Nursing

Module 5: Overview Prediction, Systematic Reviews, Interpretation of Results

This module will address biostatistics content as well as multiple linear regression and modeling. Additionally I have included information about the process of data analysis.

Module Overview

Module on regression, systematic reviews and significance/interpretation of results

Denise Robinson

Module Objectives

At the end of this module students will be able to:

1. Explain the concepts of simple and multiple linear regression. (CO 1) 2. Choose the right regression analysis for a given research problem/question. (CO 1). 3. Distinguish one-way Analysis of Variance (ANOVA) from more advanced ANOVA designs, such

as factorial ANOVA, repeated measure ANOVA, ANCOVA, multivariate analysis of variance

(MANOVA), and multivariate analysis of covariance (MANCOVA)

4. Discuss the importance of systematic reviews for evidence based practice. (CO 1, 2, 3, 4)

5. Categorize the differences between meta-analysis, metasynthesis and mixed studies reviews. (CO 1)

6. Evaluate the application of reviews to practice. (CO 1, 2, 3, 4)

Module Activities

Below is an outline of the items for which you will be responsible throughout the module.

1. Polit, D. & Beck, C. (2022). Nursing research: Generating and assessing evidence for nursing practice. (11 Ed). Walters Kluwer: Chapters 19, 21, pp. 655-675

2. Kim, M., Mallory, C. & Valerio, T (2022). Statistics for evidence based practice in nursing. (3 Ed). : Jones & Bartlett: Chapter 10.

3. Review the module lecture materials. (https://nku.instructure.com/courses/53642/pages/module- 5-lecture-materials)

4. Submit Assignment -- Matrix Table and Summary (https://nku.instructure.com/courses/53642/assignments/894162)

5. Article to discuss in Zoom meeting this week: 2021.Clari et al. barriers to and facilitators of bedside nursing handover. SR and metasynthesis..pdf (https://nku.instructure.com/courses/53642/files/7170208?wrap=1)

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