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.
Sociology Based Publications

Qualitative Data Analysis

Seidel, John V. (1998)

Qualis Research

This is an essay on the basic processes in qualitative and mixed methods data analysis (QDA). It serves two purposes. It is a simple introduction for the newcomer of QDA. QDA is a process of noticing, collecting and thinking about interesting things. The purpose of this model is to show that there is asimple foundation to the complex and rigorous practice of QDA. Once you grasp this foundation you can move in many different directions. The idea for this model came from a conversation with one of my former teachers, Professor Ray Cuzzort. Ray was teaching an undergraduate statistics course and wanted to boil down the complexity of statistics to a simple model. His solution was to tell the students that statistics was a symphony based on two notes: means and standard deviations. I liked the simplicity and elegance of his formulation and decided to try and come up with a similar idea for describing QDA. The result was the idea that QDA is a symphony based on three notes: Noticing, Collecting, and Thinkingabout interesting things. While there is great diversity in the practice of QDA I would argue that all forms of QDA are based on these three “notes.” The QDA process is not linear. When you do QDA you do not simply Notice, Collect, and then Think about things, and then write a report. Rather, the process has the following characteristics: -Iterative and Progressive: The process is iterative and progressive because it is a cycle that keeps repeating. For example, when you are thinking about things you also start noticing new things in the data. You then collect and think about these new things. In principle the process is an infinite spiral. -Recursive: The process is recursive because one part can call you back to a previous part. For example, while you are busy collecting things you might simultaneously start noticing new things to collect. -Holographic: The process is holographic in that each step in the process contains the entire process. For example, when you first notice things you are already mentally collecting and thinking about those things. Thus, while there is a simple foundation to QDA, the process of doing qualitative data analysis is complex. The key is to root yourself in this foundation and the rest will flow from this foundation.
Sociology Based Publications

The Integration of Fieldwork and Survey Methods

Sieber, Sam (1973)

American Journal of Sociology, 78(6): 1335-1359

A historical antagonism between the proponents of qualitative fieldwork and of survey research has prevented recognition of the benefits to be gained by employing both methods in the same study. Each method can be greatly strenthenedby appealing to the unique qualities of the other. Through examination of a number of cases in which the methods have been integrated, it is possible to discern important benefits is design, data collection, and analysis. In order tofully exploit the advantages of integration, however, adjustments in traditional procedures will have to be made, thereby yielding a new style of social research. Others citing this work make clear and strong arguments for the value of work emerging under the frame of 'mixed methods research.' As found in Christense, Robinson, and Simons, 2016 'The Application of Mixed Methods: using a Crossover Analysis Strategy for Product Developement in Real Estate,' 'Although the definition of mixed methods research still remains a contested area, most researchers agree that mixed methods research combines qualitative and quantitative data collection and data analysis within a single study (Johnson & Onwuegbuzie, 2004; Teddlie & Tashakkori, 2003) to better understand research problems by enabling breadth and depth of understanding and corroboration' (Johnson, Onwuegbuzie and Turner, 2007: 56). The mixed methods movement is gaining popularity in many disciplines (Patton, 1990; Tashakkori & Teddlie, 2003) and, emphasizing the value and advantages of mixed methods research, the integration of quantitative and qualitative research methods has been made in sociology (Sieber, 1973), education evaluation (Cook & Reichardt, 1979; Greene, Caracelli, & Graham, 1989; Rossman & Wilson, 1985), health sciences (O'Cathain, 2009), sustainable tourism (McGehee et al, 2013), and management and organizational research (Aguinis et al., 2010; Currall & Towler, 2003; Edmondson & McManus, 2007; Molina-Azorin, 2012). The rise in uptake may be due in part to the methodological pluralism, which frequently results in a better understanding of research problems than a mono-method design (Molina-Azorin, 2012). ABSTRACT: Increasingly, researchers are recognizing the benefits of expanding research designs to include both quantitative and qualitative methods to gain deeper insight into the reasons behind various research phenomena. Entrepreneurial development of market oriented products can benefit from the use of both methods to gain an understanding of complex issues influencing the development of new products. This research offers a philosophical argument for utilizing a mixed methods approach in the development of quantitative instruments and demonstrates how the use of a crossover analysis strategy expands the traditionally applied, linear decision process to improve both the fidelity and validity of market-driven products. The research then demonstrates how a mixed methods crossover analysis strategy enables both quantitative and qualitative data to iteratively inform the revisions, adaptation and development of a (quantitative) market-oriented product.
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