Introduction to CoLoop Training

Harness the CoLoop AI Co-Pilot for qualitative analysis

Unlock the power of CoLoop and transform your qualitative data analysis. This course provides a tailored introduction to CoLoop, designed to equip you with the skills and knowledge to analyse your data like an expert.

Course Overview:

This hands-on workshop guides you through the essential functionalities of CoLoop, focusing on practical application and real-world scenarios. We go beyond basic software operation, emphasising analytical planning and the Five-Level QDA principles to maximise your research impact. You'll learn to set up projects, code, retrieve, and visualise data, tailored to your specific research needs.

Learning Outcomes:

Understand CoLoop's Structure: Grasp the architecture and application of CoLoop throughout your research project.
Navigate and Operate CoLoop: Gain proficiency in using the software for effective qualitative analysis.
Master Analytic Planning: Recognise the importance of strategic planning using the Five-Level QDA method.
Project Setup and Adaptation: Learn to create and modify CoLoop projects to reflect evolving research designs.
Tool Identification: Identify and apply specific CoLoop tools for various analytical tasks.
Resource Access: Know where to find ongoing support and resources for continued CoLoop proficiency.

Course Content Highlights:

Contextual Discussions: Explore developmental, methodological, and analytical principles.
Software Overview: Familiarise yourself with the interface, architecture, components, actions, and tools.
Analytic Planning: Learn the Five-Level QDA method for powerful CoLoop utilization.
Guided Instruction: Receive step-by-step guidance on CoLoop operation and tool application.
Individual Support: Benefit from personalized discussions with the tutor about your projects.
Practical Applications:
- Project setup and data import.
- Automated and manual coding techniques.
- Data organization using document and smart groups.
- Data retrieval and visualization (networks, diagrams, colour maps).
- Analysis of survey, visual, and social media data.
- Pattern and relationship identification (queries, co-occurrence tables).
- Collaborative analysis in team environments.

Tailored Learning Experience:

We prioritise your specific needs and research goals. Our courses are not mechanical; they are dynamic and adaptable. We encourage participants to utilise their own research material for a more relevant learning experience.

Prerequisites:

Basic familiarity with qualitative research principles is recommended.
Completion of a pre-workshop questionnaire is required to tailor the course to your needs.

Target Audience:

Research teams and institutions.
Graduate programs.
Individual researchers and students seeking one-on-one support.

Course Schedule:

Flexible one or two-day sessions, customized to your requirements.
Content tailored based on participant needs and project specifics.

Format and Documentation:

Hands-on workshops with demonstrations, discussions, and practical exercises.
Comprehensive slide decks, reading lists, and supporting resources.
Personalised support based on pre-workshop questionnaires.