[Skip to Content]
Access to paid content on this site is currently suspended due to excessive activity being detected from your IP address 54.161.241.199. Please contact the publisher to request reinstatement.
[Skip to Content Landing]
Article
August 1990

Statistical Analysis of Repeated Measures in Psychiatric Research

Author Affiliations

From the Department of Psychiatry, University of North Carolina School of Medicine (Mr Ekstrom and Dr Golden), the University of North Carolina Mental Health Clinical Research Center (Mr Ekstrom and Drsa Quade Golden), and the Biostatistics Department, University of North Carolina School of Public Health (Dr Quad Quade), l.

Arch Gen Psychiatry. 1990;47(8):770-772. doi:10.1001/archpsyc.1990.01810200078011
Abstract

• We examined the statistcal methods applide to research studies that used parallel-groups repeated measures designs. Sixty-three of the 343 articles that were published in four major psychiatry research journals during a 6-nonth period contained data of this type. Seven (11%)of the 63 articles applied a multivariata analysis of variance. Four (6%)used a univariate analysis of variance with an adjustment for correlated measures. Ten (16%) used a univariate analysis of variance without an adjustment for correlated measures. Twenty (32%)either reduced their repeated measurements to a single value, such as a maximum-change score in each group, or carried out multiple tests at several time polints. Twenty-two (35%) of the reports did not provide enough information to allow readers to determine the type of anlysis that was applied.We discuss the approspriate selection of analytical techniques for repeated measures designs.

×