일원분산분석분석>평균비교>일원배치분산분석=>종속& 요인넣고, 사

일원분산분석
분석>평균비교>일원배치분산분석
=>종속& 요인넣고, 사후분석& 옵션사용
•이원분산분석
분석>일반선형모형>일변량
=>종속& 모수(2개)넣고, 대비, 도표(상호작용추가), 사후분석& 옵션(주효과비교, 기술통계, 동질성검정등)사용
•반복측정분산분석
분석>일반선형모형>반복측정
=>요인이름과수준수넣고, 요인관련변수옮기고(다른개체간요인있으면넣고), 대비, 도표(다른개체간요인있으면상호작용추가), 사후분석& 옵션(주효과비교, 기술통계, 동질성검정등)사용

Results (English) 1:

Members of the analysis of varianceAnalysis > compare > Member placed the average variance analysis= > Put, post-mortem analysis & dependency factors & options• Two-way analysis of variance> > The General linear model analysis of univariate= > Dependent & Medulla (2), contrast, graphics (interaction), post-mortem analysis & options (main effect comparison, descriptive statistics, homogeneity, black, etc.)• Repeated measures analysis of varianceRepeat the measurement of the General linear model analysis > >= > Put the number of levels, factors related to the name of the variable factors to transfer (if the other object, insert the cross-factors), contrast, graphics (if you add another object interacting with cross-factors), post-mortem analysis & options (main effect comparison, descriptive statistics, homogeneity, black, etc.)

Results (English) 2:

One-way ANOVA
analysis> average Compare> one won batch variance
=> dependent & factors put, post analysis and options
• two won variance analysis
Analyze> General Linear Model> Univariate
=> put-dependent and parameters (2), contrast, Figure (more interactive), using forensic analysis and options (main effect of comparison, descriptive statistics, homogeneity test, etc.)
• repeated measures analysis of variance
analyze> General linear model> repeated measures
=> factor names and levels can insert, move factors related variables ( If you use different objects placed between factors), contrast, Figure (If further interaction between different objects factors), post-analysis and options (main effect of comparison, descriptive statistics, homogeneity test, etc.)

Results (English) 3:

a distributed analysis.analysis of "average" a comparison of analysis of variancethe "=" it is in the use of analysis & choiceanalysis of variance and twoanalysis of general linear model, while the ".""the trees", (2) in contrast, the (interaction), and the analysis & choice), and compared with the results, technical statistics, the quality of the use of black, etc.)and the repeated measurement analysis of variancegeneral linear model analysis "," repeated measurementthe name "level, can put the factors related to variables (and other objects is not deep but very necessary, in contrast to fig. (a), and the interaction is not deep but very necessary to add the option of (), and compared with the results, technical statistics, the quality of the use of black, etc.)