Beyond quality and quantity
Representing empirical structures by embedded typologies
Bibliographic Data
| ID | 22167809 |
|---|---|
| Authors | Matthias Borgstede (0000-0003-1071-9038, University of Bamberg, corresponding author), Caroline Rau (0000-0003-0040-5246, University of Bamberg) |
| Year | 2023 |
| Volume | 8 |
| Publication date | 2023-02-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2023.1087908 |
| OpenAlex | W4319746371 |
| Language | EN |
| References cited | 29 |
In this article, we propose a new approach to the problem of integration in mixed methods research that builds on a representational understanding of empirical science. From this perspective, qualitative and quantitative modeling strategies constitute two different ways to represent empirical structures. Whereas qualitative representations focus on the construction of types from cases, quantitative representations focus on the construction of dimensions from variables. We argue that types and dimensions should be integrated within a joint representation of the data that equally acknowledges qualitative and quantitative aspects. We outline how the proposed representational framework can be used to embed qualitative types in quantitative dimensions using an empirical study on teachers’ epistemological beliefs
Cognitive science · Data science · Empirical research · Epistemology · Machine learning · Management science · Qualitative property · Qualitative research · Social science · Sociology · Computer Science · Data Visualization and Analytics · Engineering · Philosophy and History of Science · Psychology · Statistics Education and Methodologies · Artificial Intelligence
Selected philosophical writings.
The Sage Handbook of Qualitative Data Analysis
The origins of intelligence in children.
Measurement in Psychology
Three techniques for integrating data in mixed methods studies
Least squares quantization in PCM
LIII. On lines and planes of closest fit to systems of points in space
Die Wissensgrundlagen des eigenen Fachs verstehen – empirische Befunde zu den epistemologischen Orientierungen von Lehrkräften geisteswissenschaftlicher Fächer
Clarifying the concept of validity
Squaring the circle
The Comparative Method
Qualitative Analysis and Documentary Method
Configurational Comparative Methods
Mixed or merged? Integration as the real challenge for mixed methods
The Good, the Bad, and the Ugly in Mixed Methods Research and Design
Triangulation and Mixed Methods Designs
The Journal of Mixed Methods Research Starts a New Decade
Patterns of abduction
Research Design
Standards of Evidence in Qualitative Research
Triangulation and integration
| Citation velocity | historical |
|---|---|
| Highly cited | No |