The randomized marker method for single-case randomization tests: Handling data missing at random and data missing not at random
Single-case experiments are frequently plagued by missing data problems. In a recent study, the randomized marker method was found to be valid and powerful for single-case randomization tests when the missing data were missing completely at random. However, in real-life experiments, it is difficult...
Saved in:
Published in | Behavior research methods Vol. 54; no. 6; pp. 2905 - 2938 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.12.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!