Read more
Informationen zum Autor Lisa Daniels is the Hodson Trust Professor Emeritus of Economics at Washington College in Chestertown, Maryland. She specializes in development in Africa, where she worked for 10 years, beginning as a Peace Corps volunteer. During her time in Africa, 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 businesses in Bangladesh, Botswana, Kenya, Malawi, and Zimbabwe funded by the U.S. Agency for International Development. In each survey, 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 in consulting reports and in peer-reviewed journals. In addition to research and fieldwork, she has taught a range of courses over the past 28 years, including a research methods course and a data analysis course that she has taught over 20 times. She has also presented her work related to teaching at more than a dozen workshops. Nicholas Minot is a Senior Research Fellow at the International Food Policy Research Institute (IFPRI) in Washington, D.C. Since joining IFPRI in 1997, he has carried out research on 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. Klappentext Zusammenfassung 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. Inhaltsverzeichnis Part 1: The research process and data collection Chapter 1: The research process and data collection Read the literature and identify gaps or ways to extend the literature Examine the theory Develop your research questions and hypotheses Develop your research method Analyze the data Write the research paper Chapter 2: Sampling techniques Sample design Selecting a sample Sampling weights Chapter 3: Questionnaire design Structured and semi-structure questionnaires Open- and closed-ended questions General guidelines for questionnaire design Designing the questions Collecting the response data Skip patterns Ethical issues Part 2: Describing Data Chapter 4: An Introduction to Stata Opening Stata and Stata Windows Working with existing data Entering your own data into Stata Using log files and saving your work Getting help Summary of commands used in chapter Chapter 5: Preparing and transforming your data Checking for outliers Creating new variables Missing values in Stata Summary of commands used in chapter Chapter 6: Descriptive statistics Types of variable and measurement Descriptive statistics for all types of variables -- frequency tables and modes Descriptive statistics for variables measured as ordinal, interval, and ratio scales -- median and percentiles Descriptive statistics for continuous variables -- mean, variance, standard deviation, and coefficient of variation Descriptive statistics for categ...
