Summary
Contents
Subject index
Bruce Frey’s There’s a Stat for That! is a brief, straightforward, and to-the-point guide to deciding which statistical analysis to use and when to use it. Designed for consultants, researchers, students, and those who already have the resources to tell them how to perform the analyses, this text explains why a particular statistical approach is the right one to use. The book affirms that regardless of the group design, once the variables are chosen and the measurement strategy is worked out, one can rest assured that there is a stat for that!
Spearman Correlation Coefficient
Spearman Correlation Coefficient
Predictor Variables | 1 |
Level of Measurement | Ordinal |
Number of Levels | Many |
Number of Groups | 1 |
Criterion Variables | 1 |
Level of Measurement | Ordinal |
Number of Levels | Many |
Measurement Occasions | 1 |
Research Design
The Spearman correlation coefficient is a statistic of association, which means that it tells us about the relationship between variables, not the difference between groups. It is similar to the Pearson correlation coefficient (see Module 31), but instead of looking at the association between two interval level variables, the Spearman correlation is between two ordinal level variables. The analytic strategy is to assign ranks to each of two variables and line them up side by side. By subtracting the ranks of one variable from the other, a bunch of difference scores are created. If the ranks for both variables are exactly the same, the difference ...
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