• 9781529630008 (1)
  • 9781529630008 (2)
  • 9781529630008 (5)
  • 9781529630008 (4)
  • 9781529630008 (3)
1

Discovering Statistics Using IBM SPSS Statistics, 6th Edition

Regular price
RM 190.00
Sale price
RM 190.00
Regular price
RM 0.00
Worldwide shipping | ABA Bookstore
Worldwide shipping
Secure payments | ABA Bookstore
Secure payments
Authentic products | ABA Bookstore
Authentic products

With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities.

What’s brand new:

  • A radical new design with original illustrations and even more colour
  • A maths diagnostic tool to help students establish what areas they need to revise and improve on. 
  • A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills
  • New sections on replication, open science and Bayesian thinking
  • Now fully up to date with latest versions of IBM SPSS Statistics©.


Contents:

Chapter 1: Why is my evil lecturer forcing me to learn statistics? 

Chapter 2: The SPINE of statistics 

Chapter 3: The phoenix of statistics  

Chapter 4: The IBM SPSS Statistics environment

Chapter 5: Data Visualisation 

Chapter 6: The beast of bias 

Chapter 7: Non-parametric models 

Chapter 8: Correlation 

Chapter 9: The Linear Model (Regression) 

Chapter 10: Comparing two means 

Chapter 11: Moderation and Mediation 

Chapter 12: GLM 1: Comparing several independent means 

Chapter 13: GLM 2: Comparing means adjusted for other predictors (analysis of covariance) 

Chapter 14: GLM 3: Factorial designs 

Chapter 15: GLM 4: Repeated-measures designs 

Chapter 16: GLM 5: Mixed designs 

Chapter 17: Multivariate analysis of variance (MANOVA) 

Chapter 18: Exploratory factor analysis 

Chapter 19: Categorical outcomes: chi-square and loglinear analysis 

Chapter 20: Categorical outcomes: logistic regression 

Chapter 21: Multilevel linear models 

Chapter 22: Epilogue