Analysis of Longitudinal Study of American Youth (LSAY) Data
The Longitudinal Study of American Youth (LSAY) has followed a national probability sample of 7th and 10th grade public school students for the last 25 years and is the largest and most comprehensive data set available to examine the factors that contribute to student and young adult interest in and understanding of science and technology. The LSAY is distinctive in its measurement of home, school, peer, and community variables over more than two decades, making it ideal for analyses that seek to understand the interaction between and among these factors.
This workshop will introduce participants to the nature and structure of the LSAY data set and to the procedures needed to analyze it. The course will:
- Introduce the structure and logic of the LSAY data set and its naming conventions
- Describe the measures of achievement in science and mathematics and review the psychometric basis for these scales
- Describe the coding of open-ended items in the LSAY longitudinal record
- Discuss geographic and related codes included in the data set
- Discuss measurement error inherent in repeated measures and strategies for dealing with this error
- Provide a general understanding of prior work using the LSAY data set
Dates: July 23-28, 2012. The course will begin at noon on Monday, July 23, and end at noon on Saturday, July 28.
Deadlines: All application materials must be submitted no later than Friday, June 8, 2012. Applicants will be notified by June 15, 2012.
Admission to the course is competitive and enrollment is limited to 20 participants. Current graduate students will not be accepted for enrollment this summer. Preference will be given to current NSF grantees and to the staff of current NSF-funded projects.
Fee: There is no fee for the course.
Stipend: Participants admitted to the course will receive a $2,000 stipend to cover costs associated with travel and lodging.
Software: Participants should have some prior experience with SPSS.
To apply for the course, complete the Summer Program portal registration information (by clicking on the "Registration & Fees" tab at the top of this page) and then upload the following documents through the Portal:
- Current curriculum vita
- Brief letter of interest describing how you plan to apply the knowledge and skills gained by attending the workshop, including relevance to your research agenda, and any prior experience with SPSS
- Relationship to a current NSF-funded project, if any