Hello Mia Whittaker. ANOVA is very robust to variance heterogeneity when the sample sizes are equal or nearly so--see what George Box said about it in the attached image, for example. Readers will be much better able to advise you if you provide more information. I assume your command syntax looks something like this:

* Let y1 and y2 be the DV measurements in the 2 within-Ss conditions.

* Let Group be the between-Ss factor.

GLM y1 y2 BY Group

/WSFACTOR=wsfactor 2

/PRINT=DESCRIPTIVE HOMOGENEITY

/WSDESIGN=wsfactor

/DESIGN=Group.

If you have not included DESCRIPTIVE on the PRINT sub-command, please add it so that sample sizes and SDs are included in the output. Then export the output to PDF and upload the file here. Thanks.

PS- Here is an article that pays homage to Box's statement about rowing boats and ocean liners in its title. It does not focus on Levene's test, but certainly mentions it.

McGuinness, K. A. (2002). Of rowing boats, ocean liners and tests of the ANOVA homogeneity of variance assumption. Austral Ecology, 27(6), 681-688. https://onlinelibrary.wiley.com/doi/pdf/10.1046/j.1442-9993.2002.01233.x

Abstract  One of the assumptions of analysis of variance (anova) is that the variances of the groups being compared are approximately equal. This assumption is routinely checked before doing an analysis, although some workers consider anova robust and do not bother and others avoid parametric procedures entirely. Two of the more commonly used heterogeneity tests are Bartlett's and Cochran's, although, as for most of these tests, they may well be more sensitive to violations of the anova assumptions than is anova itself. Simulations were used to examine how well these two tests protected anova against the problems created by variance heterogeneity. Although Cochran's test performed a little better than Bartlett's, both tests performed poorly, frequently disallowing perfectly valid analyses. Recommendations are made about how to proceed, given these results.

Why not just look up look the test in the SPSS manual see what p-value goes with what test

Best wishes, David Booth

Hi,

Here is a good example and description of this test and interpretation:

https://www.spss-tutorials.com/spss-anova-levenes-test-significant

Bhogaraju Anand unfortunately my research design is a mixed factorial ANOVA, all the work i am viewing seems to only deal with one-way ANOVAs?

Hello Mia Whittaker. Please report for each of the 4 cells the n, mean, and SD. Thank you.