Photo by Stefan Els
Reflections on using ATLAS.ti for data analysis: Strengths and limitations
Arts and Social Sciences | EyeAthsi neNzululwazi ngeNtlalo | Lettere en Sosiale Wetenskappe
WHO AM I
AIM OF THE PRESENTATION
TO DEMONSTRATE BRIEFLY HOW I UTILISED ATLAS.TI
TO SHARE SOME OF THE LESSONS I LEARNED
OFFER FOOD FOR THOUGHT
WHAT IS ATLAS.TI?
for larger bodies of textual, graphical,
audio, and video data
focused on the analysed materials
SIX STEPS �OF �THEMATIC DATA ANALYSIS��(Braun & Clarke, 2006)
Familiarising yourself with your data
Generating initial codes
Searching for themes
Reviewing themes
Defining and naming themes
Producing the report
��ATLAS.ti: STRENGTHS
Useful for coding and management of the data
Increases research credibility and transparency of the data analysis process
It assist with storing, organising, and categorising data creatively
It offers a systematic approach to analysing unstructured data, while maintaining focus on the analysed materials
Extract, compare, explore, and reassemble meaningful pieces from large amounts of data in systematic way
It enables you to select and reuse existing codes with similar text when reviewing the data
ATLAS.ti: LIMITATIONS
�����TAKEAWAY MESSAGE “PADKOS”
It is user friendly
It is accessible
It saves times
It assist with data storing, organising and analysing data creatively
Thank you�