自变量
图片：16张
呈现时间：2种，2秒和0.2秒
处理类型：2种，处理前和处理后
因变量
8个量表项目的评分（1~7）
实验设计
图片和量表项目为完全被试内设计。由于每张图片不可以被被试看两次，因此，呈现时间和处理类型为不完全被试内设计
下面表格展示了被试可能碰到的4种情况的图片序列。
| 图片编号 | 1~4 | 5~8 | 9~12 | 13~16 |
| S1 | 处理过，0.2s | 未处理，2s | 处理过，2s | 未处理，0.2s |
| S2 | 未处理，2s | 处理过，2s | 未处理，0.2s | 处理过，0.2s |
| S3 | 处理过，2s | 未处理，0.2s | 处理过，0.2s | 未处理，2s |
| S4 | 未处理，0.2s | 处理过，0.2s | 未处理，2s | 处理过，2s |
需要记录的结果
被试ID、参加实验组别（1~4）、实验序号、呈现图片、是否处理、呈现时间、项目评分
程序思路
根据实验选取的组别，把图片与呈现时间、是否处理进行绑定，生成Stim实例，然后打乱示例顺序，分别呈现，最后储存数据。
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 19 16:50:21 2015
@author: zbg
"""
from psychopy.visual import Window, ImageStim, TextStim
from psychopy import core, event, gui
import random
#================在这里设置各种基本参数==================
picNames=[‘1.png‘, ‘2.png‘, ‘3.png‘, ‘4.png‘, ‘5.png‘, ‘6.png‘, ‘7.png‘,
‘8.png‘, ‘9.png‘, ‘10.png‘, ‘11.png‘, ‘12.png‘, ‘13.png‘, ‘14.png‘,
‘15.png‘, ‘16.png‘]
processTypes = [‘initial\\‘, ‘processed\\‘]
times = [0.2, 2]
scales = [
(‘Meaningful1‘, u"我能理解这幅画的意义"),
(‘Meaningful2‘, u"我能理解这幅画的主题"),
(‘Unity‘, u"这幅画的构图是和谐统一的"),
(‘Complexity‘, u"这幅画的构图是复杂的"),
(‘Variety‘, u"这幅画构图是多样的"),
(‘Liking‘, u"我喜欢这幅画"),
(‘Pleasing‘, u"这幅画使我感到愉悦"),
(‘Interesting‘, u"这幅画能引起我的兴趣。"),
]
timeCursor = 0.25
#====================其他生成变量
stims = []
results = []
‘‘‘
results = [(stim, result), ...]
result = {label: 2; ...}
‘‘‘
trailOrder = range(16)
random.shuffle(trailOrder)
#================绑定相关
if len(picNames) != 16:
raise ‘error‘
bindTypes = []
for i in range(4):
bindTypes.append([processTypes[i%2], times[i/2]])
class Stim:
def __init__(self, name, bindType):
global bindTypes
self.process = bindTypes[bindType][0]
self.time = bindTypes[bindType][1]
self.name = name
def __repr__(self):
return self.process + ‘\t‘ + self.name + ‘\t‘ + str(self.time) + ‘\n‘
#=================程序使用的各种函数===================
def GetSubject():
myDlg = gui.Dlg(title="Subject Information")
myDlg.addText("-------------Subject-----------")
myDlg.addField(‘ID:‘)
myDlg.addField(‘Type:‘, choices=[1, 2, 3, 4])
myDlg.show()
if myDlg.OK:
thisInfo = myDlg.data
else:
exit(0)
subject={}
subject[‘ID‘]=thisInfo[0]
subject[‘Type‘]=thisInfo[1]
return subject
def PicBind(t):
global stims, picNames
for i in range(4):
for j in range(4):
index = i * 4 + j
stim = Stim(picNames[index], (t + i - 1) % 4)
stims.append(stim)
def ShowIntro(win):
introduce =u"""
啦啦啦啦啦啦啦啦啦啦
啦啦啦啦啦啦啦
按[空格键]继续
"""
t =TextStim(win, introduce ,pos=(0,-0.0))
t.draw()
win.flip()
keys=[]
while ‘space‘ not in keys:
keys=event.getKeys()
def ShowStim(win, stim):
global timeCursor
t =TextStim(win, ‘+‘ ,pos=(0,-0.0))
t.draw()
win.flip()
core.wait(timeCursor)
image = ImageStim(win, stim.process + stim.name)
image.draw()
win.flip()
core.wait(stim.time)
def ShowScale(text):
def GetMyKey():
keys=[]
while True:
while len(keys) == 0:
core.wait(0.1)
keys=event.getKeys()
if keys[0] in [‘1‘, ‘2‘, ‘3‘, ‘4‘, ‘5‘, ‘6‘, ‘7‘]:
return keys[0]
if ‘m‘ in keys:
exit(0)
keys = []
t =TextStim(win, text ,pos=(0,-0.0))
t.draw()
t =TextStim(win, u‘1不同意------------------------------7非常同意‘,pos=(0,-0.2))
t.draw()
win.flip()
key = GetMyKey()
t =TextStim(win, u‘你按下了‘ + key,pos=(0,-0.2),color = (0 ,1.,0))
t.draw()
win.flip()
core.wait(0.1)
return key
#=================程序开始的地方========================
sub = GetSubject()
PicBind(int(sub[‘Type‘]))
win = Window()
ShowIntro(win)
for trail in trailOrder:
#呈现图画
stim = stims[trail]
ShowStim(win, stim)
#收集量表数据
event.getKeys() #清空键盘缓存3
result = {}
for label, text in scales:
key = ShowScale(text)
result[label] = key
#把图画属性和量表数据存起来
results.append((stim, result))
win.close()
#把数据保存进文件里
fp = open(sub[‘ID‘] + ‘.txt‘,‘w‘)
fp.write("ID\tType\tnum\tpic\tprocess\ttime")
for label, text in scales:
fp.write("\t" + label)
fp.write(‘\n‘)
i = 1
for stim, result in results:
fp.write(sub[‘ID‘] + ‘\t‘ + sub[‘Type‘] + ‘\t‘ + str(i))
i = i + 1
fp.write(‘\t‘ + stim.name)
fp.write(‘\t‘ + stim.process)
fp.write(‘\t‘ + str(stim.time))
for label, text in scales:
fp.write(‘\t‘ + result[label])
fp.write(‘\n‘)
fp.close()
完整程序下载（包括图片等文件）：http://download.csdn.net/detail/zhanghao9547/8618453
时间： 2024-10-09 03:15:01