Homework Help | Include definitions of all variables

For this section of your research proposal assignment, you will carefully design a plan for analyzing your quantitative data. Explain in detail how you will go about analyzing your data. Be sure to:

Include definitions of all variables
Identify your null hypothesis and research hypothesis
Include the type of analysis to be conducted (correlation, t-test, confidence interval, regression, ANOVA, ANCOVA, etc.)
Explain why this type of analysis is most appropriate for your research
Identify the significance level (typically set to .05, but may be set to .01 or .10)
Explain what results you are looking for in your quantitative study (how will you know if you will accept or reject your null and research hypothesis?)

MODEL ANSWER

For any research, data analysis plays an essential role as it helps derive sense from the data obtained. Additionally, from the data analysis, a reasonable conclusion and prove of hypothesis can be | PLACE YOUR ORDER NOW AT writtask.com | possible to uncover the patterns hidden in the raw data, identify new correlations and trends as well as make a better meaning for the research question at | PLACE YOUR ORDER NOW AT writtask.com | is at the data analysis stage that the data is evaluated and if there are any possible outliers, they are left put at the analysis | PLACE YOUR ORDER NOW AT writtask.com | section will therefore outline the specific steps that will be taken in analyzing the data.

Definition of Variables

Anxiety: the state of respondents feeling disturbed with a Hamilton score of greater than 44

Stress: The feeling of being unsettled

Null and Research hypothesis

The null hypothesis for this research will be, there is no correlation between preoperative surgical procedures and the patient’s level of stress and | PLACE YOUR ORDER NOW AT writtask.com | research hypothesis on the other hand will state that instances of surgery are accompanied by preoperative instances of stress and anxiety.

Type of Analysis to be Conducted

The first step in any data analysis process is to check for (in)consistencies in the data and any unused values. Any unfinished questionnaires will be omitted from the data analysis. Furthermore, before entry of data, proper coding and editing will be done. The next step after verifying the data validity will be to do data analysts.

To assess preoperative stress and anxiety, the Hamilton scale will be | PLACE YOUR ORDER NOW AT writtask.com | statistical analysis will be done in SPSS. Furthermore, a logistic regression analysis will be used to find the main causes of preoperative stress. Additionally, the strength of the correlation between the different variables will be given using AOR maintained at a 95% confidence interval. Furthermore, the p-value will be held at less than 0.05 as | PLACE YOUR ORDER NOW AT writtask.com | model is preferred in doing the data correlation analysis as it is fast and easy to implement. Additionally, since the data could be linearly separable, logistic regression can be very efficient in providing the correlation between the given data set. The model is often used to predict the odds of being a case as dictated by the independent variable values or the predictors.

Besides the logistic regression whose role is only to find the correlation between variables; stress and anxiety in a preoperative setting, the Hamilton scale will also be used to assess the patient’s level of anxiety. The scale is reliable as it is not limited to cut-point | PLACE YOUR ORDER NOW AT writtask.com | often taken as the gold standard of measuring anxiety since it is simple, has brevity and also has a presumed ability to measure the general anxiety of | PLACE YOUR ORDER NOW AT writtask.com | has been known to be very efficient in maximizing on anxiety measurement without overlapping with other emotional habits such as | PLACE YOUR ORDER NOW AT writtask.com | for patients that could be depressed or suffering from other mild conditions likely to affect measurement results, this method will be key.

Significance Level

In this research, the statistical significance level which can be expressed as a P-value will be held at < 0.05. This level is statistically significant as it indicates that there is a solid indication against the null hypothesis. The probability for the null hypothesis to be correct is 5%. Consequently, the research hypothesis can be adopted while the null hypothesis can be rejected.

Possible Results in the Quantitative Study In this study, the most underlying question is the reason for anxiety during a preoperative experience. Some of the possible reasons that participants are likely to give include having the fear of death, possibility of an emerging complication during the operation, the fear of unexpected results, mistakes from the surgical