Development of semiparmetric trajectory analysis and software fore developmental data analysis
| Project/Area Number |
22830085
|
|---|
| Research Category |
Grant-in-Aid for Research Activity Start-up
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Educational psychology
|
|---|
| Research Institution | Senshu University |
|---|
Principal Investigator |
OKADA Kensuke 専修大学, 人間科学部, 講師 (20583793)
|
|---|
| Project Period (FY) |
2010 – 2011
|
| Project Status |
Completed (Fiscal Year 2011)
|
| Budget Amount *help |
¥2,938,000 (Direct Cost: ¥2,260,000、Indirect Cost: ¥678,000)
Fiscal Year 2011: ¥1,482,000 (Direct Cost: ¥1,140,000、Indirect Cost: ¥342,000)
Fiscal Year 2010: ¥1,456,000 (Direct Cost: ¥1,120,000、Indirect Cost: ¥336,000)
|
|---|
| Keywords | セミパラメリックモデル / 信頼性 / 発達データ / 発達心理学 / 軌跡分析 / 階層モデル / ベイズ推定 / 多次元尺度構成法 |
|---|
| Research Abstract |
There have been many large-scale longitudinal studies of human development recently. Trajectory analysis is one of the most frequently used statistical technique in the analysis of longitudinal data in developmental psychology. In this study, extensions of trajectory analysis is proposed to statistically deal with hierarchical, latent, and asymmetric structure within such longitudinal dataset. Software programs implementing the proposed approach has also been developed and released.
|
Report
(3 results)
Research Products
(21 results)
