Single Subject Designs in Biomedicine (eBook)

Janine E. Janosky, Shelley L. Leininger, Michael P. Hoerger, Terry M. Libkuman (Autoren)

eBook Download: PDF

2009 | 2009
XIII, 124 Seiten
Springer Netherland (Verlag)
978-90-481-2444-2 (ISBN)

Infos

Single Subject Designs in Biomedicine draws upon the rich history of single case research within the educational and behavioral research settings and extends the application to the field of biomedicine. Biomedical illustrations are used to demonstrate the processes of designing, implementing, and evaluating a single subject design. Strengths and limitations of various methodologies are presented, along with specific clinical areas of application in which these applications would be appropriate. Statistical and visual techniques for data analysis are also discussed. The breadth and depth of information provided is suitable for medical students in research oriented courses, primary care practitioners and medical specialists seeking to apply methods of evidence practice to improve patient care, and medical researchers who are expanding their methodological expertise to include single subject designs. Increasing awareness of the utility in the single subject design could enhance treatment approach and evaluation both in biomedical research and medical care settings.

Inhalt

Contents 5
List of Figures 8
List of Tables 9
Author Biographies 10
1 Overview of the Single Subject Design 11
Single Subject Design Methodology 12
References 14
2 The Application of the Single Subject Design 18
Choice and Measurement of Outcomes 18
Choice and Application of Interventions 19
Nomenclature of Single Subject Designs 20
The Family of Single Subject Designs: The Basic A-B Design 21
The A-B-A Design 23
A-B-A-B Design 25
B-A-B Single-Subject Design 25
Multiple Baseline Design 26
Alternating Treatments Design 28
Changing Criterion Design 30
Summary 32
References 33
3 Methodological Framework for Single Subject Designs 34
Historical Roots 34
Sources of Threats to Internal Validity 39
Summary 50
References 51
4 Evaluation and Analysis of Data Generated from Single Subject Designs 53
Experimental Control and the Single Subject Design 53
Interventions (Independent Variables) 57
Outcomes (Dependent Variables) 58
Response Guided Studies 60
Statistical Analysis of Data Collected Using Single 61
Subject Methodology 61
Graphical Display of Data and Visual Analysis 62
Inferential Statistical Analysis 68
Summary 73
References 74
5 Ethics and Single Subject Research 77
Primer on Ethics 77
Philosophical Perspectives 77
Guiding Principles 78
Professional Competence 79
Certification and Licensure 79
Maintaining Professional Competence 80
PracticingWithin an Area of Competence 80
Patient Rights 80
Informed Consent 80
Discontinuation 82
Confidentiality 82
Deception 83
Conflict of Interest 83
Methodological Considerations 83
Choice of Patient 84
Choice of Treatment Objectives 84
Choice of Interventions 85
Choice of Control Conditions 86
Withdrawal Designs 86
Research Context 87
Facilitating Research 87
References 88
6 Application of the Single Subject Design in Biomedicine 89
Past and Current Application of the Single Subject 89
Design in Biomedicine 89
Overview for Conducting a Single Subject Design 93
Illustrations of Single Subject Design Application 95
Summary 103
References 103
7 Annotated Bibliography of Single Subject Studies 105
References 122

Produkt-Details

• Erscheint lt. Verlag: 7.7.2009
• Zusatzinfo: XIII, 124 p.
• Verlagsort: Dordrecht
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Medizin / Pharmazie ► Allgemeines / Lexika
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete ► Allgemeinmedizin
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete ► Biomedizin
• Themenwelt: Medizin / Pharmazie ► Medizinische Fachgebiete ► Intensivmedizin
• Themenwelt: Studium ► 1. Studienabschnitt (Vorklinik) ► Biochemie / Molekularbiologie
• Themenwelt: Sozialwissenschaften ► Politik / Verwaltung
• Themenwelt: Technik
• Schlagworte: biomedicine • Case study • Data Analysis • Instrumentation • measure • Methodology • N-of-1 • Patient care research • Research Methodology • Single subject designs
• ISBN-10: 90-481-2444-1 / 9048124441
• ISBN-13: 978-90-481-2444-2 / 9789048124442