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简单交互效应和简单简单效应分析

2017-11-12 4页 doc 18KB 32阅读

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简单交互效应和简单简单效应分析简单交互效应和简单简单效应分析 between-subject design if three-way interaction is signifcant , compute the simple interaction effect. **********simple interaction effect******************** manova total by gender (1,2) depart (1,2) grade(1,3) /design = gender*grade within dep...
简单交互效应和简单简单效应分析
简单交互效应和简单简单效应分析 between-subject design if three-way interaction is signifcant , compute the simple interaction effect. **********simple interaction effect******************** manova total by gender (1,2) depart (1,2) grade(1,3) /design = gender*grade within depart(1) gender*grade within depart(2). if the simple interaction effect is not signifcant , compute the simple effect.如果简单交互效应不显著, 那么就计算 ***************simple effect*********************** manova total by gender (1,2) depart (1,2) grade(1,3) /design = grade within depart(1) gender within depart(1). **************multiple comparisons***************** manova total by gender (1,2) depart (1,2) grade(1,3) /contrast (grade) = special (1 1 1 1 -1 0 1 0 -1) /design = grade within depart(1). manova total by gender (1,2) depart (1,2) grade(1,3) /contrast (grade) = special (1 1 1 1 -1 0 0 1 -1) /design = grade within depart(1). if the simple interaction is significant ,compute the simple simple effect.简单交互效应显著,计算简单简单效应。 ***********simple simple effect********************** manova total by gender (1,2) depart (1,2) grade(1,3) /design = grade within gender(1) within depart(2) grade within gender(2) within depart(2). ******************multiple comparisons******************* manova total by gender (1,2) depart (1,2) grade(1,3) /contrast (grade) = special (1 1 1 1 -1 0 1 0 -1) /design = grade within gender(2) within depart(2). manova total by gender (1,2) depart (1,2) grade(1,3) /contrast (grade) = special (1 1 1 1 -1 0 0 1 -1) /design = grade within gender(2) within depart(2). The within-subject design (组内设计)is similar to the between-subject design . You can change the “design” into “wsdesign(组内)”. And the command contrast is not adap to multiple comparisons in within –subject design. mixed-design if three-way interation effect is significant ,compute the simple interation effect.(如果三项交互效应显著,计算简单交互效应) *************simple interaction effect************* manova a1b1 a1b2 a1b3 a2b1 a2b2 a2b3 by freq(1,3) /wsfactors = a (2) b (3) /wsdesign = a*b /design = mwithin(混合设计) freq(1) mwithin freq(2) mwithin freq(3). if simple interaction effect is significant , compute the simple simple effect. ************simple simple effect ****************** manova a1b1 a1b2 a1b3 a2b1 a2b2 a2b3 by freq(1,3) /wsfactors = a (2) b (3) /wsdesign = a within b(1) a within b(2) a within b(3) /design = mwithin freq(1). manova a1b1 a1b2 a1b3 a2b1 a2b2 a2b3 by freq(1,3) /wsfactors = a (2) b (3) /wsdesign = b within a(1) b within a(2) /design = mwithin freq(1). if simple interaction effect is not significant , compute the simple effect. manova a1b1 a1b2 a1b3 a2b1 a2b2 a2b3 by freq(1,3) /wsfactors = a (2) b (3) /wsdesign = a b /design = mwithin freq(2). if simple interaction effect is significant , compute the simple simple effect. manova a1b1 a1b2 a1b3 a2b1 a2b2 a2b3 by freq(1,3) /wsfactors = a (2) b (3) /wsdesign = a within b(1) a within b(2) a within b(3) /design = mwithin freq(3). manova a1b1 a1b2 a1b3 a2b1 a2b2 a2b3 by freq(1,3) /wsfactors = a (2) b (3) /wsdesign = b within a(1) b within a(2) /design = mwithin freq(3).
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