ATLAS.ti - Online Resources

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Student Resources

1. Illustrations from the Book
2. Case Study Sample Data
   • Case Study A – Young People’s Perspectives
   • Case Study B – The Financial Downturn
   • Case Study C – Coca Cola Commercials
3. Step-by-Step Software Guides
   • ATLAS.ti
     • Chapter 5 – Getting Started
     • Chapter 6 – Exploration and Data-level Work
     • Chapters 7, 8 & 9 – Coding
     • Chapters 10,11 & 13 - Mapping, Managing Interpretations and Interrogation
   • Dedoose
     • Chapter 4 & 5 – Data Preparation & Getting Started (Dedoose)
     • Chapter 6 – Working at Data Level (Dedoose)
     • Chapters 7,8 & 9 – Coding (Dedoose)
     • Chapter 10 – Managing Interpretations (Dedoose)
     • Chapter 12 - Organization of Data (Dedoose)
     • Chapter 13 – Interrogating the Dataset (Dedoose)
   • HyperRESEARCH
     • Chapters 4 & 5 – Data Preparation and Getting Started in the Software (HyperResearch)
     • Chapter 6 – Working at Data Level (HyperResearch)
     • Chapter 7 – Coding (HyperResearch)
     • Chapter 8 – Retrieving Coded Data (HyperResearch)
     • Chapter 9 – Coding Schemes (HyperResearch)
     • Chapter 10 – Managing Processes and Interpretations through Writing (HyperResearch)
     • Chapter 11 – Mapping Tools (HyperResearch)
     • Chapter 12 – Organizing Data for Interrogation (HyperResearch)
     • Chapter 13 – Interrogating Data (HyperResearch)
   • MAXQDA
     • Chapter 5 – Getting Started (MAXQDA)
     • Chapter 6 – Working at Data Level (MAXQDA)
     • Chapter 7 – Coding (MAXQDA)
     • Chapter 8 – Retrieval of Coded Data (MAXQDA)
     • Chapter 9 – Coding Schemes (MAXQDA)
     • Chapter 10 – Managing Interpretations (MAXQDA)
     • Chapter 11 – Mapping (MAXQDA)
     • Chapter 12 – Organizing Data (MAXQDA)
     • Chapter 13 – Interrogating Data (MAXQDA)
   • NVivo
     • Chapter 5 – Getting Started (NVivo)
     • Chapter 6 – Working at Data Level (NVIVO)
     • Chapter 7 - Coding (NVIVO)
     • Chapter 8 – Coded Retrieval (NVIVO)
     • Chapter 9 – Working with Coding Schemes (NVivo)
     • Chapter 10 – Managing Interpretations (NVivo)
     • Chapter 11 – Mapping (Nvivo)
     • Chapter 12 – Organizing Data (NVivo)
     • Chapter 13 – Interrogating Data (NVivo)
   • QDA Miner
     • Chapter 5 (QDA Miner)
     • Chapter 6 - Working at Data Level (QDA Miner)
     • Chapters 7, 8 & 9 – Coding (QDA Miner)
     • Chapter 10 – Managing Interpretations (QDA Miner)
     • Chapter 12 – Organizing data to known characteristics (QDA Miner)
     • Chapter 13 – Interrogation (QDA Miner)
   • Transana
     • Chapter 5 – Getting Started (TRANSANA)
     • Chapter 7 – Coding (TRANSANA)
     • Chapter 8 – Retrieval (TRANSANA)
     • Chapter 10 – Managing Interpretations through Writing (TRANSANA)
     • Chapter 13 – Interrogating Data (TRANSANA)
ATLAS.ti

We thank Susanne Friese of Scientific Software and QUARC for contributing to these companion website pages.

ATLAS.ti  provides a flexible range of different ways to handle the analysis of qualitative data - good coding tools and other ways to connect ‘quotations’, memoing, data organisation, in-context retrieval, interrogation and mapping functions are applicable to  multiple media of data. Get started

Getting started in ATLAS.ti.  As you will see in the subsequent pages – there are various types of data which can be imported and some of them are auto-processed as they are imported.

• You can create an empty project and later import multiple media data types
• You can import a spreadsheet of mixed quantitative and qualitative data and the software auto-processes the information on import.

These pages are followed by other tasks of data import, data preparation, organisation, coding and analysis.

As with other ATLAS.ti step by step options written by Susanne Friese she has oriented exercises around the case study B data (Financial Downturn). She  provides a selection of ideas for analytic actions using focus group data and survey data from a spread sheet.   Note that once you are working in a software ‘project’ there is no clear linearity or set sequence in the way things have to be achieved and consequently chapter references do not always appear in numerical order. See downloadable working projects and data

In Chapter 5 to help get you started, we talk about productive things you can do in the early stages of setting up a ‘project’ in software. Experimenting with these processes where relevant in your chosen software will help to become familiar with useful entities in the software.We keep the subject matter of other chapters in mind as the step by step tasks in these pages get deeper into the interpretive and interrogation processes of analysing different media. Varied approaches to qualitative data analysis inform how we discuss the functions of software. Get Started!

http://www.atlasti.com/

If you need further tutorial support, visit: http://www.atlasti.com/supportmain.htm