2009
DOI: 10.1142/6878
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Optimal Crossover Designs

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Cited by 44 publications
(25 citation statements)
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“…In order to know the effect of treatment/intervention on the subject condition, there will be a real experimental study using two crossover design. This cross-cutting design provides advantages in controlling biological variables between subjects and the sample requirements are only half the number of parallel design samples [17]- [18].…”
Section: Methodsmentioning
confidence: 99%
“…In order to know the effect of treatment/intervention on the subject condition, there will be a real experimental study using two crossover design. This cross-cutting design provides advantages in controlling biological variables between subjects and the sample requirements are only half the number of parallel design samples [17]- [18].…”
Section: Methodsmentioning
confidence: 99%
“…1 gibt einen Überblick über wichtige Designvarianten, die trotz der Anpassungen aufgrund der weiterhin hohen internen Validität gesicherte Evidenz für die Wirksamkeit liefern. So können die erforderlichen Fallzahlen durch stratifizierte Randomisierung [22], Minimisierungsstudien [23] und adaptive Designs [24], Cross-Over- [25] und N = 1-Studien [26] ohne Einbußen der internen Validität deutlich reduziert werden [27]. Faktorielle Designs [28] erlauben die kombinierte und damit ökonomischere Untersuchung mehrerer Wirkhypothesen.…”
Section: Varianten Des Klassischen Rct-designsunclassified
“…Next, we randomly assigned 19 items to the pre-test and 19 items to the post-test to reduce the carryover effect, i.e. the effect where students remember their answers from the pre-test and benefit from this retained information in the post-test (Bose & Dey, 2009). When analysing the instruments' reliability, we found five items in the pre-test and five items in the post-test that threatened the internal consistency of the instruments (α < 0.60).…”
Section: Historical Contextualization Instrumentmentioning
confidence: 99%