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

Andy Field

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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©.

商品描述(中文翻譯)

《統計學的冒險》是一本屢獲殊榮的書籍,以其令人興奮的新外觀、新角色和幽默的逐步指導結合,成為每個人的統計學救星。從最初的理論到回歸分析、因素分析和多層次建模,Andy Field以他著名的奇怪例子和活動為統計學和SPSS軟體注入生氣。



全新亮點:


  • 全新的激進設計,原創插圖,更多色彩

  • 數學診斷工具,幫助學生確定需要複習和改進的領域

  • 經過改進的線上資源,包括視頻、案例研究、數據集、測試庫等,幫助學生進行專案工作、掌握數據管理技巧,並應用關鍵的寫作和就業技能

  • 新增複製、開放科學和貝葉斯思維的章節

  • 完全更新至最新版本的IBM SPSS Statistics©

作者簡介

  • Andy Field - University of Sussex, UK

作者簡介(中文翻譯)



  • Andy Field - 英國薩塞克斯大學

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

目錄大綱(中文翻譯)


  • 第1章:為什麼我的邪惡講師要逼我學習統計學?

    第2章:統計學的骨幹

    第3章:統計學的鳳凰

    第4章:IBM SPSS統計環境

    第5章:用圖表探索數據

    第6章:偏見之獸

    第7章:非參數模型

    第8章:相關性

    第9章:線性模型(回歸)

    第10章:比較兩個平均值

    第11章:調節、中介和多類別預測變數

    第12章:GLM 1:比較多個獨立平均值

    第13章:GLM 2:校正其他預測變數的平均值(共變異數分析)

    第14章:GLM 3:因子設計

    第15章:GLM 4:重複測量設計

    第16章:GLM 5:混合設計

    第17章:多變量變異數分析(MANOVA)

    第18章:探索性因素分析

    第19章:類別結果:卡方檢定和對數線性分析

    第20章:類別結果:邏輯回歸

    第21章:多層次線性模型