Mixed Data Analysis Techniques: A Comprehensive Step-by-Step Approach (Day 1 of 2)

Session Submission Type: Professional Development Course

Abstract

The purpose of this interactive two-day course is to provide a step-by-step guide for selecting and ‎applying quantitative, qualitative, and mixed data-analytic techniques. This interactive session, for ‎new and seasoned researchers, will provide frameworks and heuristics for selecting and applying ‎data-analytic techniques and validating, interpreting, and reporting results of mixed research ‎studies. Presenters also will provide published examples and illustrate applications of statistical ‎software (e.g., SPSS, SAS), qualitative software (e.g., NVIVO), and mixed research software (e.g., QDA ‎Miner) that integrate a variety of text analysis and statistical techniques. Finally, the presenters will ‎provide an array of publishing tips and approaches for applying evidenced-based standards and ‎guidelines when reporting results and writing the mixed research article.‎

Sub Unit

• Professional Development and Training Committee

Directors

• Anthony J. Onwuegbuzie, Sam Houston State University

• Kathleen M.T Collins, University of Arkansas

Instructor

• Normand Peladeau, Provalis Research