Create An Example Of A Research Question In An Imaginary Qui

Create An Example Of A Research Question In An Imaginary Quantitative

Create an example of a research question in an imaginary quantitative NURSING study you might design. Identify the independent and dependent variable, and state the research hypothesis for your study. The variables must be categorical variables. Select a nonparametric test ( Chi Square test, mcNemar test, fisher's exact test, Yates correction) that would effectively test this hypothesis. Describe how you can test the above hypothesis using that nonparametric test.

Paper For Above instruction

In the context of nursing research, exploring how categorical variables influence patient outcomes is essential to improving healthcare practices. This paper presents a hypothetical quantitative nursing study, illustrating the formulation of a research question, identification of variables, development of a research hypothesis, and selection of an appropriate statistical test to analyze the data.

Research Question and Variables

Imagine a study aimed at examining the relationship between patients' use of a specific type of medication (categorical independent variable) and the occurrence of side effects (categorical dependent variable). The research question could be: "Is there an association between the use of medication A and the development of side effects among hospitalized patients?"

Here, the independent variable is the medication used (Med A vs. No Med A), which is categorical. The dependent variable is the presence or absence of side effects (Yes vs. No), also categorical.

Research Hypothesis

The null hypothesis (H0) posits that there is no association between medication A usage and the occurrence of side effects. Conversely, the alternative hypothesis (H1) suggests that there is a significant association between the two variables. Specifically:

H0: Medication A use and side effects are independent.

H1: Medication A use and side effects are associated.

Selection of a Nonparametric Test

Given that both variables are categorical, a chi-square test of independence is appropriate for analyzing the relationship. If the sample size is small or the expected frequencies in the contingency table cells are less than 5, Fisher's exact test would be preferable. In cases where the study involves paired or matched data before and after intervention, the McNemar test could be suitable.

Testing the Hypothesis

To test this hypothesis, data collection involves categorizing patients based on medication use and recording whether they experienced side effects. A 2x2 contingency table is constructed:

| | Side Effects (Yes) | Side Effects (No) | Total |

|--------------------------|--------------------|-------------------|--------|

| Used Medication A | a | b | a + b |

| Did Not Use Medication A | c | d | c + d |

| | | | N |

Applying the chi-square test involves calculating the expected frequencies for each cell and comparing these with the observed frequencies. The chi-square statistic determines whether there's a statistically significant association (p-value

In summary, this hypothetical nursing study exemplifies how to formulate a research question involving categorical variables, define hypotheses, select an appropriate nonparametric test, and interpret the results to inform nursing practice. Such methodological rigor supports evidence-based decision-making and enhances patient care quality.

References

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