Statistical Methods for Psychology
appropriate to adjust for random differences among groups. (An analysis of variance on the covariate [Distract] showed no signif ...
Applying this procedure to all cells we obtain the following adjusted cell means These are the cell means given in Exhibit 16.5, ...
Thus, To compare the adjusted means, we have Since , we can reject and conclude that the Active Smoking group performs more poor ...
variable. The second (Distractibility) we controlled by measuring it and treating it as a covariate. In many respects, these are ...
Key Terms If we have available measures on the covariate and are free to assign subjects to treat- ment groups, then we can form ...
Exercises 623 Exercises 16.1 The following hypothetical data were obtained from poor, average, and good readers on the number of ...
a. Run a traditional analysis of variance on these data. b. The following sums of squares have been computed on the data using t ...
16.14 If you have access to SAS, use that program to analyze the data in Exercise 16.7. Add /SS1 SS2 SS3 SS4 to the end of your ...
16.18 Compute the energy savings per household for the data in Exercise 16.16 by subtracting this year’s bill from last year’s b ...
a. Run an analysis of variance on group differences in Gain scores. (You may have already done this in Chapter 14.) b. Now run t ...
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CHAPTER 17 Log-Linear Analysis CHAPTER 17 Log-Linear Analysis Objectives To present log-linear models as ways of exploring discr ...
MOST OF THIS BOOKhas been concerned with variables that are measured on a more or less continuous scale and for which the mean, ...
the computer printout mean. (I use SPSS GENLOG as my example program, but if you have a different program, just apply it to the ...
often adopt a strategy suggesting that the victim is in some way responsible for the crime. By attacking the victim’s past behav ...
In the case of the analysis of variance, we first posited this model to underlie the ob- tained data and then used the model and ...
634 Chapter 17 Log-Linear Analysis (^3) To emphasize this point assume that I wanted to look at Gender and Age in studying Empat ...
Mutual Dependence Model We are now testing a model that assumes that two factors operate jointly, but independ- ently, to produc ...
significant ) That means that unless you allow for an interaction of the variables, you will not be able to fit the data adequat ...
You can think of very much the way you thought of the treatment effect ( ) in the analysis of variance. It is the contribution o ...
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