Using Video Modeling with Voice-over Instruction to Train Public School Staff to Implement a Preference Assessment

Abstract

The identification of putative reinforcers is a critical component of programming for individuals with disabilities. A multiple stimulus without replacement preference assessment is one option for identifying putative reinforcers; however, staff must be trained on the steps necessary to conduct the assessment for it to be useful in practice. This study examined the effectiveness of using video modeling with voice-over instruction (VMVO) to train two public school staff to conduct this assessment. Results demonstrate that VMVO was effective in training, producing generalized responding, maintenance, and high social validity ratings.