Understanding and Evaluating Research in Applied and Clinical Settings
eBook - ePub

Understanding and Evaluating Research in Applied and Clinical Settings

  1. 382 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Understanding and Evaluating Research in Applied and Clinical Settings

About this book

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.

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Yes, you can access Understanding and Evaluating Research in Applied and Clinical Settings by George A. Morgan,Jeffrey A. Gliner,Robert J. Harmon in PDF and/or ePUB format, as well as other popular books in Education & History & Theory in Psychology. We have over one million books available in our catalogue for you to explore.

Information

Subject Index

A

Accessible population, 123โ€“128, see also Population and Sampling
Achievement tests, see Standardized instruments
Active independent variable, 3, 69โ€“72, 289, see also Experimental approaches
Actual sample, 123โ€“124, 127โ€“128
response rate, 124
Alpha
Cronbach's alpha, 47, 53, 246โ€“248
required for significance, 150, 154, 155
Alternate forms reliability, see Parallel forms reliability
Alternating treatment designs, 98โ€“99
Alternative hypothesis, 144
Analysis of covariance, 219โ€“220
Analysis of variance (ANOVA), 176โ€“179, 237โ€“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), 273โ€“275, 279โ€“281
Associational inferential statistics, 71, 76โ€“80, ch. 26, 27, 30, 31
Associational research approach, 4โ€“8, 71โ€“74
evaluation of, 319โ€“321
Associational research hypothesis or questions, 76โ€“80
basic questions, 77
complex questions, 79โ€“80
Assumptions, see Statistical assumptions
Asymmetrical transfer effects, 92
Attitude scales, 63โ€“64
summated or Likert, 64, 253โ€“254
Attribute independent variable, 3, 72โ€“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

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Part I Introductory Chapters
  9. Part II Variables and Their Measurement
  10. Part III Research Approaches, Questions, And Designs
  11. Part IV Introduction To The Evaluation Of Methods And Designs
  12. Part V Introduction To Inferential Statistics And Their Interpretation
  13. Part VI Selection And Interpretation Of Specific Statistics
  14. Part VII APPLICATION ChapterS
  15. Part VIII Evaluation Of Research Validity
  16. Appendix A Research Validity Evaluation Form
  17. Appendix B Completed Research Validity Evaluation Form
  18. Appendix C Comparative Numerical Evaluations of the Four Sample Studies
  19. Appendix D Confusing Terms
  20. References
  21. Author Index
  22. Subject Index