Understanding and Evaluating Research in Applied and Clinical Settings

George A. Morgan, Jeffrey A. Gliner, Robert J. Harmon

• Publisher: Psychology Press
• Year: 2006
• Print ISBN:
  9780805853315
• eBook ISBN:
  9781135604530
• Topic: Education
• Subtopic: History & Theory in Psychology

Clinically oriented professionals and students need to understand and evaluate the research and statistics in professional articles, especially given today's emphasis on evidence-based practice. This book demonstrates how the research approach and design help determine the appropriate statistical analysis. Understanding and Evaluating Research in Applied and Clinical Settings features:
*short, independent, chapters that do not have to be read in order;
*a guide to understanding why a particular statistic was selected;
*an emphasis on effects sizes including measures of risk potency;
*numerous cross-disciplinary examples to illustrate the material; and
*methods to help determine practical and clinical significance and their relation to meta-analysis and evidence-based practice.

This book is intended for practitioners and students in psychology, education, counseling, mental and allied health, nursing, and medicine, and as a text for courses on understanding research methods and statistics.

Subject Index

A

Accessible population, 123–128, see also Population and Sampling

Achievement tests, see Standardized instruments

Active independent variable, 3, 69–72, 289, see also Experimental approaches

Actual sample, 123–124, 127–128

response rate, 124

Alpha

Cronbach's alpha, 47, 53, 246–248

required for significance, 150, 154, 155

Alternate forms reliability, see Parallel forms reliability

Alternating treatment designs, 98–99

Alternative hypothesis, 144

Analysis of covariance, 219–220

Analysis of variance (ANOVA), 176–179, 237–244, see also Single factor ANOVA, Two factor ANOVA, Mixed ANOVA

Anonymous, 21

Antecedent variable, see Independent variable

Aptitude test, see also Standardized instruments

group, 62

Stanford-Binet, 62

Wechsler, 62

Area under the curve (AUC), 273–275, 279–281

Associational inferential statistics, 71, 76–80, ch. 26, 27, 30, 31

Associational research approach, 4–8, 71–74

evaluation of, 319–321

Associational research hypothesis or questions, 76–80

basic questions, 77

complex questions, 79–80

Assumptions, see Statistical assumptions

Asymmetrical transfer effects, 92

Attitude scales, 63–64

summated or Likert, 64, 253–254

Attribute independent variable, 3, 72–74, 289, see also Research approach

Attrition/mortality, 117, see also Threats to internal validity

Authorship, see Publication

Axioms, see also Constructivist paradigm and Positivist paradigm

B

Basic associational designs and st...

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Contents
• Preface
• Acknowledgments
• Part I Introductory Chapters
• Part II Variables and Their Measurement
• Part III Research Approaches, Questions, And Designs
• Part IV Introduction To The Evaluation Of Methods And Designs
• Part V Introduction To Inferential Statistics And Their Interpretation
• Part VI Selection And Interpretation Of Specific Statistics
• Part VII APPLICATION ChapterS
• Part VIII Evaluation Of Research Validity
• Appendix A Research Validity Evaluation Form
• Appendix B Completed Research Validity Evaluation Form
• Appendix C Comparative Numerical Evaluations of the Four Sample Studies
• Appendix D Confusing Terms
• References
• Author Index
• Subject Index