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      Multiple Regression: A Practical Introduction

      4 in stock

      Firm sale: non returnable item
      SKU 9781544339702 Categories ,
      Select Guide Rating
      Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Drawing on decades of teaching this material, the authors present the ideas...

      £76.00

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      Description

      Product ID:9781544339702
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:Multiple Regression
      Subtitle:A Practical Introduction
      Authors:Author: Aki Roberts, John M. Roberts
      Page Count:280
      Subjects:Research methods: general, Research methods: general, Social research and statistics, Crime and criminology, Social research & statistics, Crime & criminology
      Description:Select Guide Rating
      Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. The book includes many interesting example analyses and interpretations, along with exercises.
      Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background. Drawing on decades of teaching this material, the authors present the ideas in an approachable and nontechnical manner, with no expectation that readers have more than a standard introductory statistics course as background. Multiple regression asks how a dependent variable is related to, or predicted by, a set of independent variables. The book includes many interesting example analyses and interpretations, along with exercises. Each dataset used for the examples and exercises is small enough for readers to easily grasp the entire dataset and its analysis with respect to the specific statistical techniques covered.

      A website for the book includes SPSS, Stata, SAS, and R code and commands for each type of analysis or recoding of variables in the book. Solutions to two of the end-of-chapter exercise types are also available for students to practice. The instructor side of the site contains editable PowerPoint slides, other solutions, and a test bank.

      Imprint Name:SAGE Publications Inc
      Publisher Name:SAGE Publications Inc
      Country of Publication:GB
      Publishing Date:2021-03-02

      Additional information

      Weight540 g
      Dimensions182 × 255 × 17 mm