@article{drewes_2009, title={Subject-Centered Scalability: The Sine Qua Non of Summated Ratings}, volume={14}, ISSN={["1939-1463"]}, DOI={10.1037/a0016621}, abstractNote={A unifying theory of subject-centered scalability is offered that is grounded in structural true score modeling, is conceptually distinct from internal consistency and homogeneity as determined by item correlations, and is empirically confirmable. Scalability holds when item true scores are perfectly correlated but differ in their individual scale metric. The condition of scalability imposes constraints that allow individual item reliability to be estimated independently of scalability. Scalability is shown to imply unit rank and to be testable by a single-factor confirmatory factor analysis reinterpreted as a test of unit rank. High item correlations are shown, contrary to intuition, to be an insufficient condition for scalability. Conversely, low item correlations do not necessarily imply lack of scalability. A stepped decision-oriented procedure is offered as a guideline in summated rating scale construction.}, number={3}, journal={PSYCHOLOGICAL METHODS}, author={Drewes, Donald W.}, year={2009}, month={Sep}, pages={258–274} }
 @article{drewes_2000, title={Beyond the Spearman-Brown: A structural approach to maximal reliability}, volume={5}, ISSN={["1939-1463"]}, DOI={10.1037//1082-989X.5.2.214}, abstractNote={The requirement of parallel parts has long been the cornerstone of classic reliability theory. By recasting reliability in a structural equation framework, items, raters, or judges no longer need to be treated as equivalent entities. Instead, unique reliability estimates can be determined for each and collectively used to assess the maximal reliability of a weighted composite, with the composite reliability submitted to inferential test. Procedures are shown to generalize from single to multifactor applications. Ramifications of a structural approach to reliability determination are probed, and the dilemma posed by possible falsification of the true score hypothesis presented for individual researcher consideration.}, number={2}, journal={PSYCHOLOGICAL METHODS}, author={Drewes, DW}, year={2000}, month={Jun}, pages={214–227} }