Question 1

The sampling frame is a type of probability sample.

Accepted Answer

A) True 
 B)False

Question 2

Sampling error can be eliminated by drawing a probability sample.

Accepted Answer

A) True 
 B)False

Question 3

Defining the population in a survey is a two-step process. The first step consists of defining the __________; the second step consists of constructing the __________.

Accepted Answer

A)  unit of analysis; target population 
B)  target population; sampling frame 
C)  sampling frame; sample design 
D)  sampling design; sample 
A)  unit of analysis; target population 
B)  target population; sampling frame 
C)  sampling frame; sample design 
D)  sampling design; sample

Question 4

Parameter is to __________ as statistic is to __________.

Accepted Answer

A)  measurement; sampling 
B)  population; sample 
C)  mean; standard error 
D)  standard error; mean 
A)  measurement; sampling 
B)  population; sample 
C)  mean; standard error 
D)  standard error; mean

Question 5

For a numerical variable, say income, which of the following statistics has the smallest value?

Accepted Answer

A)  standard deviation of a sample for a sample size of 100 
B)  standard deviation of a sample for a sample size of 500 
C)  standard error of the sampling distribution for samples of size 100 
D)  standard error of the sampling distribution for samples of size 300 
A)  standard deviation of a sample for a sample size of 100 
B)  standard deviation of a sample for a sample size of 500 
C)  standard error of the sampling distribution for samples of size 100 
D)  standard error of the sampling distribution for samples of size 300

Question 6

Because of the ready availability of electronic lists and computer programs for random selection, this sampling method is seldom used today.

Accepted Answer

A)  simple random sampling 
B)  systematic sampling 
C)  proportionate stratified random sampling 
D)  single-stage cluster sampling 
E)  three-stage cluster sampling 
A)  simple random sampling 
B)  systematic sampling 
C)  proportionate stratified random sampling 
D)  single-stage cluster sampling 
E)  three-stage cluster sampling

Question 7

Stratified sampling and quota sampling are similar in that both

Accepted Answer

A)  are probability techniques. 
B)  require some knowledge of population characteristics prior to sample selection. 
C)  increase the sampling error. 
D)  require larger samples than other sampling techniques. 
A)  are probability techniques. 
B)  require some knowledge of population characteristics prior to sample selection. 
C)  increase the sampling error. 
D)  require larger samples than other sampling techniques.

Question 8

Knowledge of the sampling distribution of a statistic enables researchers to

Accepted Answer

A)  draw a smaller sample than ordinarily would be necessary. 
B)  estimate the probable margin of error of a sample statistic. 
C)  calculate the population value. 
D)  calculate the difference between a population value and a sample estimate. 
A)  draw a smaller sample than ordinarily would be necessary. 
B)  estimate the probable margin of error of a sample statistic. 
C)  calculate the population value. 
D)  calculate the difference between a population value and a sample estimate.

Question 9

One of the most important determinants of sample size is cost.

Accepted Answer

A) True 
 B)False

Question 10

In general, the greater the heterogeneity of the population, the larger the sample required for a given level of precision.

Accepted Answer

A) True 
 B)False

Question 11

In a disproportionate stratified sample,

Accepted Answer

A)  a different proportion of cases is drawn from each stratum. 
B)  the proportion of cases in each stratum of the sample differs from the proportion of cases in each stratum of the population. 
C)  a different number of cases is drawn from each stratum. 
A)  a different proportion of cases is drawn from each stratum. 
B)  the proportion of cases in each stratum of the sample differs from the proportion of cases in each stratum of the population. 
C)  a different number of cases is drawn from each stratum.

Question 12

A stratified random sample decreases sampling error to the extent that the differences between strata are large compared with differences within strata.

Accepted Answer

A) True 
 B)False

Question 13

To obtain a systematic random sample of size 100 from a population of size 3,000, one must first select a random case between 1 and ________ and then select every ________th case thereafter.

Accepted Answer

A)  100; 100 
B)  100; 30 
C)  10; 30 
D)  30; 30 
A)  100; 100 
B)  100; 30 
C)  10; 30 
D)  30; 30

Question 14

Probability sampling designs eliminate coverage error and nonresponse bias.

Accepted Answer

A) True 
 B)False

Question 15

Which of the following questions would be least relevant in judging the overall quality of a sample?

Accepted Answer

A)  Is it a probability or nonprobability sample? 
B)  How complete was the sampling frame? 
C)  What was the response rate? 
D)  Was the sampling design single or multistage? 
A)  Is it a probability or nonprobability sample? 
B)  How complete was the sampling frame? 
C)  What was the response rate? 
D)  Was the sampling design single or multistage?

Question 16

Suppose you want to estimate the average number of courses that students at your school take in the natural sciences. The registrar provides a complete list of student names, along with each student's campus or local address, class year, and major. Assuming that you can only select 100 students, your best estimate would probably come from a

Accepted Answer

A)  simple random sample. 
B)  systematic sample. 
C)  stratified random sample, stratifying on student major. 
D)  cluster sample, with student residence halls serving as the clusters. 
E)  quota sample, with twenty-five students selected from each class. 
A)  simple random sample. 
B)  systematic sample. 
C)  stratified random sample, stratifying on student major. 
D)  cluster sample, with student residence halls serving as the clusters. 
E)  quota sample, with twenty-five students selected from each class.

Question 17

Multistage cluster sampling is most appropriate for small, geographically concentrated populations.

Accepted Answer

A) True 
 B)False

Question 18

__________ produces random sampling error, whereas __________ is a source of sample bias.

Accepted Answer

A)  An incomplete sampling frame; refusals to cooperate 
B)  Random selection; failures to contact sampled respondents 
C)  Refusals to cooperate; an incomplete sampling frame 
D)  Failures to contact sampled respondents; random selection 
A)  An incomplete sampling frame; refusals to cooperate 
B)  Random selection; failures to contact sampled respondents 
C)  Refusals to cooperate; an incomplete sampling frame 
D)  Failures to contact sampled respondents; random selection

Question 19

Given the same standard error, a 99 percent confidence interval is smaller than a 95 percent interval.

Accepted Answer

A) True 
 B)False

Question 20

According to the textbook authors, in social research,

Accepted Answer

A)  a census of the population is always more accurate than a sample of the population. 
B)  the more homogeneous the population, the greater the need to rely on a sample of cases rather than a single case. 
C)  practical considerations such as time and cost usually necessitate sampling. 
D)  no sample can adequately represent human variability. 
A)  a census of the population is always more accurate than a sample of the population. 
B)  the more homogeneous the population, the greater the need to rely on a sample of cases rather than a single case. 
C)  practical considerations such as time and cost usually necessitate sampling. 
D)  no sample can adequately represent human variability.

The sampling frame is a type of probability sample.

Sampling error can be eliminated by drawing a probability sample.

Defining the population in a survey is a two-step process. The first step consists of defining the ; the second step consists of constructing the .

Parameter is to as statistic is to .

For a numerical variable, say income, which of the following statistics has the smallest value?

Because of the ready availability of electronic lists and computer programs for random selection, this sampling method is seldom used today.

Stratified sampling and quota sampling are similar in that both

Knowledge of the sampling distribution of a statistic enables researchers to

One of the most important determinants of sample size is cost.

In general, the greater the heterogeneity of the population, the larger the sample required for a given level of precision.

In a disproportionate stratified sample,

A stratified random sample decreases sampling error to the extent that the differences between strata are large compared with differences within strata.

To obtain a systematic random sample of size 100 from a population of size 3,000, one must first select a random case between 1 and and then select every th case thereafter.

Probability sampling designs eliminate coverage error and nonresponse bias.

Which of the following questions would be least relevant in judging the overall quality of a sample?

Multistage cluster sampling is most appropriate for small, geographically concentrated populations.

produces random sampling error, whereas is a source of sample bias.

Given the same standard error, a 99 percent confidence interval is smaller than a 95 percent interval.

According to the textbook authors, in social research,

Introduction

The Nature of Science

Research Ethics

Elements of Research Design

Measurement

Experimentation

Experimental Designs

Survey Research

Survey Instrumentation

Field Research

Research Using Available Data

Multiple Methods

Data Processing and Elementary Data Analysis

Multivariate Analysis

Writing Research Reports

Filters

Exam 6: Sampling

The sampling frame is a type of probability sample.

Sampling error can be eliminated by drawing a probability sample.

Defining the population in a survey is a two-step process. The first step consists of defining the __________; the second step consists of constructing the __________.

Parameter is to __________ as statistic is to __________.

For a numerical variable, say income, which of the following statistics has the smallest value?

Because of the ready availability of electronic lists and computer programs for random selection, this sampling method is seldom used today.

Stratified sampling and quota sampling are similar in that both

Knowledge of the sampling distribution of a statistic enables researchers to

One of the most important determinants of sample size is cost.

In general, the greater the heterogeneity of the population, the larger the sample required for a given level of precision.

In a disproportionate stratified sample,

A stratified random sample decreases sampling error to the extent that the differences between strata are large compared with differences within strata.

To obtain a systematic random sample of size 100 from a population of size 3,000, one must first select a random case between 1 and ________ and then select every ________th case thereafter.

Probability sampling designs eliminate coverage error and nonresponse bias.

Which of the following questions would be least relevant in judging the overall quality of a sample?

Multistage cluster sampling is most appropriate for small, geographically concentrated populations.

__________ produces random sampling error, whereas __________ is a source of sample bias.

Given the same standard error, a 99 percent confidence interval is smaller than a 95 percent interval.

According to the textbook authors, in social research,

Introduction

The Nature of Science

Research Ethics

Elements of Research Design

Measurement

Experimentation

Experimental Designs

Survey Research

Survey Instrumentation

Field Research

Research Using Available Data

Multiple Methods

Data Processing and Elementary Data Analysis

Multivariate Analysis

Writing Research Reports

Filters

Defining the population in a survey is a two-step process. The first step consists of defining the ; the second step consists of constructing the .

Parameter is to as statistic is to .

To obtain a systematic random sample of size 100 from a population of size 3,000, one must first select a random case between 1 and and then select every th case thereafter.

produces random sampling error, whereas is a source of sample bias.