Question 1

What is the least reliable and least efficient probability sampling technique?

Accepted Answer

A) Systematic sampling. 
B) Proportionate stratified sampling. 
C) Disproportionate stratified sampling. 
D) Cluster sampling. 
A) Systematic sampling. 
B) Proportionate stratified sampling. 
C) Disproportionate stratified sampling. 
D) Cluster sampling. D

Question 2

As a rule,probability sampling leads to a representative sample.

Accepted Answer

A) True 
 B)False  True

Question 3

Stratified sampling and cluster sampling are examples of probability sampling.

Accepted Answer

A) True 
 B)False  True

Question 4

A disadvantage of cluster sampling is that it:

Accepted Answer

A) Is the least efficient form of probability sampling. 
B) Requires homogeneous subgroups. 
C) Takes a lot of time to collect data. 
D) Is not easy to execute. 
A) Is the least efficient form of probability sampling. 
B) Requires homogeneous subgroups. 
C) Takes a lot of time to collect data. 
D) Is not easy to execute.

Question 5

From statistical considerations the preference is given to probability sampling over non-probability sampling.

Accepted Answer

A) True 
 B)False

Question 6

When representativity is an important criterion for a study,which sampling technique would you choose?

Accepted Answer

A) Systematic sampling. 
B) Judgment sampling. 
C) Quota sampling. 
D) Convenience sampling. 
A) Systematic sampling. 
B) Judgment sampling. 
C) Quota sampling. 
D) Convenience sampling.

Question 7

Simple random sampling is a method associated with a high degree of generalizability.

Accepted Answer

A) True 
 B)False

Question 8

If all elements in the population are seen as equal and every element has an equal chance of being chosen,we speak of:

Accepted Answer

A) Simple random sampling. 
B) Systematic sampling. 
C) Stratified random sampling. 
D) Cluster sampling. 
A) Simple random sampling. 
B) Systematic sampling. 
C) Stratified random sampling. 
D) Cluster sampling.

Question 9

If a sample is subdivided into subsamples,a minimal sample size of 10 is necessary for every subsample.

Accepted Answer

A) True 
 B)False

Question 10

If a sample is subdivided into subsamples,a minimal sample size of 30 is necessary for every subsample.

Accepted Answer

A) True 
 B)False

Question 11

Probability sampling is seen as less representative for the population than non-probability sampling.

Accepted Answer

A) True 
 B)False

Question 12

A researcher wants to investigate the relationships between the use of drugs and study results of university students.He would like to generalize the results to the population.Which kind of sample could the researcher best use?

Accepted Answer

A) Stratified sampling 
B) Judgment sampling 
C) Simple random sampling 
D) Quota sampling 
A) Stratified sampling 
B) Judgment sampling 
C) Simple random sampling 
D) Quota sampling

Question 13

Non-probability sampling leads to findings that are highly generalizable.

Accepted Answer

A) True 
 B)False

Question 14

Snowball sampling and Quota sampling are both non-probability sampling techniques.

Accepted Answer

A) True 
 B)False

Question 15

If your objective is to compose a representative sample,what kind of sampling technique would you choose?

Accepted Answer

A) Simple random sampling. 
B) Judgment sampling. 
C) Convenience sampling. 
D) Quota sampling . 
A) Simple random sampling. 
B) Judgment sampling. 
C) Convenience sampling. 
D) Quota sampling .

Question 16

In probability sampling all elements of a population have a known and equal change to be included in the sample.

Accepted Answer

A) True 
 B)False

Question 17

Cluster sampling is the least representative probability sampling design.

Accepted Answer

A) True 
 B)False

Question 18

Based on the desired accuracy and reliability of the research results,we can determine a desired sample size by a formula.The desired sample size is adjusted (and we then speak of an adjusted n)when:

Accepted Answer

A) The sample size is greater than 1000 persons. 
B) The sample size is greater than 50 percent of the population. 
C) The sample size is greater than 1 percent of the population. 
D) None of the above answers is correct. 
A) The sample size is greater than 1000 persons. 
B) The sample size is greater than 50 percent of the population. 
C) The sample size is greater than 1 percent of the population. 
D) None of the above answers is correct.

Question 19

Convenience sampling and quota sampling are examples of probability sampling.

Accepted Answer

A) True 
 B)False

Question 20

Which of the following sampling designs is a form of non-probability sampling?

Accepted Answer

A) Systematic sampling. 
B) Area sampling. 
C) Quota sampling. 
D) Cluster sampling. 
A) Systematic sampling. 
B) Area sampling. 
C) Quota sampling. 
D) Cluster sampling.

What is the least reliable and least efficient probability sampling technique?

As a rule,probability sampling leads to a representative sample.

Stratified sampling and cluster sampling are examples of probability sampling.

A disadvantage of cluster sampling is that it:

From statistical considerations the preference is given to probability sampling over non-probability sampling.

When representativity is an important criterion for a study,which sampling technique would you choose?

Simple random sampling is a method associated with a high degree of generalizability.

If all elements in the population are seen as equal and every element has an equal chance of being chosen,we speak of:

If a sample is subdivided into subsamples,a minimal sample size of 10 is necessary for every subsample.

If a sample is subdivided into subsamples,a minimal sample size of 30 is necessary for every subsample.

Probability sampling is seen as less representative for the population than non-probability sampling.

A researcher wants to investigate the relationships between the use of drugs and study results of university students.He would like to generalize the results to the population.Which kind of sample could the researcher best use?

Non-probability sampling leads to findings that are highly generalizable.

Snowball sampling and Quota sampling are both non-probability sampling techniques.

If your objective is to compose a representative sample,what kind of sampling technique would you choose?

In probability sampling all elements of a population have a known and equal change to be included in the sample.

Cluster sampling is the least representative probability sampling design.

Based on the desired accuracy and reliability of the research results,we can determine a desired sample size by a formula.The desired sample size is adjusted (and we then speak of an adjusted n)when:

Convenience sampling and quota sampling are examples of probability sampling.

Which of the following sampling designs is a form of non-probability sampling?

Introduction to Research

The Scientific Approach and Alternative Approaches to Investigation

Defining and Refining the Problem

The Critical Literature Review

Theoretical Framework and Hypothesis Development

Elements of Research Design

Interviews

Data Collection Methods: Observation

Administering Questionnaires

Experimental Designs

Measurement of Variables: Operational Definition

Measurement: Scaling, Reliability and Validity

Quantitative Data Analysis

Quantitative Data Analysis: Hypothesis Testing

Qualitative Data Analysis

The Research Report

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Exam 13: Sampling

What is the least reliable and least efficient probability sampling technique?

As a rule,probability sampling leads to a representative sample.

Stratified sampling and cluster sampling are examples of probability sampling.

A disadvantage of cluster sampling is that it:

From statistical considerations the preference is given to probability sampling over non-probability sampling.

When representativity is an important criterion for a study,which sampling technique would you choose?

Simple random sampling is a method associated with a high degree of generalizability.

If all elements in the population are seen as equal and every element has an equal chance of being chosen,we speak of:

If a sample is subdivided into subsamples,a minimal sample size of 10 is necessary for every subsample.

If a sample is subdivided into subsamples,a minimal sample size of 30 is necessary for every subsample.

Probability sampling is seen as less representative for the population than non-probability sampling.

A researcher wants to investigate the relationships between the use of drugs and study results of university students.He would like to generalize the results to the population.Which kind of sample could the researcher best use?

Non-probability sampling leads to findings that are highly generalizable.

Snowball sampling and Quota sampling are both non-probability sampling techniques.

If your objective is to compose a representative sample,what kind of sampling technique would you choose?

In probability sampling all elements of a population have a known and equal change to be included in the sample.

Cluster sampling is the least representative probability sampling design.

Based on the desired accuracy and reliability of the research results,we can determine a desired sample size by a formula.The desired sample size is adjusted (and we then speak of an adjusted n)when:

Convenience sampling and quota sampling are examples of probability sampling.

Which of the following sampling designs is a form of non-probability sampling?

Introduction to Research

The Scientific Approach and Alternative Approaches to Investigation

Defining and Refining the Problem

The Critical Literature Review

Theoretical Framework and Hypothesis Development

Elements of Research Design

Interviews

Data Collection Methods: Observation

Administering Questionnaires

Experimental Designs

Measurement of Variables: Operational Definition

Measurement: Scaling, Reliability and Validity

Quantitative Data Analysis

Quantitative Data Analysis: Hypothesis Testing

Qualitative Data Analysis

The Research Report

Filters