By James L. Arbuckle.
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Extra resources for Amos 17.0 user's guide
When the scale of measurement is arbitrary or of no substantive interest, correlations have more descriptive meaning than covariances. Nevertheless, Amos and similar programs insist on estimating covariances. Also, as will soon be seen, Amos provides a simple method for testing hypotheses about covariances but not about correlations. This is mainly because it is easier to write programs that way. On the other hand, it is not hard to derive correlation estimates after the relevant variances and covariances have been estimated.
The subject’s score on this test was the number of advertisements whose location was recalled correctly. Attig repeated the study with the same 40 subjects after a training exercise intended to improve memory performance. There were thus three performance measures before training and three performance measures after training. In addition, she recorded scores on a vocabulary test, as well as age, sex, and level of education. Attig’s data files are included in the Examples folder provided by Amos.
To impose this constraint: E In the drawing area, right-click the double-headed arrow that connects recall1 and place1, and choose Object Properties from the pop-up menu. E Click the Parameters tab. E In the Covariance text box, type a non-numeric string such as cov_rp. E Use the same method to set the covariance between recall2 and place2 to cov_rp. 45 Testing Hypotheses Moving and Formatting Objects While a horizontal layout is fine for small examples, it is not practical for analyses that are more complex.
Amos 17.0 user's guide by James L. Arbuckle.