Research Methods in Applied Settings: An Integrated Approach to Design and Analysis, Second Edition

by Gliner, Jeffrey A.; Morgan, George A.

• ISBN13: 9780805829921
• ISBN10: 080582992X
• Edition: 1st
• Format: Hardcover
• Copyright: 2000-02-01
• Publisher: Lawrence Erlbau

Summary

The authors of this unique text found that while most students can "crunch" the numbers quite easily and accurately with a calculator or computer, many have trouble seeing the "big picture" or seeing how research questions and design influence data analysis. As a result, the authors developed a semantically consistent framework that integrates traditional research approaches (experimental, quasi-experimental, comparative) into three basic kinds of research questions (difference, associational, and descriptive), which, in turn, lead to three kinds or groups of statistics with the same names. This text: *helps students become good consumers of research by demonstrating how to analyze and evaluate research articles; *offers a number of summarizing diagrams and tables that clarify confusing or difficult to learn topics; *points out the value of qualitative research and how it should lead quantitative researchers to be more flexible; *divides all quantitative research questions into five logically consistent categories that help students select appropriate statistics and understand their cause and effect; and *classifies design into three major types: between groups, within subjects, and mixed groups and shows that, although these three types use the same general type of statistics (e.g., ANOVA), the specific statistics in between-groups design are different from those in within-subjects and mixed groups.

Table of Contents

Preface	vii
I. Introductory Chapters
Definitions, Purposes, and Dimensions of Research	3	(12)
A Tale of Two Paradigms: Quantitative and Qualitative	15	(16)
Ethical Problems and Principles	31	(12)
Research Problems, Variables, and Hypotheses	43	(18)
II. Research Approaches and Designs
Overview of Research Approaches and Questions	61	(20)
Internal Validity	81	(12)
Specific Research Designs for Randomized Experimental and Quasi-Experimental Approaches	93	(16)
Single Subject Designs	109	(18)
III. Understanding the Selection and Use of Statistics
Measurement and Descriptive Statistics	127	(16)
Sampling and External Validity	143	(22)
Introduction to Inferential Statistics and Problems With Null Hypothesis Significance Testing	165	(16)
General Design Classifications	181	(16)
Selection of Statistical Methods	197	(16)
IV. Integrating Designs and Analyses: Interpreting Results
Single Factor Between Groups Designs: Analysis and Interpretation	213	(24)
Single Factor Within Subjects Designs: Analysis and Interpretation	237	(14)
Basic Associational Designs: Analysis and Interpretation	251	(12)
Adding Independent Variables-Complex Between Groups Designs: Analysis and Interpretation	263	(14)
Mixed Factorial Designs: Analysis and Interpretation	277	(14)
Interpretation of Complex Associational Analyses and MANOVA	291	(18)
V. Measurement, Instruments, and Procedures
Measurement Reliability and Validity	309	(20)
Types of Data Collection Techniques	329	(16)
Steps in the Research Process: Practical and Ethical Issues	345	(22)
VI. Research Validity, Replication, and Review
Research Validity and Replication	367	(18)
Evaluating Empirical Research Studies: A Synthesis	385	(16)
Appendix A Confusing Terms and Glossary	401	(26)
Appendix B Anatomy of a Research Article	427	(8)
Appendix C Writing Research Problems and Questions	435	(6)
References	441	(8)
Author Index	449	(4)
Subject Index	453