Quantitative Data Analysis Using SPSS by
"This is an ideal introductory book for budding researchers who are embarking on the development and then analysis of data, and in this case, more specifically questionnaires using partly or exclusively closed questions amenable to statistical analysis." Primary Health Care Research and Development "The text is a welcome addition for nursing students at both undergraduate and postgraduate level research. Having reviewed the text I can only inform you how a student described a chapter in the book recently when she borrowed it. 'The language is clear and unambiguous'. I will be strongly encouraging students to either purchase the text ... with the purpose of giving them a foundation in statistics." William Evans, Institute of Technology Tralee, Ireland This accessible book is essential reading for those looking for a short and simple guide to basic data analysis. Written for the complete beginner, the book is the ideal companion when undertaking quantitative data analysis for the first time using SPSS. The book uses a simple example of quantitative data analysis that would be typical to the health field to take you through the process of data analysis step by step. The example used is a doctor who conducts a questionnaire survey of 30 patients to assess a specific service. The data from these questionnaires is given to you for analysis, and the book leads you through the process required to analyse this data. Handy screenshots illustrate each step of the process so you can try out the analysis for yourself, and apply it to your own research with ease. Topics covered include: Questionnaires and how to analyse them Coding the data for SPSS, setting up an SPSS database and entering the data Descriptive statistics and illustrating the data using graphs Cross-tabulation and the Chi-square statistic Correlation: examining relationships between interval data Examining differences between two sets of scores Reporting the results and presenting the data Quantitative Data Analysis Using SPSS is helpful for any students in health and social sciences with little or no experience of quantitative data analysis and statistics.
Quantitative Health Research Methods by
This book is a detailed and comprehensive guide to undertaking quantitative health research at postgraduate and professional level. It takes you through the entire research process, from designing the project to presenting the results and will help you execute high quality quantitative research that improves and informs clinical practice. Written by a team of research experts, this book covers common practical problems such as applying theory to research and analysing data. It also includes chapters on communicating with ethics committees, recruiting samples from vulnerable populations, audit as a research approach, quasi-experimental designs and using cognitive interviewing, making it a new and innovative offering for health researchers. Other topics covered in this book include: Ethical considerations of research Designing and planning quantitative research projects Data measurement and collection Analyzing and presenting resultsWith a strong practical focus, each chapter features examples of real-life research to illustrate the quantitative research process, as well as tips and insights into research planning and execution. This book is an essential guide for all health care professionals undertaking a postgraduate degree, as well as health researchers and practitioners who need to carry out research as part of their professional role. Contributors: Ruth Belling, Michelle Butler, Catherine Comiskey, Siobhan Corrigan, Gloria Crispino, Orla Dempsey, Suzanne Guerin, Maree Johnson, Carmel Kelly, Elaine Lehane, Maria Lohan, Susan McLaren, Deirdre Mongan, Corina Naughton, Rhona O'Connell, Elaine Pierce, Gary Rolfe, Eileen Savage, Anne Scott, Emma Stokes, Roger Watson ""Learning quantitative research is taken much for granted. This is probably why there are fewer generic books on quantitative than qualitative research. This book is long overdue. Clearly- written and well structured, it takes us through the whole journey of a research project from developing 'research questions' to 'presenting the findings', passing through philosophical underpinnings, recruitment of participants and ethical considerations. Written by an array of well-known researchers and teachers, this book will certainly appeal to new as well as seasoned researchers. Those who will use it, will not be disappointed." Kader Parahoo, University of Ulster "The title of this text is somewhat misleading. It is not only an excellent and thorough guide to quantitative health research methods; it is also an excellent introduction to all forms of quantitative research. It takes the reader gently through theoretical and ethical concerns to the practicalities and benefits of utilising quantitative approaches. As such it is that rare thing; a text that can be used by novice researchers to learn their craft, and a key reference resource for experienced research practitioners." Dr. John Cullen, School of Business, National University of Ireland, Maynooth, UK "This is a first-rate collection of essays that promotes an informed understanding of both underpinning principles and widely used techniques. A great deal of effort has clearly been invested in co-ordinating the contributions, and this has delivered clarity, complementarity and effective coverage. This is a welcome, carefully-crafted and very accessible resource that will appeal to students and researchers in healthcare and beyond." Martin Beirne, Professor of Management and Organizational Behaviour, University of Glasgow, Adam Smith Business School, UK
Research Training in the Biomedical, Behavioral, and Clinical Research Sciences by
Comprehensive research and a highly-trained workforce are essential for the improvement of health and health care both nationally and internationally. During the past 40 years the National Research Services Award (NRSA) Program has played a large role in training the workforce responsible for dramatic advances in the understanding of various diseases and new insights that have led to more effective and targeted therapies. In spite of this program, the difficulty obtaining jobs after the postdoc period has discouraged many domestic students from pursuing graduate postdoc training. In the United States, more than 50 percent of the postdoc workforce is made up of individuals who obtained their Ph.D.s from other countries. Indeed, one can make a strong argument that the influx of highly trained and creative foreigners has contributed greatly to U.S. science over the past 70 years. Research Training in the Biomedical, Behavioral, and Clinical Research Sciences discusses a number of important issues, including: the job prospects for postdocs completing their training; questions about the continued supply of international postdocs in an increasingly competitive world; the need for equal, excellent training for all graduate students who receive NIH funding; and the need to increase the diversity of trainees. The book recommends improvements in minority recruiting, more rigorous and extensive training in the responsible conduct of research and ethics, increased emphasis on career development, more attention to outcomes, and the requirement for incorporating more quantitative thinking in the biomedical curriculum.
Quantitative Methods focus on measurements and amounts (more and less, larger and smaller, often and seldom, similar and different) of the characteristics displayed by the people and events that the researcher studies. Examples of qualitative research and methods of collecting data include:
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