Discovering Statistics Using IBM SPSS Statistics, 5/e (Paperback)

Andy Field

  • 出版商: McGraw-Hill Education
  • 出版日期: 2018-06-01
  • 定價: $1,500
  • 售價: $1,500
  • 貴賓價: 9.5$1,425
  • 語言: 英文
  • 頁數: 1104
  • 裝訂: 平裝
  • ISBN: 1526419521
  • ISBN-13: 9781526419521
  • 相關分類: SPSS機率統計學

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商品描述

  • 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©.

作者簡介

  • Andy Field - University of Sussex, UK

目錄大綱

  • 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: Exploring data with graphs
    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, mediation and multicategory predictors
    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