TY  - CHAP
AB  - The implications and influence of different cognitive map structures on decision-making, reasoning, predictions about future events, affect, and behavior remain poorly understood. To-date, we have not had the mechanisms to determine whether any measure of cognitive map structure picks up anything more than would be detected on a purely random basis. We report a Monte Carlo method of simulation used to empirically estimate parameterized probability outcomes as a means to better understand the behavior of cognitive map. Using worked examples, we demonstrate how the results of our simulation permit the use of exact statistics which can be applied by hand to an individual map or groups of maps, providing maximum utility for the collective and cumulative process of theory building and testing.
VL  - 2
SN  - 978-1-78743-677-0, 978-1-78743-676-3/2397-5210
DO  - 10.1108/S2397-52102017008
UR  - https://doi.org/10.1108/S2397-52102017008
AU  - Clarkson Gail P.
AU  - Kelly Mike A.
ED  - Robert J. Galavan
ED  - Kristian J. Sund
ED  - Gerard P. Hodgkinson
PY  - 2017
Y1  - 2017/01/01
TI  - Quantitative Measures of Cognitive Map Structure: Probability Distributions Derived by Monte Carlo Simulation
T2  - Methodological Challenges and Advances in Managerial and Organizational Cognition
T3  - New Horizons in Managerial and Organizational Cognition
PB  - Emerald Publishing Limited
SP  - 175
EP  - 218
Y2  - 2024/04/23
ER  -