Communication Research: Regression analysis procedure

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Regression analysis procedure

1. Pre-asumption 체크

1.1. Case vs. IVs Ratio
1.2. Normality, Linearity, Homoscedasticity, and Independence of residuals
1.3. Outlier
1.4. Mutlicollinearity and Singularity

2. Regression test

2.1. Standard
2.2. Sequential

You should read Correlation, Regression, Multiple Regression along with this article.

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1. Pre-asumption 체크 ¶

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1.1. Case vs. IVs Ratio ¶

Minimum: 20 times per IV
e.g., 3 IVs -> 60 cases minimum required.

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1.2. Normality, Linearity, Homoscedasticity, and Independence of residuals ¶

Normality
Linearity
Homoscedasticity
IndependenceOfResiduals

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1.3. Outlier ¶

Examining outliers

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1.4. Mutlicollinearity and Singularity ¶

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2. Regression test ¶

독립변인 중에서 특이한 것에 대해서 살펴보고 싶을 때 sequential regression을 사용한다. 컴퓨터의 판단에 맡길 때도 있는데, 이를 statistical regression이라고 하며, 이도 sequential regression의 일종으로 보아도 된다.

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2.1. Standard ¶

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2.2. Sequential ¶

Sequential Regression

CategoryResearchMethods
CategoryStatistics

Contents

1. Pre-asumption 체크 ¶

1.1. Case vs. IVs Ratio ¶

1.2. Normality, Linearity, Homoscedasticity, and Independence of residuals ¶

1.3. Outlier ¶

1.4. Mutlicollinearity and Singularity ¶

2. Regression test ¶

2.1. Standard ¶

2.2. Sequential ¶