First Steps in Statistics

Politics & Social Sciences

London, Kamala

Wright, Dr Daniel B

Social Sciences

Sage Publications Ltd.

First Steps in Statistics is an introduction to the most common statistics used and taught on first-year research methods courses and is designed to map onto a ten- or fifteen-week module. Coverage includes: <ul>
<li>descriptive statistics </li> <li>t </li>Tests <li>ANOVAs </li> <li>correlations </li> <li>regressions </li> <li>Chi-Squared test </li> <li>graphing data </li>
</ul>
Carefully chosen examples are used to illustrate each test, and there is particular care in conveying conceptual aspects. There are also special chapters dedicated to the role of hypothesis testing, sampling, and making graphs. Each chapter includes several exercises answers to which can be supplied free to adopters upon request. A list of further reading to guide the student comfortably through their first experience of doing basic statistics and playing with data is also provided.

First (and Second) Steps in Statistics

First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the psychological and social sciences. The rationale and procedure for analyzing data are presented through exciting examples, with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics. In addition to descriptive statistics, graphs, t tests, one way ANOVAs, Chi-square, and simple linear regression, this second edition includes factorial ANOVA and multiple regression. Emphasis is given to tests of median and other robust methods.

Wright, Daniel B.

First (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the psychological and social sciences. The rationale and procedure for analyzing data are presented through exciting examples, with an emphasis on understanding rather than computation. It is ideally suited for introductory courses in statistics. In addition to descriptive statistics, graphs, t tests, one way Anovas, Chi-square, and simple linear regression, this second edition includes factorial Anova and multiple regression. Emphasis is given to tests of median and other robust methods.

In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books′ webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter.

Modern Regression Techniques Using R: A Practical Guide for Students and Researchers

Business & Money

Economics

Modern Regression Techniques Using R: A Practical Guide

See the best price to sell, buy, or rent books by London, Kamala. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by London, Kamala

See the best price to sell, buy, or rent books by London, Kamala. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

First Steps in Statistics

First Steps in Statistics

First (and Second) Steps in Statistics

First (and Second) Steps in Statistics

Modern Regression Techniques Using R: A Practical Guide for Students and Researchers

Modern Regression Techniques Using R: A Practical Guide