Dependent variable should be quantitative (interval level of measurement). Independent variable (factor variable) is categorical. * This presentation only focuses on between-subject design.ħ One-way ANOVA Data considerations Assumptions
Within-subjects design: all the participants are exposed to several conditions. Reasoning of ANOVA The partitioning of the total sum of squares of deviations Independent variable 1 Independent variable 2 Total sum of Squares of deviations of DV Independent variable 3 Errorīetween-subjects design*: different individuals are assigned to different groups (level of independent variable).
The target population is high school students Multiple health behaviors include drinking, smoking, exercise, eating habits, etc.Ĥ One-way ANOVA ANOVA means Analysis of VarianceĪNOVA: compare means of two or more levels of the independent variable One independent variable One dependent variable The basic test uses F distribution Comparing means is a special case of a regression analysisĥ Total sum of Squares of deviations of DV YRBSS monitors priority health-risk behaviors and the prevalence of obesity and asthma among youth and young adults. We use 2009 Youth Risk Behavior Surveillance System (YRBSS, CDC) as an example.
#ONE WAY ANOVA IN SPSS HOW TO#
Two-way Factorial ANOVA with SPSS How to interpret SPSS outputs How to report results
#ONE WAY ANOVA IN SPSS SERIES#
1 SPSS Series 1: ANOVA and Factorial ANOVAīy Hui Bian Office for Faculty Excellence
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