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

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

Accepted Answer

A) True 
 B)False  True

Question 3

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

Accepted Answer

A) True 
 B)False  False

Question 4

With systematic sampling one divides the population into subgroups and chooses the test subject randomly from a number of randomly chosen subgroups.

Accepted Answer

A) True 
 B)False

Question 5

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 6

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

Accepted Answer

A) True 
 B)False

Question 7

Stratified sampling and cluster sampling are examples of probability sampling.

Accepted Answer

A) True 
 B)False

Question 8

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 9

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

Accepted Answer

A) True 
 B)False

Question 10

The bigger the sample size,the better.

Accepted Answer

A) True 
 B)False

Question 11

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.

Question 12

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 13

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

Accepted Answer

A) True 
 B)False

Question 14

When representativity is an important criterion for a study,which sampling technique would you choose?
a.Systematic sampling.
b.Judgment sampling.
c.Quota sampling.
d.Convenience sampling.

Accepted Answer

A) True 
 B)False

Question 15

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

Accepted Answer

A) True 
 B)False

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

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 18

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

Accepted Answer

A) True 
 B)False

Question 19

Convenience sampling and quota sampling are examples of probability sampling.

Accepted Answer

A) True 
 B)False

Question 20

Cluster sampling is the least representative probability sampling design.

Accepted Answer

A) True 
 B)False

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

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

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

With systematic sampling one divides the population into subgroups and chooses the test subject randomly from a number of randomly chosen subgroups.

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.

Stratified sampling and cluster sampling are examples of probability sampling.

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

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

The bigger the sample size,the better.

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

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

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? a.Systematic sampling. b.Judgment sampling. c.Quota sampling. d.Convenience sampling.

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

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

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:

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

Convenience sampling and quota sampling are examples of probability sampling.

Cluster sampling is the least representative probability sampling design.

Introduction to Research

Scientific Investigation

The Broad Problem Area and Defining the Problem Statement

The Critical Literature Review

Theoretical Framework and Hypothesis Development

The Elements of Research Design

Data Collection Methods: Introduction and Interviews

Data Collection Methods: Observation

Data Collection Methods: Questionnaires

Experimental Designs

Measurement of Variables: Operational Definition

Measurement: Scaling,reliability,validity

Quantitative Data Analysis

Quantitative Data Analysis: Hypothesis Testing

Qualitative Data Analysis

The Research Report

Filters

Exam 13: Sampling

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

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

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

With systematic sampling one divides the population into subgroups and chooses the test subject randomly from a number of randomly chosen subgroups.

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.

Stratified sampling and cluster sampling are examples of probability sampling.

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

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

The bigger the sample size,the better.

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

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

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? a.Systematic sampling. b.Judgment sampling. c.Quota sampling. d.Convenience sampling.

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

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

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:

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

Convenience sampling and quota sampling are examples of probability sampling.

Cluster sampling is the least representative probability sampling design.

Introduction to Research

Scientific Investigation

The Broad Problem Area and Defining the Problem Statement

The Critical Literature Review

Theoretical Framework and Hypothesis Development

The Elements of Research Design

Data Collection Methods: Introduction and Interviews

Data Collection Methods: Observation

Data Collection Methods: Questionnaires

Experimental Designs

Measurement of Variables: Operational Definition

Measurement: Scaling,reliability,validity

Quantitative Data Analysis

Quantitative Data Analysis: Hypothesis Testing

Qualitative Data Analysis

The Research Report

Filters