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Data Analysis with STATA

You're reading from   Data Analysis with STATA Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

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Product type Paperback
Published in Oct 2015
Publisher Packt
ISBN-13 9781782173175
Length 176 pages
Edition 1st Edition
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Stata and Data Analytics 2. Stata Programming and Data Management FREE CHAPTER 3. Data Visualization 4. Important Statistical Tests in Stata 5. Linear Regression in Stata 6. Logistic Regression in Stata 7. Survey Analysis in Stata 8. Time Series Analysis in Stata 9. Survival Analysis in Stata Index

Survey analysis concepts


Many companies and people are hesitant or do not have the bandwidth to conduct surveys. They depend on some of the market research or survey agencies to conduct these surveys, and the results are also analyzed by these agencies. Many of the given estimates and documented standard errors that come from the survey analysis are calculated differently based on various sampling designs and the techniques available in the market. In case of a wrongly specified sampling design, the estimates and the standard errors can go for a toss. This is really crucial in order to understand survey analysis and design.

The following are some of the terminologies and concepts that you need to be well aware of:

  • Weights: There are various weights assigned during survey design and analysis process. The most common weights among all of these is the sampling weight. Some of the statisticians denote this by pweight. It denotes inverse probability on the chances of it being included in the given...

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