Discovering Statistics Using IBM SPSS Statistics, 5/e (Paperback)
暫譯: 使用 IBM SPSS Statistics 探索統計學，第五版（平裝本）

Andy Field

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

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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)


  • 這本獲獎的書籍以令人興奮的新外觀、新角色以及獨特的幽默感和逐步指導的結合，成為每個人的統計學救星。從初步理論到迴歸分析、因素分析和多層次建模，Andy Field 以他著名的奇特範例和活動為統計學和 SPSS 軟體注入活力。



    全新內容包括：

    • 全新的設計，配有原創插圖和更多顏色

    • 數學診斷工具，幫助學生確定需要修訂和改進的領域。

    • 全新改版的線上資源，利用視頻、案例研究、數據集、測試題庫等，幫助學生應對專案工作，掌握數據管理技術，並應用關鍵寫作和就業技能

    • 新增有關重複性研究、開放科學和貝葉斯思維的章節

    • 現在已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)



  • 安迪·菲爾德 - 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)


  • 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

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