发帖
雷达卡
by Lisa Daniels (Author), Nicholas W. Minot (Author)
About the Author
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.
About this book
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.
Brief contents
PART I THE RESEARCH PROCESS AND DATA COLLECTION 1
Chapter 1 The Research Process 2
Chapter 2 Sampling Techniques 10
Chapter 3 Questionnaire Design 25
PART II DESCRIBING DATA 41
Chapter 4 An Introduction to Stata 42
Chapter 5 Preparing and Transforming Your Data 59
Chapter 6 Descriptive Statistics 74
PART III TESTING HYPOTHESES 109
Chapter 7 The Normal Distribution 110
Chapter 8 Testing a Hypothesis About a Single Mean 131
Chapter 9 Testing a Hypothesis About Two Independent Means 142
Chapter 10 One-Way Analysis of Variance 157
Chapter 11 Cross Tabulation and the Chi-Squared Test 172
PART IV EXPLORING RELATIONSHIPS 185
Chapter 12 Linear Regression Analysis 186
Chapter 13 Regression Diagnostics 217
Chapter 14 Regression Analysis With Categorical Dependent Variables 253
PART V WRITING A RESEARCH PAPER 283
Chapter 15 Writing a Research Paper 284
References 301
APPENDICES 303
Glossary 354
About the Authors 360
Name Index 361
Subject Index 363
Pages: 392 pages
Publisher: SAGE Publications, Inc; First edition (January 29, 2019)
Language: English
ISBN-10: 1506371833
ISBN-13: 978-1506371832
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