Critical Analysis of Research Design and data Collection

In Brief

• Research design talks about the overall strategy that you choose to logically integrate the various elements of your research so to make sure that you deal with the research issues efficiently.
• Data collection for your research has two parts – Primary Data Collection and Secondary Data Collection.
• Primary data collection can be done from various sources like workplace, interview, questionnaires, and expert opinion.
• Secondary data collection involves literature review, reports etc.

The methodology of research is the path through which researchers are required to conduct their research. It demonstrates the direction along which these researchers formulate their questions and goal and present their result from the data collected during the time of analysis. In this article, we should objectively examine the pieces of the entire cycle of study design and data collection.

Research design

The analysis architecture aims to contain an appropriate structure for a review. The choice you make with respect to the research approach is a crucial decision in the research design process as it says how related data can be available for a study; however, the process of research design engages a number of correlated decisions.

This research design allowed the PhD researchers to grab data from a broad range of respondents on the effect of protection and health on Ethiopian manufacturing industries. And this helped evaluate the feedback gathered on how it impacts the occupational protection and wellbeing of the manufacturing sectors.

Data collection methods

The data collection process is based on the fundamental techniques including collections of secondary and primary data, focused on both qualitative and quantitative data as defined in the previous section. You can take help of the Research Data Collection Service.

Primary data collection methods

The key origins of primary data are both qualitative and quantitative (Corti et al., 2019). The qualitative sources are field study, questioning, and casual conversations, whereas those of quantitative data sources are sample questionnaires and interview queries. Primary data collection PhD Research is vital to your research.

• Workplace site observation data collection

Observation is a significant part of science. It is closely related to data collection, so there are various forms for this: reports, archival documents, interviews, direct findings, group findings. Observational research findings are strong data because the researcher can gather depth of information on a particular behavior (Gregory et al., 2019). The researchers used observation method as a means to gather knowledge and details before the design of the questionnaire and even after work. Workplace data collection is one of the Best Primary data collection.

Data collection through interview

In-depth qualitative interview with people deemed to be particularly knowledgeable about the topic of interest. Usually, the semi-structured interview is conducted in a face-to-face setting that lets the researcher to look for new insights, ask questions, and evaluate events from different angles (Baillie, 2019). Interview data collection is one of the most sought after Methodology Primary Data Collection.The benefit of applying interviews as a tool is that it lets respondents raise issues that may not have been expected by the interviewer. The accompanying researcher performed all interviews with staff, managers, and technicians on a face-to-face basis at the workplace.

• Data collection through questionnaires

In this thesis, each respondent is asked to answer an identical list of mixed questions so that bias was avoided. Initially, the questionnaire design was coded and mixed up based on uniform structures from specific topics. The questionnaire, therefore, produced valuable data that was necessary to achieve the goals of the dissertation.

• Data obtained from experts’ opinion

You can also get data from the expert’s opinion on the knowledge, management, group effort, and technology use, including their sub-factors, being compared. The resultant data was used for OSH’s prioritization and decision-making, improving factor priorities (Kaverzneva et al., 2019). The variables prioritization was done using Saaty scales and then converted to Fuzzy set values gathered from previous work using a triangular fuzzy range.

Secondary data collection methods

The secondary data relates to data where anyone other than the consumer received (Stobaugh et al., 2019). This source of data gives insights into the current state-of-the-art method research area. It also creates some kind of work void where the researcher wants to fill. Such secondary sources of data may be internal and external sources of knowledge and may span a number of fields.

Literature/desk review and industry papers and reports: The researcher conducted excessive document review and company reports in both online and offline modes to attain the goals of the dissertation. From an analytical point of view, literature reviews should be interpreted as an examination of material, where quantitative and qualitative elements are combined in order to determine both systemic and quality parameters.

A Literature Review was carried out using information references such as MEDLINE; Emerald; Taylor and Francis publications; EMBASE ; PsycINFO; Sociological Abstracts; Papers on Injury Prevention; US Labour Statistics, European Safety and Health Information; ABI Inform; Market Source Premier; The search strategy focused on articles or reports measuring one or more of the dimensions within the OSH model framework for research.

Conclusion

Both Research design and data collection play crucial roles in research methodology. Our discussion has critically analyzed both the aspects and we hope that it will be of some help to the future researchers.

PhD Assistance is a well-established academic guidance provider and has assisted more than 10,500 Masters students and 4,500 PhD scholars all over the world.