ATLAS.ti now has a cloud-based version.

• QDA Miner is a software that enable you to manually coding text and images, annotating, retrieving, and analyzing coded segments.
• It can handle large collections of documents and images
• Numerical, categorical, and date variables can also be associated with each case
• Codebooks consist of codes organized hierarchically
• Coding a document is simple. You just have to select the text segment that you would like to code
• Then drop the code on the highlighted segment.
• Code marks in the document margin indicate the location of a code
• Codes may also be assigned by double-clicking them
• Codes can overlap each other
• Notes and comments may also be attached to the code marks
• QDA Miner offers various tools to speed up the coding process
• It can search all documents for specific key words or key phrases
• And extract sentences, phrases and documents matching the search expression
• QDA Miner displays the search result in a table format.
• A code can be assigned to all retrieved segments by selecting it from this list box...
• And then by clicking this button
• One may also code a single segment by using this button.
• QDA Miner also offers other types of search tools like a powerful Query-by-Example and a Section Retrieval tool.
• Once the coding is complete, QDA Miner can retrieve all text segments associated with specific codes
• You can retrieve segments associated with one or several codes.
• One can also create complex search expressions and retrieve segments that overlap or that are in or near other codes.
• Segments are presented in a table format
• You may also display them in text format by clicking this button
• QDA Miner can perform various statistics on the coding. Let’s start with simple coding frequency.
• To chart this data, simply select the rows you would like to display...
• ...and click this button (graphics)
• Code segments associated with a chart section can be retrieved easily
• QDA Miner also allows one to examine the relationship between codes and values of numerical and categorical variables.
• Here we look at how often codes are associated with different candidates...
• ...and display graphically some of these differences.
• Another way to display the data graphically is using bubble charts.
• Bubble charts present frequencies using circles of different diameters
• Many features of this chart can be customized to highlight specific findings
• One can also retrieve specific text segments directly from bubble charts.
• Correspondence analysis provides a very useful way to identify relationships between codes and variables.
• Heatmaps are another useful visualization technique
• Relative frequencies are represented using brightness of colors.
• Columns and rows are clustered, allowing one to identify relationships between codes and subgroups of individuals.
• Coding retrieval may also be performed straight from the heatmap by selecting a cell region...
• ...and clicking the search button
• QDA Miner also offers tools to examine the co-occurrence of codes.
• Let’s find codes appearing near each other within a distance of 5 paragraphs or less
• The dendrogram shows clusters of codes that tend to appear near each other.
• You can search for these co-occurrences by selecting a cluster and clicking this button.
• Multidimensional scaling plots also represent graphically the co-occurrences of codes, either on 2-D or 3-D.
• The strength of relationships may also be displayed by clicking this button.
• Proximity plots are also very useful to examine codes that are associated with a specific code.
• To retrieve text segments associated with a specific pair of codes, select a code and click this button.
• The same tools may be used to analyze the similarity of cases, such as dendrograms, 2-D and 3-D multidimensional scaling plots and proximity plots.
• You may also access the underlying statistics.
• Tables may be printed or saved to disk.