Measures of Impact
CHAPTER THE TWENTY-SIXTH Measures of Impact This chapter introduces you to measures of “how much” of something—how many people have a disorder at any given time, how much greater a…
CHAPTER THE TWENTY-SIXTH Measures of Impact This chapter introduces you to measures of “how much” of something—how many people have a disorder at any given time, how much greater a…
This is just longer than what we had before, not fundamentally different. A reasonable next step would be to graph the data. However, no one has yet come up with…
The Phi Coefficient, Contingency Coefficient, Yule’s Q and Cramer’s V The most obvious approach is to pretend that the data are actually interval and go ahead and calculate a Pearson…
We can write a linear regression equation like this, but we shouldn’t. First, probabilities don’t go in a straight line forever; they are bounded by zero and one. Second, there’s…
FIGURE 2-1 Bar chart of the five least popular courses FIGURE 2-2 Figure 2-1 redrawn so that the categories are in order of preference and the tick marks are outside…
In psychological jargon, we call these attributes hypothetical constructs; in statistics, they are called factors or latent variables. One purpose of FA is to determine if numerous measures (these could…
A diagram of what this equation does is shown in Figure 20–1. For reasons that will become clear soon, we’ve drawn a box around each of the variables and a…
Measures of Association for Ranked Data This chapter reviews several measures of association for use with ranked data. Spearman’s rho is perhaps the most frequently used and is derived from…
Tests of Significance for Ranked Data Data that can be ranked (ordinal data) should be treated differently from categorical data. This chapter reviews several ranking tests—the Mann-Whitney test (or Wilcoxon…
The empirical way is also the basis for the old diagnostic dictum that if you hear hoof beats, it’s more likely to be coming from a horse than from a…