An Introduction to Statistics and Data Analysis Using Stata® by Lisa Daniels and Nicholas Minot provides a step-by-step introduction for statistics, data analysis, or research methods classes with Stata. Concise descriptions emphasize the concepts behind statistics for students rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.
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Lisa Daniels is the Hodson Trust Professor of Economics at Washington College in Chestertown, Maryland. She specializes in development in Africa, where she worked for ten years, beginning as a Peace Corps volunteer. During this time, she studied agricultural markets, market information systems, poverty trends, and micro- and small-scale enterprises. As part of her research on micro- and small-scale enterprises, she directed national surveys of 7,000 to 56,000 households and business in Bangladesh, Botswana, Kenya, Malawi, and Zimbabwe funded by the United States Agency for International Development. In each survey, she was she was responsible for the questionnaire design, sample selection, data collection and analysis, and report preparation. Her work from these surveys and other research in Africa and Asia appears as both consulting reports and in peer-reviewed journals. In addition to research and fieldwork, she has taught a range of courses over the past 22 years, including a Research Methods course and a Data Analysis course that she has taught 16 times. She has also presented her work related to teaching at over a dozen workshops.
Nicholas Minot is a Senior Research Fellow at the International Food Policy Research Institute (IFPRI) in Washington, DC. Since joining IFPRI in 1997, he has carried out research on the agricultural market reform, income diversification, spatial patterns in policy, and food price volatility in developing countries. This research often involves carrying out surveys of farmers, cooperatives, traders, and consumers to better understand changes in food marketing systems. In addition to research, he is involved in outreach and capacity building activities, including offering short courses on the use of Stata for survey data analysis. Before joining IFPRI he taught at the University of Illinois in Urbana-Champaign, served as a policy adviser in Zimbabwe and analyzed survey data in Rwanda. Overall, he has worked in more than two dozen countries in Latin America, sub-Saharan Africa, North Africa, and Asia.
"This book introduces statistical methods to students while, at the same time, walking them through the process by which to apply those methods to real-world problems using Stata. This is something that is severely lacking in methods texts at this time."
Author: Steven P. Nawara"This is so far one of the best introductions to statistics and Stata that I have seen, particularly for my students who really need a bit of hand holding. This will likely make it less intimidating for students with no exposure to statistics."
Author: Holona LeAnne Ochs"I found the style of the book very sound for today’s student. The style wasn’t overly formal nor was the material presented in an overly complicated fashion. The author kept to a somewhat casual, approachable writing style that should be perfect for the modern college student."
Author: Wendy L. Hicks"This is a much needed book that encompasses research methods through to the analysis stage and reporting writing."
Author: Eileen M. Ahlin"About this title" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. Providing information from data preparation and mean, median and mode, to regression, Lisa Daniels and Nicholas Minot use concise descriptions to help students understand the concepts behind statistics rather than the derivations of the formulas. Examples within the text come from criminal justice, economics, political science, psychology, public health and sociology, in addition to news articles on social science research. The book also includes three introductory chapters on research and a final chapter for writing up results and presenting data analyses. Offering a step-by-step introduction to data analysis in Stata, this text uses examples from a variety of disciplines and extensive detail on the commands in stata. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781506371832
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