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NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Distinguish between reliability and validity in research design. Using a translational research article from your graphic organizer, analyze the methods and results sections to discuss reliability and validity as it relates to the translational research. Include the permalink to the article in your reference.

Re: Topic 4 DQ 1 NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Studies or research should go through a critical appraisal process in which the study is evaluated for validity, reliability and applicability (Melnyk & Fineout-Overholt, 2019). Reliability of a research design is the assessment of the intervention whether the intervention worked and the ability to reproduce similar results. Validity of a research study is verifying the study is accurate and the methods used to measure are accurate as well.NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Validity is ensuring the results are close to the truth and did the researchers conduct the study using the best research methods (Melnyk & Fineout-Overholt, 2019). NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

In the article I used of effective implementation of QBL the reliability of this study could easily be reproduced in any facility. The intervention did work in showing the use of QBL vs. EBL was effective in increasing the awareness and monitoring of blood loss.NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

The results did not show QBL measured more effective than EBL but was highly effective in the early assessment and treatment for PPH. This study also revealed that this process could be reproduced and produce similar effects. The validity of the study showed the subjects were randomly chosen through a criterion that of similar maternal demographics (Coviello et al., 2019).

The results were compared preimplantation a post implementation with good quality data that is measurable and accurate as well as verifiable. Utilizing the definitions of reliability and validity can help evaluate the evidence you choose to use in a study to verify the data is accurate and you will be successful in our EBP project. NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

References NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Coviello, E., Iqbal, S., Kawakita, T., Chornock, R., Cheney, M., Desale, S., & Fries, M. (2019). Effect of implementing quantitative blood loss assessment at the time of delivery. American Journal of Perinatology36(13), 1332–1336. https://doi.org/10.1055/s-0039-1688823

Melnyk, B. M., PhD, RN. APRN-CNP, FAANP, FNAP, FAAN, & Fineout-Overholt, E., PhD, RN, FNAP, FAAN. (2019). Evidence-Based Practice in Nursing& Healthcare A Guide to Best Practice (4th ed.). Wolters Kluwer. NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

RESPOND HERE (150 WORDS, 3 REFERENCES) NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Hello,

This is insightful. Studies or research should go through a critical appraisal process in which the study is evaluated for validity, reliability, and applicability. Validity and reliability are concepts applied to evaluate the quality of research processes (Keogh et al., 2019). The two approaches indicate how well the technique, method, or statistical tests measures what is being studied in the research processes. NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Validity is more concerned with the accuracy of the statistical measure, while reliability is about the consistency of a given measure. Reliability may also refer to the extent to which the statistical results can be reproduced in case the research is repeated under similar conditions (Coviello et al., 2019). On the other hand, validity refers to the extent to which the study results measure what they are expected to measure (Rose & Johnson, 2020).

Validity can also be applied to check how well the results correspond to the already established theories as well as other measures under the same concept.NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

References

Keogh, J. W., Cox, A., Anderson, S., Liew, B., Olsen, A., Schram, B., & Furness, J. (2019). Reliability and validity of clinically accessible smartphone applications to measure joint range of motion: A systematic review. PloS one14(5), e0215806. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0215806

Rose, J., & Johnson, C. W. (2020). Contextualizing reliability and validity in qualitative research: toward more rigorous and trustworthy qualitative social science in leisure research. Journal of Leisure Research51(4), 432-451. NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research designhttps://www.tandfonline.com/doi/abs/10.1080/00222216.2020.1722042 

Coviello, E., Iqbal, S., Kawakita, T., Chornock, R., Cheney, M., Desale, S., & Fries, M. (2019). Effect of implementing quantitative blood loss assessment at the time of delivery. American Journal of Perinatology36(13), 1332–1336. https://doi.org/10.1055/s-0039-1688823

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Re: Topic 4 DQ 1 NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

In research, data findings must be valid and credible; therefore, reliability and validity are measurements applied to ensure this goal is

NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design
NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

achieved. Reliability is consistency in measurement when measured repeatedly using different methods or sample groups (Sileyew, 2019). Reliable measures are those with low chance of errors. Whereas validity is defined as the accuracy of the measurement (Sileyew, 2019). High reliability means the measurement is valid.

The translational study I selected for my EBP project focused on the effects of a structured educational program as it relates to hypertension. The program consisted of specific educational topics regarding hypertension, dietary modifications and encouragement of exercising. A multicenter randomized trial was employed in the design of this study which included a total of 256 participants in 13 centers who were randomly assigned to two groups. NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Group one (intervention) received immediate patient education regarding blood pressure control and group two (control) received patient education six months later. Both groups were assessed after six and 12 months. In group one the office and home systolic blood pressure decreased significantly after six months in comparison to group two as reflected by p<0.01 (Perl et al., 2016).

According to Perl et al. (2016), this study has provided statistically significant evidence that patients who participate in a multifaceted educational program will manage hypertensive disease more effectively than patients who do not because of center-specific standards of care. This was demonstrated in the potential differences in blood pressure between the two groups reflecting the significant impact of the educational program (Perl et al., 2016).

References NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Perl, S., Niederl, E., Kos, C., Mrak, P., Ederer, H., Rakovac, I., Beck, P., Kraler, E., Stoff, I., Klima, G., Pieske, B. M., Pieber, T. R., & Zweiker, R. (2015). Randomized evaluation of the effectiveness of a structured educational program for patients with essential hypertension. American Journal of Hypertension, 29(7), 866-872. https://doi.org/10.1093/ajh/hpv186

Sileyew, K. J. (2019). Research design and methodology. Abu-Taieh, E., El Mouatasim, A. & Al Hadid, I. H. (Eds.) Cyberspace. IntechOpen. doi: 10.5772/intechopen.85731

RESPOND HERE (150 WORDS, 3 REFERENCES) NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Hi,

This is insightful. In research, data findings must be valid and credible; therefore, reliability and validity are measurements applied to ensure this goal is achieved. While undertaking research processes, it is essential to consider validity and reliability. Validity and reliability are concepts applied to evaluate the quality of the research process (Klima et al., 2015).

The two concepts show how well a technique, method, or the test measures something in the research process. Reliability refers to the consistency of a measure while validity may refer to the accuracy of the measure. High reliability means the measurement is valid (Pietrabissa et al., 2020). The translational study I selected for my EBP project focused on the effects of a structured educational program as it relates to hypertension. Reliability may also refer to the extent to which the statistical results can be reproduced in case the research is repeated under similar conditions.

To ensure accuracy in the research process, there is the need for the researchers to consider both the validity and reliability (Fuller et al., 2020). NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

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Epidemiology plays a significant role in the life of a researcher, particularly ones dealing with population health. As a study of diseases and their characteristics, they enable researchers to understand numerous aspects of the same and their impact on a population in question. Indeed, epidemiology illuminates various aspects of diseases since it is premised on the assumption that population health is affected by numerous risk factors.

In the process of researching and addressing the risk factors affecting a population, epidemiology elucidates a health population, highlights risk factors and then examine the association between the health of a population and the multifarious risk agents (Gulis & Fujino, 2017). In order to achieve the above, epidemiology adopts the usage of the famous host-agent-environment triangle for purposes of describing how an individual, hence a population, becomes ill.

The occurrence of a disease happens when an individual interacts with a vector. Whereas the latter has to be capable of causing a disease, the former has to be vulnerable to the same (Frerot et al., 2018). The interaction occurs within an environment that provides an enabling setting. However, epidemiology is not just limited to the interaction between the host and the vector within an environment, but also extends to the analysis of the health status of the people or population inhabiting the environment.

The epidemiological undertakings by scientists have changed greatly as new datasets and disciplines have been introduced to the study of diseases. For instance, the epidemiology of heart conditions will entail the examination of risk factors at a community level, say, among African-Americans. During such a study, conceptual frameworks will be built that will reflect the comprehension of African-Americans’ cultural, sociological, and structural factors that drive the existence of heart conditions among them.

In addition, the differences in environmental exposures vis-à-vis the prevalence of cardiovascular diseases among this population will also be used to understand it. From the example, it becomes clear that epidemiology plays a significant role in understanding diseases at a higher level. NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

References NUR 550 Topic 4 DQ 1 Distinguish between reliability and validity in research design

Gulis, G., & Fujino, Y. (2015). Epidemiology, population health, and health impact assessment. Journal of epidemiology, 25(3), 179–180. doi:10.2188/jea.JE20140212

Frérot, M., Lefebvre, A., Aho, S., Callier, P., Astruc, K., & Aho Glélé, L. S. (2018). What is epidemiology? Changing definitions of epidemiology 1978-2017. PLoS ONE, 13(12), 1–27. https://doi.org/10.1371/journal.pone.0208442