On the third ( Factor Names) tab, optionally name the grouping variables that define the rows and columns. Without repeated measures, there are no choices available on the second ( RM Analysis) tab.Ĥ. Since the data do not have repeated measures, don't check either option on the first tab ( RM Design). Choose Two-way ANOVA from the list of grouped analyses.ģ. From the data table, click on the toolbar.Ģ. This may or may not be a reasonable assumption for your situation.
It cannot test for interaction without replicates, so simply assumes there is none. In this case, Prism will only be able to compute ordinary (not repeated measures) ANOVA, and will assume that there is no interaction between the row and column factor. If you only have one value for each condition, create a Grouped table and choose to enter a single Y value (no subcolumns). So if you enter mean, sample size and SD or SEM, you'll only be able to do ordinary (not repeated measures) ANOVA. This is not a quirk of Prism, but fundamental to repeated measures analyses. Note that repeated measures ANOVA requires raw data. If your data has more than 256 replicates, this is the only way to enter data into Prism for two-way ANOVA. If you have already averaged your replicates in another program, you can choose to enter and plot the mean and SD (or SEM) and n. normal culture) and the three data set columns encode the three levels of the other factor (cell line). In the example above, the two rows encode the two levels of one factor (serum starved vs. Entering raw dataĬreate a Grouped table with enough subcolumns to hold the maximum number of replicates you have.
Setting up the data tableįrom the Welcome (or New Data Table and Graph) dialog, choose the Grouped tab. Each data set (column) represents a different level of one factor, and each row represents a different level of the other factor. Instead, use rows and columns to designate the different groups (levels) of each factor. Prism organizes data for two-way ANOVA differently than do most other programs.
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