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Systems analysis of dynamic interaction: Prediction from individual parameters
Author(s) -
Bavels Janet Beavin
Publication year - 1978
Publication title -
behavioral science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 45
eISSN - 1099-1743
pISSN - 0005-7940
DOI - 10.1002/bs.3830230306
Subject(s) - dyad , variance (accounting) , set (abstract data type) , sequence (biology) , relation (database) , function (biology) , psychology , subject (documents) , computer science , econometrics , statistics , mathematics , social psychology , data mining , accounting , evolutionary biology , biology , business , genetics , programming language , library science
These experiments conclude a program of research aimed at developing a method bywhich a dyadic unit can be studied as a formal system, a living system at the level of the group. The dyad chosen was one in which a subject acting as “teacher” repeatedly set a goal for another subject, who performed in response to that g o d Each half of the dyad was first studied individually, with input and output variables determined by their dyadic relation. This earlier research described the judgment function by which A chose goals for B in accordance with B's prior performance and then those by which B responds to various goal levels set by A. The parameters from these experiments were used here to predict a sequence of experimental interaction between A and B. Almost all the correlations between the model and the data were both highly significant and capable of accounting for a substantial proportion of the variance.