Mixed Methods in Early Childhood Special Education Research: Purposes, Challenges, and Guidance

2019 ◽  
Vol 42 (1) ◽  
pp. 20-30
Author(s):  
Catherine Corr ◽  
Melinda R. Snodgrass ◽  
Jennifer C. Greene ◽  
Hedda Meadan ◽  
Rosa Milagros Santos

Mixed methods approaches to research are gaining popularity in the social sciences. Although these approaches may be unfamiliar to many in our field, they can uniquely contribute to and enhance early childhood special education (ECSE) research. The purpose of this article is to orient ECSE researchers to the field of mixed methods social inquiry. We offer two examples of mixed methods. We define mixed methods and how mental models and paradigms influence these efforts, including a discussion of the distinctive purposes for applying mixed methods. Finally, we identify challenges to determining rigor and quality of mixed methods research and offer preliminary guidance to mitigate these challenges. Throughout, we encourage integrating rigorous mixed methods into ECSE scholarship.

Author(s):  
Manfredi Valeriani ◽  
Vicki L. Plano Clark

This chapter examines mixed-methods research, which is an approach that involves the integration of quantitative and qualitative methods at one or more stages of a research study. The central idea behind mixed-methods research is that the intentional combination of numeric-based methods with narrative-based methods can best provide answers to some research questions. The ongoing attempts to construct a simple and common conceptualization of mixed-methods provide a good indicator of the status of mixed-methods itself. mixed-methods research has emerged as a formalized methodology well suited to addressing complex problems, and is currently applied throughout the social sciences and beyond. Nowadays, researchers interested in combining quantitative and qualitative methods can benefit from the growing knowledge about the epistemological foundations, essential considerations, and rigorous designs that have been advanced for mixed-methods research.


2019 ◽  
Vol 8 (4) ◽  
pp. 747-763
Author(s):  
Matthew C Ingram ◽  
Imke Harbers

AbstractMixed-methods designs, especially those in which case selection is regression-based, have become popular across the social sciences. In this paper, we highlight why tools from spatial analysis—which have largely been overlooked in the mixed-methods literature—can be used for case selection and be particularly fruitful for theory development. We discuss two tools for integrating quantitative and qualitative analysis: (1) spatial autocorrelation in the outcome of interest; and (2) spatial autocorrelation in the residuals of a regression model. The case selection strategies presented here enable scholars to systematically use geography to learn more about their data and select cases that help identify scope conditions, evaluate the appropriate unit or level of analysis, examine causal mechanisms, and uncover previously omitted variables.


2016 ◽  
Vol 11 (1) ◽  
pp. 59-76 ◽  
Author(s):  
Kai M. Thaler

The study of political and social violence and conflict has expanded in recent decades, concurrent with a rise in the use of mixed methods research (MMR) throughout the social sciences. This article examines how methods are best integrated in studies of violence and conflict, critically reviewing examples from previous prominent works and suggesting directions for future research. I explore the benefits of MMR for understanding structures, agency, and processes related to violence and conflict, and the opportunity MMR offers to influence a broader academic and policy audience. MMR can improve the accordance of theories and empirical studies with the complexities of social reality and enhance understanding of the causes, consequences, and potential remedies of violence and conflict.


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