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

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

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

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


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.


Each chapter within this manual is designed to help the instructor cover the key concepts and distinctions listed at the end of each chapter in the textbook, Research Methods in Applied Settings:
An Integrated Approach to Design and Analysis
by Gliner and Morgan (2000). A teaching outline and objectives are presented at the beginning of each chapter in this instructor's manual to help you organize lecture materials. The teaching outlines indicate the overheads that are provided in the second half of this book. Most chapters include critical thinking exercises that challenge students to find examples of research that illustrate points made in the text. Those examples may be discussed in class or used as graded assignments. Next, there are objective questions (multiple choice, true or false, matching) that may be used for quizzes or examinations; answers are included. The last section of each chapter in this manual provides open-ended questions called application problems that may also be used as quiz or examination questions or for class discussion. The application problems are also at the end of each chapter in the textbook, without answers. A few of the application problems were modified in this manual for clarity after the textbook went to press. Our answers to the application problems have been included in this manual, but in some cases other answers are acceptable, if justified. The last part of the manual provides many of the figures and tables from the textbook and a few developed for this manual in a format that can easily be made into overhead transparencies. Overhead transparencies are identified in bold in the chapters' teaching outline. Finally, the manual ends with a page of references cited in this introduction.

Audience for the Textbook

The authors of this manual pre-tested many of the objective questions and application problems with graduate students in research classes in education and the health sciences. The authors' particular areas of expertise include psychology, human development, occupational therapy, education, and nursing. This manual, like the textbook, should be useful for a wide range of students, including advanced undergraduate, masters, and doctoral students in the above fields.

Features of the Textbook

The distinctive features of the textbook and this instructor's manual are described in some detail in the Preface to the textbook. To summarize briefly, we think that the text is sophisticated but student friendly, with many examples, tables and figures, and consistent terminology.

We think the major strength of the textbook is in the integration of measurement, design, and appropriate statistical analysis. Although there are more chapters that deal with statistical topics than is usual in a research methods book, the discussion is quite different from that in typical statistics books. We focus on what we believe are the hardest parts of the process for students, selection and interpretation of statistics. Chapter 13 is a full discussion of our model for choosing an appropriate inferential statistic based on knowledge of the variables, their measurement, the . . .

Search by... Author
Show... All Results Primary Sources Peer-reviewed


An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while.