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A comparison of analysis methods to estimate contingency strength
Author(s) -
Lloyd Blair P.,
Staubitz Johanna L.,
Tapp Jon T.
Publication year - 2018
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.463
Subject(s) - reinforcement , contingency table , sensitivity (control systems) , parametric statistics , statistics , schedule , lag , event (particle physics) , contingency , interval (graph theory) , set (abstract data type) , computer science , mathematics , psychology , engineering , social psychology , philosophy , quantum mechanics , combinatorics , electronic engineering , programming language , operating system , computer network , linguistics , physics
To date, several data analysis methods have been used to estimate contingency strength, yet few studies have compared these methods directly. To compare the relative precision and sensitivity of four analysis methods (i.e., exhaustive event‐based, nonexhaustive event‐based, concurrent interval, concurrent+lag interval), we applied all methods to a simulated data set in which several response‐dependent and response‐independent schedules of reinforcement were programmed. We evaluated the degree to which contingency strength estimates produced from each method (a) corresponded with expected values for response‐dependent schedules and (b) showed sensitivity to parametric manipulations of response‐independent reinforcement. Results indicated both event‐based methods produced contingency strength estimates that aligned with expected values for response‐dependent schedules, but differed in sensitivity to response‐independent reinforcement. The precision of interval‐based methods varied by analysis method (concurrent vs. concurrent+lag) and schedule type (continuous vs. partial), and showed similar sensitivities to response‐independent reinforcement. Recommendations and considerations for measuring contingencies are identified.