative research methods, providing participants with a deeper understanding of how to effectively combine different data collection and analysis approaches to address complex research questions. In quantitative research, the module will provide a deeper understanding of the design and implementation of surveys for quantitative data collection. This will include the different sampling designs, simple, stratified and cluster random sampling.
Module 03
Data Collection and Management
In this module, participants will delve into the intricacies of data collection and management processes essential for conducting effective research and evaluation. Topics covered will include various data collection methods such as surveys, interviews, observations, and focus groups, along with practical techniques for ensuring data accuracy, reliability, and validity. Participants will also learn about the importance of ethical considerations in data collection, including informed consent, confidentiality, and privacy protection. Furthermore, the module will address strategies for organising, storing, and managing large datasets efficiently using appropriate data management software and tools (ODK, KoboToolBox, Survey Solutions etc).
Module 04
Research Ethics and Safeguarding
This module will focus on the ethical principles and guidelines that govern research and evaluation activities. Participants will explore ethical considerations related to participant recruitment, informed consent, data confidentiality, and conflict of interest. Special attention will be given to safeguarding vulnerable populations and ensuring the ethical conduct of research in diverse cultural and social contexts. Through case studies and interactive discussions, participants will develop a comprehensive understanding of research ethics and learn how to apply ethical principles to their own research projects.
Module 05
Data Analysis
In this module, participants will learn essential data analysis techniques and tools for transforming raw data into meaningful insights. Topics covered will include statistical analysis methods for both quantitative and qualitative data, such as descriptive statistics, inferential statistics, thematic analysis, and content analysis. Participants will gain hands-on experience with data analysis software packages commonly used in research, such as SPSS, NVivo, STATA and R. Through practical exercises and case studies, participants will develop proficiency in data analysis and interpretation, enabling them to draw valid conclusions and implications from their research findings.
Module 06
Advanced Data Analysis Techniques
Building on the foundational data analysis module, this module would delve into more advanced statistical and analytical methods, such as regression analysis, factor analysis, and structural equation modelling. Participants would gain proficiency in using advanced data analysis software to conduct sophisticated analyses and interpret complex data sets.
Module 07
Writing Research and Evaluation Reports
This module will focus on the essential skills required for effectively communicating research and evaluation findings through written reports. Participants will learn how to structure and format research reports, including the components of an executive summary, introduction, literature review, methodology, results, discussion, and conclusions. Emphasis will be placed on clarity, coherence, and precision in writing, as well as the use of visual aids and graphics to enhance understanding. Participants will also explore strategies for tailoring reports to different audiences and stakeholders, ensuring that research findings are communicated effectively for decision-making and policy development purposes.
Module 08
Programme Evaluation
Participants would learn about the principles and practices of evaluating programmes and interventions, including logic models, evaluation frameworks, and outcome measurement techniques. This module would cover evaluation design, data collection methods, and reporting for assessing the effectiveness and impact of various initiatives.
Module 09
Research Dissemination and Knowledge Translation
This module will focus on strategies for disseminating research findings to diverse audiences and translating research into actionable recommendations for policymakers, practitioners, and the public. Participants would learn how to effectively communicate research findings through presentations, publications, and digital media platforms.
Module 10
Research Project Management
This module will cover the principles and practices of project management specific to research and evaluation projects. Topics would include project planning, budgeting, timeline management, team coordination, and risk mitigation strategies. Participants would gain skills in project management software tools and techniques for ensuring the successful implementation of research projects from start to finish.
Module 11
Career Development and Job Search Strategies
This module will focus on equipping participants with the essential skills and resources needed to navigate their career paths in the field of research and evaluation. Key topics covered would include:
- Self-assessment and goal setting: Participants will engage in self-reflection exercises to identify their strengths, interests, and career goals within the research and evaluation sector.
- Career exploration: Participants will explore various career paths and job roles within research institutions, non-profit organisations, government agencies, consulting firms, and academic settings.
- Networking and professional branding: Participants will learn effective networking strategies for building professional relationships and expanding their career opportunities within the research and evaluation community. They will also learn how to develop a strong professional brand through online platforms such as LinkedIn and professional associations.
- Job search techniques: Participants will learn practical job search techniques, including how to search for job openings, tailor their resumes and cover letters to specific positions, and prepare for job interviews.
- Professional development opportunities: Participants will explore ongoing professional development opportunities, such as conferences, workshops, certifications, and further education programmes, to enhance their skills and advance their careers in research and evaluation.
- Mentorship and career guidance: Participants will receive guidance and support from experienced mentors within the research and evaluation field, who would provide advice, feedback, and career insights to help mentees achieve their career goals.
By including a module on career development and job search strategies, the research and evaluation programme will provide participants with the technical skills and knowledge needed for research and evaluation work as well as empower them to navigate their career paths and succeed in the job market.
