Reading Statistics and Research
Longman (Publisher)
2nd Edition
Published in June 1995
Book
Paperback/Softback
416 pages
978-0-06-500606-3 (ISBN)
Article exhausted; check for reprint
Description
Designed for beginning statistics and research courses, this text explains how consumers of research can read, understand and critically evaluate the statistical information contained in technical research reports. The major goals are: to help readers decipher the statistical terminology and notations used by authors of technical reports; and to encourage critical evaluation of the way in which any study is executed - focusing on how data is collected, analyzed and interpreted - so as to determine whether the researcher's conclusions and claims are justified. To achieve this two-fold objective, excerpts from over 500 recent research articles, including tables, figures, and portions of textual material are presented and discussed. Many of the excerpts illustrate conceptual or procedural mistakes that are often made by researchers. This second edition features up-to-date research articles, more detailed coverage of many key topics, including hypothesis testing and examples drawn from a variety of disciplines.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
College/higher education
Edition type
Revised edition
Illustrations
tables, figures
Dimensions
Height: 230 mm
Weight
1124 gr
ISBN-13
978-0-06-500606-3 (9780065006063)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Schuyler W. Huck
Reading Statistics and Research
Book
01/2000
3rd Edition
Pearson
€35.95
Article exhausted; check for reprint
Content
The typical format of a journal article; descriptive statistics - the univariate case; bivariate correlations; reliability and validity; foundations of inferential statistics; estimation; hypothesis testing 1; hypothesis testing 2; significance teating and the hybrid approach to testing ho; statistical inferences covering bivariate correlation coefficients; inferences concerning one or two means; tests on three or more means via a one way ANOVA; post hoc and planned comparisons; two way analysis of variance; three way analysis of variance; mixed ANOVAs; the analysis of covariance; tests on percentages and proportions; other non parametric tests; issues in research design.