LINGUIST List 15.770

Thu Mar 4 2004

Software: Call for reviewers

Editor for this issue: Naomi Ogasawara <naomilinguistlist.org>


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  1. Terry Langendoen, Call for reviewers

Message 1: Call for reviewers

Date: 5 Mar 2004 02:15:49 -0000
From: Terry Langendoen <terrylinguistlist.org>
Subject: Call for reviewers

	
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
<terrylinguistlist.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 Format
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 v4.0
	
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 content
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. It
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
	 
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