Levene Test Spss How To Levene S#

Levene Test Spss How To Levene S

The easiest way to go -especially for multiple variables- is the One-Way ANOVA dialog. Several SPSS commands contain an option for running Levene's test. Click on Analyze -> Compare Means -> Independent-Samples T TestRunning Levene's test in SPSS. How To Levene S Statistic Test Of Homogeneity Of Variance Using Spss Spss Tests. Levenes Test is used to determine whether two or more groups have equal variancesIt is widely used because many statistical tests use the assumption that groups have equal variances. Univariate tests are tests that involve only 1 variable.

Drag and drop the dependent variable into the Test Variable(s) box, and the grouping variable into the Grouping Variable boxLevenes Test Spss. Difference t-test for Equality of Means tobt(15) -3.07, p <. (2-tailed) Mean Difference. The hypotheses for LeveneвЂ™s test are: H 0: 1 2 - 2 2 0 ('the population variances of group 1 and 2 are equal') H 1: 1 2 - 2 2 0 ('the population variances of group 1 and 2 are not equal')Levenes Test for Equality of Variances t df.

Here you can see that on average people who own dogs throw frisbees further than people who donвЂ™t own dogs (54.92 metres as against only 40.12 metres).The question is whether the difference between the two means is big enough so that we can be confident itвЂ™s not a function of random error. It all looks a bit more complex than strictly necessary, but itвЂ™s easy enough to retrieve the information we need.The first thing to note is the mean values in the Group Statistics table. The ResultThe result will pop up in the SPSS Output Viewer. 0 is No Dog and 1 is Owns Dog.ItвЂ™s also worth noting that if you had coded your grouping variable as a String type, then youвЂ™d need to match the string values that appear in the Data View precisely вЂ“ for example, вЂњNo DogвЂќ and вЂњOwns DogвЂќ.Once you have specified the values that define each group, press the Continue button, and then click on OK in the main dialog box to run the independent samples t test. Click on the Define Groups button.WeвЂ™re using 0 and 1 to specify each group, because these values match the way the variable is coded (youвЂ™re seeing value labels in the Data View, not the underlying numeric values).

ItвЂ™s an assumption of the independent samples t test that both samples have the same variance. Therefore, we can be confident in rejecting the null hypothesis that holds that there is no difference between the frisbee throwing abilities of dog owners and non-owners.There is one other result worth noting here, and thatвЂ™s LeveneвЂ™s Test for Equality of Variances. This would almost always be considered a significant result (standard alpha levels are.

Therefore, we must accept the null hypothesis that there is no difference between the variances of the two samples. 05 вЂ“ the standard alpha level. The latter is greater than. ItвЂ™s reporting an F value of 2.900 and a significance value of.

You should now be able to perform an independent samples t test in SPSS, and to interpret the result that you get.