The Not-So-Quiet Revolution: Cautionary Comments on the Rejection of Hypothesis Testing in Favor of a “Causal” Modeling Alternative
Robinson, Daniel H.
Levin, Joel R.
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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.