Correct use of repeated measures analysis of variance.

In biomedical research, researchers frequently use statistical procedures such as the t-test, standard analysis of variance (ANOVA), or the repeated measures ANOVA to compare means between the groups of interest. There are frequently some misuses in applying these procedures since the conditions of the experiments or statistical assumptions necessary to apply these procedures are not fully taken into consideration. In this paper, we demonstrate the correct use of repeated measures ANOVA to prevent or minimize ethical or scientific problems due to its misuse. We also describe the appropriate use of multiple comparison tests for follow-up analysis in repeated measures ANOVA. Finally, we demonstrate the use of repeated measures ANOVA by using real data and the statistical software package SPSS (SPSS Inc., USA).

[1]  K. Hong,et al.  [Clinical significance of minor elevation of cardiac troponin I]. , 2008, The Korean journal of laboratory medicine.

[2]  [Comparison of two new plastic tubes (Sekisui INSEPACK and Green Cross Green Vac-Tube) with BD Vacutainer tubes for 49 analytes]. , 2007, The Korean journal of laboratory medicine.

[3]  Karl P. Pfeiffer,et al.  Statistical errors in medical research--a review of common pitfalls. , 2007, Swiss medical weekly.

[4]  I. Ulus,et al.  Elevation of serum cerebral injury markers correlates with serum choline decline after coronary artery bypass grafting surgery , 2006, Clinical chemistry and laboratory medicine.

[5]  Charles E. Heckler,et al.  Applied Multivariate Statistical Analysis , 2005, Technometrics.

[6]  Greg Atkinson,et al.  Analysis of repeated measurements in physical therapy research: multiple comparisons amongst level means and multi-factorial designs , 2002 .

[7]  D. Resnik,et al.  The Misuse of Statistics: Concepts, Tools, and a Research Agenda , 2002, Accountability in research.

[8]  G. Atkinson.  Analysis of repeated measurements in physical therapy research , 2001 .

[9]  D G Altman,et al.  Statistics Notes: Comparing several groups using analysis of variance , 1996, BMJ.

[10]  Donald D. Bergh,et al.  Problems with Repeated Measures Analysis: Demonstration with A Study of the Diversification and Performance Relationship , 1995 .

[11]  S. P. Wright,et al.  Adjusted P-values for simultaneous inference , 1992 .

[12]  Scott E. Maxwell,et al.  Designing Experiments and Analyzing Data: A Model Comparison Perspective , 1990 .

[13]  H. Keselman,et al.  Repeated Measures Multiple Comparison Procedures: Effects of Violating Multisample Sphericity in Unbalanced Designs , 1988 .

[14]  J C Bailar,et al.  Science, statistics, and deception. , 1986, Annals of internal medicine.

[15]  Paul W. Miniard,et al.  The Misuse of Repeated Measures Analysis in Marketing Research , 1983 .

[16]  Paul A. Games,et al.  Circularity and multiple comparisons in repeated measure designs , 1981 .

[17]  Robert J. Boik,et al.  A priori tests in repeated measures designs: Effects of nonsphericity , 1981 .

[18]  Douglas G. Altman,et al.  Statistics and ethics in medical research , 1981 .

[19]  D. Altman.  Statistics and ethics in medical research. VIII-Improving the quality of statistics in medical journals. , 1981, British medical journal.

[20]  Scott E. Maxwell,et al.  Pairwise Multiple Comparisons in Repeated Measures Designs , 1980 .

[21]  H. Huynh,et al.  Estimation of the Box Correction for Degrees of Freedom from Sample Data in Randomized Block and Split-Plot Designs , 1976 .

[22]  H. Huynh,et al.  Conditions under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions , 1970 .

[23]  James E. Grizzle,et al.  Applications of multivariate analysis of variance to repeated measurements experiments. , 1966 .

[24]  S. Geisser,et al.  On methods in the analysis of profile data , 1959 .