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Introduction to Two-Way ANOVA - Applied Statistics - Lecture Slides, Slides of Psychology

Introduction To Two Way Anova, Qualitative Analysis, Sophisticated Technique, Independent Variable, Main Effects, Interaction Effects, Analyzing Data, Test for Effects, Total Sum of Squares, Sum of Squares are the important key points of lecture slides of Applied Statistics.

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2012/2013

Uploaded on 01/04/2013

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Download Introduction to Two-Way ANOVA - Applied Statistics - Lecture Slides and more Slides Psychology in PDF only on Docsity! Introduction to Two-Way ANOVA Docsity.com Qualitative Analysis of Two- Way ANOVA • A more sophisticated technique used to investigate more than one factor (independent variable) • A factorial experiment is one in which the effect of two or more factors are assessed in one experiment Docsity.com Analyzing Data • Test for effects 2 2 2 2 2 2 For A: For B: Interaction between A and B: R obt W C obt W RC obt W sF s sF s sF s = = = Docsity.com Steps in performing the Two-Way ANOVA • The total sum of squares (SST) is partitioned into four components: – Within cells sum of squares (SSW) – Row sum of squares (SSR) – Column sum of squares (SSC) – Row x Column sum of squares (SSRC) • Four variance estimates are formed by dividing each of the above four sum of squares by their degrees of freedom • F ratios compared to F critical Docsity.com Within-cells Variance Estimate sW2 • Equivalent to sW2 in one way ANOVA • Provides estimate of σ2 • Measure of inherent variability of the scores from subject to subject • Variability of scores within each cell • Does not reflect any treatment effect Docsity.com Row Variance Estimate sR2 • Measures main effect of variable A • Based on differences between row means • If variable A has no effect then the population row means are equal • Each sample row mean is from the same population Docsity.com Row Variance Estimate sR2 • Equations: 2 2 2 2 21 2 .... 1 R R R row row rowr allscores R row R SSs df X X X X SS n N df r =         + + +                 = −       = − ∑ ∑ ∑ ∑ Docsity.com Column Variance Estimate sC2 • Measures main effect of variable B • Based on differences between column means • If variable B has no effect, then the population column means are equal • Differences among sample column means are due to random sampling from identical populations Docsity.com
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