Data Collection Procedures and Data Analysis Sample Clauses

Data Collection Procedures and Data Analysis. Before the data collection procedure, the researcher developed interview protocols for directing the participants with the questions (see Appendix B). Next, the research’s permission was taken at two levels: gatekeeper permission (instructor) and participants’ permission. The recording was essential for collecting detailed and accurate data on participants’ experiences. Therefore, following the research protocol, the online interviews were recorded with the participants’ permission. As the study involved semi-structured interviews, the researcher asked participants follow-up questions. Due to participants’ preference and convenience, the interview applied Kazakh and Russian languages. For further data analysis, all interview recordings were transcribed and translated into English. The transcribed interview recordings underwent preliminary exploratory analysis to organize the results into appropriate categories and subtopics. As a result, the researcher identified possible links between the categories by following the research purpose and the research questions. Since the research comprises epistemological research questions, the first cycle coding method applied descriptive coding to categorize the data. After sorting the identified categories, the researcher uses pattern coding for the second cycle of coding. According to Xxxxx (2002), pattern coding focuses on the similarities, differences, causes, frequency, sequence, and correspondence of initially examined codes and identifies their relationship. Therefore, the researcher synthesized the trends to combine participants’ reflections on the process, context, and content into connected patterns. The researcher started analyzing the data after identifying the patterns. According to Xxxxxx et al. (2019), reliability and generalizability are considered as a benchmark for evaluating research outcomes. However, since the research focused on the qualitative data and interprets the unique case of entrepreneurship course in fall term 2020, the case cannot be replicated, and the research findings cannot be generalized (Xxxxxx et al., 2000; Merriam, 1988, as cited in Xxxxxx et al., 2019). Thus, in the context of current research, the assessment of reliability and generalizability cannot be applicable and would be irrelevant.
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Related to Data Collection Procedures and Data Analysis

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  • Data Collection Some downloaded software included in the Materials may generate and collect information about the software and usage and transmit it to Intel to help improve Intel’s products and services. This collected information may include product name, product version, time of event collection, license type, support type, installation status, hardware and software performance, and use. 9.

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