11.011 - Analyzing NAEP Assessment Data With Plausible Values: Hands-On Practice Approach With the NAEP Sample Data File

Session Type: Professional Development Course

Abstract

The title of the proposed course is Analyzing Large Scale Assessment Data such as NAEP, PISA, PIRLS or TIMSS with Plausible Values: Hands-on Practice Approach with the National Assessment of Educational Progress Sample Data File, Primer. The format of this course consists of lectures and hands-on practice of NAEP data analysis with plausible values. Many researchers are interested in analyzing NAEP data. The unique psychometric features of NAEP, however, prohibit researchers from analyzing NAEP data using common statistical software packages (e.g. SAS or SPSS) without special handling. The objective of this course is to provide participants with the knowledge and understanding of the psychometric design and complex sampling structure of NAEP data and practical tools to analyze large-scale data such as NAEP and TIMSS. Participants will learn how to analyze plausible values with a software program such as the AM. This course is designed for individuals in government, universities, private sector, and nonprofit organizations who are interested in learning how to analyze large-scale assessment data with plausible values such as NAEP or TIMSS. Introductory course work in statistical methods is strongly recommended. Participants are expected to have working knowledge of Item Response Theory and sampling theory. Familiarity with Windows and statistical software programs such as SPSS and/or SAS is required. Familiarity with the AM software is useful, but not required. Participants are required to bring their own laptop with Windows and SAS or SPSS. There will be no pre-assignment, but reading the training materials in advance will be helpful.

Sub Unit

• Professional Development and Training Committee

Instructors

• Emmanuel Sikali, U.S. Department of Education

• Young Yee Kim, American Institutes for Research