Transcript Test Message - Provalis Research

AN INTRODUCTION TO QDA MINER:
or
IS QDA MINER REALLY A BETTER SOLUTION
FOR MIXED METHODS RESEARCH?
By
Normand Péladeau
President
Provalis Research Corp.
MIXED METHODS IN
TRADITIONNAL CAQDAS
Integration of numerical data
• Inclusion of socio-demographic data, responses to
closed-ended questions, etc.
• Limited ability to perform comparisons & no statistics
Performing statistics on/with qualitative data
1) Export code frequency matrix to file
2) Open statistical software
3) Import saved matrix
4) Run statistical analysis
HOW DOES QDA MINER DIFFERS?
1) Same file format as SimStat (a stat software)
and full interoperability between the two.
Ability to keep numerical, categorical data, dates and text data in a single data file
HOW DOES QDA MINER DIFFERS?
1) Same file format as SimStat (a stat software)
and full interoperability between the two.
Ability to keep numerical, categorical data, dates and text data in a single data file
HOW DOES QDA MINER DIFFERS?
1) Same file format as SimStat (a stat software)
and full interoperability between the two.
Ability to keep numerical, categorical data, dates and text data in a single data file
2) Integration of statistical tools
Frequencies and percentages, F-test, chi-square, correlation,
clustering, multidimensional scaling, correspondence analysis.
STATISTICS ON QUALITATIVE DATA
STATISTICS ON QUALITATIVE DATA
HOW DOES QDA MINER DIFFERS?
1) Same file format as SimStat (a stat software)
and full interoperability between the two.
Ability to keep numerical, categorical data, dates and text data in a single data file
2) Integration of statistical tools
Frequencies and percentages, F-test, chi-square, correlation,
clustering, multidimensional scaling, correspondence analysis.
HOW DOES QDA MINER DIFFERS?
1) Same file format as SimStat (a stat software)
and full interoperability between the two.
Ability to keep numerical, categorical data, dates and text data in a single data file
2) Integration of statistical tools
Frequencies and percentages, F-test, chi-square, correlation,
clustering, multidimensional scaling, correspondence analysis.
3) Integration of other text analysis techniques
• Within QDA Miner itself
• With WordStat (a content analysis add-on)
INTEGRATING TEXT ANALYSIS
TECHNIQUES
ANALYSIS OF
NUMERICAL DATA
Statistical Analysis
Mixed Methods
ANALYSIS OF
TEXTUAL DATA
Qualitative Analysis
Content Analysis
Text Mining
Information Retrieval
Computational Linguistic
QUALITATIVE  CONTENT ANALYSIS
One can use codings in QDA Miner to control what will be analyzed by WordStat
QUALITATIVE  CONTENT ANALYSIS
CONTENT ANALYSIS  QUALITATIVE
One can use WordStat text-mining features or dictionaries to search and code segments in QDA Miner
QUALITATIVE + INFORMATION
RETRIEVAL
Information Retrieval Models
• Boolean search ( AND, OR, NOT )
• Similarity search
QUERY BY EXAMPLES
QUERY BY EXAMPLES
QUERY BY EXAMPLES
QUERY BY EXAMPLES
• Relevance feedback mechanism
• Fuzzy string matching
Resistant to misspelling
Matches related words
Ex.: “resistant to misspelling”
“resistent to mispeling”
“resist to misspelled words”
“resist to words not correctly spelled”
ADDITIONAL LEARNING RESOURCES
General Introduction
10 minutes tour of QDA Miner 3.2
10 minutes tour of WordStat 5.0
Specific Features of QDA Miner
Importing NVivo projects
The Bubble Chart feature
The Coding of Graphics
The Query by Example
The Report Manager
Keyword Retrieval features
The Command Log
Automatic Document Classification
The Code Sequences Feature
Coded text highlighting
Segment Retrieval Techniques
Click on any of the above links for self-running demos