Synopsis
This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.
The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable.
Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe are the more complex aspects of regression analysis.
The authors gradually extend the model to include aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often presented in terms that are too mathematical for non-statistically inclined students to deal with.
Throughout the book maintains a conceptual, non-mathematical focus. Most equations are placed in an appendix, where a detailed explanation is given, to avoid disrupting the flow of the main text.
This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to postgraduate and researchers.
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About the Author
My research has primarily been in - Evaluation of reliability and validity - Structural equation models - Psychometrics
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Condition: Aceptable. : Este libro ofrece una nueva perspectiva sobre la aplicación del análisis de regresión en las ciencias del comportamiento, introduciendo al lector al análisis de regresión a través de un enfoque simple de construcción de modelos. Los autores comienzan con lo básico y revisan la media y la desviación estándar, con las que la mayoría de los lectores ya estarán familiarizados, y muestran que pueden considerarse un modelo de mínimos cuadrados. Luego, el libro muestra que este modelo de mínimos cuadrados es en realidad un caso especial de un análisis de regresión y puede extenderse para tratar primero con una y luego con más de una variable independiente. Extender el modelo de la media a un análisis de regresión proporciona una forma poderosa pero simple de pensar acerca de lo que los estudiantes creen que son los aspectos más complejos del análisis de regresión. EAN: 9780761962304 Tipo: Libros Categoría: Educación|Ciencias Título: Applying Regression and Correlation Autor: Jeremy Miles| Mark Shevlin Editorial: SAGE Publications Ltd Idioma: en Páginas: 272 Formato: tapa blanda. Seller Inventory # Happ-2025-09-24-77523a96
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Applying Regression and Correlation: A Guide for Students and Researchers
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SAGE Publications Inc, United States, Thousand Oaks, 2000
ISBN 10: 0761962301
ISBN 13: 9780761962304
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Paperback. Condition: Very Good. This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach. The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable. Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe are the more complex aspects of regression analysis. The authors gradually extend the model to include aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often presented in terms that are too mathematical for non-statistically inclined students to deal with. Throughout the book maintains a conceptual, non-mathematical focus. Most equations are placed in an appendix, where a detailed explanation is given, to avoid disrupting the flow of the main text. This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to postgraduate and researchers. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # GOR003273333
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