spss16.0重复测量数据分析步骤(原创).pdf

应用应用 SPSS16.0 进行重复测量数据分析进行重复测量数据分析 原始数据： Spss 变量设置： 导入数据： 1．通过球形检验(Mauchly’s Test of Sphericity) 的结果判断重复测量数据之间是否存 在相关性： Analyze→General Lineal Model→Repeated Measures Within- subject factor name 框: 改为t “定义重复测量的变量名为t” Number of levels 框: 键入4: add “重复测量的次数为4 次” Define Within- subject variables 框: t1-t4 “t1-t4 代表4次测量结 果” Between subject factor 框: group Model: 选中Custom “自定义模型” Within- subject Model 框: t “分析4次重复测量间有无趋 势” Between subject Model 框: group “只分析主效应” Continue OK 输出结果： Mauchly's Test of Sphericityb Measure:MEASURE_1 Epsilona Within Subject s Effect Mauchly's W Approx. Chi-Square df Sig. Greenhouse-Gei sser Huynh-Feldt Lower-bound t .386 14.977 5.011.611.761 .333 如果该检验P 0. 05, 说明重复测量数据之间实际上不存在相关性, 数据符合Huynh-Feldt 条件, 可按单因素方差分析方法来处理; 如果P 0. 05, 说明重复测量数据之间存在相关 性, 不可按单因素方差分析方法处理。

实际应用中的重复测量设计资料以后者多见, 应使用 重复测量的方差分析模型 球形检验的结果P 0. 05, 说明4次重复测量的数据间存在高 度的相关性, 宜用多元方差分析进行检验. Tests of Within-Subjects Effects Measure:MEASURE_1 Source Type III Sum of Squares df Mean SquareF Sig. Sphericity Assumed 15607.63635202.54565.910 .000 Greenhouse-Geisser 15607.6361.8328517.62265.910 .000 Huynh-Feldt 15607.6362.2846832.46865.910 .000 t Lower-bound 15607.6361.00015607.63665.910 .000 Sphericity Assumed 3408.3116568.0527.197 .000t * zb Greenhouse-Geisser 3408.3113.665930.0167.197 .000 Huynh-Feldt 3408.3114.569746.0197.197 .000 Lower-bound 3408.3112.0001704.1557.197 .005 Sphericity Assumed 4025.6185178.934 Greenhouse-Geisser 4025.61831.151129.230 Huynh-Feldt 4025.61838.834103.663 Error(t) Lower-bound 4025.61817.000236.801 此处t 和t* group 的P 值均 0. 01, 时间因素以及时间因素和分组的交互作用有统计学 意义, 说明测量指标有随时间变化的趋势并且时间因素的作用随着分组的不同而不同。

Tests of Within-Subjects Contrasts Measure:MEASURE_1 Source t Type III Sum of Squares df Mean SquareF Sig. Linear 7426.81717426.81762.522 .000 Quadratic 6612.93816612.93888.558 .000 t Cubic 1567.88111567.88136.176 .000 Linear 1903.8032951.9028.014 .004 Quadratic 1092.2602546.1307.314 .005 t * zb Cubic 412.2472206.1244.756 .023 Linear 2019.37917118.787 Quadratic 1269.4521774.674 Error(t) Cubic 736.7861743.340 Tests of Between-Subjects Effects Measure:MEASURE_1 Transformed Variable:Average Source Type III Sum of Squares df Mean SquareF Sig. 1106807.398 11106807.3981.851E3.000 zb 6841.854 23420.9275.720.013 Error 10166.262 17598.015 此处group 的P 值 0. 05, 说明分组因素起作用 2．每个时间点上3个分组之间的两两比较 Analyze→General Lineal Model→Multivariate “调用多元方差分析过程” Dependent Variables: 选入t1- t4 Fixed Factors: group Continue Model: 选中Custom Model 框: group Continue Post Toc Post Toc Tests f or : group 选中LSD和Tukey HSD “选择LSD 为两两比较的方法, 两两比较方法的选择原则同单因素方差分析” Continue Options Display Means f or: group Display: Descriptive statistics “输出对资料的描述” Continue OK 输出数据： Between-Subjects Factors N 1 11 2 5 zb 3 4 Descriptive Statistics zb Mean Std. DeviationN 1 1.0070E26.0507411 2 1.0431E28.194985 3 1.0294E210.218844 t1 Total 1.0205E27.2430320 1 1.5454E217.6150111 2 1.4929E29.003335 3 1.1831E215.365784 t2 Total 1.4598E220.5926820 1 1.5070E220.3217211 2 1.4014E27.905375 3 1.2058E216.020694 t3 Total 1.4203E220.3076320 1 1.5300E217.9762311 2 1.3213E29.535545 3 1.2088E211.008544 t4 Total 1.4135E219.9374920 Post Hoc Tests Multiple Comparisons 95% Confidence Interval Dependent Variable (I) zb (J) zb Mean Difference (I-J) Std. ErrorSig. Lower Bound Upper Bound 2 -3.61024.02775.650-13.9428 6.72241 3 -2.23854.36017.866-13.4239 8.9469 1 3.61024.02775.650-6.7224 13.94282 3 1.37165.00945.960-11.4794 14.2227 1 2.23854.36017.866-8.9469 13.4239 Tukey HSD 3 2 -1.37165.00945.960-14.2227 11.4794 2 -3.61024.02775.383-12.1080 4.88761 3 -2.23854.36017.614-11.4377 6.9606 1 3.61024.02775.383-4.8876 12.1080 t1 LSD 2 3 1.37165.00945.788-9.1974 11.9407 1 2.23854.36017.614-6.9606 11.43773 2 -1.37165.00945.788-11.9407 9.1974 2 5.24868.41231.809-16.3320 26.82921 3 36.2224*9.10660.00312.8607 59.5840 1 -5.24868.41231.809-26.8292 16.33202 3 30.9737*10.46268.0234.1332 57.8143 1 -36.2224*9.10660.003-59.5840 -12.8607 Tukey HSD 3 2 -30.9737*10.46268.023-57.8143 -4.1332 2 5.24868.41231.541-12.4998 22.99711 3 36.2224*9.10660.00117.0091 55.4356 1 -5.24868.41231.541-22.9971 12.49982 3 30.9737*10.46268.0098.8994 53.0481 1 -36.2224*9.10660.001-55.4356 -17.0091 t2 LSD 3 2 -30.9737*10.46268.009-53.0481 -8.8994 2 10.56119.38739.512-13.5209 34.64311 3 30.1244*10.16215.0224.0549 56.1939 1 -10.56119.38739.512-34.6431 13.52092 3 19.563311.67542.243-10.3883 49.5149 1 -30.1244*10.16215.022-56.1939 -4.0549 Tukey HSD 3 2 -19.563311.67542.243-49.5149 10.3883 2 10.56119.38739.276-9.2446 30.36671 3 30.1244*10.16215.0098.6842 51.5647 1 -10.56119.38739.276-30.3667 9.24462 3 19.563311.67542.112-5.0696 44.1963 1 -30.1244*10.16215.009-51.5647 -8.6842 t3 LSD 3 2 -19.563311.67542.112-44.1963 5.0696 2 20.86998.23060.053-.2445 41.98431 3 32.1187*8.90989.0069.2617 54.9758 1 -20.86998.23060.053-41.9843 .24452 3 11.248810.23668.528-15.0119 37.5096 1 -32.1187*8.90989.006-54.9758 -9.2617 Tukey HSD 3 2 -11.248810.23668.528-37.5096 15.0119 2 20.8699*8.23060.0213.5048 38.2349 t4 LSD 1 3 32.1187*8.90989.00213.3205 50.9169 1 -20.8699*8.23060.021-。