查詢結果分析
來源資料
相關文獻
- 潛在成長曲線模式之選模指標比較及影響選模表現因子之探究
- 行銷特殊化資產與信譽障礙對臺灣跨國企業國際市場進入模式選擇之影響
- 兩岸未來政治模式選擇之初步研析
- Robustness Aspects of Model Choice
- 世代分析:教育部體適能政策推展績效之追蹤評估
- 那些人適合選擇腹膜透析治療
- 評K. J. Preacher et al., «Latent Growth Curve Modeling»(《潛在成長曲線模式》)(Thousand Oaks, CA: Sage, 2008)
- 探究青少年憂鬱與偏差行為的歷時性的影響關係
- Entrepreneurial Spin-Off Entry: The Perspective of Mode Choice
- 出院準備服務 : 出院後不同照護模式的選擇、再入院率、死亡率的分析
頁籤選單縮合
題 名 | 潛在成長曲線模式之選模指標比較及影響選模表現因子之探究=Performance Comparison of Model Selection Indices and Influential Factors in Model Selection for Latent Growth Curve Models |
---|---|
作 者 | 林定香; 翁士傑; | 書刊名 | 統計與資訊評論 |
卷 期 | 9 2007.11[民96.11] |
頁 次 | 頁103-129 |
分類號 | 511.2 |
關鍵詞 | 潛在成長曲線模式; 模式選擇; 小樣本統計量; 訊息指標; Latent growth curve modeling; Model selection; Small sample statistics; Information criteria; |
語 文 | 中文(Chinese) |
中文摘要 | 潛在成長曲線模式常應用於縱貫資料,用以分析重複測量變數在觀測個體的起始狀態與觀測期間的成長率或衰退率的變化情形。本文旨在比較潛在成長曲線模式於不同的研究條件下,選模指標的統計檢定力及探討影響選模指標表現的因子。本文探究專為小樣本設計的統計量及訊息指標。由模擬結果發現,影響選模檢定力的主要因子為樣本數、截距與斜率的共變異數、及重覆測量的次數。就檢定力而言,整體上BIC選模的表現最好,其次為T□,接著依序為T□、T□、T₂*及AIC,而adjusted-BIC的表現最差。 |
英文摘要 | Latent Growth Curve Modeling (LGCM) is often used to analyze the change or trend of repeated measures in longitudinal data. The objective of this study is to investigate the statistical power of model selection indices in Latent Growth Curve Modeling under different research settings. We studied several model selection indices specially developed for small sample sizes and compared their statistical power with information criteria. The results of the simulation indicated that the most influential factors are sample sizes, covariance of intercepts and slopes, and number of repeated measures of the observed variables. In terms of statistical power in model selection, overall, BIC has the best power, followed by T□, T□、T□、T₂* and AIC, while adjusted-BIC has the worst performance. |
本系統中英文摘要資訊取自各篇刊載內容。