Experiments, quasi-experiments, and case studies: A review of empirical methods for evaluating decision support systems

By L. Adelman. 1991

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Citations in the corpus

A General Algorithm for Deciding Transportability of Experimental Results (2013, unknown): “[11], representing the intervention doðX 1⁄4 x0Þ.”
Meta-Transportability of Causal Effects: A Formal Approach (2013, background): “…and Olkin, 1985, Owen, 2009), “overgeneralization” (Hofler, Gloster, and Hoyer (2010)), “quasi-experiments” (Shadish, Cook, and Campbell (2002), Ch. 3, Adelman (1991)), “heterogeneity” (Morgan and Winship (2007)), these discussions are limited to verbal narratives in the form of heuristic…”
The Need for Command and Control Instant Message Adaptive Interfaces: Lessons Learned from Tactical Tomahawk Human-in-the-Loop Simulations (2004, background): “One way to strengthen external validity is to represent the operational environment as accurately as possible in an experimental setting (Adelman, 1991).”
An evaluation of multi-criteria methods in integrated assessment of climate policy (2001, background): “In particular, the internal validity of the results may suffer from limitations (e.g., small sample size) that preclude the control for alternate hypotheses (Adelman, 1991).”
Transportability of Causal Effects: Completeness Results (2012, background): “Although the problem has been discussed in many areas of statistics, economics, and the health sciences, under rubrics such as “external validity” [Campbell and Stanley, 1963; Manski, 2007], “meta-analysis” [Glass, 1976; Hedges and Olkin, 1985; Owen, 2009], “heterogeneity” [Hofler, Gloster, and Hoye”