Week 7 - Assignment: Conduct a Comparative Analysis of Non-Parametric Statistics in Extant Literature

SAGE Research Methods Video

Correlation and Regression - Spearman

Video Title: Correlation and Regression - Spearman

Originally Published: 2016

Publication Date: Sep. 30, 2016

Publishing Company: SAGE Publications, Inc.

City: Thousand Oaks, United States

ISBN: 9781506359229

DOI: https://dx.doi.org/10.4135/9781506359229

(c) SAGE Publications Inc., 2017

HERSCHEL KNAPP: Welcome to Practical Statistics for Nursing Using SPSS. This video shows how to process the Spearman correlation. You can watch the entire video or use the time slider to navigate directly to any time point. The Spearman correlation is quite similar to the Pearson

HERSCHEL KNAPP [continued]: correlation. Before proceeding, it's recommended that you first view the video Ch 11 -Correlation and Regression - Pearson.mp4. In terms of setup and results, the Pearson and Spearman correlations are quite similar. The Spearman correlation has two primary uses.

HERSCHEL KNAPP [continued]: First, remember that for a Pearson correlation, three pretest criteria must be satisfied, normality, linearity, and homoscedasticity. If there's a substantial violation among any of these, then the Spearman correlation is the better choice. Second, the Spearman correlation can be used

HERSCHEL KNAPP [continued]: to compare two ranked lists. For example, suppose a dietitian and a patient are each given five dietary cards and asked to arrange them from most to least preferable foods. The dietitian sorts the cards this way. And the patient sorts the cards this way. The Spearman's rho of 0.900 reveals a strong positive

HERSCHEL KNAPP [continued]: similarity among the orders of these two sorted lists. This example uses the data Ch 11 - Example 02 - Correlation and Regression.sav. This data set contains two variables, the dietitians food

HERSCHEL KNAPP [continued]: sequence and the patients food sequence. To process a Spearman correlational analysis, click on Analyze, Correlate, Bivariate, move Dietitian and Patient to Variables, uncheck Pearson and check Spearman.

HERSCHEL KNAPP [continued]: Click OK and it will process. The correlations table shows a strong positive correlation of 0.900 between dietitian and patient. We also see that the P value is less than 0.05, suggesting that this is a statistically

HERSCHEL KNAPP [continued]: significant correlation. This concludes this video.

SAGE (c) SAGE Publications Inc., 2017

SAGE Research Methods Video

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