Intermediate Statistics A Modern Approach

ISBN-10: 080582961X
ISBN-13: 9780805829617
Edition: 2nd 1999 (Revised)
Authors: James P. Stevens
List price: $34.50
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Book details

List price: $34.50
Edition: 2nd
Copyright year: 1999
Publisher: Lawrence Erlbaum Associates, Incorporated
Publication date: 7/1/1999
Binding: Paperback
Pages: 440
Size: 6.25" wide x 9.25" long x 1.25" tall
Weight: 1.584
Language: English

Preface
Introduction
Focus and Overview of Topics
Some Basic Descriptive Statistics
Summation Notation
t Test for Independent Samples
t Test for Dependent Samples
Outliers
SPSS and SAS Statistical Packages
SPSS for Windows-Release 12.0
Data Files
Data Entry
Editing a Dataset
Splitting and Merging Files
Two Ways of Running Analyses on SPSS
SPSS Output Navigator
SAS and SPSS Output for Correlations, Descriptives, and t Tests
Data Sets on Compact Disk
Obtaining the Mean and Variance on the T1-30Xa Calculator
One Way Analysis of Variance
Introduction
Rationale for ANOVA
Numerical Example
Expected Mean Squares
MS[subscript w] and MS[subscript b] as Variances
A Linear Model for the Data
Assumptions in ANOVA
The Independence Assumption
ANOVA on SPSS and SAS
Post Hoc Procedures
Tukey Procedure
The Scheffe Procedure
Heterogeneous Variances and Unequal Group Sizes
Measures of Association (Variance Accounted For)
Planned Comparisons
Test Statistic for Planned Comparisons
Planned Comparisons on SPSS and SAS
The Effect of an Outlier on an ANOVA
Multivariate Analysis of Variance
Summary
Appendix
Power Analysis
Introduction
t Test for Independent Samples
A Priori and Post Hoc Estimation of Power
Estimation of Power for One Way Analysis of Variance
A Priori Estimation of Subjects Needed for a Given Power
Ways of Improving Power
Power Estimation on SPSSM ANOVA
Summary
Factorial Analysis of Variance
Introduction
Numerical Calculations for Two Way ANOVA
Balanced and Unbalanced Designs
Higher Order Designs
A Comprehensive Computer Example Using Real Data
Power Analysis
Fixed and Random Factors
Summary
Doing a Balanced Two Way ANOVA With a Calculator
Repeated Measures Analysis
Introduction
Advantages and Disadvantages of Repeated Measures Designs
Single Group Repeated Measures
Completely Randomized Design
Univariate Repeated Measures Analysis
Assumptions in Repeated Measures Analysis
Should We Use the Univariate or Multivariate Approach?
Computer Analysis on SAS and SPSS for Example
Post Hoc Procedures in Repeated Measures Analysis
One Between and One Within Factor-A Trend Analysis
Post Hoc Procedures for the One Between and One Within Design
One Between and Two Within Factors
Totally Within Designs
Planned Comparisons in Repeated Measures Designs
Summary
Simple and Multiple Regression
Simple Regression
Assumptions for the Errors
Influential Data Points
Multiple Regression
Breakdown of Sum of Squares in Regression and F Test for Multiple Correlation
Relationship of Simple Correlations to Multiple Correlation
Multicollinearity
Model Selection
Two Computer Examples
Checking Assumptions for the Regression Model
Model Validation
Importance of the Order of Predictors in Regression Analysis
Other Important Issues
Outliers and Influential Data Points
Further Discussion of the Two Computer Examples
Sample Size Determination for a Reliable Prediction Equation
ANOVA as a Special Case of Regression Analysis
Summary of Important Points
The PRESS Statistic
Analysis of Covariance
Introduction
Purposes of Covariance
Adjustment of Posttest Means
Reduction of Error Variance
Choice of Covariates
Numerical Example
Assumptions in Analysis of Covariance
Use of ANCOVA with Intact Groups
Computer Example for ANCOVA
Alternative Analyses
An Alternative to the Johnson-Neyman Technique
Use of Several Covariates
Computer Example with Two Covariates
Summary
Hierarchical Linear Modeling
Introduction
Problems Using Single-Level Analyses of Multilevel Data
Formulation of the Multilevel Model
Two-Level Model-General Formulation
HLM6 Software
Two Level Example-Student and Classroom Data
HLM Software Output
Adding Level One Predictors to the HLM
Addition of a Level Two Predictor to a Two Level HLM
Evaluating the Efficacy of a Treatment
Final Comments on Hlm
Data Sets
Clinical Data
Alcoholics Data
Sesame Street Data
Headache Data
Cartoon Data
Attitude Data
National Academy of Sciences Data
Agresti Home Sales Data
Statistical Tables
Critical Values for F
Percentile Points of Studentized Range Statistic
Critical Values for Dunnett's Test
Critical Values for F (max) Statistic
Critical Values for Bryant-Paulson Procedure
Power Tables
Power of F Test at [alpha] = .05, u = 1
Power of F Test at [alpha] = .05, u = 2
Power of F Test at [alpha] = .05, u = 3
Power of F Test at [alpha] = .05, u = 4
Power of F Test at [alpha] = .10, u = 1
Power of F Test at [alpha] = .10, u = 2
Power of F Test at [alpha] = .10, u = 3
Power of F Test at [alpha] = .10, u = 4
References
Answers to Selected Exercises
Author Index
Subject Index

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