Application of hierarchical linear modeling to test data
Project/Area Number |
22730506
|
Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Educational psychology
|
Research Institution | Niigata University |
Principal Investigator |
|
Project Period (FY) |
2010 – 2012
|
Project Status |
Completed (Fiscal Year 2012)
|
Budget Amount *help |
¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
|
Keywords | テストデータ / 階層線形モデル / 信頼性 / 検定力 / 信頼性係数 / メタ分析 / 階層的線形モデル |
Research Abstract |
Methodologies for analyzing hierarchically structured test datawere investigated. Two simulation studies showed that either log or cubic roottransformation performs better than other transformations in reliability generalizationstudies which adopt hierarchical linear modeling, and that hierarchical linear modeling isas powerful as latent growth modeling in the case of comparison between growth rates oftwo groups.
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Report
(4 results)
Research Products
(4 results)