This Is A Discussion Question. Please Review The Quantitativ

This Is A Discussion Question Please Review The Quantitative Study I

This is a discussion question: Please review the quantitative study I did please convert to a qualitative research. Review this week’s Learning Resources. Pay particular attention to the characteristics of qualitative research, examples of qualitative research problems and questions, and considerations for selecting a sample. Reflect on the qualitative research scenario you discussed in previous weeks. Identify areas you need to build on and refine, and think about the specific selection criteria for your sample. Alignment of scenario elements is important. See the Examples of Aligned and Misaligned Scenarios document, which can be downloaded from the Week 9 Learning Resources area of the classroom. Discussion posts are pass/fail but have minimum criteria to pass. See the Discussion Rubric to ensure you understand the pass/fail criteria.

Paper For Above instruction

Transforming a quantitative study into a qualitative research framework involves a comprehensive understanding of qualitative research characteristics, appropriate problem formulation, and suitable sampling strategies. In this paper, I will review my prior quantitative research and illustrate how it can be reconceptualized into a qualitative study, emphasizing the key elements necessary for such a transition.

First, it is essential to understand the fundamental differences between quantitative and qualitative research. Quantitative research primarily seeks to quantify variables and establish statistical relationships, often through numerical data collection methods such as surveys with closed-ended questions, experiments, or existing data analysis (Creswell, 2014). In contrast, qualitative research aims to explore phenomena in depth, understanding meanings, experiences, and perspectives (Denzin & Lincoln, 2018). It relies on methods like interviews, focus groups, observations, and content analysis, emphasizing contextual understanding rather than numerical generalization.

My original quantitative study aimed to measure the impact of a specific training program on employee productivity levels. It involved numerical data analysis, control groups, and statistical testing to establish causal relationships. To convert this into a qualitative study, I would need to shift focus from measuring effects to exploring employees’ experiences, perceptions, and attitudes regarding the training program.

An appropriate qualitative research question might be: “How do employees perceive and experience the impact of the training program on their work practices?” This question seeks to understand subjective experiences rather than quantify productivity changes.

The characteristics of qualitative research would influence my approach significantly. I would adopt an interpretive paradigm, focusing on understanding individual meanings, and employ methods such as semi-structured interviews or focus groups to gather rich, detailed data. The sample selection process would prioritize purposive sampling to select participants who can provide deep insights into their experiences, such as employees from various departments or roles who participated in the training.

In considering sample selection, I would need to establish clear inclusion criteria, such as employees who completed the training within a specified period and are willing to share their experiences. Sample size in qualitative research is typically smaller, aiming for data saturation—that is, the point at which no new themes are emerging (Guest, Bunce, & Johnson, 2006). This contrasts with quantitative sampling, which emphasizes larger, representative samples.

Reflecting on the qualitative research scenario discussed previously, I recognize the need to refine elements such as research questions, sample criteria, and data collection methods to align with qualitative paradigms. For instance, instead of focusing on measuring performance metrics, I would focus on capturing detailed narratives that illuminate how employees interpret their training experiences and changes in their work behaviors.

In addition, aligning scenario elements critically involves ensuring that research questions are open-ended, exploratory, and aimed at understanding perceptions and meanings. The sample should include those most capable of providing in-depth insights, and the data collection methods should be flexible and interactive, such as interviews or participant observations.

In conclusion, transforming my quantitative study into a qualitative research entails redefining my research questions, adopting suitable methodologies, and carefully selecting a purposive sample that can provide rich, meaningful data. This process enhances understanding of the phenomenon from the perspective of participants, providing depth and context that complements or even surpasses the insights gained through quantitative methods. Building on these aspects will strengthen my qualitative research design and align it effectively with the principles and strategies discussed in this week’s learning resources.

References

Creswell, J. W. (2014). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage Publications.

Denzin, N. K., & Lincoln, Y. S. (2018). The SAGE handbook of qualitative research (5th ed.). SAGE Publications.

Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59-82.

Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.

Patton, M. Q. (2015). Qualitative research & evaluation methods (4th ed.). SAGE Publications.

Silverman, D. (2016). Qualitative research. SAGE Publications.

Marshall, C., & Rossman, G. B. (2016). Designing qualitative research. Sage Publications.

Flick, U. (2018). An introduction to qualitative research. SAGE Publications.

Bryman, A. (2016). Social research methods. Oxford University Press.

Merriam, S. B., & Tisdell, E. J. (2015). Qualitative research: A guide to design and implementation. Jossey-Bass.