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.
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What Good is Polarizing Research into Qualitative and Quantitative?
Ercikan, Kadriye & Roth, Wolff-Michael (2006)
Educational Researcher, 352(5), 12-23
The authors argue against a polarization between qualitative and quantitative methods and the associated polarization between “subjective” and “objective” evidence. In doing so, they encourage an understanding of the meaninglessness of such a distinction and the value of taking a more integrated approach. Finally, they map a more “continuous” perspective to addressing the needs of a particular research question and the study design and methodological decisions that follow.
What Good is Polarizing Research into Qualitative and Quantitative?
Ercikan, Kadriye & Roth, Wolff-Michael (2006)
Educational Researcher, 352(5), 12-23
The authors argue against a polarization between qualitative and quantitative methods and the associated polarization between “subjective” and “objective” evidence. In doing so, they encourage an understanding of the meaninglessness of such a distinction and the value of taking a more integrated approach. Finally, they map a more “continuous” perspective to addressing the needs of a particular research question and the study design and methodological decisions that follow.
Logistic Regression
Garson, G. David (2008)
www2.chass.ncsu.edu/garson?PA765/logistic.htm
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.
Unpackaging Cultural Effects on Classroom Learning: Hawaiian Peer Assistance and Child-Generated Activity
Weisner, T. S., Gallimore, R., & Jordan, C. (1988)
Anthropology and Education Quarterly, 19: 327-353
Cultural analysis of differential minority achievement can create stereotypes and restrict expectations of child performance if group-level cultural generalizations are misapplied to individuals. Observational and interview studies of sibling caretaking and peer assistance in Native Hawaiian contexts illustrate the appropriate comparative analysis of natal and school activity settings. Results indicate Native Hawaiian sibling caretaking varies widely across households and individual child experience. Parents' beliefs about sibcare show a mix of shared acceptance and ambivalence. In natal settings, child-generated activities, carried on without adult intervention, produce most literacy-related behaviors (such as school-like tasks and increased language use). Among the classroom learning activities that are successful with Native Hawaiian children are child-generated interactions, in which children are able to use scripts similar to those observed in natal settings. Other features of natal activity settings (such as personnel, goals and motives, and everyday tasks) are discontinuous with those of the classroom centers. To reduce home/school discontinuities, these data suggest that classrooms need to be accommodated to selected features of natal culture activity settings, rather than be isomorphic in all aspects. Identification of which cultural features these are depends on “unpackaging” cultural effects on individuals by analysis of both natal and school activity settings.
Sampling
Trochin, M. K. (2006)
Introduction and discussion of various sampling approaches
A Typology of Mixed Methods Sampling Designs in Social Science Research
Onwuegbuzie, Anthony J. & Collins, K. M. T. (2007)
The Qualitative Report, 12(2), 281-316
Introduces a framework for developing sampling designs in mixed methods research. Discusses sample frames, recommended sample sizes, a typology for classification of strategies, guidance for sampling decisions, and issues related to how sampling decisions impact generalization.
Behavior Sampling and Ethnography: Complementary Methods for Understanding Home-School Connections Among Latino Immigrant Families
Weisner, T. S., Ryan, G., Reese, L., Kroesen, K., Bernheimer, L., and Gallimore, R. (2001)
Field Methods, 13(1): 20-46
Used ethnography and experience-sampling methods to study the relations between home activities and school achievement in a sample of low-income Latino immigrant families and their 10-11 year-old children at risk for low school achievement. Both ethnography and experience-sampling methods (ESMs) are effective for assessing children’s home activities. The authors combined them to examine home activities that were school-like, complementary to school, or unrelated to school.
Designing Qualitative Studies
Patton, Michael Quinn (2001)
Thousand Oaks: Sage Publications, In Michael Quinn Patton, Qualitative Research & Evaluation Methods, 3rd edition, pp.209-257
Practical guide to study design with good attention to taxonomy of research approaches by purpose and sampling issues.
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.
A Mixed Methods Investigation of Mixed Methods Sampling Designs in Social and Health Science Research
Collins, Kathleen M. T., Onwuegbuzie, Anthony J., & Jiao, Qun G. (2007)
Journal of Mixed Methods Research, 1(3), 267-294
Presents a two-dimensional model (time orientation—concurrent vs. sequential and the relationship between the qualitative and quantitative samples—identical, nested, multilevel, and parallel) for classifying mixed methods studies sampling designs. Presents and discusses findings from the distribution of 121 studies into the model and the relative appropriateness of the employed strategy.