SPSS explained
著者
書誌事項
SPSS explained
Routledge, 2014
2nd ed
- : hbk
- : pbk
大学図書館所蔵 全3件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes index
Previous ed. published 2004
内容説明・目次
内容説明
SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided:
regular advice boxes with tips specific to each test
explanations divided into 'essential' and 'advanced' sections to suit readers at different levels
frequently asked questions at the end of each chapter.
The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes:
chapters that explain bootstrapping and how this is used
an introduction to binary logistic regression
coverage of new features such as Chart Builder.
Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students.
The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users' concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book.
Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.
目次
1 Introduction 2 Data Entry 3 Descriptive Statistics 4 Illustrative Statistics 5 Introduction to Statistical Testing 6 t Tests 7 Introduction to Analysis of Variance (General Linear Model) 8 One Factor Analysis of Variance 9 Two Factor Analysis of Variance 10 Multivariate Analysis of Variance 11 Nonparametric Two Sample Tests 12 Non-parametric k Sample Tests 13 Chi-square Test of Independence and Goodness of Fit 14 Linear Correlation and Regression 15 Multiple Regression and Multiple Correlation 16 Introduction to Factor Analysis 17 Using SPSS to Analyse Questionnaires: Reliability
「Nielsen BookData」 より