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

Understanding and Evaluating Research in Applied and Clinical Settings (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 382
• Erscheinungstermin: 21. April 2006
• Englisch
• ISBN-13: 9781135604547
• Artikelnr.: 38257998

Autorenporträt

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

Inhaltsangabe

Contents: Preface. Part I: Introductory Chapters. Framework and Sample
Studies. Definition, Purposes, and Dimensions of Research. A Tale of Two
Paradigms: Quantitative and Qualitative. Ethical Problems and Principles in
Human Research. Ethical Issues Related to Publishing and Reviewing. Part
II: Variables and Their Measurement. Research Problems and Variables.
Measurement and Descriptive Statistics. Measurement Reliability.
Measurement Validity. Data Collection Techniques. Part III: Research
Approaches, Questions, and Designs. Quantitative Research Approaches.
Research Questions and Hypotheses. Quasi-Experimental Designs. Randomized
Experimental Designs. Single-Subject Designs. General Design
Classifications. Part IV: Introduction to the Evaluation of Methods and
Design. Internal Validity. Sampling and Population External Validity.
Evaluating the Validity of a Research Study: An Introduction. Part V:
Introduction to Inferential Statistics and Their Interpretation.
Introduction to Inferential Statistics and Hypothesis Testing. Problems
With Null Hypothesis Significance Testing (NHST). Using Effect Sizes and
Confidence Intervals to Interpret the Results of a Statistical Test. Part
VI: Selection and Interpretation of Specific Statistics. Selection of
Inferential Statistics: An Overview. Single-Factor Between-Groups Designs:
Analysis and Interpretation. Single-Factor Repeated-Measures Designs:
Analysis and Interpretation. Basic Associational Designs: Analysis and
Interpretation. The Chi-Square Test and Accompanying Effect Size Indices.
Between Groups Factorial Designs: Analysis and Interpretation.
Pretest-Posttest Comparison Group Designs: Analysis and Interpretation. Use
and Interpretation of Multiple Regression. Logistic Regression and
Discriminant Analysis: Use and Interpretation. Selection and Use of
Inferential Statistics: A Summary. Interpretation of Alpha, Factor
Analysis, and Principal Components Analysis. Part VII: Application
Chapters. Levels of Evidence for Evidence-Based Practice. Meta-Analysis:
Formulation and Interpretation. Effect Sizes and Clinical Significance.
Part VIII: Evaluation of Research Validity. Framework for a Comprehensive
Evaluation of the Research Validity of a Study. Evaluations of Four Sample
Articles. Appendices: Research Validity Evaluation Form. Completed Research
Validity Evaluation Form. Comparative Numerical Evaluations of the Four
Sample Studies. Confusing Terms.