Question 1

A simple random sample is an example of:

Accepted Answer

A)  a probabilistic sampling technique 
B)  a non-probabilistic sampling technique 
C)  the worst form of sampling 
D)  none of the above 
A)  a probabilistic sampling technique 
B)  a non-probabilistic sampling technique 
C)  the worst form of sampling 
D)  none of the above A

Question 2

Population, within sampling procedures, refers to:

Accepted Answer

A)  the population of any given society 
B)  the entire group one wishes to study 
C)  the valid number of cases in statistical analysis 
D)  the list from which a researcher selects respondents 
A)  the population of any given society 
B)  the entire group one wishes to study 
C)  the valid number of cases in statistical analysis 
D)  the list from which a researcher selects respondents B

Question 3

Which of the following may be used to compute a sample size:

Accepted Answer

A)  sample size = $\frac{(\text { confidence limit }) \times(\text { sd pop })^{2}}{(\text { accuracy })}$ 
B)  sample size = $\frac{(\text { confidence limit }) \times(\text { sd pop })}{(\text { accuracy })^{2}}$ 
C)  sample size = $\frac{(\text { confidence limit }) \times(\text { accuracy })}{(\text { sd pop })}$ 
D)  sample size = $ \frac{(\text { confidence limit) }}{(\text { sd pop) } x \text { (accuracy) })^{2}} $ 
A)  sample size = $\frac{(\text { confidence limit }) \times(\text { sd pop })^{2}}{(\text { accuracy })}$ 
B)  sample size = $\frac{(\text { confidence limit }) \times(\text { sd pop })}{(\text { accuracy })^{2}}$ 
C)  sample size = $\frac{(\text { confidence limit }) \times(\text { accuracy })}{(\text { sd pop })}$ 
D)  sample size = $ \frac{(\text { confidence limit) }}{(\text { sd pop) } x \text { (accuracy) })^{2}} $ B

Question 4

With a confidence level of 95%, you can be confident that your sample will be accurate:

Accepted Answer

A)  9 out of 10 times 
B)  19 out of 20 times 
C)  within 5% of the time 
D)  9.9 times out of 10 
E)  none of the above 
A)  9 out of 10 times 
B)  19 out of 20 times 
C)  within 5% of the time 
D)  9.9 times out of 10 
E)  none of the above

Question 5

It is possible to draw samples which are:

Accepted Answer

A)  probabilistic 
B)  non-probabilistic 
C)  randomly determined 
D)  all of the above 
E)  none of the above 
A)  probabilistic 
B)  non-probabilistic 
C)  randomly determined 
D)  all of the above 
E)  none of the above

Question 6

Quota samples are satisfied when:

Accepted Answer

A)  the desired number of qualified respondents is realized 
B)  the list of respondents has been exhausted 
C)  the desired number of respondents, regardless of qualifications, is reached 
D)  referrals have been exhausted 
A)  the desired number of qualified respondents is realized 
B)  the list of respondents has been exhausted 
C)  the desired number of respondents, regardless of qualifications, is reached 
D)  referrals have been exhausted

Question 7

Given the relationship between sample size and accuracy, to double accuracy, one must:

Accepted Answer

A)  double the sample size 
B)  quadruple the sample size 
C)  halve the sample size 
D)  leave alone the sample size, improve methodology 
A)  double the sample size 
B)  quadruple the sample size 
C)  halve the sample size 
D)  leave alone the sample size, improve methodology

Question 8

The sampling frame refers to:

Accepted Answer

A)  the entire group one wishes to study 
B)  the list from which one selects respondents 
C)  those who respond to delivered questionnaires 
D)  a list used only in non-probabilistic procedures 
A)  the entire group one wishes to study 
B)  the list from which one selects respondents 
C)  those who respond to delivered questionnaires 
D)  a list used only in non-probabilistic procedures

Question 9

Snowball sampling refers to:

Accepted Answer

A)  beginning with small samples and proceeding to larger ones 
B)  seeking respondents via a referral strategy 
C)  proceeding through various stages 
D)  none of the above 
A)  beginning with small samples and proceeding to larger ones 
B)  seeking respondents via a referral strategy 
C)  proceeding through various stages 
D)  none of the above

Question 10

Multi-stage area samples are used when:

Accepted Answer

A)  one wants to sample randomly in different areas 
B)  one wants to sample a group for which no possible list exists 
C)  all other types of sampling -probabilistic or not- are not possible 
D)  interviewers must, in different areas, make sampling decisions 
A)  one wants to sample randomly in different areas 
B)  one wants to sample a group for which no possible list exists 
C)  all other types of sampling -probabilistic or not- are not possible 
D)  interviewers must, in different areas, make sampling decisions

Question 11

The sampling fraction is expressed by:

Accepted Answer

A)  $\frac{\text{population}} {\text{sample size}}$ 
B)  (sd pop)2 
C)  $\frac{\text{sample size}} {\text{population}}$ 
D)  n + (1) (n) + (N) 
A)  $\frac{\text{population}} {\text{sample size}}$ 
B)  (sd pop)2 
C)  $\frac{\text{sample size}} {\text{population}}$ 
D)  n + (1) (n) + (N)

Question 12

A systematic sample differs from a simple random sample in that:

Accepted Answer

A)  it is superior 
B)  it is inferior 
C)  it employs a predetermined list of potential respondents 
D)  its results are subject to tests of statistical significance 
A)  it is superior 
B)  it is inferior 
C)  it employs a predetermined list of potential respondents 
D)  its results are subject to tests of statistical significance

Question 13

Stratified samples are employed:

Accepted Answer

A)  only when simple random samples are appropriate 
B)  when systematic samples are not possible 
C)  as much as possible due to their superiority 
D)  when you wish to represent categories of different sizes 
E)  none of the above 
A)  only when simple random samples are appropriate 
B)  when systematic samples are not possible 
C)  as much as possible due to their superiority 
D)  when you wish to represent categories of different sizes 
E)  none of the above

Question 14

The first step in determining a sample size is to:

Accepted Answer

A)  compute the sampling fraction 
B)  select a major variable to determine the size 
C)  decide on the confidence level to be used 
D)  adjust the sample size for cost and time 
A)  compute the sampling fraction 
B)  select a major variable to determine the size 
C)  decide on the confidence level to be used 
D)  adjust the sample size for cost and time

Question 15

A convenience sample is one which:

Accepted Answer

A)  satisfies the desired number of respondents 
B)  solicits the opinions of respondents who are reached in the easiest manner 
C)  proceeds on a referral basis 
D)  all of the above 
A)  satisfies the desired number of respondents 
B)  solicits the opinions of respondents who are reached in the easiest manner 
C)  proceeds on a referral basis 
D)  all of the above

Question 16

For a sample to accurately reflect a large population, it must be:

Accepted Answer

A)  statistically significant 
B)  relevant to that population 
C)  representative 
D)  non-probabilistic 
A)  statistically significant 
B)  relevant to that population 
C)  representative 
D)  non-probabilistic

Question 17

Probability sampling procedures involve techniques for:

Accepted Answer

A)  determining statistical significance 
B)  selecting pre-determined sampling units 
C)  selecting sampling units such that each has an unknown chance of being selected 
D)  selecting sampling units such that each has a known chance of being selected 
E)  none of the above 
A)  determining statistical significance 
B)  selecting pre-determined sampling units 
C)  selecting sampling units such that each has an unknown chance of being selected 
D)  selecting sampling units such that each has a known chance of being selected 
E)  none of the above

Question 18

Stratified samples ensure that individuals within a sampling group:

Accepted Answer

A)  may use simple random sampling techniques within categories 
B)  tend to over-represent minorities 
C)  have unequal likelihoods of being selected 
D)  all of the above 
A)  may use simple random sampling techniques within categories 
B)  tend to over-represent minorities 
C)  have unequal likelihoods of being selected 
D)  all of the above

Question 19

To adjust a sample size where n = computed sample size, and N= estimated size of the universe, use which of the following:

Accepted Answer

A)  $\frac{\text{n + (n)}} {\text{nm}}$ 
B)  n + (1 + n + N) 
C)  n ÷ (1 + (n ÷ N)) 
D)  n + (1 + n - N)2 
A)  $\frac{\text{n + (n)}} {\text{nm}}$ 
B)  n + (1 + n + N) 
C)  n ÷ (1 + (n ÷ N)) 
D)  n + (1 + n - N)2

Question 20

Sampling is conducted in order to:

Accepted Answer

A)  save time 
B)  save money 
C)  to reflect attitudes of larger groups 
D)  all of the above 
E)  none of the above 
A)  save time 
B)  save money 
C)  to reflect attitudes of larger groups 
D)  all of the above 
E)  none of the above

A simple random sample is an example of:

Population, within sampling procedures, refers to:

Which of the following may be used to compute a sample size:

With a confidence level of 95%, you can be confident that your sample will be accurate:

It is possible to draw samples which are:

Quota samples are satisfied when:

Given the relationship between sample size and accuracy, to double accuracy, one must:

The sampling frame refers to:

Snowball sampling refers to:

Multi-stage area samples are used when:

The sampling fraction is expressed by:

A systematic sample differs from a simple random sample in that:

Stratified samples are employed:

The first step in determining a sample size is to:

A convenience sample is one which:

For a sample to accurately reflect a large population, it must be:

Probability sampling procedures involve techniques for:

Stratified samples ensure that individuals within a sampling group:

To adjust a sample size where n = computed sample size, and N= estimated size of the universe, use which of the following:

Sampling is conducted in order to:

Approaches to Methods

Explaining

Experiments, Quasi-Experiments, and Field Observations

Survey Designs

Nonreactive and Comparative Research

Qualitative Research Methods

Critical Approaches to Research: Action and Feminist Research

A Statistics Primer

Three Tests of Significance

Bias

Ethical Issues

Getting the Project Started

Measurement

Questionnaire Development

Starting the Data Analysis

Basic Multivarate Techniques

The Research Report

Using Spss for Windows

Filters

Exam 15: Sampling and Sample Size

A simple random sample is an example of:

Population, within sampling procedures, refers to:

Which of the following may be used to compute a sample size:

With a confidence level of 95%, you can be confident that your sample will be accurate:

It is possible to draw samples which are:

Quota samples are satisfied when:

Given the relationship between sample size and accuracy, to double accuracy, one must:

The sampling frame refers to:

Snowball sampling refers to:

Multi-stage area samples are used when:

The sampling fraction is expressed by:

A systematic sample differs from a simple random sample in that:

Stratified samples are employed:

The first step in determining a sample size is to:

A convenience sample is one which:

For a sample to accurately reflect a large population, it must be:

Probability sampling procedures involve techniques for:

Stratified samples ensure that individuals within a sampling group:

To adjust a sample size where n = computed sample size, and N= estimated size of the universe, use which of the following:

Sampling is conducted in order to:

Approaches to Methods

Explaining

Experiments, Quasi-Experiments, and Field Observations

Survey Designs

Nonreactive and Comparative Research

Qualitative Research Methods

Critical Approaches to Research: Action and Feminist Research

A Statistics Primer

Three Tests of Significance

Bias

Ethical Issues

Getting the Project Started

Measurement

Questionnaire Development

Starting the Data Analysis

Basic Multivarate Techniques

The Research Report

Using Spss for Windows

Filters