单因素、交互作用、简单效应分析

1、单因素、交互作用、简单效应分析实际应用中，对方差齐性要求较高，因此需要单独检验。实际应用中，对方差齐性要求较高，因此需要单独检验。Compare MeansnOne-Way ANOVA 单因素方差分析单因素方差分析General Linear Model很少用，很少用，因变量不因变量不止一个时止一个时 含有重含有重复测量复测量的数据的数据很常用很常用One-Way ANOVA 8.1 单因素完全随机方差分析单因素完全随机方差分析即自变量即自变量即多重比较即多重比较也称事后检也称事后检验验Test of Homogeneity of Variances阅读理解成绩3.235328.037Leve

2、neStatisticdf1df2Sig.p值值由由p=.037.05可知，可知，可认为方差齐性可认为方差齐性边缘显著边缘显著ANOVA阅读理解成绩190.125363.37522.533.00078.750282.813268.87531Between GroupsWithin GroupsTotalSum ofSquaresdfMean SquareFSig.组间均方组间均方组内均方组内均方F值值p值值自由度自由度研究报告中的方差分析结果研究报告中的方差分析结果自由度、均方、自由度、均方、F、P而而p值以星号的形式标注值以星号的形式标注One-Way ANOVA通常用文字陈述结果通常用文字

3、陈述结果因素较多时则用三线表呈现因素较多时则用三线表呈现自由度、均方、自由度、均方、F毕业论文格式毕业论文格式ANOVA阅读理解成绩190.125363.37522.533.00078.750282.813268.87531Between GroupsWithin GroupsTotalSum ofSquaresdfMean SquareFSig.由方差分析表可知，由方差分析表可知， F(3,28)=22.533,p0.05,球形检验差异不显著球形检验差异不显著Tests of Within-Subjects EffectsMeasure: MEASURE_120180.000210090.0

4、004.813.011.11220180.0001.76911408.9564.813.014.11220180.0001.89810634.6274.813.012.11220180.0001.00020180.0004.813.034.1126165.60023082.8001.471.236.0376165.6001.7693485.7811.471.237.0376165.6001.8983249.2001.471.237.0376165.6001.0006165.6001.471.233.037159324.400762096.374159324.40067.2142370.4101

5、59324.40072.1082209.530159324.40038.0004192.747Sphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSphericity AssumedGreenhouse-GeisserHuynh-FeldtLower-boundSourceAOAAOA * 系别Error(AOA)Type III Sumof SquaresdfMean SquareFSig.Partial EtaS

6、quaredF(2，76)=4.813，p=0.0110.05,词获得年龄与专业交互作用不显著词获得年龄与专业交互作用不显著F(1，38)=0.646，p=0.4260.05,系别的主效应不显著系别的主效应不显著Tests of Between-Subjects EffectsMeasure: MEASURE_1Transformed Variable: Average27890449.200127890449.22567.098.000.9857022.70017022.700.646.426.017412854.1003810864.582SourceIntercept系别ErrorType III Sumof SquaresdfMean SquareFSig.Partial EtaSquaredF(2，76)=4.813，p=0.0110.05,词获得年龄与专业交互作用不显著词获得年龄与专业