Description
RES6003-Module 9 Assignment
Parametric and Equivalent Nonparametric Procedures
Parametric procedures can be appropriate when sample size is large enough to describe an entire population and the sample’s data distribution is similar to the population’s distribution, usually a normal distribution. When a sample size is not large enough to describe an entire population or a sample does not meet certain assumptions required for a parametric procedure, nonparametric procedures are used.
In this assignment, you will create an infographic illustrating parametric and equivalent nonparametric procedures.
Step 1. Research
Research the assumptions tests related to the three major statistical tests from this course: t tests, Pearson’s r, and ANOVA. Note: ANOVA is often considered robust enough to be used with nonparametric data.
Step 2. Illustrate
With an infographic, illustrate which assumptions must be met to use the parametric procedures and what could be done if they are not met (i.e., resample, acquire a larger sample, revert to a nonparametric procedure). See the ACE Digital Tools Center for potential infographics tools or use another tool of your choice.
In the infographic, show the nonparametric alternatives/equivalents to the parametric procedures when assumptions are not met. Provide a brief description of each nonparametric alternative.
Step 3. Submit
Submit the infographic.
Please read the Assignment GuidelinesLinks to an external site. before you begin working.
Module 9 Discussion
Why Are Nonparametric Procedures Necessary?
Some researchers do not believe nonparametric procedures are robust enough to yield reliable results. This may hold true if a sample is small or variances between groups are unequal. But does that make the procedures themselves unreliable, or are they simply as reliable as the data themselves?
For this discussion, consider a small, hypothetical quantitative case study, and develop an original response as follows:
Describe the hypothetical study, and name two variables to compare or correlate.
Propose a sample size. Which nonparametric statistical procedures would you apply and why?
Please read the Discussion Guidelines before posting your response.
Module 9 Readings
The Tao of Statistics: A Path to Understanding (With No Math) – Dana K. KellerRequired Readings:
Chapter 34: Importance vs. Difference – Substantive vs. Statistical Significance
Chapter 47: Digging Deeper – Structural Equation Models
Chapter 48: Abundance – Big Data
Chapter 49: Scarcity – Small Data
Chapter 50: Fiddling – Modifications and New Techniques
Full Text Access:
Follow the steps to login via Institution (American College of Education) to the SAGE website to read eBooks:
1) Click the provided reading URL. 2) In the top-right corner of the SAGE website, click the Sign in: “Institution” button, and then click “Access via your institution.” 3) In the box, begin typing American College of Education and select it from the drop-down menu. Check the box for “Remember my institution” and then click the green “Continue” button. 4) Click the green “OpenAthens/Shibboleth” button. 5) Click on “ACE Student and Alumni Login” and then enter your credentials/login as usual.
After logging in you will be redirected to the eBook on the SAGE website.
Understanding and Evaluating Research – Sue McGregorRequired Reading:
Chapter 9: Reporting Qualitative Research Methods