Two Way Independent Measures Analysis of Variance (ANOVA)

When this test is selected, you are presented with the list of variables defined in the design section. You must select two variables (hold down Ctrl and click the two variables). In the above example the IV type of video viewed is selected (the levels are violent and nonviolent ) as well as type of computer game played (the levels are competitive and noncompetitive) and the DV in this example is the score on the Beck Depression Inventory. Once the variable has been selected, you can then click 'OK' to generate a brief description of the test.

Click the 'Next' button to continue. With a two way ANOVA, there are three analyses to consider: The main effects of each of the two independent variables and the interaction between them. LabWriteUp allows you to enter the data for each of these analyses independently. In this example, we select interaction as the effect we wish to describe. When you do this you click on the two variables (while holding down the 'Ctrl' key) and then click 'Next'. You can then enter details of the interaction:

If you want to produce a textual, graphical, or tabulated description of the summary data, click the 'Enter data for plot, table, or text'. A data grid appears with all four cells of the interaction shown in rows:

As you enter the data, LabWriteUp calculates a suitable maximum value of the Y axis (so that the bars do not protrude above the y axis). However, you can enter a number for this value if you wish it to be different. If you wish to return to this data set later, you can save the data by selecting 'Save this data'.

When these data have been entered, plot the graph, table it, or describe the summary data textually. In this example let us assume that we created an interaction plot for this data (use 'Plot This' to create a plot of the data and 'Table This' to produce a table of the data). In this example the description is:

Having created an interaction plot, the text now requires an interpretation of the interaction, namely the precise effect the two variables have on heart rate.

Next >> Factorial ANOVA