練習階段： 同實驗一。
測驗階段： 在這個部分的實驗中，電腦螢幕上會呈現一個中文字和一條底線。這個中 文字是雙字詞的第一個字 (字幹)。請你利用這個字幹當做線索，來回想在先前實驗中所看到
的詞。例如：「數學」這個詞曾經出現在之前的實驗中。在這個測試階段，螢幕上可能會出現
「數 」做為回想「數學」的線索。但是，不是所有的字幹都能利用先前出現的詞填答。如
果你無法回想 (或確認) 出一個先前出現過的詞，請填寫第一個浮現在腦中、以那個字為首 的雙字詞。每個字幹出現的時間是十五秒，所以你必須在十五秒內把適當的雙字詞寫在紙上。
但是，必須注意的是，你是否可用練習過的詞填答，必須看情況。例如：假設你看到「數
」時能夠回想出之前看過「數學」。能不能填「數學」視螢幕上出現的訊息而定。如果在字
幹出現的同時出現「舊」的提示字，則請你用一個確定為練習詞的詞來填答。如果在字幹出 現的同時出現「新」的提示字，則請你不要填寫練習過的雙字詞，改用其它以「數」字為首
的雙字詞填寫。例如：螢幕上出現「新 數 」時，你不能填「數學」，但你可以填「數量」。
如果你可以回想出先前出現過的雙字詞，但是無法想出另一個以相同字幹開始的雙字詞，可 以不用作答。 (請按空白鍵繼續)
簡而言之，實驗中會出現一些字幹，請你將它做為回想先前實驗中看到的詞的線索。如
果你可以回想出一個之前出現過的字，而且螢幕上出現的提示語為「舊」，你就填寫練習過的
詞；如果出現的提示語為「新」，則不能填寫練習過的詞。你可能會無法回想出一個以前曾經
出現過的詞來完成字幹填充，這是因為有一部分的字幹只能用先前沒學過的詞來回答。當你
沒有辦法確認出一個以前出現過的詞，就不要理會出現的提示語是「新」或是「舊」，填寫第
一個浮現在你腦海的雙字詞就可以了。請你盡可能地完成字幹填充。特別注意，如果出現的
提示語為「舊」，請你用確認的練習詞填寫；如果出現的提示語為「新」，就不要用練習詞填
寫。每個字幹出現十五秒，當你按下空白鍵或是過了十五秒之後，電腦就會出現下一個嘗試 次。
如果沒有問題的話，就請你按空白鍵開始正式的實驗嘗試。 (請按空白鍵繼續)
附件十：答對百分比 1. 平均值：
2. 詳細資料：
愉快性判斷 筆畫數判斷 聯想作業 非練習詞
受試 exclusion inclusion exclusion inclusion exclusion inclusion exclusion inclusion
1 0.222 0.111 0.111 0.167 0.111 0.056 0.019 0.259
附件十一：
*****************************************************************************
* General ANOVA & Trend Analysis Program *
* Vesion 5.0 *
* Hsue_Chich Chen & Chao-Ming Cheng *
* Department of Psychology *
* Catholic FuJen University & National Taiwan University *
* Oct 03 1998 *
*****************************************************************************
General Information
--- Experimental Design : ABS
No. of Variables (Including Ss) : 3 No. of Between-Ss Variables : 0 No. of Within-Ss Variables : 2
Data File Name : exp2.txt
Output Device : exp2_output.txt Within Subject Variable 1 : A
Within Subject Variable 2 : B Subject Variable : S
Levels of A : 4 (愉快性判斷, 筆畫數判斷, 聯想作業, 非練習詞) Levels of B : 2 (exclusion, inclusion)
Levels of S : 36
Significant criterion : 0.050000 No transformation !
---
Cell Means & SD
--- Means of Ai :
A1= 0.124[ 0.102] A2= 0.121[ 0.106]
A3= 0.153[ 0.143] A4= 0.069[ 0.053]
Means of Bj :
B1= 0.057[ 0.057] B2= 0.176[ 0.118]
Means of AiBj :
A1B1= 0.053[ 0.057] A1B2= 0.196[ 0.085]
A2B1= 0.071[ 0.068] A2B2= 0.170[ 0.113]
A3B1= 0.048[ 0.060] A3B2= 0.258[ 0.124]
A4B1= 0.057[ 0.037] A4B2= 0.081[ 0.064]
---
Summary Table of ANOVA
--- Source SS df MS F P
--- S 0.136 35 0.004
A 0.264 3 0.088 16.434 0.0000 AS 0.562 105 0.005
B 1.015 1 1.015 80.391 0.0000 BS 0.442 35 0.013
AB 0.331 3 0.110 15.517 0.0000 ABS 0.748 105 0.007
---
Tukey Test for A.
--- * stand for difference between row-mean & column-mean come up 0.05 significant level.
** stand for difference between row-mean & column-mean come up 0.01 significant level.
MsError = 0.005351 df(MsError) = 105 # of groups = 4 cell in group = 72 q(105,4).05 = 3.695000 q(105,4).01 = 4.522500 C(.05) = 0.031853 C(.01) = 0.038986
Label | A1 A2 A3 A4 Means | 0.124 0.121 0.153 0.069 --- A1 | **
A2 | **
A3 | * **
A4 |
---
Trend Analysis for A.
Simple Simple-Main and Interaction Effects of AB.
--- Source SS df MS F P --- Error for B[A(i)] 1.190 140 0.008
B[A(1)] 0.370 1 0.370 43.500 0.0000 B[A(2)] 0.176 1 0.176 20.656 0.0000 B[A(3)] 0.792 1 0.792 93.190 0.0000 B[A(4)] 0.010 1 0.010 1.140 0.2879 Error for A[B(j)] 1.309 210 0.006
A[B(1)] 0.011 3 0.004 0.577 0.6307 A[B(2)] 0.584 3 0.195 31.243 0.0000 ---
Tukey Test for A[B(2)].
--- * stand for difference between row-mean & column-mean come up 0.05 significant level.
** stand for difference between row-mean & column-mean come up 0.01 significant level.
MsError = 0.006236 df(MsError) = 210 # of groups = 4 cell in group = 36 q(210,4).05 = 3.630000 q(210,4).01 = 4.400000 C(.05) = 0.047774 C(.01) = 0.057908
Label | A1B2 A2B2 A3B2 A4B2 Means | 0.196 0.170 0.258 0.081 --- A1B2 | **
A2B2 | **
A3B2 | ** ** **
A4B2 |
---
Tukey Test for A[B(2)].
--- Condition 1 : Value=1.000000 Mean=0.195972
Condition 2 : Value=2.000000 Mean=0.169889 Condition 3 : Value=3.000000 Mean=0.257722 Condition 4 : Value=4.000000 Mean=0.080500
Linear Contrast:
C[1]= -1.50000 C[2]= -0.50000 C[3]= 0.50000 C[4]= 1.50000 Quadratic Contrast:
C[1]= 1.00000 C[2]= -1.00000 C[3]= -1.00000 C[4]= 1.00000 Cubic Contrast:
C[1]= -0.30000
Trend Analysis ANOVA Summary Table
--- Source SS df MS F P
--- Linear Trend 0.120 1 0.120 19.302 0.0000 Quadratic Trend 0.206 1 0.206 32.970 0.0000 Cubic Trend 0.259 1 0.259 41.458 0.0000 ErrTerm 1.309 210 0.006
---
---
附件十二：
附件十三：
*****************************************************************************
* General ANOVA & Trend Analysis Program *
* Vesion 5.0 *
* Hsue_Chich Chen & Chao-Ming Cheng *
* Department of Psychology *
* Catholic FuJen University & National Taiwan University *
* Oct 03 1998 *
*****************************************************************************
General Information
--- Experimental Design : ABS
No. of Variables (Including Ss) : 3 No. of Between-Ss Variables : 0 No. of Within-Ss Variables : 2
Data File Name : exp2ra.txt Output Device : exp2ra_o.txt Within Subject Variable 1 : A
Within Subject Variable 2 : B Subject Variable : S
Levels of A : 3 (愉快性判斷, 筆畫數判斷, 聯想作業) Levels of B : 2 (estimate of R, estimate of A) Levels of S : 36
Significant criterion : 0.050000 No transformation !
---
Cell Means & SD
--- Means of Ai :
A1= 0.110[ 0.109] A2= 0.086[ 0.116]
A3= 0.131[ 0.144]
Means of Bj :
B1= 0.151[ 0.149] B2= 0.067[ 0.076]
Means of AiBj :
A1B1= 0.144[ 0.114] A1B2= 0.076[ 0.094]
A2B1= 0.099[ 0.149] A2B2= 0.072[ 0.066]
A3B1= 0.210[ 0.158] A3B2= 0.053[ 0.063]
---
Summary Table of ANOVA
--- Source SS df MS F P
--- S 0.363 35 0.010
A 0.075 2 0.038 7.075 0.0016 AS 0.372 70 0.005
B 0.380 1 0.380 11.071 0.0021 BS 1.201 35 0.034
AB 0.161 2 0.080 6.682 0.0022 ABS 0.843 70 0.012
---
Tukey Test for A.
--- * stand for difference between row-mean & column-mean come up 0.05 significant level.
** stand for difference between row-mean & column-mean come up 0.01 significant level.
MsError = 0.005318 df(MsError) = 70
# of groups = 3 cell in group = 72 q(70,3).05 = 3.393333 q(70,3).01 = 4.266667 C(.05) = 0.029164 C(.01) = 0.036670
Label | A1 A2 A3 Means | 0.110 0.086 0.131 --- A1 | A2 | A3 | **
---
Trend Analysis for A.
--- Condition 1 : Value=1.000000 Mean=0.109708
Condition 2 : Value=2.000000 Mean=0.085514 Condition 3 : Value=3.000000 Mean=0.131208
Linear Contrast:
C[1]= -1.00000 C[2]= 0.00000 C[3]= 1.00000 Quadratic Contrast:
C[1]= 0.33333 C[2]= -0.66667 C[3]= 0.33333
Trend Analysis ANOVA Summary Table
--- Source SS df MS F P
--- Linear Trend 0.017 1 0.017 3.129 0.0805 Quadratic Trend 0.059 1 0.059 11.021 0.0014 ErrTerm 0.372 70 0.005
---
---
Simple Simple-Main and Interaction Effects of AB.
--- Source SS df MS F P --- Error for B[A(i)] 2.043 105 0.019
B[A(1)] 0.083 1 0.083 4.260 0.0413 B[A(2)] 0.013 1 0.013 0.648 0.4226 B[A(3)] 0.445 1 0.445 22.874 0.0000 Error for A[B(j)] 1.215 140 0.009
A[B(1)] 0.225 2 0.112 12.956 0.0000 A[B(2)] 0.011 2 0.006 0.649 0.5245 ---
Tukey Test for A[B(1)].
--- * stand for difference between row-mean & column-mean come up 0.05 significant level.
** stand for difference between row-mean & column-mean come up 0.01 significant level.
MsError = 0.008677 df(MsError) = 140 # of groups = 3 cell in group = 36 q(140,3).05 = 3.360000 q(140,3).01 = 4.200000 C(.05) = 0.052165 C(.01) = 0.065206
Label | A1B1 A2B1 A3B1 Means | 0.144 0.099 0.210 --- A1B1 | A2B1 | A3B1 | ** **
---
Tukey Test for A[B(1)].
--- Condition 1 : Value=1.000000 Mean=0.143639
Condition 2 : Value=2.000000 Mean=0.098750 Condition 3 : Value=3.000000 Mean=0.209833
Linear Contrast:
C[1]= -1.00000 C[2]= 0.00000 C[3]= 1.00000 Quadratic Contrast:
C[1]= 0.33333 C[2]= -0.66667 C[3]= 0.33333
Trend Analysis ANOVA Summary Table
--- Source SS df MS F P
--- Linear Trend 0.079 1 0.079 9.089 0.0031 Quadratic Trend 0.146 1 0.146 16.822 0.0001 ErrTerm 1.215 140 0.009
---
---
附件十四：