The Not-So-Quiet Revolution: Cautionary Comments on the Rejection of Hypothesis Testing in Favor of a “Causal” Modeling Alternative

Authors

Daniel H. Robinson, University of TexasFollow
Joel R. Levin, University of ArizonaFollow

Abstract

Rodgers (2010) recently applauded a revolution involving the increased use of statistical modeling techniques. It is argued that such use may have a downside, citing empirical evidence in educational psychology that modeling techniques are often applied in cross-sectional, correlational studies to produce unjustified causal conclusions and prescriptive statements.

DOI

10.22237/jmasm/1288584060