On imputation for planned missing data in context questionnaires using plausible values: a comparison of three designs
Abstract Background This paper extends a recent study by Kaplan and Su (J Educ Behav Stat 41: 51–80, 2016) examining the problem of matrix sampling of context questionnaire scales with respect to the generation of plausible values of cognitive outcomes in large-scale assessments. Methods Following W...
Main Authors: | David Kaplan, Dan Su |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-06-01
|
Series: | Large-scale Assessments in Education |
Online Access: | http://link.springer.com/article/10.1186/s40536-018-0059-9 |
Similar Items
-
Tensor factorization for missing data imputation in medical questionnaires
by: Dauwels, Justin, et al.
Published: (2013) -
Imputation of missing values in breast cancer data
by: Rajagopal, Tejas R.
Published: (2024) -
Missing value imputation for diabetes prediction
by: Luo, Fei, et al.
Published: (2023) -
Missing value imputation for epistatic MAPs
by: Cagney Gerard, et al.
Published: (2010-04-01) -
A comparison of various imputation methods for missing
values in air quality data
by: Nuryazmin Ahmat Zainuri,, et al.
Published: (2015)