Qualitative Data Management and Analysis using Atlas.ti
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Qualitative Data Management and Analysis using Atlas.ti

5 Days Online - Virtual Training

NB: HOW TO REGISTER TO ATTEND

Please choose your preferred schedule.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.

# Start Date End Date Duration Location Registration
21 13/01/2025 17/01/2025 5 Days Live Online Training
22 27/01/2025 31/01/2025 5 Days Live Online Training
23 10/02/2025 14/02/2025 5 Days Live Online Training
24 24/02/2025 28/02/2025 5 Days Live Online Training
25 10/03/2025 14/03/2025 5 Days Live Online Training
26 24/03/2025 28/03/2025 5 Days Live Online Training
27 07/04/2025 11/04/2025 5 Days Live Online Training
28 21/04/2025 25/04/2025 5 Days Live Online Training
29 05/05/2025 09/05/2025 5 Days Live Online Training
30 19/05/2025 23/05/2025 5 Days Live Online Training
31 02/06/2025 06/06/2025 5 Days Live Online Training
32 16/06/2025 27/06/2025 5 Days Live Online Training

Introduction:

 The "Training on Qualitative Data Management and Analysis using Atlas.ti" is an immersive and hands-on program designed to empower researchers, academics, and professionals with the essential skills to effectively manage, analyze, and interpret qualitative data using the powerful software tool, Atlas.ti. Qualitative research plays a pivotal role in understanding complex human behaviors, attitudes, and experiences, making it a valuable methodology in various fields such as social sciences, healthcare, education, and more. This training offers participants an opportunity to unlock the full potential of their qualitative research by harnessing the capabilities of Atlas.ti to organize, code, and derive meaningful insights from qualitative data.

Course Objectives:

The primary objectives of the "Training on Qualitative Data Management and Analysis using Atlas.ti" are to:

  • Introduce participants to the fundamental principles and concepts of qualitative research methodology.
  • Equip participants with a comprehensive understanding of Atlas.ti software and its functionalities for data management and analysis.
  • Provide hands-on experience in importing, organizing, and coding qualitative data within the software.
  • Guide participants in exploring different techniques for analyzing and interpreting qualitative data.
  • Foster the ability to create visual representations of data relationships and patterns using Atlas.ti.
  • Develop participants' capacity to generate rich narratives and reports based on their qualitative findings.
  • Empower participants to apply qualitative analysis outcomes to inform research, decision-making, and policy recommendations.

Organization Benefit:

Organizations that invest in sending their researchers, analysts, and professionals through the "Training on Qualitative Data Management and Analysis using Atlas.ti" program stand to gain significant advantages. By enhancing the proficiency of their staff in qualitative research and data analysis, organizations can improve the quality and depth of their research findings. This, in turn, leads to more informed decision-making, more effective communication of research outcomes to stakeholders, and the ability to derive actionable insights from qualitative data. The use of Atlas.ti streamlines the research process, allowing organizations to optimize time, resources, and productivity in conducting qualitative studies. Additionally, building the expertise of their teams in utilizing cutting-edge software contributes to the overall research capability and competitiveness of the organization.

Target Participants:

The course is tailored for a diverse audience of individuals who are involved in qualitative research, data analysis, and research management roles, including:

  • Researchers, academics, and scholars from various disciplines.
  • Social scientists, anthropologists, psychologists, and educators.
  • Professionals in healthcare, public health, and social work.
  • Policy analysts, market researchers, and consultants.
  • Graduates and students seeking to enhance their qualitative research skills.

Course Outline:

Module 1: Introduction to Qualitative Research

  • Understanding qualitative research principles and methodologies.
  • Differentiating qualitative research from quantitative research.

Module 2: Introduction to Atlas.ti Software

  • Exploring the features and functionalities of Atlas.ti.
  • Navigating the software interface and tools.

Module 3: Data Import and Organization

  • Importing various types of qualitative data into Atlas.ti.
  • Organizing data using codes, memos, and project structures.

Module 4: Coding and Categorization

  • Learning different coding techniques: descriptive, conceptual, and thematic.
  • Applying codes to segments of qualitative data.

Module 5: Data Analysis Techniques

  • Exploring techniques for content analysis, grounded theory, and narrative analysis.
  • Using Atlas.ti tools to analyze textual, visual, and audio data.

Module 6: Data Exploration and Visualization

  • Creating mind maps, networks, and concept maps to visualize data relationships.
  • Identifying patterns and connections within qualitative data.

Module 7: Memo Writing and Reflection

  • Writing memos to capture analytical insights and reflections.
  • Enhancing analytical thinking through memo writing.

Module 8: Writing Qualitative Reports

  • Transforming coded data into rich narratives and reports.
  • Incorporating quotations and visualizations into research presentations.

Module 9: Advanced Features of Atlas.ti

  • Exploring advanced features for team collaboration, mixed-methods analysis, and project management.
  • Integrating multimedia data and geospatial information.

Module 10: Ethical Considerations in Qualitative Research

  • Addressing ethical issues in qualitative research and data analysis.
  • Ensuring participant confidentiality and data privacy.

Module 11: Applying Qualitative Findings

  • Utilizing qualitative research outcomes to inform decision-making and policy recommendations.
  • Translating research insights into actionable strategies.

Module 12: Capstone Project and Certification

  • Applying Atlas.ti skills to a real-world qualitative research scenario.
  • Earning the course certification upon successful completion.

General Notes

  • All our courses can be Tailor-made to participants' needs
  • The participant must be conversant in English
  • Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.
  • Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)
  • Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule
  • Course duration is flexible and the contents can be modified to fit any number of days.
  • The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a buffet lunch, and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance, and other personal expenses.
  • Accommodation, pickup, freight booking, and Visa processing arrangement, are done on request, at discounted prices.
  • Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.
  • One-year free Consultation and Coaching provided after the course.
  • Register as a group of more than two and enjoy a discount of (10% to 50%)
  • Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.
  • For any inquiries reach us at training@fdc-k.org or +254712260031
  • Website:www.fdc-k.org

 

 

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