Non-Parametric Analysis - Edu Lowcostlivin

Course Feature

Cost

Free
Provider

Udemy
Certificate

No Information
Language

English
Start Date

2015-09-01
Learners

No Information
Duration

No Information
Instructor

Drew Birnie

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4.3

8,171 Ratings

This Non-Parametric Analysis course is the perfect way to double the number of tools in your stats tool belt. It covers 24+ videos totaling over 3 hours of instructional content on non-parametric statistics, and provides step-by-step guidance on how to conduct, interpret, and report each test in SPSS. As a bonus, you'll also learn how to make quality box plots in SPSS for use in research publications or professional presentations. With lifetime access to the course and the Udemy 30-day money back guarantee, you can be sure you'll be ready to tackle any non-linear, “chunked”, or qualitative data that comes your way.

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 13th, 2023]

Skills and Knowledge Acquired:
This course on Non-Parametric Analysis will provide learners with the skills and knowledge to effectively analyze non-linear data, survey data, "chunked" data, qualitative judgments measured on a ratings scale, and data that do not follow a normal distribution. Learners will gain an understanding of the fundamentals of non-parametric tests, and will be able to conduct, interpret, and report each test in SPSS. Additionally, learners will be able to create quality box plots in SPSS for use in research publications or professional presentations.

Contribution to Professional Growth:
This course on Non-Parametric Analysis provides a comprehensive overview of the most common non-parametric statistics used in research. It offers step-by-step instructions on how to conduct, interpret, and report each test in SPSS, as well as a bonus module on creating quality box plots. By learning these new stats, professionals can expand their toolkit and gain a better understanding of the tests they already know how to run. This course can help professionals grow their skills and knowledge, and become more confident in their research and data analysis.

Suitability for Further Education:
This Non-Parametric Analysis course is suitable for preparing further education as it provides comprehensive instruction on non-parametric statistics used across many different fields of research. It covers the fundamentals of a test, step-by-step instructions on how to conduct, interpret, and report each test in SPSS, and a bonus module on how to make quality box plots in SPSS. Additionally, the course provides lifetime access to 24+ videos totaling over 3 hours of instructional content, as well as downloadable data sets for practice. Finally, the course is backed by the Udemy 30-day money back guarantee.

Course Syllabus

Introduction

General Guidelines for Selecting Parametric vs. Non-parametric Tests

Analyzing Distributions and Group Variances

Mann-Whitney: Two Independent Groups

Kruskal-Wallis: Three or More Independent Groups

Wilcoxon: Two Related, Matched, or Repeated Measures

Friedman: Three or More Related/Repeated Measures

Non-Parametric Correlation: Spearman's Rho

BONUS: Graphing Non-Parametric Data

Course Conclusion

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