MIXED METHODS IN MAXQDA
Innovative Mixed Methods Features from the Mixed Methods Expert
Statistics & Graphics
Visualize your variables or code occurrences through statistical tables and charts.
Compare code frequencies and percentages for different variable values.
Identify and quantify coding patterns across multiple cases.
Compare coded segments by variable values by exporting the text into a table document.
Activate via Variable
Activate documents based on their variable values to quickly identify different groups.
Transform your codes into numerical or categorical document variables.
Statistics und Graphics
Create Frequency Tables and Diagrams with MAXQDA
With the help of the Statistics and Graphics module, MAXQDA can create frequency tables and charts which indicate the frequency of subcodes.
The colors and captions of your charts are editable and the result fits perfectly into your report or presentation.
Visualize and quantify relationships between variables and codes.
Compare the code frequencies of various groups with each other. Are female students participating more in training groups? Do male students read more text? The options to view the values as row or column percentages make the interpretation of the data even easier.
Easily identify and quantify coding patterns across multiple cases. Perfect for theory testing or developing.
The Quote Matrix is based on the same idea as the Crosstab, i.e. to create a joint display of themes and quantitative variables.
It does this on a more detailed, non-aggregated level. Here the coded segments themselves are listed in the cells of the matrix, not only the number of coded segments for that particular cell.
Activation by Document Variable
Retrieve results based on document variables.
Quickly identify those interviews that were recorded with women who live in New York City and look at what their opinion was on a certain topic. Of course you can save this group in a document set for later purposes.
Yet another way to combine quantitative data and your codes or categorical variables. Calculate various variables and their percentages (means, standard deviations, etc.) for qualitative typologies.
Categorical Variables – new functions for fans of mixed methods approaches and Mayrings structured content analysis.
Researchers that analyze their data with scaled content analysis processes can now create categorical variables from the code system: a code – which has subcodes that place text segments on a scale (e.g. a scale of how authoritarian the subject’s teaching style is) – can be transformed into a variable in just a few mouse clicks.
Every document in the project will then be assigned the appropriate value based on the subcode assigned most often in that document. This would allow you, for example, to use the automatic activation function to only activate those documents in your data set that contain interviews with teachers showing a highly authoritarian teaching style.
And the best part is that the categorical variables are dynamic; they automatically update as you keep coding.
Read more about categorical variables – Prof. Dr. Udo Kuckartz (2010): From Coding to Categorical Variables: The New MAXQDA Function “Transform into a Categorical Variable”
And More Mixed Methods Features…
Import and Export Variables to Excel Format (xls/xlsx)
Data matrices and the new code variables can now be imported and exported in Excel format. It is also possible to export the content of many MAXQDA windows in Excel format. These include: the list of variables, the overview of coded segments, the list of memos, the Code System, the word frequency results, the timestamp table, and search results. It is also possible to export your Code Matrix Browser and Code Relations Browser to Excel.