ATLAS.ti 7 is a powerful analytical tool. Its individual analysis options are centrally organized and designed for maximum efficiency, accuracy, and performance. Cloud views provide very quick, accurate, and yet intuitive analytical access to your data material. The query tool, ccooccurence explorer and the codes-PD-table allow in-depth analysis.
Cloud Views for Codes and Documents
The list of codes can be displayed in various cloud views. You can display the cloud based on number of code usage or on number of linkages to other codes. The order can be arranged alphabetically or by frequency.
Code cloud view
Document cloud views can present the entire textual database or can be used for single documents. Below is an example that compares cloud views of four newspaper articles reporting on the Pussy Riot verdict.
Word Clouds comparing four newspaper articles
The Query Tool
Use the Query Tool to retrieve quotations using their associated codes. The simplest retrieval of this kind using the Code Manager is “search for quotations with codes.” Double-click on a code to retrieve all its quotations. This may be regarded as a query even if it is a simple one. The Query Tool can be used to create and process more complex queries that include combinations of codes.
A query is a search expression built from operands (codes and code families) and operators (e.g. NOT, AND, OR, etc.) that define the conditions a quotation must meet to be retrieved (e.g., all quotations coded with both codes A and B).
By selecting codes or code families and operators, a query can be built incrementally, instantaneously evaluated and displayed as a list of quotations. This incremental building of complex search queries gives you an exploratory approach for even the most complex queries.
The Query Tool window
The Query Tool has the following main components:
 The operator toolbar offering 14 different operators (Boolean, semantic and proximity operators)
[2 and 3] The list of code-families andcodes that can be used in queries.
 The term-stack pane in the upper right displays the stack of all expressions entered in the current query.
 The current query is displayed in the feedback pane.
 A result of a query in the query tool is always a list of quotations. These are displayed in the results list. From there you can also access the quotations in context or create an output via the output (printer) button.
Via the Scope button, code queries can be combined with variables. For example, you can ask questions like “Give me all quotations coded with positive attitude towards candidate XY from female respondents between the ages of 18 and 29.”
The Cooccurrence Explorer allows you to see codes that co-occur across all or just some selected primary documents. The result is a cross-tabulation of codes. It is often meaningful to apply filters for certain codes and documents in order to concentrate on a more specific set of concepts. The side panels in the code and document manager allow you to quickly prepare the kind of filters you need in order to produce the kind of tables you want.
As an example, below we look at one of the questions posed in the sample project. The aim is to find out how parents and non-parents respond to the question of “why or why not to have children.” In order to reduce the full set of codes, a code group (called code family in ATLAS.ti) was prepared so that it only contains the two attribute codes (#fam: has children and #fam: no children) plus all codes related to “reasons for having children” and “reasons for not having children”. This family is then set as filter.
In the code-cooccurence table the next step is to select the attribute codes as columns and all content codes as rows.
Selecting row and column codes
This results in the following table, providing a quick overview of where the differences are.
Settings: No color for table cell; use code color as header background
By clicking on the cells, you can access the qualitative data content behind it.
Accessing the qualitative information behind the numbers
The Codes-Primary-Documents Table
The Codes-PD-Table can provide an overview of code frequencies by documents, or can show code frequencies by document groups, code group frequencies by document, or document group.
An example below is based on a sample data set. It is a comparison of statements about the positive or negative effect of parenting across different groups. For this purpose of this exercise, two code families have been created. They group all codes that mark statements into positive and negative effects of parenting. These are selected in the upper section. They are then displayed as rows in the table.
The various groups for comparison are selected in the lower section of the tool.
Setting options for the Codes-Primary-Documents-Table
In the Excel table below, they are shown in the columns:
Formatted Excel output of a codes-primary-documents-table
The query tool allows to create document families based on the results of a code query. Thus, the next step is to go back to the query tool, enter a new query and save the results in the form of new document groups. That way you can iteratively run your next comparison using the Codes-PD-Table.
Thus, all ATLAS.ti’s analysis tools can be used in complimentary combinations for different purposes.