SPSS for Psychologists
Autor Virginia Harrison, Richard Kemp, Nicola Brace, Rosemary Snelgaren Limba Engleză Paperback – 10 noi 2020
This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool.
Accompanying online resources for this title can be found at bloomsburyonlineresources.com/spss-for-psychologists. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
Preț: 255.54 lei
Preț vechi: 310.76 lei
-18%
Puncte Express: 383
Preț estimativ în valută:
45.17€ • 52.88$ • 39.45£
45.17€ • 52.88$ • 39.45£
Carte disponibilă
Livrare economică 13-27 februarie
Livrare express 30 ianuarie-05 februarie pentru 128.71 lei
Specificații
ISBN-13: 9781352009941
ISBN-10: 1352009943
Pagini: 504
Dimensiuni: 194 x 258 x 26 mm
Greutate: 1.22 kg
Ediția:7th ed. 2021
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom
ISBN-10: 1352009943
Pagini: 504
Dimensiuni: 194 x 258 x 26 mm
Greutate: 1.22 kg
Ediția:7th ed. 2021
Editura: Bloomsbury Publishing
Colecția Bloomsbury Academic
Locul publicării:London, United Kingdom
Cuprins
1. Introduction
2. Data entry in SPSS
3. Exploring, cleaning and graphing data in SPSS
4. Data handling
5. Tests of difference for one-and two-sample designs
6. Tests of correlation and bivariate regression
7. Tests for nominal data
8. One-way analysis of variance
9. Factorial analysis of variance
10. Multiple regression
11. Analysis of covariance and multivariate analysis of variance
12. Discriminant analysis and logistic regression
13. Factor analysis and reliability and dimensionality of scales
14. Using syntax and other useful features of SPSS.
2. Data entry in SPSS
3. Exploring, cleaning and graphing data in SPSS
4. Data handling
5. Tests of difference for one-and two-sample designs
6. Tests of correlation and bivariate regression
7. Tests for nominal data
8. One-way analysis of variance
9. Factorial analysis of variance
10. Multiple regression
11. Analysis of covariance and multivariate analysis of variance
12. Discriminant analysis and logistic regression
13. Factor analysis and reliability and dimensionality of scales
14. Using syntax and other useful features of SPSS.