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Analysis of Variance in Randomized Complete Block Design Using Univariate General Linear Model

This document outlines the analysis process using a Univariate General Linear Model for the random effects of treatments in a Randomized Complete Block Design (RCBD) data set. The objective is to examine the main effects of treatment while considering blocking factors. Key features include displaying means for treatments, comparing main effects, and conducting descriptive statistics. A post-hoc analysis using Dunnett's test is also included to identify significant differences among treatment groups.

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Analysis of Variance in Randomized Complete Block Design Using Univariate General Linear Model

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  1. 分析過程 Analyze->General Linear Model-> Univariate  Dependent variable: obs  Fixed factor: treat/block Model: Custom  Model: treat/block Build Trem(s): Main Effect Options:  Display Means for :treat  Compare main efffects  Descriptive Statistics ->(continue) Post Hoc:  Post Hoc Test for : treat  Dunnett ->(continue) OK 3-2 隨機完全區集設計(rcbd.sav)

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