Objective: Upon completion of this exercise, the

Objective: Upon completion of this exercise, the learner will be able to: 1. Differentiate the most common statistical tests used in quantitative research. 2. Apply a statistical test to a case. Instructions: 1. Read the Article “Understanding Quantitative Research: Part 2”, see Table 2. 2. For each test in Table 1 Statistical Matrix below, provide a brief explanation of its purpose. Under comments identify if it is appropriate for your project variables and why. Once you complete the matrix, read the cases and assign a statistical test in table 2 and explain/provide rationale why that test will be most applicable for the case variables. Add your answers in Table 2 below. Table 1 The Statistical Matrix Statistical Test Purpose of the Test Comments % 1. One-Sample t-test One-Sample t-test is used when we want to compare a sample mean with the population mean. 10% 2. Paired t-test a statistical test for zero mean difference between two sets of observations. A paired sample t-test measures each subject or entity twice, creating pairs of observations. 10% 3. ANOVA (Analysis of Variance) ANOVA tells you if there are any statistical differences between the means of three or more independent groups. 10% 4. ANCOVA (Analysis of Covariance) ANCOVA is used in examining the differences in the mean values of the dependent variables that are related to the effect of the controlled independent variables while taking into account the influence of the uncontrolled independent variables. 10% 5. Correlation Coefficient correlation coefficients are used to assess the strength and direction of the linear relationships between pairs of variables. 10% 6. Regression A mathematical formula is found to describe the relationship between two variables, allowing prediction of one from the other Multiple regression allows inclusion of more than one predictor and identifies the strongest relationship between variables 10% Table 2 The Cases Cases Test Rationale % Case 1: Purpose: To assess the nursing perceived knowledge of the spontaneous breathing trail (SBT) pre-and post intervention. A quantitative survey design. Sample of 46 nurses. The same nurse completed pre-and-post survey. Tool: a 10-item Likert scale survey Paired T test 10% Case 2: Purpose: To determine the nature of the relationship between attitudes toward continuing education and deterrents to participation in continuing education. Descriptive design. Sample of 33 nurses. Tool: 24-item Likert scale questionnaire taken once. One Sample t test 10% Case 3: Purpose: To compare differences in 3 types of chest tube dressings. RCT study. Sample of 109 patients. Tool: Excel Raw-Intake Data Form (ERIDF), LOM-ratio ANOVA 10% Case 4: Purpose: To assess the relationship between low, moderate, and intense exercise and weight fluctuation. Cohort Study. Sample of 125 patients Tool: ERIDF, LOM- ordinal Regression 10% Note: ERIDF is an Excel spreadsheet where researchers enter data to use for statistical analysis. My question is I am doing my research paper on early initiation of ventilator bundles in the emergency department to prevent ventilator acquired pneumonia. This will be a quality improvement paper and I need to tell what kind of statistical test I would use for this problem. Can you please help?

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