The current method of hypothesis testing in the social sciences is under in
tense criticism, yet most political scientists are unaware of the important
issues being raised. Criticisms focus on the construction and interpretati
on of a procedure that has dominated the reporting of empirical results for
over fifty years. There is evidence that null hypothesis significance rest
ing as practiced in political science is deeply flawed and widely misunders
tood. This is important since most empirical work argues the value of findi
ngs through the use of the null hypothesis significance test. In this artic
le I review the history of the null hypothesis significance testing paradig
m in the social sciences and discuss major problems, some of which are logi
cal inconsistencies while others are more interpretive in nature. I suggest
alternative techniques to convey effectively the importance of data-analyt
ic findings. These recommendations are illustrated with examples using empi
rical political science publications.