Use MANOVA (multivariate analysis of variance) for a way to analyze repeated measures data. The term repeated measures refers to data with multiple measurements taken on the same subjects, often taken over a period of time. The MANOVA platform provides tests of between and within subject effects across the repeated measurements.
This example involves 16 dogs assigned to different treatment groups. Blood concentration of histamine is measured at four points in time. The data are arranged in a wide format (log-histamine measures are in separate columns), which is needed for the MANOVA analysis.
Analysis of Repeated Measures: MANOVA
- From an open JMP® data table, select Analyze > Fit Model. Select Manova from the Personality drop-down menu.
- Add the responses: From Select Columns, select the continuous response variables (continuous variables have blue triangles), and click Y.
- Add model effects: Select variables and click Add (under Construct Model Effects). To specify an interaction term, select multiple columns, then click Cross. Click Run.
- In the resulting window, select Repeated Measures from the Choose Response drop-down menu.
- Accept the defaults, then click OK.
By default, JMP will display the Parameter Estimates, Least Squares Means, Between Subjects and Within Subjects results and more. Additional options are available under the red triangles.
- Within Subjects results include the multivariate significance tests for the differences over time for both the whole model and each effect.
- Between Subjects results include the multivariate significance tests for the differences in the repeated measures across subjects for both the whole model and each effect.
See the Repeated Measures Analysis (Mixed Model) Guide to learn how to analyze repeated measures data using the mixed models platform.
Visit Fitting Linear Models > Multivariate Response Models in JMP Help to learn more.