Understanding and evaluating research in applied clinical settings

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 statistic...

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Detalles Bibliográficos
Autor principal: Morgan, George A. 1936- (-)
Otros Autores: Gliner, Jeffrey A., Harmon, Robert John, 1946-
Formato: Libro electrónico
Idioma:Inglés
Publicado: Mahwah, N.J. : Lawrence Erlbaum Associates 2006.
Edición:1st ed
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009798032006719
Tabla de Contenidos:
  • Cover; UNDERSTANDING AND EVALUATING RESEARCH IN APPLIED AND CLINICAL SETTINGS; Title Page; Copyright Page; Table of Contents; Preface; Acknowledgments; I. INTRODUCTORY CHAPTERS; 1 Framework and Sample Studies; 2 Definitions, Purposes, and Dimensions of Research; 3 A Tale of Two Paradigms: Quantitative and Qualitative; 4 Ethical Problems and Principles in Human Research; 5 Ethical Issues Related to Publishing and Reviewing; II. VARIABLES AND THEIR MEASUREMENT; 6 Research Problems and Variables; 7 Measurement and Descriptive Statistics; 8 Measurement Reliability; 9 Measurement Validity
  • 10 Data Collection TechniquesIII. RESEARCH APPROACHES, QUESTIONS, AND DESIGNS; 11 Quantitative Research Approaches; 12 Research Questions and Hypotheses; 13 Quasi-Experimental Designs; 14 Randomized Experimental Designs; 15 Single-Subject Designs; 16 General Design Classifications; IV. INTRODUCTION TO THE EVALUATION OF METHODS AND DESIGN; 17 Internal Validity; 18 Sampling and Population External Validity; 19 Evaluating the Validity of a Research Study: An Introduction; V. INTRODUCTION TO INFERENTIAL STATISTICS AND THEIR INTERPRETATION
  • 20 Introduction to Inferential Statistics and Hypothesis Testing21 Problems With Null Hypothesis Significance Testing (NHST); 22 Using Effect Sizes and Confidence Intervals to Interpret the Results of a Statistical Test; VI. SELECTION AND INTERPRETATION OF SPECIFIC STATISTICS; 23 Selection of Inferential Statistics: An Overview; 24 Single-Factor Between-Groups Designs: Analysis and Interpretation; 25 Single-Factor Repeated-Measures Designs: Analysis and Interpretation; 26 Basic Associational Designs: Analysis and Interpretation; 27 The Chi-Square Test and Accompanying Effect Size Indices
  • 28 Between-Groups Factorial Designs: Analysis and Interpretation29 Pretest-Posttest Comparison Group Designs: Analysis and Interpretation; 30 Use and Interpretation of Multiple Regression; 31 Logistic Regression and Discriminant Analysis: Use and Interpretation; 32 Selection and Use of Inferential Statistics: A Summary; 33 Interpretation of Alpha, Factor Analysis, and Principal Components Analysis; VII. APPLICATION CHAPTERS; 34 Levels of Evidence for Evidence-Based Practice; 35 Meta-Analysis: Formulation and Interpretation; 36 Effect Sizes and Clinical Significance
  • VIII. EVALUATION OF RESEARCH VALIDITY37 Framework for a Comprehensive Evaluation of the Research Validity of a Study; 38 Evaluations of Four Sample Articles; 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