Using colaizzis method of data analysis to explore the. The application of colaiizis method in conducting research across two language. The extension of colaizzis method of phenomenological enquiry. Quantitative data analysis, sascha oberhuber, iris maurer. The extension to colaizzis method of analysis emanated from recent. The use of colaizzis method of data analysis enabled new knowledge to be revealed and provided insights into the experiences of nurse academics teaching on satellite campuses. This chapter presents the assumptions, principles, and techniques necessary to gain insight into data via eda exploratory data analysis. Colaizzi s method of phenomenological analysis and proposes an extension to the original seven step approach enhancing rigour and, expanding information sources to enhance indepth descriptions of phenomena for study. Local adaptation of the nursing curriculum and additional unnoticed responsibilities had not been identified previously and warrant further research.
Colaizzis method of data analysis is often used in empirically based phenomenological research. Guiding principles for approaching data analysis 1. Conclusion colaizzi s 1978 method of data analysis is rigorous and robust, and therefore a qualitative method that ensures the credibility and reliability of its results. Colaizzis phenomenological method of enquiry was used as the basis of enquiry in this study.
In this study, data will be analysed using both the qualitative and quantitative method. Using a real research example, the process of colaizzi was used to provide assistance in extracting, organizing, and analyzing such narrative dataset. Quantitative data means data, or evidence, based on numbers. This paper will benefit the researcher from non english speaker background. At this point in time, one has to take a closer look at both methods of analysis. The researchers personal experience in implementing step by step of data analysis as suggested by colaizzi along with the experience of maintaining rigour and trusworthiness is discussed. Data analysis is the process of systematically applying statistical andor logical techniques to describe and illustrate, condense and recap, and evaluate data. The purpose of this paper is to provide guidance for novice researchers using colaizzi s 1978 phenomenological method of data analysis. Exploratory data analysis detailed table of contents 1. Specific techniques of qualitative content analysis. The end result is a concise yet allencompassing description of the phenomenon under study, validated by the participants that created it. It offers personal insights into how to present an auditable decision trail in a phenomenological research study and explores issues of rigour and trustworthiness. To provide information to program staff from a variety of different backgrounds and levels of prior experience.
1580 1214 392 1514 1312 1211 1044 372 245 398 513 230 315 1186 1137 149 1088 844 1300 53 686 379 1491 66 950 315 1219 680 1298 437 129 1277 213 311 231 1130