2009 OB Workshop: Structural Equation Modeling. Changya Hu, Ph.D. NCCU 2009/07/ /07/03

Transcription

1 Amos Introduction 2009 OB Workshop: Structural Equation Modeling Changya Hu, Ph.D. NCCU 2009/07/02-

2 2 Contents Amos Basic Functions Observed Variable Path Analysis Confirmatory Factor Analysis Full Model Something about Amos

3 3 Amos Basic Functions Amos is short for Analysis of MOment Structures Amos Graphics Student version of Amos 5.0 (FREE) Limitation: only 8 variables & 54 parameters

4 4 Amos Basic Functions 左 Input 右 Output Starting Amos Graphics 組數 繪圖區 工具列 範例檔

5 5 Amos Basic Functions Observed Variables Paths & Covariances Unobserved Variables Add an unique variable 重覆點擊可以改變方向 Latent Variables & add indicators 重覆點擊即可增加

6 6 Amos Basic Functions Variables in Model Variables in Dataset Figure Caption 點擊右鍵可編輯 Properties

7 7 Amos Basic Functions Select one object / Select all objects / Deselect objects Duplicate objects / Move objects / Erase objects Change the shape of objects / Rotate the indicators of a latent variable (90 ) / Reflect the indicators of a latent variable (180 ) Move parameter values / Reposition the path diagram on the screen / Touch up a variable

8 8 Amos Basic Functions Select data files / Analysis properties / Calculate estimates Copy to clipboard / View text / Save Object properties / Drag properties from object to object / Preserve symmetries Zoom in on an area you select / View a smaller area of the path diagram / View a larger area of the path diagram /

9 9 Amos Basic Functions Show the entire page on the screen / Resize the path diagram to fit on the page / Examine the path diagram with the loupe Bayesian / Multiple group analysis / Print Undo the previous change / Undo the previous undo / Specification search

10 10 Observed Variable Path Analysis Self-esteem Depression Impulsiveness

11 11 Observed Variable Path Analysis Attaching the data File Data Files File Name

12 12 Observed Variable Path Analysis

13 13 Observed Variable Path Analysis 直接將觀察變項拖曳至圖形中並在圖形上按右鍵編輯 object properties 潛在變項都必須自行命名! 利用 parameters 可以改變 mean & variance

14 14 Observed Variable Path Analysis 可利用此功能一次命名所有潛在變項

15 15 Observed Variable Path Analysis Analysis properties When you have missing data! Maximum likelihood estimation with missing values works only when you estimate means and intercepts, so you have to estimate them even if you are not interested in the estimates.

16 16 Observed Variable Path Analysis 收斂狀況標準化路徑 R squared 樣本共變數矩陣模式共變數矩陣所有變數殘差 間接 直接 總效果因素分數權重參數共變數參數相關差異臨界值常態性與極端值檢驗觀察值矩陣 修正指標

17 17 Observed Variable Path Analysis 分析後可以馬上獲得較重要訊息

18 18 Observed Variable Path Analysis Unstandardized estimates

19 19 Observed Variable Path Analysis Standardized estimates

20 20 Observed Variable Path Analysis

21 21 Observed Variable Path Analysis

22 22 Observed Variable Path Analysis

23 23 Observed Variable Path Analysis

24 24 Observed Variable Path Analysis

25 25 Observed Variable Path Analysis

26 26 Observed Variable Path Analysis

27 27 Observed Variable Path Analysis

28 28 Observed Variable Path Analysis

29 29 Observed Variable Path Analysis

30 30 Observed Variable Path Analysis

31 31 Observed Variable Path Analysis

32 32 Observed Variable Path Analysis

33 33 How to get SRMR in AMOS SRMR in AMOS Select Plugins Standardized RMR Bring up the dialog and leave it open Select Analyze Calculate Estimates The Standardized RMR dialog will display SRMR in the previously blank dialog box. The Standardized RMR cannot be defined when some data values are missing.

34 34 Confirmatory Factor Analysis 預設每個構念中第一個變項的負荷量為 1

35 35 Confirmatory Factor Analysis

36 36 Confirmatory Factor Analysis

37 37 Confirmatory Factor Analysis

38 38 Confirmatory Factor Analysis

39 39 Confirmatory Factor Analysis

40 40 Confirmatory Factor Analysis

41 41 Confirmatory Factor Analysis

42 42 Confirmatory Factor Analysis

43 43 Confirmatory Factor Analysis

44 44 How to constraint constraint 前先將路徑命名再選擇 Analysis Manage Models

45 45 How to constraint

46 46 How to constraint 與 p.34 的結果比較 delta Chi-square 差異達顯著顯示兩者的確是不同的

47 47 Full Model

48 48 Full Model

49 49 Full Model

50 50 Full Model

51 51 Full Model

52 52 Full Model

53 53 Something about Amos Amos has no data management capability, you need to use SPSS or PRELIS to manage your missing data before run your model with Amos. You can use the PrelisToAmos.exe to convert PRELIS data so that it can be used for Amos Amos do not give you SRMR values, you need to request it. You need to manually name all your latent variables (Ksi, Eta, Psi, delta, and epsilon)

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