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...

Full description

Saved in:
Bibliographic Details
Published inBehavior research methods Vol. 54; no. 6; pp. 2905 - 2938
Main Authors De, Tamal Kumar, Onghena, Patrick
Format Journal Article
LanguageEnglish
Published New York Springer US 01.12.2022
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…