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How to write research methodology custom essay

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In developing the design of your research, you need to consider two elements:
1. the methodology – how the research will be conducted and the role which you will play in the investigation; and

2. the detailed techniques actually used for gathering evidence.

This section provides an overview of the main strategies for conducting research and considers their relationship to different types of enquiry. As such it forms an introduction to the next two sections, which examine case studies and surveys.

Note: Do not use the Module Handbook as a reference to substantiate information in Chapter 3 (or any other chapter). You must do your own research.

Fundamentals of Research

Aim and Process

The first step in deciding any aspect of your research design is to consider the purpose of your enquiry. What are you trying to achieve? This should be expressed in your overall aim and objectives, which will reflect the analytical framework you have developed for the consideration of the specific topic.

Once you have determined your aim, you can move on to the next question – what data or information is likely to be required in order that you can meet these aims? Don’t think straight away about what you need to do. Put some thought into what the end product needs to be – data or information you can analyse in relation to your dissertation aims. You should also put some preliminary thought into how the data is going to be analysed, since this will influence the way in which the data is collected. The last step is to determine the method of data collection – how and when you are going to gather the information necessary. The process, then, can be summarised as follows: Get custom written paper at my private

Types of Data

There are two important ways of categorising data that you need to take into account in thinking about the data you need to help you meet your dissertation aims. These are:
1. the distinction between quantitative and qualitative data; and
2. the distinction between primary and secondary data.

These distinctions have a significant influence on decisions about the method of analysis and the method of data collection. It is useful to consider what is involved with each type of data and their role in providing evidence:
1. Quantitative and Qualitative Data
Quantitative data is expressed in numbers. It comprises measurements of variables, which by statistical analysis, can be organised – totalled, averaged, etc. – into meaningful information. The results of the analysis can be used to draw conclusions about the event being studied.

The researcher is looking for relationships among the data – ways in which one set of data can be compared and evaluated with another. This is the purpose of statistical analysis. The results obtained can assume the status of “facts” since they are supported by scientific method. This would be the positivist perspective. Alternatively, there is a valid argument that the choice of analysis can influence the results, and looked at another way, the same figures might yield different conclusions.

Note that quantitative data is not limited to measurements of events or incidences that naturally occur in numbers – transactions, frequencies, etc. It is also possible to measure attitudes, by the use of ratings scales – a feature of surveys.

Qualitative data comprises recordings of individual accounts and perceptions or their interpretations of phenomena – the meaning that events or incidences have to those involved. The data comprise recordings of interviews, which will normally be transcribed or observations, statements from people, etc. The researcher is concerned with gaining insight through understanding people’s subjective perspectives rather than seeking objectivity. The conclusions still need to be systematically substantiated by the available data- usually through analysing themes that arise in the data.

Quantitative and qualitative data both have strengths and weaknesses, depending on the issue addressed, and are often fruitfully used together.

2. Primary and Secondary Data

Primary data is data collected specifically for the research enquiry being conducted. You could think of this in terms of generating fresh evidence of your own for the dissertation. Your dissertation will include at least some primary evidence. You may also make use of secondary sources. These might include statistical data already collected and analysed by your organisation, or company reports. Although these were collected with a different purpose to your dissertation and so could be called secondary data, you can still carry out further analysis of them.

Two points to bear in mind in using secondary data are to:
1. remember that it was not necessarily prepared with your needs in mind and may, then, provide only partial evidence; and

2. use original documentation rather than relying on interpretations by others – get hold of the actual figures rather than someone’s summary, the actual policy statement rather than someone’s interpretation of it in a letter, the original researcher’s account rather than someone else’s reference to it.

Research Strategies

There are three main strategies in research, based around different ways of collecting and analysing empirical evidence:
1. experiments;
2. case studies; and
3. surveys.

Experiments are not often used for the purpose of CIPD dissertations and will therefore not be described in this handbook. Get custom written paper at my private


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