Analyze why there are two different versions (“Equal variances assumed” and “Equal variances not assumed”) of the t test on the SPSS printout and how you decide which one is more appropriate.

  Provide a substantive contribution that advances the discussion in a meaningful way by identifying strengths of the posting, challenging assumptions, and asking clarifying questions.

 

Analyze why there are two different versions (“Equal variances assumed” and “Equal variances not assumed”) of the t test on the SPSS printout and how you decide which one is more appropriate.

The SPSS introduces two versions of the independent samples t test: one with equal variance assumed and ‘’equal variances not assumed’’. According to Warner, the levene test is used to decide which version of the t test to report. However, if the levene test shows no significant violation of the homogeneity of variance assumption, the researcher will report the ‘’equal variances assumed’’. Moreover, if the levene test indicates that there is equal variances is violated the researcher reports ‘’equal variances not assumed’’ version of the t test (Warner,2013). According to    , the SPSS provides three different types of t test. The independent-samplet test compares the means of two different samples.  Furthermore the samples share variable interest in common but no overlap between the two groups (George, 2016).The two different versions identify which variance will be most appropriate base on the Levene’s test and the variable of interest which is imperative when conducting research.

George, D. (2016). IBM SPSS Statistics 23 step by step: A simple guide and reference (14th ed.). New York, NY: Routeledge.

Warner, R. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.) Thousand Oaks, CA: Sage.