Parámetros
- 272 páginas
- 10 horas de lectura
Más información sobre el libro
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
Compra de libros
Applying Regression and Correlation, Jeremy Miles, Mark Shevlin
- Idioma
- Publicado en
- 2000
- product-detail.submit-box.info.binding
- (Tapa blanda)
Métodos de pago
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- Título
- Applying Regression and Correlation
- Subtítulo
- A Guide for Students and Researchers
- Idioma
- Inglés
- Autores
- Jeremy Miles, Mark Shevlin
- Editorial
- SAGE Publications Ltd
- Publicado en
- 2000
- Formato
- Tapa blanda
- Páginas
- 272
- ISBN10
- 0761962301
- ISBN13
- 9780761962304
- Serie
- Etiquetas
- No ficción, Ciencias sociales, Ciencia y Matemáticas, Psicología, Matemáticas, Sociología, Investigación, Estadística
- Calificación
- 4,6 de 5
- Descripción
- 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


