![]() However, both tables provide useful descriptive statistics that can help you to get a better 'feel' for your data. These adjusted means are shown in the Estimates table. This is important because in the two-way ANCOVA the mean values of the groups of the independent variables have been adjusted by the covariate, weight (i.e., it is the adjusted means that are of interest). The main difference is that the means of the groups of the two independent variables, diet and exercise, in the Descriptive Statistics table have not been adjusted for the covariate, weight (i.e., they are unadjusted means). Although it might appear that they contain the same information, they do not, and differ in important ways. ![]() ![]() These are the Descriptive Statistics table and the Estimates table. There are two main tables that you will need to be familiar with in SPSS Statistics when running a two-way ANCOVA. SPSS Statistics Descriptive statistics and estimatesĭescriptive statistics are discussed first because it is good to have an overall impression of what your data is showing. That said, if you would like to understand how to follow-up the two-way interaction effect and interpret these findings, you can do so by subscribing to Laerd Statistics and accessing our 28 page two-way ANCOVA guide. After interpreting these results, there are additional analyses that you need to run – whether simple main effects, interaction contrasts and/or main effects – so we discuss these later. However, assuming that you have already run these assumptions procedures in SPSS Statistics, we help you to interpret the descriptive statistics and estimates and the two-way interaction effect on this page. We cannot stress enough at this point that these results might not be accurate if your data has not met all of the 10 assumptions of the two-way ANCOVA, which were discussed on page one of this introductory guide. In this section, we introduce you to the initial results that you need to interpret: (a) descriptive statistics and estimates and (b) the two-way interaction effect. Two-way ANCOVA in SPSS Statistics (page 3) Interpreting the two-way ANCOVA resultsĪfter running the two-way ANCOVA procedures and testing that your data meets the assumptions of a two-way ANCOVA, SPSS Statistics will have generated a number of tables and graphs that contain all the information you need to report the results of your two-way ANCOVA analysis.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |