Understanding and Evaluating Research in Applied and Clinical Settings.

APA & regionals, SMEP, AABT, NCFR, SPA, AERA, SRA, SRCD.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Taylor & Francis 2006.
Temas:
Social sciences > Research > Methodology.
Psychology > Research > Methodology.
Social sciences > Statistical methods.
Psychometrics.
Sciences sociales > Recherche > Méthodologie.
Psychologie > Recherche > Méthodologie.
Sciences sociales > Méthodes statistiques.
Psychométrie.
Psychology > Research > Methodology
Psychometrics
Social sciences > Research > Methodology
Social sciences > Statistical methods
Electronic resource.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Book Cover
  • Title
  • Copyright
  • Contents
  • Preface
  • Acknowledgments
  • Part I INTRODUCTORY CHAPTERS
  • Chapter 1 Framework and Sample Studies
  • Chapter 2 Definition, Purposes, and Dimensions of Research
  • Chapter 3 A Tale of Two Paradigms: Quantitative and Qualitative
  • Chapter 4 Ethical Problems and Principles in Human Research
  • Chapter 5 Ethical Issues Related to Publishing and Reviewing
  • Part II VARIABLES AND THEIR MEASUREMENT
  • Chapter 6 Research Problems and Variables
  • Chapter 7 Measurement and Descriptive Statistics
  • Chapter 8 Measurement Reliability
  • Chapter 9 Measurement Validity
  • Chapter 10 Data Collection Techniques
  • Part III RESEARCH APPROACHES, QUESTIONS, AND DESIGNS
  • Chapter 11 Quantitative Research Approaches
  • Chapter 12 Research Questions and Hypotheses
  • Chapter 13 Quasi-Experimental Designs
  • Chapter 14 Randomized Experimental Designs
  • Chapter 15 Single-Subject Designs
  • Chapter 16 General Design Classifications
  • Part IV INTRODUCTION TO THE EVALUATION OF METHODS AND DESIGNS
  • Chapter 17 Internal Validity
  • Chapter 18 Sampling and Population External Validity
  • Chapter 19 Evaluating the Validity of a Research Study: An Introduction
  • Part V INTRODUCTION TO INFERENTIAL STATISTICS AND THEIR INTERPRETATION
  • Chapter 20 Introduction to Inferential Statistics and Hypothesis Testing
  • Chapter 21 Problems With Null Hypothesis Significance Testing (NHST)
  • Chapter 22 Using Effect Sizes and Confidence Intervals to Interpret the Results of a Statistical Test
  • Part VI SELECTION AND INTERPRETATION OF SPECIFIC STATISTICS
  • Chapter 23 Selection of Inferential Statistics: An Overview
  • Chapter 24 Single-Factor Between-Groups Designs: Analysis and Interpretation
  • Chapter 25 Single-Factor Repeated-Measures Designs: Analysis and Interpretation.
  • Chapter 26 Basic Associational Designs: Analysis and Interpretation
  • Chapter 27 The Chi-Square Test and Accompanying Effect Size Indices
  • Chapter 28 Between-Groups Factorial Designs: Analysis and Interpretation
  • Chapter 29 Pretest-Posttest Comparison Group Designs: Analysis and Interpretation
  • Chapter 30 Use and Interpretation of Multiple Regression
  • Chapter 31 Logistic Regression and Discriminant Analysis: Use and Interpretation
  • Chapter 32 Selection and Use of Inferential Statistics: A Summary
  • Chapter 33 Interpretation of Alpha, Factor Analysis, and Principal Components Analysis
  • Part VII APPLICATION CHAPTERS
  • Chapter 34 Levels of Evidence for Evidence-Based Practice
  • Chapter 35 Meta-Analysis: Formulation and Interpretation
  • Chapter 36 Effect Sizes and Clinical Significance
  • Part VIII EVALUATION OF RESEARCH VALIDITY
  • Chapter 37 Framework for a Comprehensive Evaluation of the Research Validity of a Study
  • Chapter 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.

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