A nuts-and-bolts guide to conducting your own professional-quality surveys without paying professional fees. How can you gauge public support for a cause or test the market for a product or service? What are the best methods for validating opinions for use in a paper or dissertation? A well-documented survey is the answer.
Includes a review of the literature on data modelling and logical database design, referencing nearly 500 publications, with a focus on their relevance to practice. This book incorporates the study of data modelling practitioners, involving over 450 participants in interviews, surveys and data modelling tasks.
A complete and comprehensive collaboration providing insight on future approaches to telephone survey methodology Over the past fifteen years, advances in technology have transformed the field of survey methodology, from how interviews are conducted to the management and analysis of compiled data.
Drawing on his experience of qualitative research, Douglas Ezzy reviews approaches to data analysis in established research traditions including ethnography, phenomenology and symbolic interactionism, alongside the newer approaches informed by cultural studies and feminism.
Super Crunchers are the pioneers who 'think by numbers' to find patterns in human behaviour and predict the future -- with staggeringly accurate results
Appropriate for all levels of expertise, this book provides the knowledge and tools required to conduct a human error analysis of accidents, regardless of operational category (military, commercial or general aviation).
There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results.
Intended as a primer for those just beginning to study nursing informatics, this title provides an introduction to basic terms and concepts, as well as an exploration of the most popular applications in nursing practice, education, administration and research.
Presents methods for analyzing data. This book includes binomial, multinomial and Poisson non-linear models.
Responding to the developments in the field as well as to the needs of a new generation of professionals and students, this edition offers a comprehensive introduction to the most important methods for categorical data analysis. It is suitable for statisticians and biostatisticians as well as scientists and graduate students practicing statistics.
Covering a multitude of different aspects of robust statistics, this title discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers.