Marcos Carzolio's guest appearances

Marcos Carzolio

LISA: Laboratory for Interdisciplinary Statistical Analysis - Short Courses

ERIC SMITH

Matt Williams

Anne Ryan

Block Design

Qing Li

Eric Vance

Jonathan Stallings

Khaled Bedair

Yiming Peng

Mark Seiss

Chris Franck

Nels Johnson

Liang Shan

Wandi Huang

Sai Wang

OwlTail

This course will follow the Designing Surveys course focusing on analyzing the data collected from surveys. Different statistical approaches will be discussed as well as graphing and presentation of results.Course files available here: www.lisa.stat.vt.edu/?q=node/4691.

This course will follow the Designing Surveys course focusing on analyzing the data collected from surveys. Different statistical approaches will be discussed as well as graphing and presentation of results.<br><br>Course files available here: <a href="http://www.lisa.stat.vt.edu/?q=node/4691" rel="nofollow" target="_blank">www.lisa.stat.vt.edu/?q=node/4691</a>.

Analyzing Surveys by Marcos Carzolio

Researchers sometimes ask, “What is the best way to know [something about] my subjects?” Often, the answer is simply to “Just ask them!” Surveys are a popular research tool that come with easily-overlooked pitfalls. However, the thoughtfully and properly designed survey can ellicit very useful data and information. Once the data are collected, data visualization methods can provide the researcher with a next step in the analysis. In this course, the principles of error minimization and survey bias will be discussed. Topics covered will include sampling methods, sample size calculations, questionnaire design, and exploratory data plotting. Real-world examples will be presented.Course files available here: www.lisa.stat.vt.edu/?q=node/3375.

Researchers sometimes ask, “What is the best way to know [something about] my subjects?” Often, the answer is simply to “Just ask them!” Surveys are a popular research tool that come with easily-overlooked pitfalls. However, the thoughtfully and properly designed survey can ellicit very useful data and information. Once the data are collected, data visualization methods can provide the researcher with a next step in the analysis. In this course, the principles of error minimization and survey bias will be discussed. Topics covered will include sampling methods, sample size calculations, questionnaire design, and exploratory data plotting. Real-world examples will be presented.<br><br>Course files available here: <a href="http://www.lisa.stat.vt.edu/?q=node/3375" rel="nofollow" target="_blank">www.lisa.stat.vt.edu/?q=node/3375</a>.

How to Create a Successful Survey by Marcos Carzolio