Understanding Two-Way ANOVA in SPSS: A Comprehensive Guide 'uji anova spss 21'

Introduction to Two-Way ANOVA

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Two-way ANOVA, also known as a two-factor or mixed model analysis of variance (ANOVA), is a statistical technique used for analyzing the effects of two categorical independent variables on continuous dependent variable(s). This article will provide step-by-step instructions and explanations on how to perform and interpret two-way ANOassistant) in SPSS 21.

When to Use Two-Way ANOVA

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Two-way ANOVA is typically employed when there are more than one independent variables (two or more), which interact with each other, affecting the dependent variable. This situation can occur in various fields such as social sciences, psychology, education, and business research studies.

Assumptions of Two-Week ANOVA

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Before conducting two-way ANOVA analysis using SPSS 21:

1. Check for normality assumption by examining skewness values (-2 to +2) or plots (Q-Q plots).

2. Ensure equal variance assumption is met through Levene's test results > .05.

3. Sample size should be greater than 10 per cell.

SPSS Steps: Two-Way ANOVA

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### Step 1: Prepare Data

- Create a new SPSS file by clicking 'File' -> 'New...' in the top menu bar and select 'Data' option from drop-down list.

- Name your data source (e.g., 'two_way_anova_data').

- Enter variables into respective columns:

- Independent variable 1: categorical, ordered or nominal

- Independent variable 2: categorical, ordinal or continuous

- Dependent Variable(s): continuous

### Step

For more information about two-way ANOVA in SPSS and its applications, please refer to the reference materials provided below.

Uji anova spss 21