Dedoose Publications


Dedoose has been field-tested and journal-proven by leading academic institutions and market researchers worldwide. Thousands of prominent researchers across the US and abroad have benefited from early versions of Dedoose in their qualitative and mixed methods work and have laid an outstanding publication and report trail along the way.

Education Based Publications

Mixing Qualitative and Quantitative Methods: Insights into Design and Analysis Issues

Lieber, Eli (2009)

Journal of Ethnographic and Qualitative Research, 3: 218-227

Discusses issues of design, sampling, and analysis in mixed methods research. Offers a model for conceptualizing a fully integrated design. Proposes and illustrates strategies for managing and dynamically integrating the qual and quant data to allow for efficient and multi-directional analysis. It is increasingly desirable to use multiple methods in research, but questions arise as to how best to design and analyze the data generated by mixed methods projects.
Education Based Publications

Lessons Learned for Teaching Mixed Research: A Framework for Novice Researchers

Onwuegbuzie, Anthony J. & Leech, Nancy L. (2009)

International Journal of Multiple Research Approaches, 3(1), 105-107

A concise description of key steps in the mixed research process. The authors further map this process onto issues/controversies in the use of mixed methods research and the challenges mixed methods researchers face.
Sociology Based Publications

Content Analysis of Words in Brief Descriptions: How Mothers and Fathers Describe their Children

Ryan, Gery, & Weisner, Thomas S. (1998)

V. de Munck and E. Sobo (Eds.), Using methods in the field. A practical introduction and casebook, pp. 57-68

Content analysis of parent descriptions of their children toward understanding parental perceptions and attitudes regarding their adolescent children. The data for this article comes from a follow-up survey in the Family Lifestyles Project - a 20-year long longitudinal study of conventional and non-conventional families in the United States.
Geography Based Publications

Testing Cognitive Ethnography: Mixed-Methods in Developing Indicators of Well-Being in Fishing Communities

Benjamin Blount, Steven Jacob, Priscilla Weeks, and Michael Jepson (2015)

Research was initiated in 2008 with the objective of developing social indicators for well-being of fishing communities. Initial steps included development and testing indicators for the concepts of dependence, gentrification, vulnerability, and resiliency in relation to nine fishing communities on the Texas Gulf Coast. Procedurally, a mixed methods design was employed, using quantitative analyses of large secondary data sets to rank coastal communities based on socioeconomic measures, and independently employing qualitative approaches to provide rankings of the nine communities. The two qualitative approaches, an informed expert description of the communities, and cognitive-based interviews in the same communities each produced rankings almost identical with each other and with the quantitative rankings. Three types of analyses yielded similar results, indicating that cognitive ethnography can be a valuable tool in the description of community resilience, vulnerability, and well-being.
Sociology Based Publications

Using Consensus Analysis to Measure Cultural Diversity in Organizations and Social Movements

Caulkins, Douglas & Hyatt, Susan B. (1999)

Field Methods, 11(1): 55-26

Introduces consensus analysis as useful technique for analyzing structured interview data and producing results that: a) measure the degree of agreement amont informants, b) identify "culturally correct" information, and c) assign scores for each informant on how knowledgeble they are with respect to the "correct" response.
Education Based Publications

Doing Qualitative Research - A Comprehensive Guide

Silverman, David & Marvasti, Amir (2008)

Sage Publications

Research students still lack a singly authored, hands-on, practical guide to the business of doing qualitative research, writing it up, and making use of it. This is what this book sets out to do. Much more than other methodology tens, it aims to teach the skills of qualitative research in the context of the practical problems that face the novice researcher. To this end, it combines telling examples of students' experiences in the field, case studies of relevant qualitative research, summaries of key skills, and exercises to test your knowledge.
Education Based Publications

Logistic Regression

Garson, G. David (2008)

Overview and how-to guide for specifying and interpreting the results of logistic regression. Logistic regression can be used to predict a dependent variable on the basis of continuous and/or categorical independents and to determine the percent of variance in the dependent variable • explained by the independents; to rank the relative importance of independents; to assess interaction effects; and to understand the impact of covariate control variables. Logistic regression applies maximum likelihood estimation after transforming the dependent into a logit variable (the natural log of the odds of the dependent occurring or not). In this way, logistic regression estimates the probability of a certain event occurring. Note that logistic regression calculates changes in the log odds of the dependent, not changes in the dependent itself as OLS regression does.
Education Based Publications

Mixing Qualitative and Quantitative Research in Developmental Science: Uses and ,Methodological Choices

Yoshikawa, H., Weisner, T. S., Kalil, A., & Way, N. (2008)

Developmental Psychology, 44(2): 344-354

Describes and discusses choices for using mixed methods from a practical perspective and discusses common pitfalls and how to aviod them. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of “when” and “how.”
Education Based Publications

Pragmatism and the Choice of Research Strategy

Tashakkori, Abbas & Teddlie, Charles (1998)

A. Tashakkori & C. Teddlie, Mixed Methodology: Combining Qualitative and Quantitative Approaches, pp. 3-19.

Introduces and traces the history of the methodological paradigm wars and brings readers up to the state of affairs (albeit, 1998). Discuss the ‘warring’ positions and the evolution of thinking regarding pragmatism and the development of mixed methods approaches to social science research.
Education Based Publications

Distinguishing the Trees from the Forest: Applying Cluster Analysis to Thematic Qualitative Data

Guest, Greg & McLellan, Eleanor (2003)

Field Methods, 15(2): 186-201

Qualitative data analysis requires organizing and synthesizing often large quantities of text. In many cases, this analysis entails negotiating the interplay between raw data, semantic themes or codes, and the overarching conceptual framework. In this article, the authors use a case study, which examines HIV vaccine efficacy trial participants' discourse, to demonstrate how cluster analysis can be used to aid in the analysis of large qualitative data sets. After briefly reviewing the systematic approaches to qualitative analysis and describing the project background, the authors present an example of how a hierarchical cluster technique can be incorporated into a multistage thematic analysis. Cited by Macia In this article I discuss cluster analysis as an exploratory tool to support the identification of associations within qualitative data. While not appropriate for all qualitative projects, cluster analysis can be particularly helpful in identifying patterns where numerous cases are studied. I use as illustration a research project on Latino grievances to offer a detailed explanation of the main steps in cluster analysis, providing specific considerations for its use with qualitative data. I specifically describe the issues of data transformation, the choice of clustering methods and similarity measures, the identification of a cluster solution, and the interpretation of the data in a qualitative context. Keywords: Cluster Analysis, Qualitative Analysis, Data Exploration, Mixed
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