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Software Details

Title: Call for reviewers
Submitter: Terry Langendoen
Description: The LINGUIST List is soliciting reviewers for two software packages:

1. the Versioning Machine software described in http://linguistlist.org/issues/15/15-628.html

2. the QDA Miner and Wordstat software described below.

If you are interested please send a message to Terry Langendoen <terry@linguistlist.org> briefly indicating which package you're interested in reviewing, and your qualifications for preparing the review.

QDA Miner v1.0

QDA Miner is an easy-to-use qualitative data analysis software package for coding textual data, annotating, retrieving and reviewing coded data and documents. The program can manage complex projects involving large numbers of documents combined with numerical and categorical information. QDA Miner also provides a wide range of exploratory tools
to identify patterns in coding and relationships between assigned codes and other numerical or categorical properties (coding sequence analysis, codes co-occurrence analysis, clustering, 2D and 3D multidimensional scaling plots, proximity plots, correspondence analysis, heatmaps, etc.). Documents are stored in Rich-Text Forma
and support font and paragraph formatting, graphics and tables. Documents may be edited at any time without affecting existing coding.

QDA Miner can import and export documents, data and results in numerous file formats (MS Word, WordPerfect, RTF, HTML, MS Access, Excel, Paradox, dBase, etc.). It also provides unique integration with advanced quantitative content analysis, text mining (WordStat) and
statistical analysis (Simstat) tools allowing an easy combination and integration of qualitative and quantitative methods.
For more information see: http://www.simstat.com/QDAMiner.htm


WordStat is a text analysis module specifically designed to study textual information such as responses to open-ended questions, interviews, titles, journal articles, public speeches, electronic communications, etc. WordStat may be usedfor automatic categorization
of text using a dictionary approach or various text mining as well as for manual coding. WordStat can apply existing categorization dictionaries to a new text corpus. It also may be used in the development and validation of new categorization dictionaries. When
used in conjunction with manual coding, this module can provide assistance for a more systematic application of coding rules, help uncover differences in word usage between subgroups of individuals, assist in the revision of existing coding using KWIC
(Keyword-In-Context) tables, and assess the reliability of coding by the computation of inter-raters agreement statistics.

WordStat includes numerous exploratory data analysis and graphical tools that may be used to explore the relationship between the conten of documents and information stored in categorical or numeric variables such as the gender or the age of the respondent, year of
publication, etc. Relationships among words or categories as well as document similarity may be identified using hierarchical clustering and multidimensional scaling analysis. Correspondence analysis and heatmap plots may be used to explore relationship between keywords and different groups of individuals.

WordStat is a module that must be run from either of the following base products:

SimStat -This statistical software provides a wide range of statistical procedures for the analysis of quantitative data. I offers advanced data file management tools such as the ability to merge data files, aggregate cases, perform complex computation of new
variables and transformation of existing ones. When used with Simstat, WordStat can analyze textual information stored in any alphanumeric, plain text and rich text memo variable (or field). It includes various tools to explore the relationship between any numeric variable of a data file and the content of alphanumeric ones.

QDA Miner - The text management and qualitative data analysis program (see above)

For more information see: http://www.simstat.com/wordstat.htm
Linguistic Field(s): Computational Linguistics
Text/Corpus Linguistics

LL Issue: 15.770
Date Posted: 04-Mar-2004

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