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Differences Between SPSS vs Stata

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Description A statistical procedure is not like a sausage: you want to know its contents; you want to know the types of questions it can be used to answer and the types of data for which it is appropriate. The goal of the SPSS It aims to make it less likely that you will succumb to the siren song of melodic statistical procedure names and unleash a disastrous assault on a mutely suffering data file.

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A CD containing many of the data sets used in this book is included. Table of Contents Contents at a glance: Models for categorical dependent variables: Multinomial regression models Ordinal regression models PLUM Logit and probit models Hierarchical loglinear models Models for time-to-event survival data: Actuarial life tables Kaplan-Meier estimates Cox regression, with and without time-dependent covariates Regression models: Nonlinear regression Two-stage least squares Weighted least squares Additional procedures: Linear mixed models ALSCAL Variance-component estimation.

Modern repeated measures analysis using mixed models in SPSS (2)

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Instructor resource file download The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Signed out You have successfully signed out and will be required to sign back in should you need to download more resources. Obviously, such power comes at a price.

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Stata: Data Analysis and Statistical Software

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