A Comparison of Two Data Analysis Training Methods for Paraprofessionals in an Educational Setting

Abstract

Analyzing and using student educational data to guide instructional programming is a critical staff skill to ensure quality programming based on applied behavior analysis. We compared two training methods to teach staff to use rules to analyze graphed educational data to enact program changes: didactic instruction and behavioral skills training using direct practice. Participants showed improvements in verbally identifying data patterns using simulated data; however, participants in the latter group were also effective using actual student data. The lack of correspondence between rule identification and rule following challenges the assumption that an individual’s ability to identify rules predicts actual performance.

KEYWORDS:

• assessment
• employee performance
• rule-following feedback
• training