SPSS统计实验报告多因素方差分析.doc

班级 期末成绩 教师等级 1 87 1 1 96 1 1 80 1 1 90 1 1 88 2 1 70 2 1 67 2 2 72 2 2 70 2 2 75 2 2 86 2 2 77 3 2 68 3 2 65 3 3 61 3 3 93 1 3 88 1 3 80 3 3 85 3 3 85 3 3 80 3 多因素方差分析 期末成绩是否受班级不同、教师等级水平的不同而出现显著性差异？并对影响因素做出比较。 Between-Subjects Factors N 教师等级 1 6 2 7 3 8 班级 1 7 2 7 3 7 Tests of Between-Subjects Effects Dependent Variable:期末成绩 Source Type III Sum of Squares df Mean Square F Sig. Corrected Model 942.438a 5 188.488 2.748 .059 122248.548 1 122248.548 1.782E3 .000 教师等级 527.448 2 263.724 3.845 .045 班级 95.880 2 47.940 .699 .513 教师等级 * 班级 24.048 1 24.048 .351 .563 Error 1028.800 15 68.587 Total 133665.000 21 Corrected Total 1971.238 20 a. R Squared = .478 (Adjusted R Squared = .304) 观测变量（期末成绩）总变差平方和=1971.238，总共被分解为四部分。 班级不同引起的变差=95.880 教师等级不同引起的变差=527.448 教师等级和班级不同交互作用引起的变差=24.048 随机因素引起的变差=1028.800. 教师等级的P值=0.045 班级的P值=0.513 交互作用的P值=0.563，交互作用的P值大于显著性水平取0.05的值，即交互作用不显著，即为不饱和模型。 Test Results Dependent Variable:期末成绩 Source Sum of Squares df Mean Square F Sig. Contrast 272.807 2 136.404 1.989 .171 Error 1028.800 15 68.587 Multiple Comparisons Dependent Variable:期末成绩 (I) 教师等级 (J) 教师等级 Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound LSD 1 2 13.57* 4.608 .010 3.75 23.39 3 13.88* 4.473 .007 4.34 23.41 2 1 -13.57* 4.608 .010 -23.39 -3.75 3 .30 4.286 .944 -8.83 9.44 3 1 -13.88* 4.473 .007 -23.41 -4.34 2 -.30 4.286 .944 -9.44 8.83 Tamhane 1 2 13.57* 3.856 .015 2.63 24.51 3 13.88* 3.970 .014 2.81 24.94 2 1 -13.57* 3.856 .015 -24.51 -2.63 3 .30 4.527 1.000 -12.09 12.70 3 1 -13.88* 3.970 .014 -24.94 -2.81 2 -.30 4.527 1.000 -12.70 12.09 Based on observed means. The error term is Mean Square(Error) = 68.587. *. The mean difference is significant at the .05 level. Multiple Comparisons Dependent Variable:期末成绩 (I) 班级 (J) 班级 Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper Bound LS