Andy Field has written an up-to-date student-oriented textbook with the aim of making the learning of advanced statistics and using SPSS as painless as possible.
While other books either concentrate on statistical theory or on the functions of the popular computer program SPSS, Andy Field integrates the two to provide the student with a thorough grounding in statistics through learning to use SPSS. He provides a detailed, but highly accessible, guide to using SPSS for more complex statistical tests. There are illustrations of dialogue boxes throughout, and each chapter concludes with a set of exercises and descriptions. The book includes a CD-ROM with SPSS datasets and the author provides a website for further help and upda
"synopsis" may belong to another edition of this title.
Andy Field is Professor of Child Psychopathology at The University of Sussex. He adores cats, listens to and plays loud music and enjoys teaching statistics. His ability to make statistics accessible and fun has been recognised with teaching awards from the University of Sussex (2001), the British Psychological Society (2007) and in 2010 he was awarded a prestigious National Teaching Fellowship.
"About this title" may belong to another edition of this title.
Book Description Sage Publications Ltd, 2000. Paperback. Book Condition: New. Bookseller Inventory # DADAX0761957553
Book Description Sage Publications Ltd. PAPERBACK. Book Condition: New. 0761957553 New Condition. Bookseller Inventory # NEW6.0402278
Book Description Sage Publications Ltd, 2000. Paperback. Book Condition: New. Bookseller Inventory # P110761957553
Book Description Book Condition: Brand New. Book Condition: Brand New. Bookseller Inventory # 97807619575531.0
Book Description Sage Publications Ltd, 2000. Paperback. Book Condition: Brand New. paperback/cd-rom edition. 496 pages. 9.25x6.50x1.25 inches. In Stock. Bookseller Inventory # zk0761957553
Book Description Sage Publications Ltd, 2000. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Some Preliminaries Exploring Data Correlation Regression Logistic Regression Comparing Two Means Comparing Several Means ANOVA (GLM 1) Complex Anova (GLM 2) Repeated Measures Designs (GLM 3) MANOVA Exploratory Factor Analysis. Bookseller Inventory # ABE_book_new_0761957553