Duplicates in PARCC Data

PARCC · March 2017

Duplicates in PARCC Data — PARCC, March 2017.
Published

March 14, 2017

Event
Invited talk
Slides
5
Format
Converted from Keynote

This deck is an image-based copy of the original slides. Builds and animations are flattened; the slide text is reproduced below for search and screen readers.

Slide text
  1. DUPLICATES IN PARCC DATA AN OVERVIEW Damian W Betebenner National Center for the Improvement of Educational Assessment Dover, New Hampshire March15th, 2017
  2. BACKGROUND • Duplicate cases are defined as cases in the data set the are redundant on CONTENT_AREA, YEAR, and ID • That is, duplicate cases represent situations where more than one test record exists in a given CONTENT_AREA and YEAR for a student. • There are both legitimate and illegitimate reasons for duplicates of this sort. • Currently we accommodate the duplicates (without getting into the issue of whether they are legitimate or illegitimate). • The problems with duplicates from a growth perspective is that we have to accommodate all permutations of current score/prior score duplicates leading to potentially a large number of SGPs.
  3. EXAMPLE: STUDENT WITH DUPLICATES IN ALL 3 YEARS: 8 PERMUTATIONS Spring 2014 Spring 2015 Spring 2016
  4. ANALYSIS • Across all windows of data received thus far, there are 1,398 records that would be considered duplicates. • These records occur in all content areas and years as follows: Algebra I Algebra II Geometry Mathematics ELA
  5. ANALYSIS • Students with duplicates in one year often have duplicates in other years. • For example, of the 214 ELA duplicates in 2016-2017.1, 106 duplicates in 2015-2016.2 had IDs in that set. Not all of those duplicates fit into analyzable grade sequences, but some did. • As we being preparations for the Spring 2016-2017 analyses, we think it is necessary to understand: • Why these duplicates exist? • What states would like done with these duplicates in terms of growth analyses.