Open AccessMixed Methods Analysis and Information Visualization: Graphical Display for Effective Communication of Research Results
Author(s) -
Anthony J. Onwuegbuzie,
Wendy B. Dickinson
Publication year - 2015
Publication title -
the qualitative report
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 35
ISSN - 2160-3715
DOI - 10.46743/2160-3715/2008.1595
Subject(s) - computer science , visualization , taxonomy (biology) , data visualization , human–computer interaction , crossover , statistical graphics , representation (politics) , information visualization , data science , artificial intelligence , graphics , computer graphics (images) , botany , politics , political science , law , biology
In this paper, we introduce various graphical methods that can be used to represent data in mixed research. First, we present a broad taxonomy of visual representation. Next, we use this taxonomy to provide an overview of visual techniques for quantitative data display and qualitative data display. Then, we propose what we call “crossover” visual extensions to summarize and integrate both qualitative and quantitative results within the same framework. We provide several examples of crossover (mixed research) graphical displays that illustrate this natural extension. In so doing, we contend that the use of crossover (mixed research) graphical displays enhances researchers’ understanding (i.e., increased Verstehen) of social and behavioral phenomena in general and the meaning that underlies these phenomena in particular.