Discovering statistics using IBM SPSS statistics
and sex and drugs and rock'n'roll
Bände/Inhalt:
- [Contents]: Why is my evil lecturer forcing me to learn statistics?. - Everything you ever wanted to know about statistics (well, sort of). - SPSS environment. - Exploring data with graphs. - Exploring assumptions. - Correlation. - Regression. - Logistic regression. - Comparing two means. - Comparing several means: ANOVA (GLM 1). - Analysis of covariance, ANCOVA (GLM 2). - Factorial ANOVA (GLM 3). - Repeated-measures designs (GLM 4). - Mixed design ANOVA (GLM 5). - Non-parametric tests. - Multivariate analysis of variance (MANOVA). - Exploratory factor analysis. - Categorical data. - Multilevel linear models.
- Unrivalled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Lecturers/instructors - request a free digital inspection copy here With a little help from his weird band of characters, Andy Field has transformed the way students engage with statistics. The Fourth Edition of the award-winning book continues, with its unique blend of humour and collection of bizarre examples, to bring statistics - from first principles to advanced concepts - well and truly to life using IBM SPSS Statistics. Lecturers: with WebAssign® you can manage and monitor your students' progress quickly and easily online or give them more opportunities to practise! Ideal for short courses, choose to use WebAssign® alongside the Fourth Edition of Andy Field's textbook to quickly set up courses and schedule assignments (using the 2159 questions available) and track individual performance so you can spot in an instant where more instruction or practice is needed. If not using for fomal assessment, WebAssign® still lets you set questions for your students to practise over and over again. They get instant feedback and also links to the relevant chapter or section in the integral ebook to help them work out the correct solution. For more information on how to integrate WebAssign® into a forthcoming course or to arrange a class test please contact your local SAGE representative for more details. (Students please note: access to WebAssign® is dependent not only on the purchase of a student access code (ISBN: 9781446273043) but also a username, institution code and password supplied by your course leader/instructor). (Quelle: buchkatalog.de)