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Three parallel twin studies of early reading development were conducted in Australia, Colorado, and Scandinavia (Norway & Sweden). Investigators Brian Byrne, Richard Olson, and Stefan Samuelsson have committed to creating a unified data set suitable for cross-country comparisons. This study is known by a host of acronyms including:

  • RDS: Reading Development Study
  • ERDS: Early Reading Development Study
  • ILTS:
  • LSERD: Longitudinal Study of Early Reading Development (thus the lizard)

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Data from each assessment wave from each country is sent to a single location (currently IBG - Robin Corley) for creation of a unified assessment wave data set, e.g., IT (Initial Test) or F1 (Follow-Up 1). Selected variables from the individual waves are then combined into a working individual-level cross-assessment file, and a twin-pair (double-entered) cross-assessment file.

Progress: Major Task is to document status of cross-site files

  1. Update summary file for literacy tests - Status: assumed complete
  2. Update cumulative behavior item file - Status: In progress
  3. Update cumulative health items file - Status: In progress
  4. Update cumulative environmental variables file - Status: Not begun
  5. Create cumulative test item-level file - Status: Not begun

19-May-2020: Review of the status of the cumulative files has begun, and cumulative files from Australia, Colorado, and Sweden are being assessed for completeness.

Update of the files other than the item-level file expected by end of July, 2020. Drafts of item-level files expected by end of August, 2020.

Documentation of the contents of each file expected by end of year, 2020

Scripts to create the cross-site assessment wave file

Testing Summary Files:

The files that are available for download are listed below. They represent SPSS Export (Portable) files that can be opened by either SPSS or SAS. These files represent the test session data collected from each twin.

Additional Information files

ACCESS for non-SPSS users

SPSS files can be read by SAS. If using R, this library package appears to “translate” SPSS .sav files adequately. A similar function is available for .por files, which are soon to be phased out of SPSS.

df <- read_sav('kidpar.sav')

The combined IT-F4 data can also be accessed as an Excel file with the data on one sheet and labeling information on a second. This should allow access to those without ready access to SPSS.

Using the data:

All ERDS collaborators have a responsibility to use the ERDS data responsibly, including restricting access to these files to those colleagues who have requested and received permission to work with the data. Please notify the site manager IMMEDIATELY if information is found in the files that directly identifies families (e.g., date of birth).



erds/start.txt · Last modified: 2020/07/20 17:06 by corley