Design and Analysis: A Researcher's HandbookAppropriate for advanced undergraduate/graduate-level courses in Research Methods, Experimental Psychology, Experimental Design, and Advanced Statistics. Designed to bridge the gap between elementary texts in statistics and experimental design and professional source books, this volume provides students with the basic information necessary to design and analyze meaningful experiments in the behavioral, social, and biological sciences. |
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Page 27
... means of the treatment populations . Assuming that the subjects in each treatment group are drawn randomly from corresponding treatment populations , the means of the different groups in the experiment should reflect only the ...
... means of the treatment populations . Assuming that the subjects in each treatment group are drawn randomly from corresponding treatment populations , the means of the different groups in the experiment should reflect only the ...
Page 111
... means and as such does not provide unambiguous information about the nature of the treatment effects . In fact , it may have occurred to you that the overall variation among the treatment means reflected in SS , may be better understood ...
... means and as such does not provide unambiguous information about the nature of the treatment effects . In fact , it may have occurred to you that the overall variation among the treatment means reflected in SS , may be better understood ...
Page 314
... treatment group , Y ,, is found by subtracting from the observed mean Y , a value that takes into consideration the ... means . The group means on the covariate and the dependent variable may be found in Table 14-5 . The overall mean on ...
... treatment group , Y ,, is found by subtracting from the observed mean Y , a value that takes into consideration the ... means . The group means on the covariate and the dependent variable may be found in Table 14-5 . The overall mean on ...
Contents
PARTI | 1 |
PART II | 21 |
Variance Estimates and the Evaluation of the F Ratio | 42 |
Copyright | |
21 other sections not shown
Common terms and phrases
a₁ a₂ Acomp adjustment analysis of covariance analysis of variance average b₁ basic ratios Bcomp cell means Chap coefficients column combined comp comparison matrix completely randomized completely randomized design computational formulas consider deviation df denom df MS F dfnum effect of factor error term estimate evaluate F distribution F ratio F test factorial design factorial experiment FW error independent variable interaction comparisons interaction contrast levels of factor main effect mean square MSS/AB null hypothesis numerical example obtained omega squared orthogonal pairwise comparison partial interaction planned comparisons presented problem procedure quadratic repeated factor S/AB sample size scores significance level simple comparisons simple effects single-df comparisons single-factor design single-factor experiment specific statistical sum of squares three-way interaction tion treatment conditions treatment effects treatment groups treatment means type I error value of F within-groups within-subjects design аз