Italy, Florence

Qualitative Data Analysis Using QDA Miner and Wordstat for Stata

when 22 June 2016 - 24 June 2016
language English
duration 1 week

Today researchers across a wide variety of fields find themselves having to analyze an increasing amount of qualitative information. The objective of this workshop therefore, is to offer participants an introduction to the requisite tools required for the successful planning, conducting and reporting of qualitative data analysis. To this end, an overview of the following approaches: quantitative analysis, quantitative content analysis and text mining, to text analysis is provided. The opening sessions focus on the fundamental role of data preparation to the analysis, before moving on to identifying themes and correlations using both text mining and content analysis. The final session addresses the more advanced topics of importing and exporting data, together with document classification. In common with TStat’s training philosophy, the workshop takes a hands-on approach to quantitative data analysis. Implementation of the methodologies discussed being illustrated using the scientific software QDA Miner, WordStat and WordStat for Stata.
WordStat is a flexible and easy-to-use text analysis software – whether you need text, mining tools for fast extraction of themes and trends, or careful and precise measurement with state-of-the-art quantitative content analysis tools. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata - the comprehensive statistical software from StataCorp, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.

Course leader

Normand Peladeau, Provalis Research

Target group

The Workshop is aimed at: i) academic researchers, evaluators, policy advisers, social workers, educators and students working in economics, public health, sociology, psychology and political science; ii) data mining and market research analysts based in the automotive, market research, logistics or transportation, telecommunications sectors, needing to analyze comments from surveys, blogs, websites, social media platforms and other textual format sources; iii) insurance analysts needing to analyze and categorize claims from customers; iv) researches based in pharmaceutical companies and medical research laboratories required to analyze healthcare reports, notes from medical doctors, interviews and/or focus groups with patients.

Fee info

EUR 0: Academic fee. Sales Taxes of 22% to be applied (when applicable)

ask us for Student registration fee.
EUR 0: NON-Academic fee. Sales Taxes of 22% to be applied (when applicable)