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A N I NTRODUCTION TO QDA M INER:

A N I NTRODUCTION TO QDA M INER: 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

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A N I NTRODUCTION TO QDA M INER:

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  1. AN INTRODUCTION TO QDA MINER: orIS QDA MINER REALLY A BETTER SOLUTION FOR MIXED METHODS RESEARCH? By Normand Péladeau President Provalis Research Corp.

  2. MIXED METHODS INTRADITIONNAL 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 • Export code frequency matrix to file • Open statistical software • Import saved matrix • Run statistical analysis

  3. HOW DOES QDA MINER DIFFERS? • 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

  4. HOW DOES QDA MINER DIFFERS? • 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

  5. HOW DOES QDA MINER DIFFERS? • 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 • Integration of statistical toolsFrequencies and percentages, F-test, chi-square, correlation, clustering, multidimensional scaling, correspondence analysis.

  6. STATISTICS ON QUALITATIVE DATA

  7. STATISTICS ON QUALITATIVE DATA

  8. HOW DOES QDA MINER DIFFERS? • 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 • Integration of statistical toolsFrequencies and percentages, F-test, chi-square, correlation, clustering, multidimensional scaling, correspondence analysis.

  9. HOW DOES QDA MINER DIFFERS? • 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 • Integration of statistical toolsFrequencies and percentages, F-test, chi-square, correlation, clustering, multidimensional scaling, correspondence analysis. • Integration of other text analysis techniques • Within QDA Miner itself • With WordStat (a content analysis add-on)

  10. INTEGRATING TEXT ANALYSIS TECHNIQUES Mixed Methods Qualitative Analysis Content Analysis Text Mining Information Retrieval Computational Linguistic ANALYSIS OFNUMERICAL DATA Statistical Analysis ANALYSIS OFTEXTUAL DATA

  11. QUALITATIVE  CONTENT ANALYSIS One can use codings in QDA Miner to control what will be analyzed by WordStat

  12. QUALITATIVE  CONTENT ANALYSIS

  13. CONTENT ANALYSIS  QUALITATIVE One can use WordStat text-mining features or dictionaries to search and code segments in QDA Miner

  14. QUALITATIVE + INFORMATION RETRIEVAL Information Retrieval Models • Boolean search ( AND, OR, NOT ) • Similarity search

  15. QUERY BY EXAMPLES

  16. QUERY BY EXAMPLES

  17. QUERY BY EXAMPLES

  18. 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”

  19. 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 projectsThe Bubble Chart feature The Coding of GraphicsThe Query by Example The Report ManagerKeyword Retrieval features The Command LogAutomatic Document Classification The Code Sequences FeatureCoded text highlighting Segment Retrieval Techniques Click on any of the above links for self-running demos

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