Parametre
- 272 stránok
- 10 hodin čítania
Viac o knihe
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
Nákup knihy
Applying Regression and Correlation, Jeremy Miles, Mark Shevlin
- Jazyk
- Rok vydania
- 2000
- product-detail.submit-box.info.binding
- (mäkká)
Platobné metódy
Tu nám chýba tvoja recenzia
- Titul
- Applying Regression and Correlation
- Podtitul
- A Guide for Students and Researchers
- Jazyk
- anglicky
- Autori
- Jeremy Miles, Mark Shevlin
- Vydavateľ
- SAGE Publications Ltd
- Rok vydania
- 2000
- Väzba
- mäkká
- Počet strán
- 272
- ISBN10
- 0761962301
- ISBN13
- 9780761962304
- Série
- Štítky
- Náučná literatúra, Spoločenské vedy, Veda & Matematika, Psychológia, Matematika, Sociológia, Výskum, Štatistika
- Hodnotenie
- 4,6 z 5
- Anotácia
- 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


