Although scientists from various disciplines stress the importance of estim
ating random measurement error; these discussions have little effect on exp
erimenters who do behavioral sociological research. There have been two imp
ortant results: (i) many experimenters continue to adopt a laissez-faire ap
proach to measurement error, and (ii) there are very few discussions that i
llustrate its practical importance in laboratory research. In this article
I examine the role of abstract measurement theory in modern experimental so
ciology giving particular emphasis to the improvement of data analysis and
theory building I detail the cause and effect of random measurement error i
n the laboratory and review how the reliability of behavioral data is estim
ated and interpreted. Discussed are issues of statistical pointer, Type I a
nd Type II errors, internal and external validity, and the prospects for cu
mulative theory.