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 398
... Bcomp . interaction is summarized in Table 18-4 . A 3 x 3 mixed factorial design with n = 2 subjects is represented at the top . AnA × Bcomp partial factorial , created by superimposing a comparison between levels b ̧ and b2 , is ...
... Bcomp . interaction is summarized in Table 18-4 . A 3 x 3 mixed factorial design with n = 2 subjects is represented at the top . AnA × Bcomp partial factorial , created by superimposing a comparison between levels b ̧ and b2 , is ...
Page 410
... Bcomp , is a pairwise comparison ( 1 , 0 , 0 , -1 ) , the adjustment factor is 1 and no correction is necessary , as it is when complex comparisons are involved . The degrees of freedom are also obtained by pooling . That is , the df ...
... Bcomp , is a pairwise comparison ( 1 , 0 , 0 , -1 ) , the adjustment factor is 1 and no correction is necessary , as it is when complex comparisons are involved . The degrees of freedom are also obtained by pooling . That is , the df ...
Page 411
... Bcomp . x F = MS Bcomp . XS / Acomp 7.56 = = 1.69 4.48 is not significant . 10 10 The conclusion is unchanged if we use the error term based on all three groups . More specifically , the SS for the Bcomp . S interaction for group a1 is ...
... Bcomp . x F = MS Bcomp . XS / Acomp 7.56 = = 1.69 4.48 is not significant . 10 10 The conclusion is unchanged if we use the error term based on all three groups . More specifically , the SS for the Bcomp . S interaction for group a1 is ...
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