Regression & Linear Modeling: Best Practices and Modern Methods
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Published By SAGE Publications, Inc

9781506302768, 9781071802724

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Simple Linear Models With Polytomous Categorical Dependent Variables: Multinomial and Ordinal Logistic Regression

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n6 ◽

2017 ◽

pp. 133-156

Keyword(s):

Logistic Regression ◽

Linear Models ◽

Ordinal Logistic Regression ◽

Dependent Variables

Simple Linear Models With Categorical Dependent Variables: Binary Logistic Regression

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n5 ◽

2017 ◽

pp. 97-132

Keyword(s):

Logistic Regression ◽

Linear Models ◽

Binary Logistic Regression ◽

Dependent Variables

Simple Linear Models With Continuous Dependent Variables: Simple Regression Analyses

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n3 ◽

2017 ◽

pp. 47-70

Keyword(s):

Linear Models ◽

Regression Analyses ◽

Dependent Variables ◽

Simple Regression

Simple Linear Models With Continuous Dependent Variables: Simple ANOVA Analyses

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n4 ◽

2017 ◽

pp. 71-96

Keyword(s):

Linear Models ◽

Dependent Variables

Prediction in the Generalized Linear Model

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n17 ◽

2017 ◽

pp. 405-426

Keyword(s):

Linear Model ◽

Generalized Linear Model

Trustworthy Science: Improving Statistical Reporting

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n15 ◽

2017 ◽

pp. 359-388

Poisson Models: Low-Frequency Count Data as Dependent Variables

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n11 ◽

2017 ◽

pp. 283-304

Keyword(s):

Count Data ◽

Low Frequency ◽

Frequency Count ◽

Poisson Models ◽

Dependent Variables

Interactions Between Independent Variables: Simple Moderation

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n9 ◽

2017 ◽

pp. 219-254

Keyword(s):

Independent Variables

Modeling in Large, Complex Samples: The Importance of Using Appropriate Weights and Design Effect Compensation

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n18 ◽

2017 ◽

pp. 427-436

Keyword(s):

Design Effect ◽

Complex Samples ◽

Large Complex

Curvilinear Interactions Between Independent Variables

Regression & Linear Modeling: Best Practices and Modern Methods ◽

10.4135/9781071802724.n10 ◽

2017 ◽

pp. 255-282

Keyword(s):

Independent Variables

Regression & Linear Modeling: Best Practices and Modern MethodsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SAGE Publications, Inc

Simple Linear Models With Polytomous Categorical Dependent Variables: Multinomial and Ordinal Logistic Regression

Simple Linear Models With Categorical Dependent Variables: Binary Logistic Regression

Simple Linear Models With Continuous Dependent Variables: Simple Regression Analyses

Simple Linear Models With Continuous Dependent Variables: Simple ANOVA Analyses

Prediction in the Generalized Linear Model

Trustworthy Science: Improving Statistical Reporting

Poisson Models: Low-Frequency Count Data as Dependent Variables

Interactions Between Independent Variables: Simple Moderation

Modeling in Large, Complex Samples: The Importance of Using Appropriate Weights and Design Effect Compensation

Curvilinear Interactions Between Independent Variables

Regression & Linear Modeling: Best Practices and Modern Methods
Latest Publications