Now in its 7th edition this textbook is a must have for any health professional student. It provides a comprehensive overview of health research, in a concise and easy to read format using examples directly related to the health sciences. It helps students understand health research models, and how research goes on to inform and improve evidence-based clinical practice. For practitioners it provides guidance on published research in journals, providing an essential tool to keep their practice evidence based.
Uses simple language and demystifies research jargon
Covers both quantitative and qualitative research methodology, taking a very practical approach
Provides an extensive glossary for better understanding of the language of research
Fully updated online interactive self-assessment tests including MCQs, true or false questions and short answer questions.
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Maße
Höhe: 236 mm
Breite: 192 mm
Dicke: 13 mm
Gewicht
ISBN-13
978-0-7020-7493-6 (9780702074936)
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Schweitzer Klassifikation
Stephen Polgar works in the School of Public Health, Faculty of Health Sciences, La Trobe University, Melbourne, Australia. Shane A. Thomas is Professor and Director of Primary Care Research, Faculty of Medicine, Nursing and Health Sciences Monash University, Melbourne, AustraliaHonorary Professor Research School in Population Health, Australian National UniversityProfessor and Director, International Institute for Primary Health Care Research,Health and Family Planning Capacity Building and Continuing Education Center of Shenzhen, China
Autor*in
School of Public Health, Faculty of Health Sciences, La Trobe University, Melbourne, Australia
Section 1 Methodological foundations of health research
1 Foundations of health research
2 Quantitative and qualitative methods
3 The research process
Section 2 Research planning
4 The formulation of research questions
5 Sampling methods and external validity
6 Ethics
Section 3 Research designs
7 Experimental designs and randomized controlled trials
8 Surveys and quasi-experimental designs
9 Qualitative research
Section 4 Data collection
10 Questionnaires and survey design
11 Mixed methods
12 Interviewing techniques
13 Measurement and observation
Section 5 Descriptive statistics
14 Organization and presentation of data
15 Measures of central tendency and variability
16 Standard scores and normal distributions
17 Correlation
Section 6 Data analysis and inference
18 Probability and confidence intervals
19 Hypothesis testing: selection and use of statistical tests
20 Effect size and the interpretation of evidence
21 Qualitative data analysis
22 Critical evaluation of published research
Section 7 Evaluation and dissemination of research results
23 Synthesis of research evidence: systematic reviews and meta-analyses
24 Translational research
