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E-grāmata: Understanding and Evaluating Research in Applied and Clinical Settings

  • Formāts: 382 pages
  • Izdošanas datums: 21-Apr-2006
  • Izdevniecība: Psychology Press
  • Valoda: eng
  • ISBN-13: 9781135604530
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  • Formāts: 382 pages
  • Izdošanas datums: 21-Apr-2006
  • Izdevniecība: Psychology Press
  • Valoda: eng
  • ISBN-13: 9781135604530
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Written for students and professionals in psychology, education, counseling, mental health, nursing, and medicine with some backgroung in research and statistics, this integrated approach to quantitative research methods, data analysis, and article evaluation concentrates on materials describing evidence-based clinical practice. In 38 discrete articles, coverage begins with basic information on the research framework, sample studies, and the ethics of human research and publishing. Subsequenst topics include variables and their measurement, quantitative research approaches including the quasi-experimental, evaluation of methods and design, inferential statistics and their interpretation, and the selection and interpretation of specific statistics such as the chi-square test and accompanying effect size indices. Chapters on applications include such topics as meta-analysis and clinical significance, and materials on the evaluation of research validity include evaluations of four sample articles. Annotation ©2005 Book News, Inc., Portland, OR (booknews.com)

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 consists of updates of 33 previously published articles from the Journal of the American Academy of Child and Adolescent Psychiatry, as well as an introduction and a conclusion on how to analyze and evaluate research articles. The 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.

*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. Exposure to research and statistics is assumed.


In this book, the authors provide an integrated approach to quantitative research methods and data analysis for consumers of research, especially those involved in practical or clinical applications.

Recenzijas

"...Useful for...masters level students in...psychology, counseling...social work, nursing...special education...medical students...and family physicians....Accrediting bodies for residencies are adding a requirement for critical appraisal of research-this book would be perfect for courses to meet that requirement." Mina K. Dulcan, M.D. Northwestern University and Children's Memorial Hospital, Chicago

"Practitioners are being held accountable for utilizing current research findings to enhance practice outcomes. This book can help them do that." Maura MacPhee, RN, Ph.D. University of British Columbia, Canada

Preface ix
Acknowledgments xiii
Introductory
Chapters
Framework and Sample Studies
3(6)
Definition, Purposes, and Dimensions of Research
9(5)
A Tale of Two Paradigms: Quantitative and Qualitative
14(4)
Ethical Problems and Principles in Human Research
18(6)
Ethical Issues Related to Publishing and Reviewing
24(7)
Variables and Their Measurement
Research Problems and Variables
31(5)
Measurement and Descriptive Statistics
36(8)
Measurement Reliability
44(6)
Measurement Validity
50(9)
Data Collection Techniques
59(10)
Research Approaches, Questions, and Designs
Quantitative Research Approaches
69(7)
Research Questions and Hypotheses
76(5)
Quasi-Experimental Designs
81(8)
Randomized Experimental Designs
89(6)
Single-Subject Designs
95(8)
General Design Classifications
103(10)
Introduction to the Evaluation of Methods and Design
Internal Validity
113(9)
Sampling and Population External Validity
122(7)
Evaluating the Validity of a Research Study: An Introduction
129(14)
Introduction to Inferential Statistics and Their Interpretation
Introduction to Inferential Statistics and Hypothesis Testing
143(9)
Problems With Null Hypothesis Significance Testing (NHST)
152(7)
Using Effect Sizes and Confidence Intervals to Interpret the Results of a Statistical Test
159(14)
Selection and Interpretation of Specific Statistics
Selection of Inferential Statistics: An Overview
173(7)
Single-Factor Between-Groups Designs: Analysis and Interpretation
180(8)
Single-Factor Repeated-Measures Designs: Analysis and Interpretation
188(7)
Basic Associational Designs: Analysis and Interpretation
195(6)
The Chi-Square Test and Accompanying Effect Size Indices
201(7)
Between-Groups Factorial Designs: Analysis and Interpretation
208(7)
Pretest-Posttest Comparison Group Designs: Analysis and Interpretation
215(8)
Use and Interpretation of Multiple Regression
223(6)
Logistic Regression and Discriminant Analysis: Use and Interpretation
229(7)
Selection and Use of Inferential Statistics: A Summary
236(10)
Interpretation of Alpha, Factor Analysis, and Principal Components Analysis
246(11)
Application
Chapters
Levels of Evidence for Evidence-Based Practice
257(8)
Meta-Analysis: Formulation and Interpretation
265(7)
Effect Sizes and Clinical Significance
272(13)
Evaluation of Research Validity
Framework for a Comprehensive Evaluation of the Research Validity of a Study
285(25)
Evaluations of Four Sample Articles
310(12)
Appendix A: Research Validity Evaluation Form 322(7)
Appendix B: Completed Research Validity Evaluation Form 329(8)
Appendix C: Comparative Numerical Evaluations of the Four Sample Studies 337(2)
Appendix D: Confusing Terms 339(5)
References 344(7)
Author Index 351(6)
Subject Index 357


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