Susanne said, “When looking for example data, I came across an article on children and happiness written by Nattavudh Powdthavee in the journal The Psychologist. Nattavudh reports on several academic studies that repeatedly found a negative correlation between having children and levels of happiness, life satisfaction, marital satisfaction and mental well-being.

Since most people, regardless of their cultural background, religion or geographic location, will at some point ask themselves whether they want to have children, this topic promised to be of interest to many ATLAS.ti users.”

This sample project includes:

• Think having children will make you happy? by Nattavudh Powdthavee
• A blog post by Lisa Belkin about this article on the blog ‘Motherlode: Adventures in Parenting’
• Comments on Belkin’s post from the blog’s readers
• Comments on a New York Times Magazine article about Powdthavee’s article
• A document with some findings from ‘happiness’ research
• Fictional survey data from 24 respondents, including their reasons for having and for not having children and their socio-demographic characteristics
• An example import from referencing software Mendeley
• ATLAS.ti project files for Children & Happiness

This sample project is suitable for demonstrating and practicing the full range of ATLAS.ti functions, including coding, analysis, linking and building networks.

This is another example of a survey import. It is based on real data, found on the internet, which has been prepared so that the survey import feature can be used.

The data consists of reviews of the game Minecraft. Three groups of people – educators, parents and children/adolescents – playing the game give a summary assessment, followed by a lengthier explanation. Some of them also rate the game in terms of pedagogical value and give an age rating (the age from which they think the game is suitable for children to play).

This sample project includes:

• The raw data
• The coded version of the project

You can use this project to practice survey import, perform exploratory analysis with word clouds and word lists, test automatic coding, practice regular coding and try out the various advanced analysis tools.

The data for this project is taken from the TQRMUL dataset teaching resources. It consists of four interviews with undergraduate students on the subject of friendship.

Tanya Corker and Alasdair Gordon-Finlayson conducted the interviews in spring 2008 at Liverpool John Moores University, specifically for the purpose of making them available online as teaching resource. You will find the full user guide on the companion website (Forrester, 2010).

If you are interested in including the audio or video data from the interviews, they are available via the TQRMUL teaching resources at: https://www.heacademy.ac.uk/knowledge-hub/tqrmul-dataset-teaching-resources-user-guide.

This sample project includes:

• Interview transcripts
• Two ICA coded versions
• A version with the ICA codings merged
• Thematic analysis of the data

You can use this project to practice inter-coder agreement analysis.

This data set consists of three interviews with war veterans on their experience of war from the book Basics of Qualitative Data Analysis by Corbin and Strauss (2008). They use the data to demonstrate the various steps of a grounded theory analysis without using a CAQDAS package.

In this example project, Susanne shows how computer-assisted grounded theory analysis can be done. Several publications describe how Susanne conducted the analysis in ATLAS.ti, e.g. Friese, 2016a/b; Friese, 2019.

This sample project includes:

• The data without coding
• Projects that show the different phases if building a category system when coding
• A project that shows how to integrate findings, e.g. by using the network function

The projects show how open and axial coding can be implemented, and how comments, hyperlinks and memos can be used in the analysis process. Not all memos are filled with content, so there is room for your own further analysis.

This project contains some video data that Susanne recorded during a trip to Iceland. The data can be read like a travel diary.

There is no guiding research question unless you are interested in finding out how Susanne experienced the trip and which places to visit if you tour Iceland yourself one day.

This sample project includes:

• Iceland video data

The aim of the project is to illustrate how you can use ATLAS.ti to work with video and geo data.

• Focus group discussion (pattern 1)
• Focus group discussion (pattern 2)
• Focus group discussion (version 1)
• Focus group discussion (version 2)

The files provided consist of three different versions of an excerpt of a focus group transcript. In the different versions, the speaker IDs have been transcribed in different ways.

You can use this project to practice the automated coding function for focus group data and see the patterns in how ATLAS.ti recognizes speaker units.