Analysing Qualitative Data
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Qualitative Dissertation Methodology
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The SAGE Handbook of Qualitative Data Collection
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How we understand and define qualitative data is changing, with implications not only for the techniques of data analysis, but also how data are collected. New devices, technologies and online spaces open up new ways for researchers to approach and collect images, moving images, text and talk. The SAGE Handbook of Qualitative Data Collection systematically explores the approaches, techniques, debates and new frontiers for creating, collecting and producing qualitative data. Bringing together contributions from internationally leading scholars in the field, the handbook offers a state-of-the-art look at key themes across six thematic parts: Part I Charting the Routes Part II Concepts, Contexts, Basics Part III Types of Data and How to Collect Them Part IV Digital and Internet Data Part V Triangulation and Mixed Methods Part VI Collecting Data in Specific Populations
Qualitative Inquiry and Research Design
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The ideal introduction to qualitative research′s theories, strategies, and practices, John W. Creswell andCheryl N. Poth′s Qualitative Inquiry and Research Designexplores five qualitative research approaches: narrative research, phenomenology, grounded theory, ethnography, and case study. Packed with updated content and examples, this Fifth Editionguides readers to select the best qualitative approach for their studies.
Designing Social Inquiry; Scientific Inference in Qualitative Research
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While heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, and Sidney Verba have produced a farsighted and timely book that promises to sharpen and strengthen a wide range of research performed in this field. These leading scholars, each representing diverse academic traditions, have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable. Their book demonstrates that the same logic of inference underlies both good quantitative and good qualitative research designs, and their approach applies equally to each. Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Among the specific topics they address are interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. The unified logic of inference that this book explicates will be enormously useful to qualitative researchers of all traditions and substantive fields.
You will have to obtain IRB approval before collecting data from participants for research. You will have to describe how you will maintain data privacy and confidentiality and what kinds of data you will collect.
It is always important to treat data from participants with care, such that it stays private and confidential. However, there is some data that requires additional steps to protect, and may mean you cannot use some methods of data collection or storage. Consider whether you have
Data & Digital Scholarship Services helps researchers with creating, finding, and using data; geographic information systems (GIS); research data management and sharing; digital humanities and digital project planning and management.
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