Another crucial stage that cannot be ignored is deciding on the type and nature of data that is to be used in the research. Ideally, there are three types of data that a researcher can collect using primary research. First, the data can be quantitative in nature. This refers to data that is capable of been converted into a numerical value (Kothari 2004). One of the benefits of quantitative data is that its measurement does not require critical reviews, making it easy to collect. The surveys and experiments that are used in collecting quantitative data provide information that is measurable or observable. It also involves easy data analysis. It also takes a short time to collect the required data since it is collected in characters that are numerically convertible. However, it also has various limitations that make it unsuitable for use in various cases. First, the information that is collected is not as comprehensive as that collected from other studies (Hair et al. 2014). The information is not easy to understand since numbers are allocated without defining the reasons. As such, it is a requirement that the data collected lies within certain limits. It also requires the collection of a large amount of data so that it can represent the entire population.
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A question was posed to the focus group and they were allowed to share their thoughts on same, which allowed everyone to present their ideas in an unbiased session. Since recording of the information was difficult to gather, this was accomplished by taking notes and observation of styles with another inspector which allows the information to be determined into main idea and sub-ideas to the participants. This were then transcribed and injected into the research directly as opinions referred to a participant who put forward their thoughts or made up a new interesting point to present it in the