New roles of Lagrange multiplier method in generalizability theory: Inference of estimating the optimal sample size for teaching ability evaluation of college teachers

The optimal sample size can be derived carefully using the Lagrange multiplier method under budget constraints in generalizability theory. The Lagrange multiplier method with new roles is worth recommending.

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Journal
PLoS ONE
Published
2024-10-17
DOI
https://doi.org/10.1371/journal.pone.0307710
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
0.00

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article

New roles of Lagrange multiplier method in generalizability theory: Inference of estimating the optimal sample size for teaching ability evaluation of college teachers

Guangming Li
PLoS ONE
Advanced Statistical Methods and Models
article

New roles of Lagrange multiplier method in generalizability theory: Inference of estimating the optimal sample size for teaching ability evaluation of college teachers

Guangming Li
article en

Abstract

The optimal sample size can be derived carefully using the Lagrange multiplier method under budget constraints in generalizability theory. The Lagrange multiplier method with new roles is worth recommending.

PLoS ONEVol. 19(10)
South China Normal University (CN)
Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 82%
Advanced Statistical Methods and Models
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New roles of Lagrange multiplier method in generalizability theory: Inference of estimating the optimal sample size for teaching ability evaluation of college teachers — Guangming Li · PLoS ONE (2024) | TGRS Research Map | TGRS