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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
4. Match explanations of various data presenting techniques with Figures 6.3. – 6.8. There is one extra ex-
planation.
1. Diagram for showing frequency distributions for a grounded continuous data variable in which the area of each
bar represents the frequency of occurrence.
2. Diagram for showing trends in longitudinal data for a variable.
3. Diagram for showing frequency distributions for a categorical or grouped discrete data variable, which high-
lights the highest and lowest values.
4. Diagram frequently used for showing proportions for categorical data or a grouped continuous or discrete data
variable.
5. Diagram for comparing frequency distributions for a categorical or grouped discrete or continuous data variable,
which highlights the highest and lowest values.
6. Diagram for showing the relationship between two quantifiable or ranked data variables.
7. Technique for summarizing data from one or more variables so that specific values can be read.
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