Validity And Reliability in Quantitative Research Discussion Paper

evaluation process. In agreement with your observation on reliability, it is true that this is an important aspect in any research study and data analysis (Sürücü & Maslakci, 2020). The incorporation of this component ensures that there is consistency in measurement tools. A notable way in which reliability is verified as explained by Mishra et al. (2020) is when a method produces reproducible outcomes under comparable conditions. The author has however cautioned that this highly depends on consistency of the methodology applied. Another area you have talked about is central tendency where you have highlighted these to include mean, median, and mode. In each of these, you have rightly explained by example how each one of them is applied and what they are implications are in assessment analysis. An important aspect that you should perhaps have mentioned is that these measures offer a concise snapshot of the central values of data which help in understanding its typical characteristics. Validity And Reliability in Quantitative Research Discussion Paper

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References

Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of cardiac anaesthesia, 22(1), 67. https://doi.org/10.4103%2Faca.ACA_157_18

Sürücü, L., & Maslakci, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694-2726. https://doi.org/10.15295/bmij.v8i3.1540

Response to Post: Brooke Bailey

Thanks for your informative post especially on t issues you have raised on the elements of validity, reliability and central tendency measures. Commenting on the validity of validity of data during assessments analysis, it is true that it informs educators on the degree to which outcomes genuinely assess the intended objectives. I should also add that validity of data is important as it ensures that the metrics generated from analysis done effectively inform the appropriate intervention for impacted learners. Sürücü and Maslakci (2020) stated that ensuring that data carried out is valid is vital in research and data analysis as I guarantee that the assessments accurately capture the desired knowledge ultimately promoting credibility and effectiveness of the evaluation process. In agreement with your observation on reliability, it is true that this is an important aspect in any research study and data analysis (Sürücü & Maslakci, 2020). The incorporation of this component ensures that there is consistency in measurement tools. A notable way in which reliability is verified as explained by Mishra et al. (2020) is when a method produces reproducible outcomes under comparable conditions. The author has however cautioned that this highly depends on consistency of the methodology applied. Another area you have talked about is central tendency where you have highlighted these to include mean, median, and mode. In each of these, you have rightly explained by example how each one of them is applied and what they are implications are in assessment analysis. An important aspect that you should perhaps have mentioned is that these measures offer a concise snapshot of the central values of data which help in understanding its typical characteristics. Validity And Reliability in Quantitative Research Discussion Paper