Methoden vergleichen
Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.
| Einfaches verblindetes vollständiges faktorielles Experiment× | Doppelblindes vollständiges faktorielles Experiment× | |
|---|---|---|
| Fachgebiet | Versuchsplanung | Versuchsplanung |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century | 1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward |
| Urheber≠ | Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century | Full factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th century |
| Typ≠ | Controlled experimental design | Controlled experimental design with masking |
| Wegweisende Quelle | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| Aliasnamen | single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design | double-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trial |
| Verwandt≠ | 6 | 4 |
| Zusammenfassung≠ | A single-blind full factorial experiment systematically tests every combination of all factor levels while keeping participants unaware of their treatment assignment. This design allows simultaneous estimation of all main effects and all interaction effects between factors, with single-blind masking reducing participant-side biases such as demand characteristics and expectation effects — without requiring investigator blinding. | A double-blind full factorial experiment crosses every level of every independent variable to create all possible treatment combinations, while ensuring that neither participants nor outcome assessors know which condition each participant has been assigned to. This design simultaneously achieves comprehensive examination of main effects and all interactions, and protection against performance and detection bias through blinding — making it especially valuable in clinical, pharmacological, and behavioral research. |
| ScholarGateDatensatz ↗ |
|
|