Impact of Ignoring Nested Data Structures on Ability Estimation

Impact of Ignoring Nested Data Structures on Ability Estimation

The literature is clear that intentional or unintentional clustering of data elements typically results in the inflation of the estimated standard error of fixed parameter estimates. This study is unique in that it examines the impact of multilevel data structures on subject ability which are rando...

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Bibliographic Details
Main Author: Shropshire, Kevin O'Neil
Other Authors: Educational Leadership and Policy Studies
Format: Others
Published: Virginia Tech 2015
Subjects:
Complex survey designs
clustering
PSU
nested data
multilevel data
hierarchical data
two-level HGLM
three-level HGLM
Rasch
ability estimation
Online Access:http://hdl.handle.net/10919/64197

Internet

http://hdl.handle.net/10919/64197

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