Analysis of covariance or ANCOVA compares 2+ means while controlling for 1+ background variables. Very comprehensive, step-by-step example in SPSS.

Step-by-step instructions on how to perform a one-way ANCOVA in SPSS Statistics using a relevant example. The procedure and testing of assumptions are included in this first part of …

ANCOVA stands for ‘Analysis of covariance’, and it combines the methods used in ANOVA with linear regression on a number of different levels. The resulting output shows the effect of the …

The Analysis of covariance (ANCOVA) procedure compares the means of one continuous dependent variable across two or more factor variables, and determines the effects of …

Learn how to understand and interpret the output of a one-way ANCOVA analysis in SPSS Statistics using straightforward language.

One-way ANCOVA combines elements of Analysis of Variance (ANOVA) and regression, allowing researchers to assess group differences in means while controlling for the influence of a …

The analysis of covariance (ANCOVA) is a statistical test used to control for the effects of a confounding variable (covariate) on the relationship or association between a predictor and …

The two-way ANCOVA (also referred to as a "factorial ANCOVA") is used to determine whether there is an interaction effect between two independent variables in terms of a continuous …

Learn how to perform and interpret ANCOVA using SPSS Statistics, with step-by-step instructions and APA style results interpretation.

Using ANCOVA in SPSS: SPSS, a software for statistical analysis, includes One-Way ANCOVA in its General Linear Models section. It lets you add up to 10 covariates to your analysis, …