The theoretical structure within which the research is going to be conducted is known as research design. The research design should include information related to the topic of the research, significance of research, beneficiaries of research as well as a place of research. With a good research design, it is possible to reduce bias and increases the ability of the data composed and investigated (Noble and Smith, 2015). The design which provides the minimum experimental error is described to be the best design in the scientific search. This paper will discuss the key elements of research design as well as associated challenges for qualitative research.
The key elements of research design includes perfect declaration of research problem procedures and techniques to be used for collecting information, method to be applied for treating and examining the data, aim behind the study (descriptive or casual), types of investigation (observational or survey), researcher interference (minimal or manipulative), study setting (research environment), time limit (cross-sectional or longitudinal) as well as unit of analysis. A good research design must starts with the perfect declaration of the research problem. It should provide the reader with the history and importance of the problem as well as its current scenario.
A key element of research design is also the aim of the study. This can be descriptive, exploratory, and analytical as well as case study analysis. Descriptive study is related to the description of features of the variables of interest. The objective of the descriptive study is to provide the information regarding the prevalent facts related to the topic. The main advantage of this research is that it allows exploring further ideas. For instance, an exploratory study can be used to gather the information regarding the competitors. An exploratory study is conducted when there is not much known about the topic and no past study also effectively address the topic. This takes into account wide range of extensive preliminary work. For example, exploratory research can be conducted on the topic “quality of life.” The purpose of the analytical study is to test the hypothesis. This is mostly used to explain the nature of certain relationships. It describes the interdependence of two or more factors in a given situation. For example, the analytical study can be used for the description of the association between advertising and increased sales. Moreover, case study analysis is used for the in-depth analysis of a given topic. Case studies are not recommended to be used as a problem-solving technique as it is not possible to always have the same problem in any other organisation also. The reason for a case study is to study powerfully one position of something as a dissimilar intact. However, if case studies under investigation are of qualitative, then these are valuable in smearing clarifications to current problems founded on past problem-solving involvements. However, case studies do not unavoidably employ qualitative data only. These are also valuable to make further theories for experiential analysis. And these should not be used only as there is another evaluation design appearing to work. These serve as a useful evaluation tool when the project absorbs implementing an accessible program in a new situation.
Furthermore, types of investigation can be correlational as well as causal. In a causal investigation, it is essential to find a definite cause and effect relationship. It is usually adopted when the aim is to explain more than one factor that are causing problems. For instance, the role of smoking in causing cancer can be analysed with the use of causal investigation. Correlation study is carried out when there is only need for identification of different factors, and no detailed study is required. Researcher interference can be minimal, or it can be manipulative. This depends on whether the study assumed is causal or correlational. In a correlational study, the researcher purposely alternates certain variables and impedes with the proceedings as they usually happen in the organisation.
In the context of study settings, natural settings are used for having the correlational studies. For cause and effect studies, lab settings are used. Unit of analysis in a research design refers to a population of studies. This includes individuals, groups, organisation as well as industry and country. For example, if there is research conducted to know the individual performance of employee after certain training then here a unit of analysis will be individuals. If this performance is to be checked at production as well as sales department level. Then here the unit of analysis will be grouped. This can also be at the industry level when there is an investigation carried out for the analysis of the percentage of the workforce working in care, and then the unit of analysis is an industry (Khankeh et al., 2015). Time horizon can be cross-sectional, or it can be longitudinal studies. Longitudinal studies refer to those, which are conducted at more than one point in time. For example, the performance of employee before and after training can be assessed using the longitudinal studies.
Research can be carried out quantitatively as well as qualitatively. These approaches fluctuate in the amount of the researcher’s interest regarding the empirical appointment, direct association with the subjects, and physical participation in the situation. If a researcher is using them as qualitative research design, then it may face certain challenges associated with this approach. But this cannot be concluded that qualitative research design should not be used as there are many situations where the requirement is to use the qualitative research design, or it best serves the purpose. Qualitative research refers to the systematic subjective method that can be used for the description events in qualitative terms. Its main goals are to have an understanding of the topic and explore the topic in depth (Taylor et al., 2015). Case studies are frequently understood as major examples of qualitative research that involve the explanatory method to study data.
After the establishment of research questions, the next crucial decision is on the assortment of a suitable method along with the selection of research design. Then succeeding planning would be on the correct technique of data collection, number of part-takers, research setting based on methodology and the research question. Sometimes it gets difficult for researchers and students to understand that taking up a qualitative method is only the first phase in the method of selecting a suitable research methodology.
The qualitative research design is based on social constructivism perspective. For example, these can be used for improving the understanding of health-related phenomena (Fleurence et al., 2014). Here it involves the systematic collection, organising, and clarification of material in a documented form derived from converse or observations. Researchers start the expedition for the new hypothesis in health which should concede that suitability of qualitative research obtains from the nature of the social incident to be discovered. There is a context-specific perspective that provides the knowledge in qualitative research. Data analysis, ethical concerns, and inflexible methods of findings are some of the concerns of Qualitative research design while working on health-related phenomena. This design has a lacking that it does not equip researchers with a set of procedures to be followed rather it depends on control of words and images. It does not offer results in the form of numbers and equations, but it displays results regarding meaning and understanding.
In this design, the research problems turn into research questions founded on previous research practice. In this study, the chosen sample sizes can be as small. The data collection methods can be to conduct the interview or have the director non-participant observation. There is also the use of field notes as well as journals and logs. The main challenges that a researcher faces while doing the qualitative research are the identification of problem along with the formation of the research question. There is also the requirement of selection of an appropriate methodology while conducting qualitative research (Ritchie et al., 2013). These are challenges that are faced by any researcher during the initial stages of any research project. These problems are principally common for beginners. Identification of research problem is a major issue in qualitative research. It is the topic that researcher wants to take into account while conducting research. It is the main reason for which researcher is engaged in the investigation.
Identification of the problem is essential as it is like a lens that will be used to look at the reality of the phenomenon under study. But interestingly here the topic is mostly such that in with which researcher is already familiar. The difficulty at this stages comes from the fact that researcher has to start his investigation at this point, with the use of his personal experience. Significant time and energy are consuming by the researcher, so, the problem must be identified clearly. The one solution of this can be to narrow down the problem with an aim to clarify the topic for the research. For this purpose, research questions can be used for the formation of the research problem. There can be more than one research question. It is also observed that researchers do not first decide about the use of specific research design. But they propose questionnaires, or they start interviewing far too before time to answer their research questions. But in this case, conclusions are drawn will usually be feeble and unpersuasive and be unsuccessful to answer the research question. This also makes them change their research questions or approach during their research design. This practice is taken by novice researchers, and their research questions are very wide, uncertain, and fuzzy. Research questions should be trustworthy with the research method.
The research design and methodology must be sufficient to deal with the chosen topics and the research question. Researchers have to recognise, explain, and rationalise the methodology they decide, in addition to the selection of strategies and measures implicated. Consequently, it is essential to discover the correct technique for the research question. It should discern that some of the particulars of a qualitative research task cannot be determined in advance and may perhaps be decided as they happen throughout the research process. The problem of distort differences between qualitative approaches require consistency and coherence and is known as method-slurring. This is the trouble of disfiguring differences between qualitative methods. Each method has to reveal its steadiness to its basics and will mirror them in data collection, examination, and acquaintance assert.
Good research questions must have these characteristics as these must be specific, inferring to the problem or phenomenon, it must also reflect the interference in experimental research and identify the target group of participants. Thus, the main aim behind the identification of research problem is to explore and understand the phenomenon. Moreover, the researcher should take care that he/she bestow sombre deliberation to the selected region as the foundation of research and that a qualitative scheme is pertinent and probable. Consequently, forming the research question in a good mode and choosing suitable methodology can assure innovative, attractive, and applied facts.
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Ritchie, J., Lewis, J., Nicholls, C.M. and Ormston, R. eds., 2013. Qualitative research practice: A guide for social science students and researchers. Sage.
Taylor, S.J., Bogdan, R. and DeVault, M., 2015. Introduction to qualitative research methods: A guidebook and resource. John Wiley & Sons.