Research Methods in Applied Settings
An Integrated Approach to Design and Analysis
Published February 1st 2000 by Psychology Press – 480 pages
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.
*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.
"Gliner and Morgan….have written a book that will help students become good consumers of quantitative research."
"…we really like your book. It is organized and written in such a cogent manner. Although this class has been taught with a packet of readings for the last 20 years, we have assigned, almost in order, the chapters in the book up to the statistical applications. The one chapter that came out of order was the one on external validity. I find that rather amazing, considering the differences between public health approaches and psychological ones. We will adopt it for the class I teach on Research Methods in Health Services Research. Thanks so much for writing it, it was worth your efforts!"
—Anne W. Riley
Johns Hopkins University
Contents: Preface. Part I: Introductory Chapters. Definitions, Purposes, and Dimensions of Research. A Tale of Two Paradigms: Quantitative and Qualitative. Ethical Problems and Principles. Research Problems, Variables, and Hypotheses. Part II: Research Approaches and Designs. Overview of Research Approaches and Questions. Internal Validity. Specific Research Designs for Randomized Experimental and Quasi-Experimental Approaches. Single Subject Designs. Part III: Understanding the Selection and Use of Statistics. Measurement and Descriptive Statistics. Sampling and External Validity. Introduction to Inferential Statistics and Problems With Null Hypothesis Significance Testing. General Design Classifications. Selection of Statistical Methods. Part IV: Integrating Designs and Analyses: Interpreting Results. Single Factor Between Groups Designs: Analysis and Interpretation. Single Factor Within Subjects Designs: Analysis and Interpretation. Basic Associational Designs: Analysis and Interpretation. Adding Independent Variables-- Complex Between Groups Designs: Analysis and Interpretation. Mixed Factorial Designs: Analysis and Interpretation. Interpretation of Complex Associational Analyses and MANOVA. Part V: Measurement, Instruments, and Procedures. Measurement Reliability and Validity. Types of Data Collection Techniques. Steps in the Research Process: Practical and Ethical Issues. Part VI: Research Validity, Replication, and Review. Research Validity and Replication. Evaluating Empirical Research Studies: A Synthesis. Appendices: Confusing Terms and Glossary. Anatomy of a Research Article. Writing Research Problems and Questions.