Life With and Without Coding: Two Methods for Early-Stage Data Analysis in Qualitative Research Aiming at Causal Explanations. Volume 14, No. 2, Art. 5 – May 2013 Life With and Without Coding: Two Methods for Early-Stage Data Analysis in Qualitative Research Aiming at Causal Explanations Jochen Gläser & Grit Laudel Abstract: Qualitative research aimed at "mechanismic" explanations poses specific challenges to qualitative data analysis because it must integrate existing theory with patterns identified in the data.
We explore the utilization of two methods—coding and qualitative content analysis—for the first steps in the data analysis process, namely "cleaning" and organizing qualitative data. Both methods produce an information base that is structured by categories and can be used in the subsequent search for patterns in the data and integration of these patterns into a systematic, theoretically embedded explanation.
Key words: qualitative content analysis; grounded theory method; coding; sociological explanations; causal mechanisms; theory-guided research Table of Contents 1. 2. 3. 3.1.2 Structuring raw data 4. 5. Coding. Hesse Bieber 4 10. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. The Framework Method sits within a broad family of analysis methods often termed thematic analysis or qualitative content analysis.
These approaches identify commonalities and differences in qualitative data, before focusing on relationships between different parts of the data, thereby seeking to draw descriptive and/or explanatory conclusions clustered around themes. The Framework Method was developed by researchers, Jane Ritchie and Liz Spencer, from the Qualitative Research Unit at the National Centre for Social Research in the United Kingdom in the late 1980s for use in large-scale policy research .
It is now used widely in other areas, including health research [3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. Its defining feature is the matrix output: rows (cases), columns (codes) and ‘cells’ of summarised data, providing a structure into which the researcher can systematically reduce the data, in order to analyse it by case and by code . In coding Qualitative Data, how much validity and detail do the results lose? The process of coding both qualitative and quantitative data is used to make data receptive to quantitative handling (Guetzkow, 1950).
Coding is used to find the most meaningful parts of the data, and to generate concepts about the data, by manipulating it (Gough & Scott, 2000). Qualitative research focusses on defining and classifying the characteristics of data as opposed to the quantification of elements focussed on in quantitative data collection (Howitt & Cramer, 2010). The coding of qualitative data can lead to further analyses and understanding of such information.
It is used to comprehend the data which has been collected (Lockyer, 2004).The process can be used by researchers to gain a more thorough statistical representation of the results and theories involved (Guetzkow, 1950). Coding can be done either manually or electronically; dependent upon variables such as size of research, knowledge of the researcher, and funding availability. References: Like this: Like Loading... Advantages and Disadvantages of Pre-coding. Advantages and Disadvantages of Pre-coding In this week’s reading from the course text Qualitative Data Analysis: An Expanded Sourcebook, the authors outline a pre-coding structure for data analysis.
For this Discussion, you will analyze the pre-coding process and discuss its strengths and weaknesses. To prepare for this Discussion: • Miles & Huberman advocate developing a pre-coding structure for data analysis that is based on the conceptual framework and research questions on p. 58. To what extent can having such a structure help or hinder a researcher? Week%204. St100330. Advantages Of Pre Coding In Qualitative Research PDF - Ebookinga. Saldana 2009 the coding manual for qualitative researchers. Coding examples from SAGE journals. The Practicing Researcher: After reading The Coding Manual for Qualitative Researchers by Johnny Saldaña. Coding in NVivo. Before looking at coding in NVivo, it helps to address a few assumptions.
In all qualitative research, the work involves some airing out of assumptions early on. That seems like a useful practice even for a simple primer. The assumption for coding is that the researcher has a clear and close attention to words and word meanings (including nuances and inflections) during the research and data analysis. To this end, it may help to bring this issue of language-based meanings to the fore first. Aligning with Research Methods and Domain-Specific Professional Values and Practices Beyond these general observations, there are a number of additional considerations depending on the research domain.
In a sense, coding continues throughout the research. Researchers who are engaging in mixed methods work--often including survey data--have to consider a range of other coding considerations, including a raft of basic statistical methods related to research. Defining Terminology Coining new terms. Summary.