Qualitative Data Analysis using QDA Miner and WordStat for Stata

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.

The Workshop is aimed at:

Academic researchers, evaluators, policy advisers, social workers, educators and students working in economics, public health, sociology, psychology and political science;

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;

Insurance analysts needing to analyze and categorize claims from customers;

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.

We are currently putting the finishing touches to our 2020 training portfolio. Schedule dates for the current year, will therefore be available in due course.
Should you be interested in receiving notification regarding course dates for 2020, please contact us at training@tstat.eu.

THREE APPROACHES TO TEXT ANALYSIS 

Qualitative Analysis

Quantitative Content Analysis

Text Mining

QDA MINER

Introduction and project management

Creating a new project from documents

Creating a new project from database or spreadsheets

Manipulating variables and cases

Codebook management and coding

Basic text retrieval and autocoding tools

WORDSTAT & WORDSTAT FOR STATA

Running WordStat from Stata and from QDA Miner

Content Analysis or Text Mining

Analyzing words without dictionaries – a text mining approach

Content Analysis – Principles of dictionary construction

Importing and exporting data

Introduction to automatic document classification

Geocoding & Mapping features