Statistical methods for psychology

Select an Action

Title:

Author:

Howell, David C.

ISBN:

9780534377700

Personal Author:

Howell, David C.

Edition:

5th ed.

Publication Information:

Pacific Grove, CA : Duxbury/Thomson Learning, c2002.

Physical Description:

xiv, 802 p. : ill. ; 24 cm. + 1 computer optical disc (4 3/4 in.)

Contents:

Basic concepts -- Describing and exploring data -- The normal distribution -- Sampling distributions 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 designs -- Multiple regression -- Analyses of variance and covariance as general linear models -- Log-linear analysis -- Resampling and nonparametric approaches to data.

Subject Term:

Psychology -- Statistical methods.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168015719384	519.502415 H859S 2002	3	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168015719103	519.502415 H859S 2002	4	Searching... Unknown
Searching... 1:IIEMSA	1:GEN-BOOK	33168015719343	519.502415 H859S 2002	5	Searching... Unknown

Bound With These Titles

On Order

Summary

STATISTICAL METHODS FOR PSYCHOLOGY surveys the statistical techniques commonly used in the behavioral and social sciences, especially psychology and education. This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the student understand the purpose behind the experiment and the predictions made by the theory. Although this book is designed for students at the intermediate level or above, it does not assume that students have had either a previous course in statistics or a course in math beyond high-school algebra.