Relatively less Definition of Primary Data Primary data is data originated for the first time by the researcher through direct efforts and experience, specifically for the purpose of addressing his research problem. Also known as the first hand or raw data. Primary data collection is quite expensive, as the research is conducted by the organisation or agency itself, which requires resources like investment and manpower. The data collection is under direct control and supervision of the investigator.
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. 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.
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 triangulate methods — i. 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.
Can my dissertation be entirely literature-based? If you decide to do a primarily theoretical dissertation, it is almost certain that your dissertation will be entirely literature-based. This is likely to be the methodology of theoretical analysis: You might ask how useful certain concepts or theories are for understanding particular patterns of behaviour.
How useful is the concept of institutional racism? Is objectivity in the media possible?Data collection plays a very crucial role in the statistical analysis. In research, there are different methods used to gather information, all of which fall into two categories, i.e.
primary data, and secondary data. Read on for a quick breakdown of secondary and primary data and tips for finding valuable insights for your market research needs. At the highest level, market research data can be categorized into secondary and primary types.
Primary Data Collection: In primary data collection, you collect the data yourself using qualitative and quantitative methods. The key point here is that the data you collect is unique to you and your research and, until you publish, no one else has access to it.
Data collection is a process of collecting information from all the relevant sources to find answers to the research problem, test the hypothesis and evaluate the outcomes. Data collection methods can be divided into two categories: secondary methods of data collection and primary methods of data.
Chapter 2: Research Methodology 1. Type of Research 2. Sources of Data 3. Instruments for Data Collection 4. Research Methods 5. Sampling 6. Limitations of the Study The primary and secondary data have been collected to cover every aspect of the study. The primary data . It will involve primary data, secondary data, quantitative and qualitative research methods, lit reviews, theory and policy studies and an exploration of alternatives.
My dissertation is to be based around the experience of 'poverty', as poverty is the experience.