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題名 | Applications of Unbalanced Repeated Measures Models to Stress Related Data=不完全資料重複測量模式之應用 |
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作者 | 伍珮瑄; | 書刊名 | 美和專校學報 |
卷期 | 16 1998.06[民87.06] |
頁次 | 頁55-70 |
分類號 | 564 |
關鍵詞 | 重複測量設計; 重疊對稱; Repeated measures designs; Compound symmetry; |
語文 | 英文(English) |
中文摘要 | 本文在探討不完全資料重複測量模式之應用。重複測量設計( repeated measures designs )是利用相同的被實驗者來做重複的測量,此種設計有兩個優點, 一是 它能將來自受測者間所有的變異從實驗誤差中去除,因此可以精確地比較處理間的變異。另 一個優點是它只需較少的受測者,所以較經濟。然而重複測量設計也有嚴重的缺點,例如實 驗處理的順序所產生的干擾( order effect interference )、 處理間滯留效果所帶來的 干擾( carry-over effect interference )。本文擬就重複測量實驗設計及相關模式簡介 、 不完全資料重複測量模式之應用加以探討, 同時建議使用 SAS 之 PROC MIXED 或 BMDP 之 5V program 來分析當重複測量有缺失值時的資料。 |
英文摘要 | This paper is to explore the application of unbalanced (incomplete data) repeated measures models. Repeated measures designs utilize the same subject (person, house-hold, store, test market, etc.) for each of the treatments under study. A principal advantage of repeated measures designs is that they provide good precision for comparing treatments because all sources of variability between subjects are excluded from the experimental error. Another advantage is that they economize on subjects. However, repeated measures designs have a serious potential disadvantage that there may be several types of interference. One type of interference is an order effect; the other type is called carryover effect. The contents of this paper are as follows: first, an introduction of repeated measures designs and models--including those with unequal variances, covariance matrices of a specified pattern, and time-varying covariates, Second, the application of unbalanced repeated measures models are demonstrated by analyzing stress related data. Third, some conclusions about this study are given. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。