水迷宫重复测量数据的方差分析及其在SPSS中的实现

doi:10.3736/jcim20070121

Abstract

Objective: To introduce the method of analyzing repeated data measured by water maze with SPSS 11.0, and offer a reference statistical method to clinical and basic medicine researchers who take the design of repeated measures.

Methods: Using repeated measures and multivariate analysis of variance (ANOVA) process of the general linear model in SPSS and giving comparison among different groups and different measure time pairwise.

Results: Firstly, Mauchly's test of sphericity should be used to judge whether there were relations among the repeatedly measured data. If any (P≤0.05), multivariate ANOVA should be taken next, or Greenhouse-Geisser corrected results should be taken. Treated effect could be evaluated by estimating between-subject variance. Repeated measurement effect or its interactive effect with treated group could be evaluated by estimating within-subject variance. The method of Bonferroni should be used to do pairwise comparisons of the repeatedly measured data in different measurement time of each treated group. With multivariate ANOVA, data in different treated group of each measurement time could be compared pairwise.

Conclusion: The repeated measures process of the general linear model is suitable for variance analysis of repeatedly measured data. SPSS statistical package is available to fulfil this process.

Key words: analysis of variance, statistics, SPSS, linear models

CLC Number:

R573

Hong Qiu, Guo-qin Jin, Ru-feng Jin, Wei-kang Zhao. Analysis of variance of repeated data measured by water maze with SPSS. Journal of Chinese Integrative Medicine, 2007, 5(1): 101-105.

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URL: http://www.jcimjournal.com/EN/10.3736/jcim20070121

http://www.jcimjournal.com/EN/Y2007/V5/I1/101

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Within	Mauchly's W	Approx.	df	Sig.	Epsilon
subject effect	Mauchly's W	Chi-Square	df	Sig.	Greenhouse-Geisser	Huynh-Feldt	Lower-bound
Day	0.44	67.7	9	0	0.769	0.84	0.25

Source	Type Ⅲ sum of squares	df	Mean square	F	Sig.
Day
Sphericity assumed	18 904.952	4	4 726.238	46	0
Greenhouse-Geisser	18 904.952	3.08	6 147.179	46	0
Huynh-Feldt	18 904.952	3.36	5 624.645	46	0
Lower-bound	18 904.952	1	18 904.952	46	0
Day×group
Sphericity assumed	1 143.810	16	71	0.7	0.792
Greenhouse-Geisser	1 143.810	12.3	93	0.7	0.753
Huynh-Feldt	1 143.810	13.4	85	0.7	0.766
Lower-bound	1 143.810	4	##	0.7	0.593
Error (Day)
Sphericity assumed	33 826.378	332	##
Greenhouse-Geisser	33 826.378	255	##
Huynh-Feldt	33 826.378	279	##
Lower-bound	33 826.378	83	##

Source	Type Ⅲ sum of squares	df	Mean square	F	Sig.
Intercept	159 748.892	1	1 159 748.892	250	0
Group	17 446.070	4	4 361.517	6.8	0
Error	53 016.075	83	##

Group	n	Latency at different time
Group	n	Day 1	Day 2	Day 3	Day 4	Day 5
Normal control	16	20.8±8.3	17.3±8.5	14.1±9.3	10.3±5.8	9.9±6.7
Sham-operation	12	30.1±12.9^△	19.0±7.1^△	16.4±8.9^△	10.9±5.7^△	8.3±5.5^△
Untreated	20	43.9±17.9*	33.1±23.4*	31.8±25.1*	25.9±24.3*	22.2±24.9*
Tiaoxin Recipe-treated	20	27.6±14.1^△	18.4±15.5^△	15.9±9.1^△	11.4±5.4^△	11.3±10.2^△
Aricept-treated	20	31.8±16.8^△	21.5±17.0^△	17.2±13.6^△	10.0±7.1^△	8.4±3.6^△

Analysis of variance of repeated data measured by water maze with SPSS

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