Authors: | Lisa Daniels and Nicholas Minot |
Publisher: | Sage Publications |
Copyright: | 2020 |
ISBN-13: | |
Pages: | 392; eBook |
Price: | $0.00 |
Authors: | Lisa Daniels and Nicholas Minot |
Publisher: | Sage Publications |
Copyright: | 2020 |
ISBN-13: | |
Pages: | 392; Kindle |
Price: | $ |
An Introduction to Statistics and Data Analysis Using Stata , by Lisa Daniels and Nicholas Minot, is an excellent textbook for introducing statistics, research methods, and Stata to undergraduate students in social sciences, behavioral sciences, business, and similar disciplines. This book walks students through the entire research process from designing a study and collecting data to performing statistical analyses to reporting the results. The authors discuss descriptive statistics and graphics for describing data; hypothesis testing for one and two means; cross tabulations and tests for association; and linear, logistic, and probit regression.
The authors devote one of the early chapters to introducing Stata. Then, throughout the book, they demonstrate how to use Stata commands and Stata's point-and-click interface for each data management task, graph, and statistical analysis they discuss.
Daniels and Minot provide many resources for instructors and students. Instructors have access to suggested test and homework problems along with solutions. They can also take advantage of PowerPoint slides that correspond with each chapter in the book. Students have access to all datasets so that they can work along with examples in the book. They can also use the electronic flashcards provided to review the concepts discussed in each chapter. Drawing on over 20 years of experience teaching statistics to undergraduate students, the authors are careful to include everything you need for an introductory statistics course taught using Stata.
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IMAGES
COMMENTS
Using Stata for Applied Research: Reviewing its Capabilities Christopher F. Baum, Boston College, DIW Berlin Mark E. Schaffer, Heriot-Watt University, CEPR, IZA Steven Stillman, Motu Economic and Public Policy Research, University of Waikato, IZA
PDF | On Jan 1, 2001, Kim Chantala published Using STATA to Analyze Data from a Sample Survey | Find, read and cite all the research you need on ResearchGate
The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata's language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular … | View full journal description.
In this article, I review Data Management Using Stata: A Practical Handbook, Second Edition, by Michael N. Mitchell (2020, Stata Press).
This document focuses on the use of Stata software in research and data processing. Operations are performed on Stata 16. This document refers to how to use statements to perform descriptive statistics and correlation analysis, OLS regression, to serve the research...
In this article, I review An Introduction to Stata for Health Researchers, by Svend Juul and Morten Frydenberg (2021, Stata Press).
Abstract This article provides a guide to approaching empirical research work for the first time, as well as obtaining a foundation in the use of the statistical software package, Stata. The emphasis revolves around data cleaning and its importance in writing a good research essay. I also cover a basic introduction to Stata, the importance of do-files, common data problems and good coding ...
Abstract This article provides a guide to approaching empirical research work for the first time, as well as obtaining a foundation in the use of the statistical software package, Stata. The emphasis revolves around data cleaning and its importance in writing a good research essay.
On Synthetic Diference-in-Diferences and Related Estimation Methods in Stata Damian Clarke Department of Economics University of Chile [email protected]
This document provides an introduction to the use of Stata. It is designed to be an overview rather than a comprehensive guide, aimed at covering the basic tools necessary for econometric analysis. Topics cov-ered include data management, graphing, regression analysis, binary outcomes, ordered and multinomial regression, time series and panel data. Stata commands are shown in the context of ...
T he book is a useful resource for data analysis using Stata for undergraduate, postgrad- uate, and doctoral students of medical sciences and other health-related disciplines,
The purpose of this guide is to provide both a basic understanding of statistical concepts (know-why) as well as instructions for analysing quantitative data in Stata (know-how). The assumption is ...
The objective of this guide is to assist BSc/MSc students, PhD students, and junior researchers in using Stata for empirical archival research. Stata is a powerful program that can be used to analyze many different research questions in the fields of accounting, finance, economics, and beyond.
Stata also contained a standard programming language and a full-fledged matrix programming language, both which are extensively used by StataCorp when writing official Stata commands. More than anything, Stata has a number of features that are designed to maximise the experiences of its users.
Linear Regression in Stata: A Hands-on Tutorial Basic introduction to linear regression analysis, diagnostics and presentation (using Stata)
First, find out what directory Stata is using: pwd (stands for present working directory) To change the directory: cd C:\folder (in Windows) To open a dataset within Stata: use filename.dta (.dta indicates a Stata file) To keep Stata open, but clear all contents: clear. To save Stata files: save filename / save filename, replace.
Abstract. Michael Mitchell's Interpreting and Visualizing Regression Models Using Stata is a clear treatment of how to carefully present results from model-fitting in a wide variety of settings ...
Abstract. xsmle is a new user-written command for spatial analysis. We consider the quasi-maximum likelihood estimation of a wide set of both fixed- and random-effects spatial models for balanced panel data. xsmle allows users to handle unbalanced panels using its full compatibility with the mi suite of commands, use spatial weight matrices ...
Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty data sets from actual research for students to test ...
Data Analysis Using Stata, Third Editionis a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.
Textbook discussing the concepts of research, data collection, data analysis and statistics methods using Stata.
Panel data analysis refers to the statistical analysis of data sets consisting of multiple. observations on each sampling unit. This could be generated by pooling time-series observations. across ...
Introduction t. s in MindJohn C. Frain.February 2010AbstractThis paper is an. ntroduction to Stata with econometrics in mind. One aim of the proposed methodology is the keeping of appropriate r. cords so that results can be easily replicated. These records should meet the requirements of management and internal audit functions in policy making ...