DATA THAT MATTERS.

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DATA THAT MATTERS.

Technology in this 21st century is evolving so rapidly. Numerous inventions, research and discoveries are being done daily. People are bombarded with limitless amount of information. With such a cycle, there must be better ways of organizing research design, data management and analysis.

With different types of data gathering strategies, the results obtained should be useful in decision making, more so for organizations. The most common style of gathering data is the use of surveys. Three frequently used types of surveys are face-to-face interview, telephone interview, and written questionnaire. Other means of carrying out surveys can be online to emails. Surveys vary in terms of cost per respondent and types of questions you can ask.

Face-to-face interviews are the most costly in terms of time and money. However, the interviewers can explain complex issues and explore unanticipated responses. Consider the question “Do you have any suggestions for Indepth Research Services about how to improve training experience of participants?” A response like “Improve training facilities” may be too vague. The interviewer can then explore the issue further “Do you mean better rooms, better study facilities, more computers, better food?” Another merit is the that you can monitor the respondent in their surroundings. This is particularly useful for surveys about work place interactions.

Written questionnaire is the cheapest way to reach a lot of people. It also allows respondents to remain anonymous, probably the questionnaire’s strongest advantage. However, response rate may be low, and which can lead to biased outcome. Furthermore, poorly constructed questions can lead to inaccurate results. Whichever way you choose to carry out your survey always consider which method will be most suited for you getting the best results.

After carrying out surveys it’s vital to know how you will manage that data and the research design you will use to incorporate that in your workspace. Research design refers to the overall strategy that you choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring you will effectively solve the research problem; this constitutes the blueprint for the collection, its measurement, and analysis of data. Note that your research problem determines the type of design you should use, not the other way around!

An important point to note is that, all the efforts and insights we gain from data should not just stop from gaining knowledge. We should go a notch higher to use that data to gradually improve our well-being in terms of better judgement as well as improving and developing the society we live in.  Indepth Research Services has organized an event to gain insights on research, data management and analysis by enrolling for a Research Design, Data Management, Analyses & Use Course  to be held on 12th -23rd February 2018 Nairobi, Kenya which will empower  participants with the necessary skills to produce accurate and cost effective data and reports that are useful and friendly for decision making.

By: Annet Wekesa

Digital Marketer: Indepth Research Services

 

 

 

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