Supplemental Material for Multilevel Modeling of Single-Case Data: A Comparison of Maximum Likelihood and Bayesian Estimation

2017 ◽  
Vol 22 (4) ◽  
pp. 760-778 ◽  
Author(s):  
Mariola Moeyaert ◽  
David Rindskopf ◽  
Patrick Onghena ◽  
Wim Van den Noortgate

2021 ◽  
pp. 001440292110071
Author(s):  
Mikyung Shin ◽  
Jiyeon Park ◽  
Rene Grimes ◽  
Diane P. Bryant

We synthesized studies published since 2000 that assessed the effects of using virtual manipulatives to increase the mathematical accuracy of students with disabilities. We extracted a total of 1,796 raw data points from 114 cases across 35 single-case studies. By applying three-level multilevel modeling, we analyzed both immediate effects and trends during the intervention phase as well as moderation effects related to student characteristics (case level) and intervention features (study level). Both the average immediate effect and trend during the intervention were statistically significant. The average immediate effect varied significantly by student grade, disability type, developer, device, type of virtual manipulative, and visual model embedded in virtual manipulatives. Neither student characteristics nor intervention feature–related moderators significantly influenced the average trend during the use of virtual manipulatives.


2013 ◽  
Vol 38 (4) ◽  
pp. 477-496 ◽  
Author(s):  
Benjamin George Solomon
Keyword(s):  

2016 ◽  
Vol 41 (2) ◽  
pp. 179-228 ◽  
Author(s):  
Rumen Manolov ◽  
Mariola Moeyaert
Keyword(s):  

Author(s):  
Stephen Morley ◽  
Ciara Masterson ◽  
Chris J. Main

Symmetry ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 20 ◽  
Author(s):  
Raúl Gouet ◽  
F. Javier López ◽  
Lina Maldonado ◽  
Gerardo Sanz

We consider the maximum likelihood and Bayesian estimation of parameters and prediction of future records of the Weibull distribution from δ -record data, which consists of records and near-records. We discuss existence, consistency and numerical computation of estimators and predictors. The performance of the proposed methodology is assessed by Montecarlo simulations and the analysis of monthly rainfall series. Our conclusion is that inferences for the Weibull model, based on δ -record data, clearly improve inferences based solely on records. This methodology can be recommended, more so as near-records can be collected along with records, keeping essentially the same experimental design.


2019 ◽  
Vol 88 (4) ◽  
pp. 698-710 ◽  
Author(s):  
Eunkyeng Baek ◽  
S. Natasha Beretvas ◽  
Wim Van den Noortgate ◽  
John M. Ferron

2019 ◽  
Vol 52 (1) ◽  
pp. 177-192 ◽  
Author(s):  
Lies Declercq ◽  
Wilfried Cools ◽  
S. Natasha Beretvas ◽  
Mariola Moeyaert ◽  
John M. Ferron ◽  
...  

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