《單因素、交互作用、簡單效應(yīng)分析ppt課件》由會員分享，可在線閱讀，更多相關(guān)《單因素、交互作用、簡單效應(yīng)分析ppt課件（60頁珍藏版）》請在裝配圖網(wǎng)上搜索。
1、， 實際應(yīng)用中，對方差齊性要求較高，因此需要單獨檢驗。 Compare MeansnOne-Way ANOVA 單因素方差分析General Linear Model 很少用，因變量不止一個時 含有重復(fù)測量的數(shù)據(jù)很常用 One-Way ANOVA 8.1 單因素完全隨機(jī)方差分析 Test of Homogeneity of Variances 閱讀理解成績 3.235 3 28 .037 Levene Statistic df1 df2 Sig.p值由p=.037.05可知，可認(rèn)為方差齊性邊緣顯著 ANOVA 閱讀理解成績 190.125 3 63.375 22.533 .000 78.750
2、 28 2.813 268.875 31 Between Groups Within Groups Total Sum of Squares df Mean Square F Sig. 組間均方組內(nèi)均方F值p值自由度研究報告中的方差分析結(jié)果 自由度、均方、F、P而p值以星號的形式標(biāo)注One-Way ANOVA通常用文字陳述結(jié)果因素較多時則用三線表呈現(xiàn)自由度、均方、F畢業(yè)論文格式 ANOVA 閱讀理解成績 190.125 3 63.375 22.533 .000 78.750 28 2.813 268.875 31 Between Groups Within Groups Total Sum o
3、f Squares df Mean Square F Sig.由方差分析表可知， F(3,28)=22.533,p0.05,球形檢驗差異不顯著 Tests of Within-Subjects Effects Measure: MEASURE_1 20180.000 2 10090.000 4.813 .011 .112 20180.000 1.769 11408.956 4.813 .014 .112 20180.000 1.898 10634.627 4.813 .012 .112 20180.000 1.000 20180.000 4.813 .034 .112 6165.600 2 3
4、082.800 1.471 .236 .037 6165.600 1.769 3485.781 1.471 .237 .037 6165.600 1.898 3249.200 1.471 .237 .037 6165.600 1.000 6165.600 1.471 .233 .037 159324.400 76 2096.374 159324.400 67.214 2370.410 159324.400 72.108 2209.530 159324.400 38.000 4192.747 Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lo
5、wer-bound Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Sphericity Assumed Greenhouse-Geisser Huynh-Feldt Lower-bound Source AOA AOA * 系別 Error(AOA) Type III Sum of Squares df Mean Square F Sig. Partial Eta SquaredF(2，76)=4.813，p=0.0110.05,詞獲得年齡與專業(yè)交互作用不顯著 F(1，38)=0.646，p=0.4260.05,系別
6、的主效應(yīng)不顯著Tests of Between-Subjects EffectsMeasure: MEASURE_1Transformed Variable: Average27890449.200 1 27890449.2 2567.098 .000 .9857022.700 1 7022.700 .646 .426 .017412854.100 38 10864.582SourceIntercept系別Error Type III Sumof Squares df Mean Square F Sig. Partial EtaSquared F(2，76)=4.813，p=0.0110.05
7、,詞獲得年齡與專業(yè)交互作用不顯著F(1，38)=0.646，p=0.4260.05,系別的主效應(yīng)不顯著需要進(jìn)一步分析的：詞的主效應(yīng)顯著，須做多重比較 aoa Pairwise Comparisons Measure: MEASURE_1 -21.500 11.812 .077 -45.412 2.412 -31.000* 8.618 .001 -48.447 -13.553 21.500 11.812 .077 -2.412 45.412 -9.500 10.033 .350 -29.811 10.811 31.000* 8.618 .001 13.553 48.447 9.500 10.03
8、3 .350 -10.811 29.811 (J) AOA 2 3 1 3 1 2 (I) AOA 1 2 3 Mean Difference (I-J) Std. Error Sig.a Lower Bound Upper Bound 95% Confidence Interval for Differencea Based on estimated marginal means The mean difference is significant at the .05 level.*. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments). a.
單因素、交互作用、簡單效應(yīng)分析ppt課件
