Introduces major concepts on data analysis.

Concepts on Data Analysis.

The course is designed to equip students with knowledge and skill to make an informative inquiry of the implication of data. The student builds onto the basic tools to more sophisticated and advanced tools to make sense of use of data generated in doctoral research study.

From basics to advanced use.

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The purpose of data analysis is to gain meaningful insights from raw data to support decision-making, identify patterns, and extract valuable information. Some of the key objectives of data analysis include: Identifying trends and patterns, Making data-driven decisions, Finding correlations and relationships, Detecting anomalies, Improving performance, and Predictive modeling.

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HENNIE BOEIJE
Utrecht University, Faculty of Social Sciences, Department of Methodology & Statistics, PO Box
80140, 3508 TC Utrecht, The Netherlands (E-mail: h.boeije@fss.uu.nl)

Abstract. 

The constant comparative method (CCM) together with theoretical sampling constitute the core of qualitative analysis in the grounded theory approach and in other types of qualitative research. Since the application of the method remains rather unclear, researchers do not know how to ‘go about’ the CCM in their research practice. This study contributes to a purposeful approach of the CCM in order to systematize the analysis process and to increase the traceability and verification of the analyses. The step by step approach is derived from and illustrated with an empirical study into the experience of multiple sclerosis (MS) by patients and their spousal care providers. 

In this study five different steps were distinguished on the basis of four criteria: (1) the data involved and the overall analysis activities, (2) the aim, (3) the results and (4) the questions asked. It is concluded that systematization of qualitative analysis results from the researcher using a sound plan for conducting CCM regarding these four aspects.

Key words: qualitative research, constant comparative method, grounded theory, qualitative analysis,
interviews

In constant comparison, the qualitative analysis process consists of looking at your existing data and conducting qualitative coding to generate theories from your research. In this article, we'll look at the constant comparative method and the steps necessary to conduct constant comparison.

Constant comparison is an essential qualitative research method that originally comes from grounded theory analysis. Under the constant comparative method, the goal of the qualitative data collection process and data analysis is to facilitate organization of information to generate a coherent theory.