Sampling design

Sampling Design

There are ten questions in this quiz. Answer all questions.

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1

1/10

a

simple random sampling

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B

stratified random sampling

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c

systematic random sampling

Deeba needs to conduct a survey for an English Teacher Association. She takes the list of all the members and calls every 15th name on the list. This best illustrates _________

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Random sampling or known as probability sampling has four types.

1. Simple random sampling
2. Stratified random sampling (or sometimes, it is referred to as stratified sampling)
3. Systematic random sampling (or sometimes, it is referred to as systematic sampling)
4. Cluster random sampling (or sometimes, it is referred to as cluster sampling)

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1

Right answer (C):

Systematic sampling involves selection of every nth (i.e., 15th) individual in a population to be in the sample.

1/10

2

In simple random sampling, after a researcher has determined the desired sample size he/she must _____________

2/10

a

list all members of the population

B

identify the population

c

select an arbitrary number from the table of random numbers

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When selecting sample from a population, a researcher must know the procedures of a specific sampling design that he or she wants to use in his or her study. Each sampling design has its own unique procedures which differentiate one sampling design from another.

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2

Right answer (A):

After a researcher has decided to use simple random sampling as his/her sampling design, he/she must do the following steps:1) Make a list of all samples from a population2) Assign a sequential number to each sample. This will be the sampling frame (the list from which a researcher draws his/her simple random sample).3) Figure out what the sample size is going to be. 4) Use a random number generator to select the sample, using the sampling frame (population size) from Step 2 and the sample size from Step 3. For example, if a researcher's sample size is 500 and the population is 5000, generate 500 random numbers between 1 and 5000.

2/10

3

3/10

a

demographics

B

biases

c

properties

The characteristics of a sample that include pertinent information about the sample, such as gender or socioeconomic status, are referred to as the samples _________

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When collecting data, there are many information needed to answer the proposed research questions. It does not necessarily related to data which is gathered through manipulation of condition/treatment in an experimental research design. The data could be the one readily available and a part of the characteristics of samples.

3

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Right answer (A):

Demographic data is statistical data collected about the characteristics of the population, such as age, gender, income, and education background

3/10

4

A researcher is conducting a reading intervention study that involves only low achieving students of two schools. The intervention is delivered by the teacher to the entire classes, not the researcher. Which sampling technique is appropriate?

4/10

a

Convenience sampling

B

Purposive sampling

c

Cluster sampling

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For an intervention research which involved a specific group of samples with certain characteristics, what kind of sampling design is most suitable to be used in this case?

4

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Right answer (B):

In a case in which the issue undertudies only involves a specific group of students i.e. low achieving students in reading from two schools, random sampling might not be suitable. Thus, purposive sampling is more appropriate especially if the researcher is using a case study to explore the effectiveness of reading intervention program.

4/10

5

5/10

a

Homogeneous sampling

B

Theoretical sampling

c

Expert sampling

A researcher uses an ethnographic study that concerns the transitions that refugees students face as they attend mainstream schools. The researcher is particularly interested in the potential differences in the challenges for male and female students face. Which sampling technique is appropriate?

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An ethnography research is a qualitative research where researchers observe and/or interact with the participants in their real-life environment.

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5

Right answer (A):

Homogeneous sampling is a purposive sampling technique that involves selection a homogeneous sample whose units (e.g., people) share the same (or very similar) characteristics or traits

5/10

6

Which of the following is NOT a type of non-probability sampling?

6/10

a

Deviant case sampling

B

Quota sampling

c

Cluster sampling

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Sampling design can be divided into two:

• probability (random or randomized sampling)
• non-probability sampling (non-random or non-randomized sampling).

6

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Right answer (C):

Random sampling or known as probability sampling has four types: 1) Simple random sampling, 2) Stratified random sampling (or sometimes, it is referred to as stratified sampling), 3) Systematic random sampling (or sometimes, it is referred to as systematic sampling) and 4) Cluster random sampling (or sometimes, it is referred to as cluster sampling)

6/10

7

7/10

a

Quota sampling

B

Snowball sampling

c

Multi-stage cluster sampling

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Which sampling technique can help a researcher to overcome the problem of not having an accessible sampling frame?

When a researcher is in need of sufficient sample size, what would be a sampling design that could be used in this case?

7

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Right answer (B):

Snowball sampling can help the researcher to overcome the problem of not having an accessible sampling frame

7/10

8

When the population is widely dispersed geographically and you have limited time and money available for travelling, which is the best option of random sampling that you can use?

8/10

a

Simple random sampling

B

Multi-stage cluster sampling

c

Stratified sampling

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8

Right answer (B):

It is helpful to use a multi-stage cluster sample when the population is widely dispersed geographically and you have limited time and money available for travelling as well as you want to use a probability sample in order to generalise the results.

8/10

9

9/10

a

snowball sampling

B

quota sampling

c

convenience sampling

When people are readily available, volunteer, or are easily recruited to the sample, this is called __________

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Non-probability sampling is a sampling method in which all members in a population will not have an equal chance to be selected in a study.

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9

Right answer (C):

Convenience sample is a type of non-probability sampling method where the sample is taken from a group of people easy to contact or to reach

9/10

10

In general, all forms of sampling include the following steps except _______________

10/10

a

selecting the sample

B

identifying the population

c

listing all members of the population

+ Info

There are two types of sampling designs:

• probability sampling
• non-probability sampling

10

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Right answer (C):

All forms of sampling include the following steps (identifying a population, selecting sample and determining sample size) except listing all members of the population which is only for random (probability) sampling design

10/10

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Dr Hadijah JaffriSchool of EducationFaculty of Social Sciences and Humanities