Data analysis for research designs : analysis of-variance and multiple regression/correlation approaches

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000001732241	HA29 K48 1989	Open Access Book	Book	Searching... Unknown
Searching... PSZ JB	30000003726878	HA29 K48 1989	Open Access Book	Book	Searching... Unknown
Searching... PSZ JB	30000003726910	HA29 K48 1989	Open Access Book	Book	Searching... Unknown

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing single-degree-of-freedom comparisons so that students focus on clear research planning. This text is designed for advanced undergraduates and graduate students of the behavioral and social sciences who have an understanding of algebra and statistics.

Preface

1 Introduction

2 Principle of Research Design

3 Overview of Design and Analysis

4 Basic Concepts in Statistical Analysis

5 Basic Statistical Concepts in Correlation and Regresssion

6 Basic Statistical Concepts in ANOVA

7 The Correlational Analysis of Experimental Data

8 Significance and Hypothesis Testing

9 General Coding of Experiments for MRC Analysis

10 Overall Analysis of the Single-Factor Design

11 Detailed Analysis of the Single-Factor Design

12 Correction for Multiple Comparisons

13 Introduction to the Two-Factor Design

14 The Analysis of Main Effects and Simple Effects

15 The Analysis of Interaction Comparisons: The Interaction Contrast

16 The Within-Subjects Single-Factor Design

17 The Mixed Two-Factor Design

18 Detailed Analysis of the Mixed Factorial Design

19 Higher-Order Factorial Designs

20 Nonexperimental Research

21 Other Applications of MRC to Nonexperimental Research

22 Analysis of Covariance

23 Analysis of Trend

24 Unequal Sample Sizes

25 Epilogue

References

Appendix

Answers to the Exercises

Author Index

Subject Index

Available:*

On Order

Summary

Summary

Table of Contents