Data Collection And Data Analysis: Data Collection And Data Analysis

Data Collection and Data Analysis
The clarity and applicability of the study findings rely heavily on a researcher’s ability to effectively identify, code and categorize themes and patterns unearthed in the data acquired. As a result, it is of the utmost importance to ensure that a researcher’s analytical skills be strong. Researchers must document and report all analytic processes wholly and honestly so that the findings can be evaluated for credibility or replicated in the future by other scholars. In order to analyze the vast amount of qualitative data generated from the interviews, grounded theory will be employed to analyze the textual data. According to Bhattacharjee (2012), grounded theory is “an inductive technique of interpreting recorded data about a social phenomenon to build

To reduce researcher or interview bias, routine field checks will be conducted to ensure interviewers are not deviating from their strict instructions on how to conduct the interviews effectively. Moreover, interviewers will be instructed to include rich verbatim descriptions of participants’ responses to solidify study findings and decrease potential for bias (Slevin & Sines, 2000). Respondent validation will also be a critical component of the interviews whereby participants will invited to comment on the interview transcript. According to Long & Johnson (2000), respondent validation helps to ensure that the major themes identified by the researchers adequately reflect the thoughts and opinions of those directly contributing to the findings. All interviews will be recorded to ensure that the data acquired accurately reflects participant’s thoughts and opinions without the possibility of