---
title: How can data from the OASR and OABCL be coordinated for research purposes?
description: "Answer: Multi-informant data can be used to classify people as deviant vs. nondeviant by selecting a"
url: "https://answers.aseba.org/post/how-can-data-from-the-oasr-and-oabcl-be-coordinated-for-research-purposes/"
updated: "2024-01-30"
category: ASEBA Forms
tags:
  - "Cross-Informant Reports"
  - "OABCL 60-99"
  - "OASR 60-99"
  - Older Adult Age Forms
---

# How can data from the OASR and OABCL be coordinated for research purposes?

Answer: Multi-informant data can be used to classify people as deviant vs. nondeviant by selecting a criterion appropriate for the user’s aims and for the available data. For example, if the OASR and two OABCLs have been completed for each person, a user can elect to classify people as deviant on a particular scale if 2 of the 3 forms yield scores in the borderline or clinical range on that syndrome. Multi-informant data can also be combined quantitatively by converting raw scores to standard scores within a sample. Most statistical software has options for converting raw scores to standard scores with convenient parameters such as mean = 100, SD = 15. The user can then average the standard scores to create a composite cross-informant score for each person. The composite scores can be analyzed statistically. Because the OASR and OABCL scores for a particular scale are assumed to measure a particular latent variable, structural equation modeling can also be used to analyze cross-informant data.