JSM 2005 - Toronto

Abstract #304260

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page



Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 26
Type: Contributed
Date/Time: Sunday, August 7, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #304260
Title: Designing a Sampling Method for a Survey of Iowa High School Seniors
Author(s): Kyle Hewitt*+ and Michael D. Larsen
Companies: Lawrence University and Iowa State University
Address: 48185 Red Iron Rd, Kasota, MN, 56050, United States
Keywords: clustering sample ; stratified sampling ; Pps sampling ; random sampling ; high school survey ; two-stage cluster sample
Abstract:

When choosing what one does after high school, today's graduates have many options. In 2004, the Iowa Department of Education decided to conduct a survey of high school seniors in order to identify variables that may predict a student's postgraduation plans. The Iowa Department of Education asked Iowa State University to design a sampling method for selecting which students will be questioned. In order to design this sampling method, the pros and cons of three common sampling designs---simple random sampling, stratification, and cluster sampling---are evaluated with respect to the specific details of the Department of Education survey. Six potential sampling methods are developed. The efficiency of these sampling methods is evaluated by using each to select samples of simulated data designed to be representative of the data that will be collected in the Iowa Department of Education survey. For each sample, a 95% confidence interval is calculated and the resulting margins of error are compared; the lower the margin of error, the more efficient the sampling method. The most efficient sampling methods are recommended to the Iowa Department of Education.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005