Application of hierarchical linear modeling to test data

Research Project

Project/Area Number	22730506
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Single-year Grants
Research Field	Educational psychology
Research Institution	Niigata University
Principal Investigator	SUGISAWA Taketoshi 新潟大学, 人文社会・教育科学系, 准教授 (30361603)
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.

Report

(4 results)