Question

In stratified sampling, a random sample of subgroups is selected and all members of the subgroups become part of the sample.

True

False

In stratified sampling, a random sample of subgroups is selected and all members of the subgroups become part of the sample.

True

False

Non-probability sampling may not be representative of the population, thus it does not allow the researcher to explicitly identify possible biases.

True

False

The object of sampling is to obtain data that is representative of

the population.

True

False

Answer #1

1)In stratified sampling, a random sample of subgroups is selected and all members of the subgroups become part of the sample. :False (that is cluster sample)

2) In stratified sampling, a random sample of subgroups is selected and all members of the subgroups become part of the sample. :False (that is cluster sample)

3)

Non-probability sampling may not be representative of the population, thus it does not allow the researcher to explicitly identify possible biases.. true

4)

The object of sampling is to obtain data that is representative of

the population. **true**

It is possible to engage in systematic random sampling from a
stratified sample.
True
False

____
Simple Random Sample
____
Cluster sample
____
Systematic sample
____
Stratified sample
1.
While this type of sampling is very eacy to carry out, and hence
saves time and money, it can very easily yield samples which are
non-representative of the population, unintentionally. Often, data
comes "in cycles", where the beginning and the end of each cycle is
"atypical". If the "kth" individual is picked at the beginning or
at the end of a cycle more often than a...

The process of random sampling guarantees that the sample
selected will be representative of the population. Is this
statement true? Discuss.

Five different sampling methods are described below.
Choose the one that defines stratified sampling.
1. Select members of a population by asking for volunteers, or
otherwise find a sample that is easy to obtain and is not based on
randomness or chance.
2. Order the population, select a random starting point and
interval, then select individuals every interval from the starting
point until the desired sample size is achieved.
3. Take a sample of size ?n from a population in...

Quota sampling:
Select one:
a. involves taking a stratified sample in which the number of
sampling units drawn from each stratum is in proportion to the
relative population size of that stratum
b. ensures that certain characteristics of a population sample
will be represented to the exact extent that the researcher
desires.
c. obtains units or people who are most conveniently
available.
d. selects an initial starting point by a random process, and
then selects every nth number on the...

Question 2. Which of the following describes stratified
random sampling? Explain why it is correct and why it is
incorrect
The first 95% of the people who respond to a mailed
survey make up the sample, while the remaining 5% are not included
because they constitute the 5% late-error-rate.
The first half of a volunteer sample that shows up is
put in a group together-and the second half is grouped together.
Thus, we are left with a sample with two...

Researchers can assume that studies
that use random sampling
always generate a representative sample that accurately
reflects
the population from which it was
selected................................................ True------
False
The vast majority of social work
studies use probability sampling.........
True------ False

1a.) Stratified Random Sampling involves:
a. Dividing the population into overlapping groups
b. Taking a random sampling of a percentage of the pre-chosen
groups (usually 10% of total groups)
c. Choosing non-overlapping clusters (i.e. streets of a city)
and collecting data from all members of the selected cluster
d. None of the above
1b.) A data set consists of the values 2, 6, 3, and 1. If we
consider this a population (all the values available), the variance
is
a....

A stratified random sample was conducted to examine diabetes
risk factors in Community X (N=3000). This small southeastern
community only had non-Hispanic (NH) black (10%) and NH white (90%)
residents. An investigator first stratified the population by race
and then randomly selected an equal number of NH blacks (n=200) and
NH whites (n=200) for the study.
Does this sampling strategy utilize equal allocation or
proportional allocation?

1- ___________ tracks events as they occur and act as an
alternative to structured observation in quantitative
research
A-Focus group
B-Trend survey
C-Video survey
D-Diary method
2- Biased samples represent the whole population.
True
False
3- A sample that reflects the population accurately is called
a
A-Representative Sample
B-Sampling Frame
C-Sample Bias
D-Population
4- The larger the sample, the more precise and representative it is
likely to be.
True
False
5- Quota sampling is non-probability sampling technique, similar
to
A-Cluster...

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