Download Free Interpreting Data Book in PDF and EPUB Free Download. You can read online Interpreting Data and write the review.

This book has been replaced by Statistics Translated, Second Edition, ISBN 978-1-4625-4540-7.
This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied.
A grasp of the ways in which data can be collected, summarised and critically appraised is fundamental to application of the commonly used inferential techniques of statistics. By reviewing the criteria for the design of questionnaires, planned experiments and surveys so as to minimise bias and by considering research methodology in general, this book clarifies the basic requirements of data collection. This introduction to statistics emphasizes the importance of data - its collection, summary and appraisal - in the application of statistical techniques. This book will be invaluable to first- year students in statistics as well as to students from other disciplines on courses with a 'statistics module'. Non-numerated postgradates embarking on research will also find much of the content useful.
Written in a non-technical, everyday language, this supplementary bookhelps readers learn about and practice working with graphs and tables of numbers found in popular and scholarly publications, and understand the output from statistical software.
Introduces and gives examples of some interpretive techniques for analyzing qualitative data that derive from four theories: ethnomethodology, semiotics, dramaturgy and deconstruction.
This new edition of Basic Skills in Interpreting Laboratory Data, 4th Edition is acase-based learning tool that will enhance your skills in clinical lab test interpretation. It provides fundamentals of interpreting lab test results not only for pharmacy students, but also for practitioners as an aid in assessing patient drug-treatment responses. It is the only text written by and for pharmacists and provides case studies and practical information on patient therapy.Since the publication of the third edition, much has changed—in the clinical lab and in the hospital pharmacy. Consequently, the new fourth edition incorporates significant revisions and a wealth of important new information. NEW TO THIS EDITION: Three new chapters including new information on men’s health, women’s health, and pharmacogenomics and laboratory tests. Mini-cases embedded in each chapter provide therapy-related examples and reinforce important points made in the text. Quickview Charts give an overview of important clinical information including reference ranges and critical values. Learning Points focus on a clinical application of a major concept present in the chapter.
This a much expanded and updated version of David Silverman’s best-selling introductory textbook for the beginning qualitative researcher. Features of the New Edition: Takes account of the flood of qualitative work since the 1990s All chapters have been substantially rewritten with the aim of greater clarity A new chapter on Visual Images and a considerably expanded treatment of discourse analysis are provided The number of student exercises has been considerably increased and are now present at the end of every chapter An even greater degree of student accessibility: Key Points and Recommended Readings appear at the end of each chapter and technical terms are highlighted and appear in a Glossary A more inter-disciplinary social science text which takes account of the growing interest in qualitative research outside sociology and anthropology from psychology to geography, information systems, health promotion, management and many other disciplines Expanded coverage – 50% longer than the First Edition Interpreting Qualitative Data – New Edition is a companion volume to Silverman's Doing Qualitative Research (Sage, 2000), which is a guide to the business of conducting a research project, together with its accompanying volume of key readings Qualitative Research: Theory Method & Practice, (Sage, 1997), which provides further more focused material that students need before contemplating their own qualitative research study.
Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods courses and that are often covered sketchily in the research methods textbooks: where to find commonly used measures of political and social conditions; how to assess the reliability and validity of specific indicators; how to present data efficiently in charts and tables; how to avoid common misinterpretations and misrepresentations of data; and how to evaluate causal arguments based on numerical data. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.
Drawing on the expertise of major names in the field, this text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume.
"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.