2022 Introduction to Statistics in Research Mitchell 2nd ed

I N T R O T O R E S E A R C H : D A T A V I S U A L I Z A T I O N & C O M M O N S T A T T E S T S

Dissertation – three stage process Before we discuss all the features of carrying out the study, let’s look at the Ph.D. in Global Leadership three stage process and consider all the components leading up to stage one. For example, as you work through your classes, consider faculty who would add value to your committee. Choosing a dissertation committee is an important decision because they will guide you through the process. More information is available in the dissertation manual.

The three stages of the dissertation process at SMWC Date Course Description

Aug 2024 (2 hr) Oct 2024 (3 hr) Dec 2024 (1 hr)

Stage 1 - GL897 – Qualifying Research Seminar*

1) Develop introduction, literature review and methodology 2) Present a qualifying research introduction 1) Culminate the introduction, literature review and methodology 2) Virtually defend the dissertation proposal 3) Apply to the SMWC IRB 1) Independently conduct, analyze and complete previously approved research 2) Present oral presentation to defend dissertation

Stage 2 – GL898 – Dissertation Proposal

Stage 3 – GL 899 – Dissertation Defense

* At least two of the three residency requirements must be fulfilled prior to register for GL897 (GL Handbook, p. 8)

Carrying out the study When you get to this section, review Chapter 3 – Research Ethics from the DePoy &Gitlin (2020) textbook. It’s difficult to develop a step -by-step set of instructions for this section because each of you will have a different design depending on the purpose of the study. But in all things be ethical. Keep in mind that it is possible you don’t get the results you expected. That’s just part of the dissertation journey. Analyze the data The analysis section will depend on the type of statistic that matches your research. The first step is always to visualize your data or uses statistical software to determine the shape of the distribution. Statistics are normally divided into two camps: parametric versus nonparametric. There are three assumptions that must be valid to use a parametric statistic. 1) interval or ratio data, 2) normally distributed, and 3) homogeneity of variance for groups. Parametric statistics are the most powerful, but if you violate the required assumptions and use them anyway, your statistics and your results will be incorrect. This text written for you has a quick guide to which test to use depending on the type of data you have collected. But here’s the thing, you don’t need to memorize and understand ALL of them. You only need to know the statistical test that works for your data. This will be explained in greater detail in later chapters.

19