Titlebook: Advanced Statistics for Testing Assumed Causal Relationships; Multiple Regression Hooshang Nayebi Book 2020 The Editor(s) (if applicable)

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https://doi.org/10.1007/978-3-030-54754-7Applied Multivariate Analysis; Casual Relationships; Linear Regression; Path Analysis; Logistic Regressi

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Oratory

Hooshang NayebiProvides nontechnical descriptions that help the reader to learn quickly.Includes twenty-one examples on test of the causal relationships that help the reader to understand applications well.Presents

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acrobat

2367-1092 at help the reader to understand applications well.Presents .This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using

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Blood and Lymph Supply of the Ovary of effects shows, contrary most texts, the pure effect isn’t always the sum of the direct and indirect effects. It presents what is the unique contribution of an independent variable and which variable has the larger unique effect. Finally, Sect. . illustrates how to obtain a part correlation by SPSS, which expresses the pure effect.

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Cellular Biology of Gangliosides,an be specified. Section 3.4 shows how the qualitative variables can be used as binary or dummy variables. Section 3.5 illustrates the appropriate logistic regression method for testing hypotheses. Finally, Sect. 3.6 presents how to obtain the logistic regression coefficients by SPSS.

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