Cantitate/Preț
Produs

SPSS for Psychologists

Autor Nicola Brace, Richard Kemp, Rosemary Snelgar, Virginia Harrison
en Limba Engleză Paperback – 10 noi 2020
Students can find statistical analysis a challenging and complex task and, in order to master the techniques and complete their assignments and projects successfully, they need to have a sound understanding of IBM SPSS and its functions. Updated to be compatible with IBM SPSS 25, with handy screen-shots throughout, the seventh edition of this trusted and practical textbook will take students on a step-by-step journey towards carrying out a range of essential tasks with confidence: from performing an analysis to interpreting outputs and reporting the results.

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.
Citește tot Restrânge

Preț: 26116 lei

Preț vechi: 31470 lei
-17%

Puncte Express: 392

Carte disponibilă

Livrare economică 29 iunie-13 iulie
Livrare express 12-18 iunie pentru 12025 lei

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9781352009941
ISBN-10: 1352009943
Pagini: 504
Dimensiuni: 193 x 260 x 26 mm
Greutate: 1.04 kg
Ediția:7. Auflage
Editura: Bloomsbury Publishing
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.