Chapter 5: Methodology
5.6 Data analysis
The collected data was analyzed in order to answer the research question. The researchers carried out a practical content analysis, based on elements and techniques from Grounded theory. The term grounded theory is sometimes used simply to imply that the analyst has grounded his or her theory in data (Bryman & Bell; 2007; p.585). Furthermore, there is considerable controversy about what grounded theory is and entails (Charmaz; 2000).
Researchers sometimes appear to use just one or two features of grounded theory (Bryman
& Bell; 2007). The researchers therefore carried out a modified version of grounded theory, while still achieving the main purpose, which is to infer the theory out of the data. This was done by coding and categorising the data.
The data was categorised in order to organise the topics presented in the study, help find a pattern in the answers and develop core categories. Coding serves as a short hand device to label, separate, compile and organize data (Bryman & Bell; 2007). However, there is some criticism towards coding. Not all information can be labelled, and there is also a danger of loosing data and the context of what is said (Bryman & Bell; 2007). The analysis was therefore only based on some elements of coding.
In order to develop categories, the most important areas were chosen from the topic guide used during the interviews, as well as from topics which came up during the research. The researchers than looked for patterns and areas of agreement and disagreement, and the reason behind the phenomena. Evidence was extracted from the data collected, consisting of the transcribed interviews, in the form of illustrative comments and/or quotes which relate to the topic.
Different comments from different people were identified and then tagged, in a sense like coding. Based on this process, core categories were developed. These comments were then clustered together by using content cards. Concept cards were used to identify important concepts in the data, by accumulating events, pieces of conversation and other elements related to a particular theme, and categorising them together under a label(Bryman & Bell;
587). This process was applied to the chosen, most relevant and important areas of relevance to the study. The same approach was used to extract information and evidence from the performed customer surveys.
5.2 Validity and reliability
The most prominent criteria for the evaluation of research are reliability and validity
(Bryman & Bell; 2007). Reliability is fundamentally concerned with issues of consistency of a measure of a concept. There are mainly three factors involved when considering whether a measure is reliable;
1. Stability over time 2. Internal reliability and
3. Inter‐observer consistency, relating to the consistency of the observers decisions
In other words, reliability is the degree to which the findings are independent of accidental circumstances in the research. Validity on the other hand, is in many ways the most
important criterion of research (Bryman & Bell; 2007). Validity refers to the issue of whether or not an indicator devised to measure a concept really measures that concept (Bryman &
Bell; 2007), and can be though of as the degree to which the findings are interpreted correctly. The validity of qualitative research lies in whether the information and the recommendations made by the researcher are sound, defensible and of use to the client (Wright & Crimp; 2000).
A number of measures have been taken to ensure validity and reliability in the research. The use of multiple data collection methods enabled facilitation of the core research, and
allowed for triangulation, an approach which allows for multiple observers, theoretical perspectives, sources of data and methodologies (Bryman & Bell, 2007: Denzin; 1970).
Triangulation was conceptualized by Webb et. al (1996) as an approach to the development of measures of concepts, whereby more than one method is employed, resulting in greater confidence in the findings (Bryman & Bell; 2007). Furthermore, validity was increased as the interviewees were asked the same set of questions, while allowing time for follow‐up questions.
5.2 Research Limitations
The researcher’s presence and the surroundings might produce bias responses in the interview setting. The interviews were carried out by two and two researchers, as this allowed for the person conducting the interviews to focus on attentiveness towards the interviewee, while the other person would sit in the background and take extensive notes.
This ensured that the natural flow of the conversation was not disturbed.
The interviews were carried out using a tape recorder to ensure that no information was missed. However, the presence of the tape recorder could also have negative effects in terms of making the interviewee uneasy. More interesting information might also be revealed when it is turned off. However, steps were taken to ensure that the interviewee was comfortable with the tape recorder present. To ensure this, a casual conversation was carried out before the interview itself, and the interviewee was ensured that the interviews are subject to strict confidentiality.
5.3 Ethical considerations
The interviews were tape recorded in order to ensure that no data was lost. In order to ensure that the interviewees agreed to participation in this study, they were made aware of the tape recorder before the interview itself, to which they agreed. The researchers also informed that the participation in the study was subject to strict confidentiality. Names, store names, and turnover figures are therefore held strictly confidential.
5.4 Conclusion
This chapter has presented the research strategy and methods used for the purpose of this study, including the use of interviews and customer surveys. Furthermore, validity and reliability have been established through research triangulation. The following chapter will present the research findings, which will then be discussed and analyzed.