You are here

First (and Second) Steps in Statistics

First (and Second) Steps in Statistics

Second Edition

March 2009 | 248 pages | SAGE Publications Ltd

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. The URL for this webpage can be found at

Univariate Statistics 1: Histograms and Boxplots
Univariate Statistics 2: The Mean and Standard Deviation
Univariate Statistics 3: Proportions and Bar Charts
Sampling and Allocation
Inference and Confidence Intervals
Hypothesis Testing: t tests and Alternatives
Comparing More than Two Groups or More than Two Variables
Regression and Correlation
Factorial ANOVAs and Multiple Regression
Categorical Data Analysis

Will be useful for when just satarting the process of the use of statistics. Also using 'The Tiger that isn't'

Dr Clare Beckett
Dept of Social Sciences & Humanities, Bradford University
August 13, 2010

I trialled this with a few students and they often found the examples very useful - you get a strong sense that this is written by someone who actually does analysis (e.g. the section on pragmatic approaches to measurement).

Dr Sarah Moore
Centre for Criminology and Sociology, University of London
February 12, 2010

Excellent simple approach to understanding statistics

Dr Margaret Denny
School of Health Sciences, Waterford Institute of Technology
January 8, 2010

The undergraduate students need a statistics book that talks to them and helps them understand the bigger picture not just numbers. This text will do that.

Dr Julia Walsh
Education , University College Cork (NUI)
November 12, 2009

Great book

Dr Jesper Schneider
Social Science , Royal School of Library and Information Science
October 23, 2009

So what does 'and second' in the title of this new edition mean? What has changed so that
you should buy this new edition rather than search eBay for the original? There are three
areas where we focused. First, there is the general updating of some examples and adding
some new ones. We received feedback on which examples worked and which did not, and
made changes accordingly. We also go into a little more depth on some topics than in the
original edition. If these were the only changes then it would have just been a second edition
without the title change. We have two new steps. The chapter in the original edition
on robust methods has been taken and spread throughout the other chapters. This change
was due to many people writing and saying that they taught, for example, the Wilcoxon
tests in the same week as the t tests and therefore they wanted them in the same chapter.
We also added more tests based on the median because the median often gets discussed in
the initial chapters of textbooks, but then is not mentioned again. There are tests for the
median, and we wanted to include these. The second extra step is factorial ANOVA. Again,
this was in response to public demand (yes, people are demanding factorial ANOVA). This
is Chapter 9 in the current edition.

Preview this book

Sample Materials & Chapters

Chapter One

Chapter Two

Daniel B. Wright

Daniel B. Wright is the Dunn Family Foundation Endowed Chair and 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. More About Author

Kamala London

Purchasing options

Please select a format:

ISBN: 9781412911429

SAGE Knowledge is the ultimate social sciences digital library for students, researchers, and faculty. Hosting more than 4,400 titles, it includes an expansive range of SAGE eBook and eReference content, including scholarly monographs, reference works, handbooks, series, professional development titles, and more.

The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.