Atlasti happiness project example3/24/2023 ![]() ![]() In the code-cooccurence table the next step is to select the attribute codes as columns and all content codes as rows.ĪTLAS.ti's full native PDF support lets you work with PDF files in their native layout, just the way you would expect it. In order to reduce the full set of codes, a code group (called code family in ATLAS.ti) was prepared that only contains the two attribute codes (#fam: has children and #fam: no children) and all codes related to “reasons for having children” and “reasons for not having children”. The aim was to find out how parents and non-parents respond to the question of why or why not having children. 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.Īs an example, below we look at one of the questions posed in the sample project. It is often meaningful to apply filters for certain codes and documents in order to concentrate on a more specific set of concepts. The result is a cross-tabulation of codes. The Cooccurrence Explorer allows to ask ATLAS.ti to show you codes that co-occur across all or selected primary documents. For example, you can ask questions like “Give me all quotations coded with positive attitude towards candidate XY from female respondents between age 18 and 29”. Via the Scope button, code queries can be combined with variables. 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. A result of a query in the query tool is always a list of quotations. The current query is displayed in the feedback pane. The term-stack pane in the upper right displays the stack of all expressions entered in the current query. The list of code-families and codes that can be used in queries. The operator toolbar offering 14 different operators (Boolean, semantic and proximity operators) The Query Tool has the following main components: This incremental building of complex search queries gives you an exploratory approach toward even the most complex queries. g., all quotations coded with both codes A and B).īy selecting codes or code families and operators, a query can be built incrementally which is instantaneously evaluated and displayed as a list of quotations. NOT, AND, OR, etc.) that define the conditions that a quotation must meet to be retrieved (e. The Query Tool is more complex in that it can be used to create and process queries that include combinations of codes.Ī query is a search expression built from operands (codes and code families) and operators (e. This may already be regarded as a query, although it is a simple one. The simplest retrieval of this kind (“search for quotations with codes”) is what you frequently do with the Code Manager: Double-clicking on a code retrieves all its quotations. The Query Tool is used for retrieving quotations using the codes with which are associated. ![]() Word Clouds comparing four newspaper articles The Query Tool ![]()
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