First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the social and behavioral sciences.
The authors present the rationale and procedure for analyzing data using engaging examples with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics given its gentle beginning, yet progressive treatment of topics. In addition to descriptive statistics, graphs, t tests, one way ANOVAs, Chi-square, and simple linear regression, this Second Edition now includes some new, more advanced topic areas as well as a host of additional examples to help student confidently progress through their studies and apply the techniques in lab work, reports and research projects.
Key Features
- Re-organized first three chapters giving more attention to Univariate Statistics and providing more examples to work through at this level
- Offers more advanced "Second Step" content added on Factorial ANOVA and Multiple Regression
- Incorporates robust Methods chapter from the first edition now spread throughout the book, as is linked with common teaching practices.
- Contains more examples added to enhance the book′s practical nature
- Includes a host of exercises as well as further reading sections at the end of every chapter
An accompanying web page includes information for each chapter using the statistical packages SPSS and R.
Daniel B. Wright is Professor of Educational Assessment, in the Department of Educational Psychology and Higher Education, University of Nevada, Las Vegas. His interests are in methodology and applied cognitive science.