mrssharonkilgore
Respond to colleagues’ posting in the following way: Extend or…
Respond to colleagues’ posting in the following way:
Extend or constructively challenge colleagues’ work.
Please note that for each response you must include a minimum of one appropriately cited scholarly reference.
POSTING
As a qualitative doctoral researcher investigating IT attrition rates and means of reducing rates via predictive analytics, Yin’s approach is more suitable than Stake’s for my research. Yin’s practice focuses on understanding the phenomenon being studied to identify causal relationships and uncover patterns in the data and is more likely to result in findings that can be generalized and applied in contexts beyond the research.
Yin’s approach could effectively investigate the causes of IT attrition rates by evaluating various data sources like interviews, surveys, and focus groups to gain insights into employee motivation, job satisfaction, and organizational dynamics. This approach is historically noted to aid in uncovering information that can impact IT attrition rates (Paulus, 2023). Saunders et al. (2019) also note that Yin’s approach to case studies is particularly suitable for exploring complex phenomena in real-world contexts.
In contrast, Stake’s approach focuses on providing an in-depth understanding of a single unit of analysis. While this method can help conclude particular cases, it may offer a different level of generalizability than Yin’s approach (Yazan, 2015). Additionally, Stake’s approach does not involve interviews and surveys, essential for uncovering insights on IT attrition rates. Yin’s approach highlights the importance of looking at data from various angles to grasp the complete picture and involves examining multiple perspectives and exploring all potential outcomes before making conclusions.
Yin suggests that researchers use triangulation methods like interviews, surveys, experiments, and document analysis to gather data from different sources and compare their findings. This method can increase the precision of analyzing results or finding correlations in the collected data. Both Stake and Yin have different worldviews regarding qualitative research. Stake uses narrative analysis to find significant themes in individual stories or interviews. On the other hand, Yin suggests combining multiple methods.
Using multiple sources of evidence will be helpful for this research study. It will allow for a comprehensive understanding of how different factors impact IT attrition rates and how predictive analytics can aid in forecasting future outcomes. According to Yin (2015), case studies, surveys, interviews, observations, documents, and archival records should all be utilized to comprehend complex relationships.
Yin’s approach of involving stakeholders at all stages of the research process offers a distinctive viewpoint on IT attrition rates and predictive analytics and ensures that the individuals most affected by the project’s findings or conclusions are more likely to be supported due to their participation. (Yin, 2015). Similarly, Gönderen Çakmak & Kapucu (2021), involving stakeholders in research has been proven to enhance the quality and pertinence of research results, as it allows for the identification of potential biases and important real-world aspects that may have been overlooked. Including stakeholder perspectives in qualitative analyses like case studies can help researchers understand how their recommendations may be perceived or executed within organizations, as suggested by Boblin et al. (2013).
As a doctoral researcher investigating IT attrition rates and predictive analytics, Yin’s approach is more compatible with my worldview than Stake’s. Yin’s methods for collecting evidence are thorough, enabling reliable conclusions about intricate systems. Yin’s focus on involving stakeholders adds an extra dimension to the interpretation of findings, ensuring they are both relevant and practical in real-life situations. This will help me understand the causes behind IT attrition rates. Furthermore, Yin suggests using triangulation methods to compare findings and ensure accurate results.
References
Boblin, B., Rader, T. F., & Dabney, K. (2013). The importance of stakeholder participation in qualitative research: Lessons learned from a school improvement case study. Journal of Educational Administration and Foundations, 24(2), 123-140.
Gönderen Çakmak, E., & Kapucu, N. (2021). Stakeholder involvement in the development of information systems: A review and evaluation of studies published between 2002-2018. Information Systems Frontiers 23(2), 519-533. doi:10.1007/s10796-020-10015-4
Paulus, P. B., & Lerch, Jürgen (2023). Data triangulation as a data quality measure in case study research. Case Method Research & Application, 2(1), 12-24.
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students. 8th ed. Harlow: Pearson Education Limited.
Yazan, S. (2015). Stake’s strategic case study and Yin’s program evaluation: A comparative analysis of two qualitative research methodologies in the field of public administration. International Journal of Public Administration in the Digital Age, 2(1), 8-17.
Yin, R. (2015). Qualitative research from start to finish. New York: Guilford Press.
