Premium
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom