Future researchers can use these simulated distributions to plot the mean P(s) scores of each of their experimental conditions on the overlapping distribution for the corresponding status manipulation. Manipulations that produce scores that fall outside of the range of overlapping values are also likely to create status differences between conditions in other settings or populations.
This research was supported by a National Science Foundation grant (SES-1029741) and was conducted at the Laboratory for Sociological Research at the University of South Carolina. Thank you to David Melamed, Ashley Harrell, and an anonymous reviewer for improving upon this manuscript with your comments.
McLeer, J. (2017), "Measuring the Impact of Status Manipulations Using Monte Carlo Simulations", Advances in Group Processes (Advances in Group Processes, Vol. 34), Emerald Publishing Limited, pp. 103-128. https://doi.org/10.1108/S0882-614520170000034005Download as .RIS
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