5:00pm to 7:00pm |
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LISA Statistics Short Course: Survey Design and Analysis
(Academic)
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Spring 2014 Schedule:
Tuesday & Thursday, February 11 & 13: Basics of R;*
Tuesday & Thursday, February 18 & 20: Statistical Analysis in R;*
Tuesday & Thursday, February 25 & 27: Graphics in R;*
Tuesday & Wednesday, March 4 & 5: Introduction to JMP;*
Tuesday, March 18: Advanced Topics in R: parallel processing, structural equation modeling, and the bootstrap;
Tuesday, April 1: Survey Design and Analysis;
Tuesday, April 10: Accelerating statistical calculations using inexpensive graphics cards;
Tuesday, April 15: Multiple Imputation and Missing Data;
*Two sessions of the same course to accommodate more attendees.
Tuesday, April 1;
Instructor: Olawale Awe;
Title: Survey Design and Analysis;
Course Information:
Researchers often use sample survey methodology to obtain information and make inferences about a large aggregate or population. The application of a wide variety of available sampling designs requires an understanding of some fundamental statistical concepts.
The main goal of this short course is to provide a rigorous introduction to practical methods involved in conducting a successful survey. Topics covered will include sampling methods, sample size calculations, questionnaire design, likert scales, data entry/coding and exploratory data plotting using the SPSS/PASW package.
Practical data will come from two surveys. The first is a previously published survey (Statistics Education in Nigeria: A Recent Survey). The second is a survey of class enrollees found here (https://virginiatech.qualtrics.com/SE/?SID=SV_ezK9HJSHnNWe9Mh). Please fill out this survey before class.
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