Mixed Methods Research Design Training Course

Mixed Methods Research Design Training Course


NB: HOW TO REGISTER TO ATTEND

Please choose your preferred schedule and location from Nairobi, Kenya; Mombasa, Kenya; Dar es Salaam, Tanzania; Dubai, UAE; Pretoria, South Africa; or Istanbul, Turkey. You can then register as an individual, register as a group, or opt for online training. Fill out the form with your personal and organizational details and submit it. We will promptly process your invitation letter and invoice to facilitate your attendance at our workshops. We eagerly anticipate your registration and participation in our Skill Impact Trainings. Thank you.

Course Date Duration Location Registration

Mixed Methods Research Design Training Course

Course Introduction

The Mixed Methods Research Design Training Course is designed to equip participants with comprehensive knowledge and practical skills in integrating qualitative and quantitative research approaches to address complex research questions and organizational challenges. In today's evidence-based environment, organizations increasingly require robust research methodologies that combine numerical data with contextual insights to improve decision-making, program evaluation, policy development, and strategic planning. This course provides participants with advanced competencies in mixed methods research design, data collection techniques, analytical strategies, and interpretation of integrated findings.

The course focuses on the principles and applications of mixed methods research, including research paradigms, research design selection, formulation of research questions, sampling strategies, qualitative and quantitative data collection methods, data integration techniques, and mixed methods data analysis. Participants will gain practical experience in designing and implementing mixed methods studies that generate comprehensive, valid, and actionable evidence for organizational performance improvement, market research, social research, and development interventions.

As organizations increasingly seek evidence that combines statistical rigor with contextual understanding, mixed methods research has emerged as a powerful approach for conducting program evaluations, impact assessments, policy studies, organizational research, and stakeholder analyses. This training emphasizes methodological integration, triangulation techniques, and evidence synthesis to enable participants to develop comprehensive research solutions that address multifaceted organizational and societal issues.

Through presentations, practical exercises, collaborative learning activities, and real-world case studies, participants will develop competencies in designing, implementing, analyzing, and reporting mixed methods research projects. Upon completion of this course, participants will be capable of applying integrated research methodologies effectively, producing high-quality evidence, and supporting evidence-based decision-making, organizational learning, and strategic management initiatives.

Course Objectives

Upon completion of this course, participants will be able to:

1.     Understand the principles and foundations of mixed methods research design.

2.     Differentiate between qualitative, quantitative, and mixed methods approaches.

3.     Formulate research questions suitable for mixed methods studies.

4.     Design and implement appropriate mixed methods research frameworks.

5.     Apply qualitative and quantitative sampling techniques effectively.

6.     Integrate multiple data collection methods within a single study.

7.     Conduct mixed methods data analysis and evidence integration.

8.     Interpret and communicate integrated research findings professionally.

9.     Apply research ethics and quality assurance principles in mixed methods studies.

10.  Utilize mixed methods research findings to support evidence-based decision-making.

Organizational Benefits

Organizations that invest in this training will benefit by:

1.     Strengthening evidence-based decision-making capabilities.

2.     Improving program evaluation and impact assessment practices.

3.     Enhancing policy development and strategic planning processes.

4.     Supporting comprehensive organizational research initiatives.

5.     Improving stakeholder analysis and engagement strategies.

6.     Increasing data quality and analytical rigor.

7.     Strengthening monitoring and evaluation systems.

8.     Enhancing innovation through integrated evidence generation.

9.     Building staff capacity in advanced research methodologies.

10.  Improving organizational performance through informed decisions and strategic interventions.

Target Participants

This course is designed for researchers, monitoring and evaluation specialists, program managers, project officers, policy analysts, statisticians, social scientists, market researchers, consultants, government officials, development practitioners, academicians, postgraduate students, and professionals responsible for conducting research, evaluating programs, managing data, and supporting evidence-based decision-making processes.

Course Outline

Module 1: Foundations of Mixed Methods Research

1.     Principles and concepts of mixed methods research

2.     Philosophical foundations and research paradigms

3.     Characteristics and applications of mixed methods studies

4.     Advantages and limitations of mixed methods approaches

5.     Contemporary trends in mixed methods research

6.     General Case Study: Developing an integrated research approach for organizational performance assessment

Module 2: Research Problem Identification and Question Development

1.     Identification of complex research problems

2.     Formulation of mixed methods research questions

3.     Development of research objectives and hypotheses

4.     Conceptual and theoretical framework development

5.     Defining research scope and integration requirements

6.     General Case Study: Developing research questions for community development studies

Module 3: Mixed Methods Research Designs

1.     Sequential explanatory design

2.     Sequential exploratory design

3.     Convergent parallel design

4.     Embedded mixed methods design

5.     Multiphase mixed methods design

6.     General Case Study: Selecting an appropriate design for program evaluation research

Module 4: Quantitative Data Collection Techniques

1.     Survey research methods

2.     Questionnaire design and validation

3.     Measurement scales and variable operationalization

4.     Experimental and observational quantitative techniques

5.     Quantitative data quality assurance procedures

6.     General Case Study: Conducting a customer satisfaction survey

Module 5: Qualitative Data Collection Techniques

1.     In-depth interview methods

2.     Focus group discussion techniques

3.     Observation methods and field studies

4.     Document review and content analysis

5.     Recording and managing qualitative data

6.     General Case Study: Conducting stakeholder perception interviews

Module 6: Sampling Strategies in Mixed Methods Research

1.     Principles of mixed methods sampling

2.     Probability sampling techniques

3.     Non-probability sampling approaches

4.     Integration of qualitative and quantitative samples

5.     Sample size determination procedures

6.     General Case Study: Designing a sampling framework for impact assessment studies

Module 7: Data Integration and Triangulation Techniques

1.     Principles of data integration

2.     Triangulation methods and applications

3.     Merging qualitative and quantitative findings

4.     Comparing and contrasting datasets

5.     Ensuring consistency and complementarity of evidence

6.     General Case Study: Integrating survey and interview findings for policy research

Module 8: Mixed Methods Data Analysis

1.     Descriptive and inferential statistical techniques

2.     Coding and thematic qualitative analysis

3.     Joint displays and integrated analytical frameworks

4.     Interpretation of integrated datasets

5.     Developing evidence-based conclusions

6.     General Case Study: Analyzing integrated data for organizational studies

Module 9: Validity, Reliability, and Quality Assurance

1.     Quality criteria in mixed methods research

2.     Quantitative validity and reliability procedures

3.     Qualitative trustworthiness and credibility techniques

4.     Data verification and quality control mechanisms

5.     Managing methodological challenges and limitations

6.     General Case Study: Ensuring quality in a multi-method evaluation study

Module 10: Research Ethics in Mixed Methods Studies

1.     Principles of research ethics

2.     Informed consent and confidentiality procedures

3.     Ethical considerations in data collection

4.     Data protection and privacy requirements

5.     Managing ethical challenges in integrated studies

6.     General Case Study: Addressing ethical concerns in community-based research

Module 11: Program Evaluation and Impact Assessment

1.     Principles of program evaluation

2.     Theory of change and results frameworks

3.     Designing mixed methods evaluations

4.     Measuring outcomes and impacts

5.     Developing evidence-based recommendations

6.     General Case Study: Evaluating a public health intervention using mixed methods research

Module 12: Research Reporting and Dissemination

1.     Structure and components of mixed methods reports

2.     Writing integrated research findings

3.     Presenting qualitative and quantitative evidence

4.     Developing conclusions and recommendations

5.     Disseminating findings to stakeholders and decision-makers

6.     General Case Study: Preparing and presenting a professional mixed methods research report

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.

 

 

Foscore Development Center |Training Courses | Monitoring and Evaluation|Data Analysis|Market Research |M&E Consultancy |ICT Services |Mobile Data Collection | ODK Course | KoboToolBox | GIS and Environment |Agricultural Services |Business Analytics specializing in short courses in GIS, Monitoring and Evaluation (M&E), Data Management, Data Analysis, Research, Social Development, Community Development, Finance Management, Finance Analysis, Humanitarian and Agriculture, Mobile data Collection, Mobile data Collection training, Mobile data Collection training Nairobi, Mobile data Collection training Kenya, ODK, ODK training, ODK training Nairobi, ODK training Kenya, Open Data Kit, Open Data Kit training, Open Data Kit Training, capacity building, consultancy and talent development solutions for individuals and organisations, through our highly customised courses and experienced consultants, in a wide array of disciplines

Other Upcoming Workshops Kenya, Rwanda, Tanzania, Ethiopia and Dubai

1 Digital Transformation Leadership for Executives Training Course
2 Geospatial Applications in Peacekeeping Missions Training Course
3 Enterprise Risk Management Training Course
4 Corporate Partnership Development Training Course
Chat with our Consultants WhatsApp