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Precursor behavior and functional analysis: A brief review
Author(s) -
Heath Hayden,
Smith Richard G.
Publication year - 2019
Publication title -
journal of applied behavior analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 76
eISSN - 1938-3703
pISSN - 0021-8855
DOI - 10.1002/jaba.571
Subject(s) - functional analysis , safer , psychology , identification (biology) , behavioral analysis , process (computing) , applied behavior analysis , functional connectivity , computer science , applied psychology , neuroscience , developmental psychology , autism , computer security , biochemistry , chemistry , botany , biology , gene , operating system
Researchers have developed precursor functional analyses to provide an alternative, and presumably safer, format for functional analysis of severe problem behavior. When researchers use functional analysis contingencies for precursor behaviors, it is possible to infer functional characteristics about severe problem behaviors based on patterns of less severe precursor behaviors, permitting practitioners to complete the assessment with less risk to clients, practitioners, or others. The current paper discusses recent advances in the development and validation of precursor identification, and offers suggestions and future directions for investigating and implementing precursor functional analyses. We propose a decision‐making model, in which practitioners integrate procedures to identify precursors into the functional‐analysis process, to expedite the analysis of severe problem behaviors.