Explore and Gain Insights with the Quotation Explorer in ATLAS.ti Cloud
Written by: Dr. Neringa Kalpokaite & Ivana Radivojevic
ATLAS.ti Cloud is the fully web-based version of the powerful qualitative data analysis software. All you need is a computer with an Internet connection, and you can continue working on your project from anywhere in the world. In this best practice article, we will present some of the newest updates to the quotation explorer and visualization tools, and we will share practical tips for taking full advantage of ATLAS.ti Cloud.
What is the quotation explorer?
The quotation explorer is a dedicated space in ATLAS.ti Cloud where you can examine all of the quotations in your project. A quotation is a segment of data that you have selected, and you can associate codes to quotations to capture your analysis and organize all your rich, qualitative data. By clicking on the quotation icon in the left-hand panel (or typing g + q on your keyboard), you will access the quotation explorer page. You can view all your quotations, their associated codes, any comments you wrote, and you can query your data by applying a variety of flexible filters.
How can I use the quotation explorer?
The quotation explorer displays your quotations on the right-hand side, and you can see a visual overview of your coded data and saved filter views on the left-hand side. All of the quotations in your project are already shown, and if you want to see the quotations associated with a particular code, you can simply click on that code in the bar chart on the left-hand side (click on a code again to deselect it). You can also select multiple codes and see all of the associated quotations (the total number of quotations shown is listed at the top of the quotations list). Quotations are shown in alphabetical order by default, but you can also choose if you want to have them ordered by comment, document name, number of codes, creation date, or last update.
Besides being able to view quotations associated to any of your codes, you can also query the data by applying filter rules. To create a new filter view, click on the “+ New filter view” button at the bottom of the left-hand panel. This opens a new bar chart which will show all of the quotations in your project. Click on the “+ Add filter” button at the top of the chart to start applying filter rules.
You can apply a variety of filters, based on the content of quotations, which document (or document group) they come from, which code(s) (or code group) are associated, the comments that are written, or who created the quotations. Therefore, you can choose to search for quotations based on the actual text inside the quotations. If you want to focus on the source(s) of the quotations, filter by document(s) or document group(s). If you want to search for quotations associated with certain codes, filter by code(s) or code group(s). If you have written comments on your quotations, and you want to search for quotations according to the comments you wrote, you can filter by comments. If you are working in a team, you can easily view the quotations of each person by filtering by creator. Remember, you can apply as many filter rules as you want! Click on the “Save” button to apply the filter to the bar chart.
On the right-hand side, you will see all of the quotations that fit your filter rules. The bar chart provides an overview of the codes that fit your filter view as well as how many quotations are associated with those codes. Again, you can view quotations associated with particular codes by clicking on them in the bar chart. You can write a title for your filter view, and there is also a comment space where you can describe your filter view as well as write down your own reflections regarding your data. On the left-hand side, you can edit any of your already saved filters by clicking on the filter button to view or change the filter rules, and you can rename, duplicate, or delete any filter view by clicking on the button with three dots.
One of the great strengths of the quotation explorer is its interactivity: you can continue analyzing and coding your data, and the quotation explorer will automatically update the quotations in your saved filter views. You can also download Excel reports of your coded data by clicking on the download button in the top right-hand corner: this will generate a report that includes the selected quotations along with their documents, codes, and comments. That way, you can easily keep track of your developing insights.
Wrapping it up
The full power of the qualitative data analysis always remains in your hand, which is why the central power of ATLAS.ti Cloud lies in the ability to create quotations – relevant segments of data that you have identified. You can then elaborate your analysis of these quotations by associating codes and writing comments. With the interactive and visual quotation explorer, capturing and tracking your developing insights is easier than ever.
Kalpokaite, N., & Radivojevic, I. (2019). Best Practice Article: Explore and Gain Insights with the Quotation Explorer in ATLAS.ti Cloud. Retrieved from https://atlasti.com/2019/10/01/explore-and-gain-insights-with-the-quotation-explorer-in-atlas-ti-cloud/
About the authors:
Dr. Neringa Kalpokaite has dedicated her professional career to qualitative methodology. From her doctoral thesis for which she received the cum laude award in the Complutense University of Madrid to working as a visiting researcher at Harvard University, all of her research projects have been qualitative and carried out with ATLAS.ti. During her 15 years of professional work, she has published numerous articles in a variety of high-impact journals, she has given over 450 trainings, and she has helped over 8,500 people carry out qualitative research. In addition to leading the Europe Team of ATLAS.ti and being the CEO of NkQualitas, she is also a member of the Editorial Advisory Board of the Journal of New Approaches in Educational Research and a professor at the international IE University. Following students’ demand for more rigorous training in qualitative research, she pioneered and taught the qualitative research and ATLAS.ti course at IE University. She continually participates in international conferences to continue sharing knowledge, and she is part of a team of reviewers of articles from high-impact journals. She has repeatedly received awards for excellent teaching in qualitative research. She has also received several research grants from the Ministry of Foreign Affairs and International Cooperation, the Government of Lithuania, and Harvard University. Her latest publications include “Demystifying Qualitative Data Analysis for Novice Qualitative Researchers“, “Teaching qualitative data analysis software online: A comparison of face-to-face and e-learning ATLAS.ti courses“, and “Leading a successful transition to democracy: A qualitative analysis of political leadership in Spain and Lithuania“.
Ivana Radivojevic, a former student of Dr. Neringa Kalpokaite’s Qualitative Research course, is passionate about qualitative research and ATLAS.ti. After finishing her training, she was invited to join Neringa’s NkQualitas team and has been participating in numerous qualitative research projects since 2015, resulting in multiple publications in high-impact journals. She is currently the Project Coordinator of ATLAS.ti and is a Senior Professional Trainer. She has given numerous courses, including over 250 webinars, and she has helped over 3,000 people learn to use ATLAS.ti and conduct qualitative research. She continually participates in international conferences to learn and share knowledge with the scientific community. Her latest publications include “Demystifying Qualitative Data Analysis for Novice Qualitative Researchers“, “Teaching qualitative data analysis software online: A comparison of face-to-face and e-learning ATLAS.ti courses“, and “Leading a successful transition to democracy: A qualitative analysis of political leadership in Spain and Lithuania“.