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Informationen zum Autor Dr. D. M. Mazhindu is Head of Research Development & Pedagogy at the School of Nursing & Primary Care Practice, Faculty of Health & Applied Social Sciences, Liverpool John Moores University. This strategic role includes: leading the research teaching team in the school, generating & undertaking research & enterprise activity & supporting research capacity & capability through staff development activities, conferences, seminars, international partnership working, supervising PhD students & research assistants.Research interests include: Researching Vulnerable Groups, Older People and Aging, Dementia Care, End of Life Care, Emotions at Work, Occupations & Organizations, The Development of Expert Performance, Professional Judgment and Clinical Competence, Qualitative, Critical, Participatory research methods, Statistics & Evidence Based Practice.Professional interests include: Intensive Care, Acute Medical & Surgical Care, Care of Older People, Work Force & Practice Development, and Improving Service Delivery through Continuing Professional Education (CPE). Klappentext This book introduces you to the basic rules and principles of statistics and shows you how straightforward statistical tests can be performed and analysed in relation to healthcare. Key features of the text are:-Examples which show how statistics are used in the real world-Exercises to test your understanding and develop your proficiency-A glossary to remind you of key terms.-Additional online material including guides to using Microsoft Excel and SPSS and sample datasets. Zusammenfassung 'This is a really good text which will support students through their dissertation proposal and project. It covers statistics in a simple understandable way' - Mrs Pamela Williams, School of Human & Health Sciences, Huddersfield University Inhaltsverzeichnis Statistics for Health Care Research The Statistical Approach: When Should It Be Applied? Measuring, Sampling and Error Questionnaires The Studies Descriptive Statistics Displaying Data Lies, Damned Lies and Statistics An Introduction to Hypothesis Testing Distributions and Probabilities Making Predictions Testing for Differences Between Means Errors and ANOVAs Not Normal Non-parametric Tests Tests for Association: Chi-Square Tests for Association: Correlation and Regression How Big a Sample: Power Analysis Analysing Data from Systematic Reviews Choosing Test Statistics ...
