z-logo
Premium
QUANTIFYING CONTINGENT RELATIONS FROM DIRECT OBSERVATION DATA: TRANSITIONAL PROBABILITY COMPARISONS VERSUS YULE'S Q
Author(s) -
Lloyd Blair P.,
Kennedy Craig H.,
Yoder Paul J.
Publication year - 2013
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.45
Subject(s) - statistic , psychology , contingency table , contingency , stimulus (psychology) , statistics , developmental psychology , cognitive psychology , mathematics , linguistics , philosophy
Measuring contingencies or sequential associations may be applied to a broad range of response–stimulus, stimulus–stimulus, or response–response relations. Within behavior analysis, response–stimulus contingencies have been quantified by comparing 2 transitional probabilities and plotting them in contingency space. Within and outside behavior analysis, Yule's Q has become a recommended statistic used to quantify sequential associations between 2 events. In the current paper, we identify 2 methods of transitional probability comparisons used in the behavior‐analytic literature to estimate contingencies in natural settings. We compare each of these methods to the more established Yule's Q statistic and evaluate relations between each pair of indices. Advantages and disadvantages of each method are identified, with recommendations as to which approach may be most appropriate for measuring contingencies.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here