SPSS for psychologists / Nicola Brace, Richard Kemp, Rosemary Snelgar.
Material type: TextPublication details: Basingstoke, UK : Palgrave Macmillan, 2009.Edition: 4th edDescription: xi, 454 p. : ill. ; 25 cmISBN:- 023059459X (pbk.)
- 9780230594593 (pbk.)
- Statistical product and service solutions for psychologists
- 150.15195 BRA
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Standard Loan | Moylish Library Main Collection | 150.15195 BRA (Browse shelf(Opens below)) | 1 | Available | 39002100450338 |
Enhanced descriptions from Syndetics:
The new edition of this bestselling guide to SPSS is the ideal companion for students learning how to use SPSS to analyse psychological data. As with previous editions, the book retains the comprehensive coverage, clarity and flexibility that has made it an indispensable resource for students at all levels. This 4th Edition: covers SPSS versions 16 and 17 and is backward compatible with other versions; focuses specifically on the needs of psychologists and psychology students; features a new colour layout and chapter tabs for easy reading and navigation; displays annotated screenshots and key 'tip' boxes to help students track their progress and avoid common pitfalls; provides expanded coverage of graphing and guides students through reporting the outcome of statistical analysis; and, sets SPSS in the context of research design and statistics, and discusses the rationale and use of each test throughout. In addition, a number of sample exercises, datasets and other useful information are available on the Companion Website, to support the text.
Includes bibliographical references and index.
Introduction -- Data entry in SPSS -- Exploring data in SPSS -- Data handling -- Tests of difference for two sample designs -- Tests of correlation -- Tests for nominal data -- Analysis of variance -- Multiple regression -- Analysis of covariance and multivariate analysis of variance -- Discriminant alalysis and logistic regression -- Factor analysis, and reliability and dimensionality of scales -- Beyond the basics.