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Rehabilitation Research Principles and Applications

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ISBN-10: 0721600298

ISBN-13: 9780721600291

Edition: 3rd 2005 (Revised)

Authors: Elizabeth Domholdt, Jay Lubinsky, Russell Carter

List price: $62.95
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Written to help rehabilitation students and professionals change and improve their practices on the basis of the evidence, this new edition provides a practical framework for understanding and applying the systematic process of research. Highlighting both traditional research methods and emerging approaches, this book keeps the reader apprised of the current and future focus of rehabilitation research and emphasizes the importance of the joint effort of the producers and consumers of research. It uses straightforward language and relevant examples to capture the diversity and complexity of research that is of interest to rehabilitation professionals. Provides a solid grounding in…    
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Book details

List price: $62.95
Edition: 3rd
Copyright year: 2005
Publisher: Elsevier - Health Sciences Division
Publication date: 8/20/2004
Binding: Paperback
Pages: 592
Size: 7.50" wide x 9.00" long x 1.00" tall
Weight: 2.134
Language: English

Research Fundamentals
Rehabilitation Research Definitions of Research Reasons for Developing Rehabilitation
Research Barriers to Rehabilitation Research Status of Rehabilitation Research
Theory in Rehabilitation Research Relationships Among Theory, Research, and Practice Definitions of Theory Scope of Theory Evaluating Theory
Research Ethics Boundaries Between Practice and Research Moral Principles of Action Informed Consent Research Codes of Ethics Research Risks
Research Design
Research Problems, Questions, and Hypotheses Developing Answerable Research
Questions Criteria for Evaluating Research Problems
Research Paradigms Quantitative Paradigm Qualitative Paradigm Single-System Paradigm Relationships Among the Research Paradigms
Design Overview Identification of Variables Design Dimensions Control
Research Validity Internal Validity Construct Validity External Validity Relationships Among Types of Validity
Selection and Assignment of Participants
Significance of Sampling and Assignment
Populations and Samples Probability
Sampling Nonprobability Sampling
Assignment to Groups Sample Size
Experimental Designs
Group Designs Randomized Controlled Trials
Single-Factor Experimental Designs
Multiple-Factor Experimental Designs
Single-System Design
Problems with Group Designs
Characteristics of Single-System Designs
Single-System Designs
Limitations of Single-System Designs
Nonexperimental Research
Overview of Nonexperimental Research
Description Analysis of Relationships
Analysis of Differences
Clinical Case Reports
Contributions of Case Reports to Theory and Practice
Purposes of Case Reports
Format of Case Reports
Qualitative Research
Assumptions of the Qualitative Paradigm
Qualitative Designs
Qualitative Methods
Epidemiology Ratios, Proportions, and Rates
Screening and Diagnosis
Nonexperimental Epidemiological
Outcomes Research
Purpose of Outcomes Research
Frameworks for Outcomes Research
Measurement Tools for Outcomes
Research Design Issues for Outcomes Research
Survey Research Scope of Survey
Research Types of Information
Types of Items Implementation
Overview Mailed Surveys
Internet Surveys
Interview Surveys
Measurement Theory
Definitions of Measurement
Scales of Measurement
Types of Variables
Statistical Foundations of Measurement
Theory Measurement Frameworks
Measurement Reliability
Measurement Validity
Responsiveness to Change
Methodological Research
Reliability Designs
Validity Designs
Responsiveness Design
Data Analysis
Statistical Reasoning Data Set Frequency
Distribution Central Tendency Variability Normal
Distribution Sampling
Distribution Significant Difference Errors
Power Statistical Conclusion Validity
Statistical Analysis of Differences
The Basics Distributions for Analysis of Differences
Assumptions of Tests of Differences
Independence or Dependence of Samples Steps in the Statistical Testing of Differences
Statistical Analysis of Differences
Statistical Analysis of Differences: Advanced and Special Techniques
Advanced ANOVA Techniques
Differences Between More Than One Independent Variable
Analysis of Single-System Designs Survival
Analysis Hypothesis Testing with Confidence
Intervals Power Analysis
Statistical Analysis of Relationships: The Basics Correlation Linear Regression
Statistical Analysis of Relationships: Advanced and Special Techniques Reliability
Analysis Multiple Regre