# Statistical Tests

To writer 7855

Select one of the more common statistical tests used in nursing research. State which statistic you selected. What level of measurement is required for using your selected statistical test? Provide an example of how your selected statistical test could be used in a nursing research study.

Statistical tests offer a structure or a platform for building quantitative decisions regarding a process or processes. Rebekah and Ravindran (2018) mentioned that statistical tests help explore quantitative data trends, patterns, and relationships. The Chi-Square Test is commonly utilized in evaluating the connection between categorical variables. Thus, the null hypothesis in this test depicts no relationship between the variables, meaning they are independent.

Gilbert and Prion (2016) mentioned that the Chi-Square Test is non-modulus or distribution-free and should be utilized when variables’ measurement level is ordinal or minimal. The Chi-Square Test is applied when comparing observed and expected results in nursing research. I will describe the Analysis of Variance (ANOVA), a statistical test for comparing conditions or independent groups to explore the difference in a continuous variable. It helps put distinct observed variance data into components for extra tests. It is also useful in understanding relationships between dependent and independent variables. Notably, the ANOVA analyzes the effect of factors by comparing various samples (Rebekah & Ravindran, 2018).

In the ANOVA, the measurement level for the dependent variable must be interval or ratio (i.e., continuous). On the other hand, the measurement level for the independent variable must be nominal or ordinal (i.e., categorical). When handling categorical variables, nursing researchers should utilize the Chi-Square Test and use ANOVA when handling both categorical and continuous variables.

References

Gilbert, G. E., & Prion, S. (2016). Making sense of methods and measurement: The Chi-Square Test. Clinical Simulation in Nursing, 12(5), 145â€“146. https://doi.org/10.1016/j.ecns.2015.12.013

Rebekah, G., & Ravindran, V. (2018). Statistical analysis in nursing research. Indian Journal of Continuing Nursing Education, 19(1), 62â€“70. https://www.ijcne.org/article.asp?issn=2230-7354;year=2018;volume=19;issue=1;spage=62;epage=70;aulast=Rebekah

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THE INSTRUCTOR ASKED ME THIS QUESTION AND THIS QUESTION SHOULD BE ANSWERED:

Based on the information you have presented here did you consider using a different statistical test, if so, which? If not which, could you utilize?

# STATISTICAL TESTS

Discussion Prompt

Select one of the more common statistical tests used in nursing research. State which statistic you selected. What level of measurement is required for using your selected statistical test? Provide an example of how your selected statistical test could be used in a nursing research study.

MAKE A PEER RESPONSE OR REVIEW OF THE ESSAY BELOW

•
• Length: A minimum of 150 words per post, not including references
• Citations: At least one high-level scholarly reference in APA per post from within the last 5 years

The Chi-Square Test is one of the most commonly used statistical tests.  This test is an appropriate choice to use when there are two distinct answer categories for a particular question.  For example a yes or no question (Kossovsky, 2021).  The test is a, â€œnon-parametric, extremely fast, and applicable to bias-corrected distance correlation with a strong defining parameterâ€ (Shen et al., 2021).   For my PICOT question, Evaluation on implementing health promotion in the management of vitamin D deficiency in primary clinics.  The chi-Square is an appropriate test to answer this question.  Does nursing intervention make a difference?  However, to further the power of this study a step further might be useful, for this application we might take Chi-Squared a step further for a distance Correlation Chi-Squared test (Chen, 2021).  Another test that might be applicable is the Omnibus Test.  In this test we are given the use of more than one degree of freedom (Sharpe, 2015). With this test we are able to do a quick easy analysis with additional categories.  An example is does nursing eduction improve supplementation of vitamin D intake, when intake is defined into three groups.  Group one no supplementations between control and study arms.  Group two, limited supplementation, and group three appropriate supplementation verses no supplementation.

Reference

Kossovsky, A. (2021). On the Mistaken Use of the Chi-Square Test in Bedfordâ€™s Law. Stats. http://doi.org/10.3390/stats4020027.

Sharpe, Donald. (April, 2015). Your Chi-Square Test is Statistically Significant: Now What? Practical Assessment Research & Evaluation, 20, pp 1-10. do:https://doi.org/10.7275/tbfa-x148.

Shen, C., Panda, S., & Vogelstein, J. (May, 2021). The Chi-Squared Test of Distance Correlation. Stat. https://arxiv.org/pdf/1912.12150.pdf .

# STATISTICAL TESTS

Introduction of assignemnt

Select one of the more common statistical tests used in nursing research. State which statistic you selected. What level of measurement is required for using your selected statistical test? Provide an example of how your selected statistical test could be used in a nursing research study.

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MAKE A REVIEW or PEER RESPONSE ON THE ASSIGNEMNT BELOW

• Length: A minimum of 250 words per post, not including references
• Citations: At least one high-level scholarly reference in APA per post from within the last 5 years

The Chi-Square Test is one of the most commonly used statistical tests.  This test is a appropriate choice to use when there are two distinct answer categories for a particular question.  For example a yes or no question (Kossovsky, 2021).  The test is a, â€œnon-parametric, extremely fast, and applicable to bias-corrected distance correlation with a strong defining parameterâ€ (Shen et al., 2021).   For my PICOT question, Evaluation on implementing health promotion in the management of vitamin D deficiency in primary clinics.  The chi-Square is an appropriate test to answer this question.  Does nursing intervention make a difference.  However, to further the power of this study a step further might be useful, for this application we might take Chi-Squared a step further for a distance Correlation Chi-Squared test (Chen, 2021).  Another test that might be applicable is the Omnibus Test.  In this test we are given the use of more than one degree of freedom (Sharpe, 2015). With this test we are able to do a quick easy analysis with additional categories.  An example is does nursing eduction improve supplementation of vitamin D intake, when intake is defined into three groups.  Group one no supplementations between control and study arms.  Group two, limited supplementation, and group three appropriate supplementation verses no supplementation.

Reference

Kossovsky, A. (2021). On the Mistaken Use of the Chi-Square Test in Bedfordâ€™s Law. Stats. http://doi.org/10.3390/stats4020027.

Sharpe, Donald. (April, 2015). Your Chi-Square Test is Statistically Significant: Now What? Practical Assessment Research & Evaluation, 20, pp 1-10. do:https://doi.org/10.7275/tbfa-x148.

Shen, C., Panda, S., & Vogelstein, J. (May, 2021). The Chi-Squared Test of Distance Correlation. Stat. https://arxiv.org/pdf/1912.12150.pdf .