ABSTRACT
Measurement plays an important role in intervention research. It also takes many forms. Sometimes, it involves simple counting. For example, knowing the number of participants in a study is useful in evaluating the con$dence that can be placed in the results. More frequently, measurement in treatment research is complex. For example, assessing the $delity of intervention implementation or quantifying how much participants improved as a result of the treatment both require the operationalization and scaling of complex, multidimensional constructs.
