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Review
. 2022 Mar 14;15(4):1361-1372.
doi: 10.1007/s40617-022-00684-x. eCollection 2022 Dec.

Toward an Understanding of Data Collection Integrity

Cody Morris  1 , Alissa A Conway  2 , Jessica L Becraft  3 , Biancé J Ferrucci  1
Affiliations
Review

Toward an Understanding of Data Collection Integrity

Cody Morris et al. Behav Anal Pract. .

Abstract

Data collection is an integral part of the practice of behavior analysis because behavior analysts rely on data to inform their clinical decisions. Data collection integrity (DCI) is the degree to which data are collected as planned, and issues with DCI can lead to misinformed clinical decisions. The current study aims to add to the limited research on DCI by evaluating risk factors and interventions that target DCI. An online survey, conducted through QualtricsTM, was completed by a combined total of 232 Board-Certified Behavior Analysts (BCBAs) and Board-Certified Behavior Analysts-Doctoral (BCBA-Ds). Participants answered questions about their demographics, their data collectors, their concerns about data collection, the systems they use to collect data, the training they provide data collectors, and the strategies they use to address data-collection issues. Results indicated that many risk factors related to DCI issues might be prevalent in behavior analytic practice. Recommendations on how to address DCI issues are provided.

Supplementary information: The online version contains supplementary material available at 10.1007/s40617-022-00684-x.

Keywords: Data accuracy; Data collection; Data collection integrity; Treatment integrity.

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Conflict of interest statement

Conflicts of Interest/Competing InterestsNot Applicable.

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