Design a Qualitative Study (6-10 pages)

Organizing Data

This refers to the technique of classification and organization of data sets to make them more useful. After a qualitative research, data needs to be organized for the purpose of effective interpretation. This is mostly utilized under the information technology experts. In the phenomenology research design, there are two main components of data organization which entails the analysis of relatively structured as well as unstructured data. In this case, the structured data entails data in tables which can be easily assimilated into a database. It’s from the assimilation into the database that the data is fed into analytic software and other qualitative analysis tools and application. On the other hand, unstructured data refers to a raw as well as unformatted data. This can be said to be a simple text document in which names, dates as well as other pieces of information are often scattered randomly in a paragraph (Smith, et al. 2016).

This data organization strategy is specifically adopted in this phenomenology research design for the purpose of making the better use of the data collected. This is specifically aimed at utilizing the data to determine how an organization might be affected by its human resource management. Therefore the organization’s executives and other data analytics tend to focus on data organization as a component of a comprehensive strategy process of a business for the improvement of the business model tool. There are three main ways of organizing data which includes; centralized, structured, as well as partitioned (Van Biljon, et al. 2019).

Coding and Thematic Development

Thematic coding refers to a form of qualitative analysis which entails the recording or even the identification of passages of text or even images which are linked to a common theme or ideas which allows a researcher to carry out indexing of the data into groups which enhances the establishment of a framework of thematic ideas concerning the collected data. There are various approaches of thematic analysis, every thematic analysis acts as a thematic coding. Some of these thematic analysis tools include; grounded theory, interpretative phenomenological analysis which is specifically being applied in this research design. Finally there is a template as well as framework analysis. Therefore under the coding and theoretical development, there is need of viewing the collected data in a theoretical or even analytical way instead of merely applying a descriptive focus. Intensive analysis must be conducted in the data analysis section for the purpose of ensuring that every relevant idea is captured (Williams, & Moser, 2019).

Also, coding can refer to us the process of labeling as well as organizing qualitative data for the identification of the various themes as well as the correlations which exist between them. This is normally done as thematic analysis does the extraction of important figures from the collected data through the analysis of the data form and arrangement. Coding qualitative data is specifically important since it makes it easier to interpret the data outcome (Vaismoradi, et al. 2016). It also helps in making data driven decisions which are based on data outcomes of analysis.

What to Consider in Data Coding

a) Covering as many responses from survey as possible; this entails the code being generic enough for the application of multiple comments.

b) Avoidance of commonalities; this entails having similar codes which are serving various purposes.

c) Capturing the positivity and negativity of the data

d) Reducing data to a certain point which can be understood by the organization’s stakeholders.

Triangulation

This refers to the utilization of multiple techniques in the qualitative research for developing comprehensive insight of an occurrence. This can also be viewed as a qualitative research strategy of testing the validity of the collected data via the convergence of information from various references. There are basically four types of triangulation which includes; method, investigator, theory as well as data source triangulations. Therefore, it can also be described as the use of more than one technique in the collection of data that is related to the same topic of research. For instance in phenomenology research design, when more than one technique is utilized in its data collection, it can be termed as triangulation. The purpose of using more than one method in data collection under triangulation is to ensure that there is validity in the collected data. Although, it must be noted that the purpose of triangulation is not necessarily to cross-validate data, but rather to conduct capturing of different dimensions of the same occurrence (Natow, 2020).

Using Computer Software Application

This particularly entails the utilization of computer software applications like excel, SSPA and many more in conducting a data analysis. This particularly helps to make work easier during the data analysis process. It must be noted that the process of collecting and analyzing an organization’s data concerning its impact on human resource management is very much tedious, and for the whole process to be eased, computer software applications are utilized. Mostly, the commonly used acronyms for such software applications includes CAQDAS which was introduced by fielding as well as Lee in the 1989 conference on the computer software application programs (Friese, 2019).

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