Statistical Concepts A Second Course for Education and the Behavioral Sciences

ISBN-10: 0805837833
ISBN-13: 9780805837834
Edition: 2nd 1998 (Revised)
Authors: Richard G. Lomax
List price: $65.00
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Description: Richard Lomax provides a conceptual, intuitive approach to the subject that requires only a rudimentary knowledge of basic algebra. Concepts are clearly stated and supported by real-life examples. Statistical Concepts features comprehensive coverage  More...

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Book details

List price: $65.00
Edition: 2nd
Copyright year: 1998
Publisher: Routledge
Publication date: 10/1/2000
Binding: Paperback
Pages: 384
Size: 7.25" wide x 10.25" long x 0.75" tall
Weight: 1.342
Language: English

Richard Lomax provides a conceptual, intuitive approach to the subject that requires only a rudimentary knowledge of basic algebra. Concepts are clearly stated and supported by real-life examples. Statistical Concepts features comprehensive coverage in a flexible format so instructors can pick and choose topics. It features topics not traditionally found in other textbooks, such as the layout of the data in ANOVA models, the ANOVA linear models, expected mean squares in ANOVA models, and stepwise regression. The book features a thorough and current discussion of assumptions, the effects of their violations, and how to deal with their violation. This text is designed for a second or intermediate course in statistics for students in education and the behavioral sciences. It includes a number of regression and analysis of variance models, all subsumed under the general linear model (GLM). A prerequisite of introductory statistics (descriptive statistics through t-tests) is assumed.

Preface
One-Factor Analysis of Variance-Fixed-Effects Model
Characteristics of the one-factor ANOVA model
The layout of the data
ANOVA theory
The ANOVA model
Assumptions and violation of assumptions
The unequal n's or unbalanced design
Alternative ANOVA procedures
SPSS
Summary
Multiple Comparison Procedures
Concepts of multiple comparison procedures
Selected multiple comparison procedures
SPSS
Summary
Factorial Analysis of Variance-Fixed-Effects Model
The two-factor ANOVA model
Three-factor and higher-order ANOVA
Factorial ANOVA with unequal n's
SPSS
Summary
Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate
Characteristics of the model
The layout of the data
The ANCOVA model
The ANCOVA summary table
Partitioning the sums of squares
Adjusted means and related procedures
Assumptions and violation of assumptions
An example
ANCOVA without randomization
More complex ANCOVA models
Nonparametric ANCOVA procedures
SPSS
Summary
Random- and Mixed-Effects Analysis of Variance Models
The one-factor random-effects model
The two-factor random-effects model
The two-factor mixed-effects model
The one-factor repeated measures design
The two-factor split-plot or mixed design
SPSS
Summary
Hierarchical and Randomized Block Analysis of Variance Models
The two-factor hierarchical model
The two-factor randomized block design for n = 1
The two-factor randomized block design for n > 1
The Friedman test
Comparison of various ANOVA models
SPSS
Summary
Simple Linear Regression
The concepts of simple linear regression
The population simple linear regression model
The sample simple linear regression model
SPSS
Summary
Multiple Regression
Partial and semipartial correlations
Multiple linear regression
Other regression models
SPSS
What's next?
Summary
References
Appendix Tables
Answers
Index

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