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。只要你對想到的詞感到熟悉或是覺得這個詞好像在之前出現過，你就可以把這個詞寫
在答案卷上。例如：當螢幕上會出現「數 」，而你覺得「數學」這個詞很熟悉，就可以把「數
學」寫在答案卷上。但是，不是所有的字幹都能讓你想到一個熟悉的雙字詞。如果你無法想 到一個熟悉的雙字詞，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，你是否可用覺得熟悉的詞填答，必須看情況。例如：假設你看到
「數 」時，可以想到讓你感覺熟悉的「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」的題示字，則請你填寫覺得熟悉 (覺得是練習詞) 的雙字 詞。如果在字幹出現的同時出現「新」的提示字，則請你不要填寫覺得熟悉的雙字詞，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，你覺得「數學」很
熟悉，則你不能填「數學」，但你可以填「數量」。如果你可以想到覺得熟悉的雙字詞，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
果你可以想出一個覺得熟悉的詞，而且螢幕上出現的提示語為「舊」，你就填寫你覺得熟悉的
詞；如果出現的提示語為「新」，則不能填寫覺得熟悉的詞。你可能會無法想出一個覺得熟悉
的詞完成字幹填充，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
想出一個覺得熟悉的詞，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」，
附件十五：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 0.06 0.17 0.06 0.17 0.06 0.28 0.04 0.04
附件十六：
*****************************************************************************
* 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 : exp3.txt
Output Device : exp3_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= 0.130[ 0.116] A2= 0.120[ 0.097]
A3= 0.146[ 0.127] A4= 0.069[ 0.036]
Means of Bj :
B1= 0.057[ 0.056] B2= 0.175[ 0.109]
Means of AiBj :
A1B1= 0.043[ 0.056] A1B2= 0.216[ 0.094]
A2B1= 0.073[ 0.061] A2B2= 0.168[ 0.102]
A3B1= 0.050[ 0.064] A3B2= 0.242[ 0.099]
A4B1= 0.064[ 0.033] A4B2= 0.073[ 0.039]
---
Summary Table of ANOVA
--- Source SS df MS F P
--- S 0.222 35 0.006
A 0.240 3 0.080 19.136 0.0000 AS 0.439 105 0.004
B 0.994 1 0.994 89.671 0.0000 BS 0.388 35 0.011
AB 0.378 3 0.126 27.498 0.0000 ABS 0.481 105 0.005
---
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 = 0.004178 df(MsError) = 105 # of groups = 4 cell in group = 72 q(105,4).05 = 3.695000 q(105,4).01 = 4.522500 C(.05) = 0.028147 C(.01) = 0.034451
Label | A1 A2 A3 A4 Means | 0.130 0.120 0.146 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)] 0.869 140 0.006
B[A(1)] 0.537 1 0.537 86.490 0.0000 B[A(2)] 0.165 1 0.165 26.525 0.0000 B[A(3)] 0.669 1 0.669 107.738 0.0000 B[A(4)] 0.001 1 0.001 0.225 0.6362 Error for A[B(j)] 0.920 210 0.004
A[B(1)] 0.019 3 0.006 1.480 0.2550 A[B(2)] 0.599 3 0.200 45.542 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 = 0.004382 df(MsError) = 210 # of groups = 4 cell in group = 36 q(210,4).05 = 3.630000 q(210,4).01 = 4.400000 C(.05) = 0.040048 C(.01) = 0.048542
Label | A1B2 A2B2 A3B2 A4B2
Trend Analysis ANOVA Summary Table
--- Source SS df MS F P
--- Linear Trend 0.227 1 0.227 51.698 0.0000 Quadratic Trend 0.132 1 0.132 30.225 0.0000 Cubic Trend 0.240 1 0.240 54.704 0.0000 ErrTerm 0.920 210 0.004
---
---
附件十七：
附件十八：
*****************************************************************************
* 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 : exp3ra.txt Output Device : exp3ra_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[ 0.115] A2= 0.086[ 0.096]
A3= 0.124[ 0.121]
Means of Bj :
B1= 0.154[ 0.131] B2= 0.060[ 0.062]
Means of AiBj :
A1B1= 0.173[ 0.124] A1B2= 0.047[ 0.055]
A2B1= 0.096[ 0.121] A2B2= 0.077[ 0.061]
A3B1= 0.193[ 0.126] A3B2= 0.056[ 0.065]
---
Summary Table of ANOVA
--- Source SS df MS F P
--- S 0.298 35 0.009
A 0.053 2 0.027 6.194 0.0033 AS 0.300 70 0.004
B 0.476 1 0.476 17.482 0.0002 BS 0.954 35 0.027
AB 0.153 2 0.077 10.724 0.0001 ABS 0.501 70 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 = 0.004290 df(MsError) = 70
# of groups = 3 cell in group = 72 q(70,3).05 = 3.393333 q(70,3).01 = 4.266667 C(.05) = 0.026194 C(.01) = 0.032935
Label | A1 A2 A3 Means | 0.110 0.086 0.124 --- A1 | A2 | A3 | **
---
Trend Analysis for A.
--- Condition 1 : Value=1.000000 Mean=0.109875
Condition 2 : Value=2.000000 Mean=0.086347 Condition 3 : Value=3.000000 Mean=0.124417
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 0.008 1 0.008 1.774 0.1899 Quadratic Trend 0.046 1 0.046 10.613 0.0017 ErrTerm 0.300 70 0.004
---
---
Simple Simple-Main and Interaction Effects of AB.
--- Source SS df MS F P --- Error for B[A(i)] 1.454 105 0.014
B[A(1)] 0.286 1 0.286 20.657 0.0000 B[A(2)] 0.006 1 0.006 0.460 0.4993 B[A(3)] 0.337 1 0.337 24.350 0.0000 Error for A[B(j)] 0.801 140 0.006
A[B(1)] 0.189 2 0.095 16.551 0.0000 A[B(2)] 0.017 2 0.009 1.500 0.2380 ---
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 = 0.005722 df(MsError) = 140 # of groups = 3 cell in group = 36 q(140,3).05 = 3.360000 q(140,3).01 = 4.200000 C(.05) = 0.042359 C(.01) = 0.052949
Label | A1B1 A2B1 A3B1 Means | 0.173 0.096 0.193 --- A1B1 | **
A2B1 | A3B1 | **
---
Tukey Test for A[B(1)].
--- Condition 1 : Value=1.000000 Mean=0.172917
Condition 2 : Value=2.000000 Mean=0.095750 Condition 3 : Value=3.000000 Mean=0.192861
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 0.007 1 0.007 1.251 0.2658 Quadratic Trend 0.182 1 0.182 31.851 0.0000 ErrTerm 0.801 140 0.006
---
---
附件十九：