Р. П. Мильруд Доктор педагогических наук, профессор кафедры иностранных языков


Figure 6.2. demonstrates a variety of data collecting techniques. Fill in the spaces in the network using in-



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2. Figure 6.2. demonstrates a variety of data collecting techniques. Fill in the spaces in the network using in-
formation from the text. Some spaces are already filled to help you.
 
 
Figure 6.2. Data collecting techniques 
Sampling 
Observation 
Data collecting techniques 
Questionnaires 
Interviews 
Secondary data 
participant
unstructured 
probability 
documentary 
self-administered 
telephone 
on-line 


3. Match terms in column A with their definitions in column B. 
 
A B 
1) 
respondent 
interview 
a) statistical test to determine the probability that an 
observed set of values for each category of a variable 
differs from a specified distribution 
2) 
informant 
interview 
b) the collection and analysis of data from every possi-
ble case or group member in a population 
3) 
Kolmo-
gorov-Smirnov 
test 
c) data collection technique in which each respondent 
reads and answers the same set of questions in a prede-
termined order without an interviewer present 
4) 
closed ques-
tion 
d) question that provides a number of alternative an-
swers from which the respondent is instructed to choose
5) 
filter ques-
tion 
e) subgroup or part of a larger population 
6) 
mean 
f) interview directed by the questions posed by the in-
terviewer 
7) 
sample 
g) systematic errors made by observers, as a result of 
tiredness, for example 
8) 
census 
h) interview guided by the perceptions of the inter-
viewee 
9) 
self-
administered 
questionnaire 
i) data collection technique in which an interviewer 
reads the same set of questions to the respondent in a 
predetermined order and records his or her responses 
10) 
inter-
viewer-
administered 
questionnaire 
j) selection of sampling techniques in which the chance, 
or probability, of each case being selected from the popu-
lation is known and is not zero 
11) 
pilot test 
k) the average value calculated by adding up the values 
of each case for a variable and dividing by the total num-
ber of cases 
12) 
probability 
sampling 
l) small-scale study to test a questionnaire or interview 
checklist, to minimize the likelihood of respondents hav-
ing problems in answering the questions and of data re-
cording problems as well as to allow some assessment of 
the questions’ validity and the reliability of the ata that 
will be collected 
13) 
non-
probability 
sampling 
m) selection of sampling techniques in which the chance, 
or probability, of each case being selected is not known 
14) 
observer 
error 
n) closed question that identifies those respondents for 
whom the following question or questions are not appli-
cable, enabling them to skip these questions 


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