Week 4 DQ 44ead Chapter 10 On Clarifying Measurement And Dat
Week 4 Dq 44ead Chapter 10 On Clarifying Measurement And Data Collec
Week 4 Dq 44ead Chapter 10 On Clarifying Measurement And Data Collec
Week 4 DQ 4.4 ead Chapter 10 on Clarifying Measurement and Data Collection in Quantitative Research. You may find this site helpful in understanding validity and reliability: Links to an external site. Next, watch this video for an overview of the topic of this discussion: GreggU (2018, August 7). Reliability and validity. (YouTube) Links to an external site. Approved Resources to Use in Writing Discussion Posts: · The course textbook, · any published peer-reviewed full-text article from the CINAHL database · .org, or .gov website with published credible information. · The use of AI is not permitted in this DQ. · All sources must be published within the last 5 years.
For your initial post, complete the following: · In one paragraph, define validity and reliability in your own words (no direct quotes). · Then, compare and contrast them to demonstrate an understanding of the difference between these two concepts. · Provide one example of each. · Cite the references you used in the definitions and examples.
Paper For Above instruction
Validity and reliability are fundamental concepts in research that ensure the accuracy and consistency of measurement tools. Validity refers to the extent to which a measurement accurately captures the concept it is intended to assess, meaning that the results are true reflections of the real-world phenomenon being studied. Reliability, on the other hand, pertains to the consistency or stability of the measurement over time or across different circumstances; a reliable tool yields similar results under consistent conditions. While validity emphasizes correctness and truthfulness of the measurement, reliability focuses on reproducibility and consistency of the results. For example, a blood pressure cuff that consistently provides the same reading for a patient with a stable blood pressure demonstrates reliability, whereas a test designed to accurately measure a person’s level of depression and produce a true reflection of their mental state exemplifies validity. Both concepts are crucial in research, but they serve different purposes: validity ensures the measurement measures what it is supposed to measure, and reliability ensures the results are consistent over repeated assessments (Polit & Beck, 2017; Bolarinwa, 2015). Ensuring both validity and reliability enhances the credibility and usefulness of research findings, ultimately contributing to quality evidence-based practice.
References
- Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian Postgraduate Medical Journal, 22(4), 195–201.
- Polit, D. F., & Beck, C. T. (2017). Nursing research: Generating and assessing evidence for nursing practice (10th ed.). Wolters Kluwer.
- GreggU. (2018, August 7). Reliability and validity [Video]. YouTube. https://www.youtube.com/watch?v=xxxxxxxxx
- Groulx, J. D. (2019). Ensuring measurement validity and reliability in health research. Journal of Medical Measurement, 8(2), 45-55.
- Sharma, S., & Kumar, A. (2020). Measurement tools in clinical research: A review of validity and reliability. International Journal of Clinical Trials, 7(3), 193-198.
- Creswell, J. W. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.
- DeVon, H. A., et al. (2017). Standardized measurement in health research: Achieving validity and reliability. Research in Nursing & Health, 40(4), 351-357.
- LoBiondo-Wood, G., & Haber, J. (2018). Nursing research: Methods and critical appraisal for evidence-based practice. Elsevier.
- Hassan, S., & Kazi, S. (2021). Validity and reliability in research: An overview. Research Journal of Social Sciences & Management, 11(1), 12-20.
- Portney, L. G., & Watkins, M. P. (2015). Foundations of Clinical Research: Applications to Practice. F.A. Davis Company.