Statistical Methods for Psychology
David C. Howell(Author)
Brooks/Cole (Publisher)
3rd Edition
Published on 9. January 1992
Book
Hardback
693 pages
978-0-534-92955-8 (ISBN)
Description
This text highlights statistical methods useful for the behavioural sciences from a practitioner's perspective. The format and presentation of statistics should encourage students to research and analyze data. Students are exposed to the power and time-saving features of computer software with examples of output from Minitab, SPSS, BMDP, SAS, and others. Examples and exercises use real data to motivate students and show them the importance of statistical techniques in behavioural research. The edition has been improved by increasing computer coverage and integration, including graphical representations of computer output. Sections on probability, chi-square and multiple regression have been revised for greater clarity.
More details
Edition
3rd Revised edition
Language
English
Place of publication
CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
bibliography, index
Dimensions
Height: 240 mm
ISBN-13
978-0-534-92955-8 (9780534929558)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
David C. Howell
Statistical Methods for Psychology
Book
08/1996
4th Edition
Wadsworth Publishing Co Inc
€76.94
Article exhausted; check for reprint
Content
Basic Concepts; Describing and Exploring Data; The Normal Distribution; Sampling Distribution and Hypothesis Testing; Basic Concepts of Probability; Categorical Data and Chi-Square; Hypothesis Tests applied to Means; Power; Correlation and Regression; Alternative Correlational Techniques; Simple Analysis of Variance; Multiple Comparisons Among Treatment Means; Factorial Analysis of Variance; Repeated Measures Design; Multiple Regression; Analyses of Variance and Covariance as General Linear Models; Log-Linear Analysis; Nonparametric and Distribution-Free Statistical Tests.