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Kevin Bonnett - Sociology What approach should I take - qualitative or quantitative? Your approach, research design, and research question are all connected. Dissertations can be based on either quantitative or qualitative data, or on a combination of both. How you choose this may depend on your preferences and abilities, and the suitability of particular approaches to your topic.
You need to be able to justify why you have chosen to use such data. Quantitative data is particularly useful when you wish to discover how common particular forms of behaviour such as illegal drug use are for a particular age group.
Qualitative data is particularly useful when you wish to find out why people engage in such behaviour. Think about the Research Methods modules you have taken so far. Think about the different kinds of studies you have read for other modules. There is plenty of scope to use the approaches and methods that you are most comfortable with.
You need to justify your approach and methods and to cite appropriate literature to help you do this.
What if I want to find out about social trends, or the measurable effects of particular policies? You will probably want to use large datasets and undertake quantitative data analysis, and you will be adopting a realist approach to the topic studied. Quantitative dissertations are likely to be nearer to the lower end of the range of approved lengths for the dissertation e.
They will also include tables and figures giving your important findings. Remember that all tables must be carefully titled and labelled and that sources of your data must be acknowledged. What if I want to record people's views on an issue, and give them a 'voice'? You will probably want to use in-depth qualitative data, and you may wish to adopt a realist, a phenomenologist, or a constructionist approach to the topic.
Qualitative dissertations will include descriptive material, usually extracts from interviews, conversations, documents or field notes, and are therefore likely to be nearer to the upper limit of your word range e.
The types of method suitable for a dissertation could include content analysis, a small scale ethnographic study, small scale in-depth qualitative interviewing.
Whether you choose qualitative or quantitative analysis will depend on several things: Your preferred philosophical approach realist, phenomenologist or constructionist. Your skills and abilities with methods of data collection if needed and analysis.
The topic or issue you are interested in. How you frame your research question. Can I combine qualitative and quantitative methods?
There are many ways in which qualitative and quantitative data and analysis can be combined. Here are two examples. You may be interested in doing an analysis that is primarily quantitative, looking at social trends, or policy implications.
However you also want to introduce a 'human touch' by conducting one or several interviews asking what these trends mean to people or how particular individuals experience events. After doing your quantitative analysis, you should include a chapter or section on the qualitative data you have collected.
In your discussion of findings you can use the qualitative data to help you understand the patterns in the quantitative analysis. You may be interested in doing an evaluative case study of a process or policy. You will have a particular focus — a 'case' that you are looking at. You will triangulate methods — i.
What are inductive and deductive approaches to coding qualitative data? Qualitative Dissertation: Qualitative Data Analysis & Coding Qualitative Data I have worked with over doctoral candidates over the past 17 years. Deductive Research Approach If you have formulated a set of hypotheses for your dissertation that need to be confirmed or rejected during the research process you would be following a deductive approach. Inductive and Deductive Research Approaches 1 Compare and Contrast Inductive and Deductive Research Approaches By L. Karen Soiferman University of Manitoba April Qualitative research is a rigorous approach to finding the answers to questions. It involves.
You will analyse each type of data and describe this, and then write a discussion that shows how each piece of analysis contributes to the overall picture of what is going on. Your supervisor or research methods tutor may be able to give you detailed examples of these or other ways to combine methods.Methodologies1 Introduction.
The way you approach your question will have a profound effect upon the way you construct your dissertation, so this section discusses the types of research you might undertake for your dissertation.
The main difference between inductive and deductive approaches to research is that whilst a deductive approach is aimed and testing theory, an inductive approach is concerned with the generation of new theory emerging from the data.
The deductive approach is based on previous researches and tests previously established research hypotheses instead of establishing new hypotheses. This approach also called the top down approach moves from a generalised pattern to a particular and specific pattern to derive conclusions.
COMPARING INDUCTIVE AND DEDUCTIVE METHODOLOGIES FOR DESIGN PATTERNS IDENTIFICATION AND ARTICULATION Nicole Schadewitz and Timothy Jachna School of Design, Core A, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, deductive methods to structure and format patterns.
Deductive and Inductive Research Approach. Research Approach. This blogpost by the experts of lausannecongress2018.com would explain about research approaches.
While working on a research project, it is very important to decide which research approach would be best for your research. The deductive research approach is based on the general idea to reach at the specific situation and it is linked with the positivism paradigm, whereas, inductive approach works over a specific idea to generalize the situation as per the research topic, which is linked with the interpretivism paradigm (Crowther and Lancaster ).