Question 1

Define the following:
-deviant case sampling

Accepted Answer

A type of nonrandom sampling,especially

Question 2

Define the following:
-sampling distribution

Accepted Answer

A distribution of va

Question 3

In what situations is it appropriate to use a purposive sampling technique?

Accepted Answer

●In purposive sampling,researchers selec

Question 4

Define the following:
-random-digit dialing (RDD)

Accepted Answer

A method of randomly selecting

Question 5

Define the following:
-target population

Accepted Answer

The name for the large group o

Question 6

Sam Smith,the CEO of a local TV station,recently conducted a study of TV watchers in his area.He obtained a list of all residential customers from the cable TV company's billing list.He selected customers from the 20 000 households on the billing list by taking every fortieth household.A trained interviewer then visited each household and asked detailed questions about the viewing habits of various family members. What is Sam Smith's sampling ratio?

Accepted Answer

A) 0)002 or 0.2% 
B) 0)005 or 0.5% 
C) 0)025 or 2.5% 
D) 0)050 or 5% 
E) 0)0002 or 0.02% 
A) 0)002 or 0.2% 
B) 0)005 or 0.5% 
C) 0)025 or 2.5% 
D) 0)050 or 5% 
E) 0)0002 or 0.02%

Question 7

Using an example,how can you get a sampling interval from a sampling ratio? What type of sampling is the sampling interval used with?

Accepted Answer

●Say you want to sample 300 names from a

Question 8

Define the following:
-hidden populations

Accepted Answer

People or units that engage in

Question 9

Karen Simmons was curious to know whether her fellow Torontonians were more likely to shop at small,locally-owned store,or big-box stores like Walmart.To satisfy her curiosity,Karen stood on the sidewalk in front of her condo building and asked passers by about their consumer practices.What kind of sampling technique did Karen use?

Accepted Answer

A) Random sampling 
B) Cluster sampling 
C) Quota sampling 
D) Haphazard sampling 
E) Simple random sampling 
A) Random sampling 
B) Cluster sampling 
C) Quota sampling 
D) Haphazard sampling 
E) Simple random sampling

Question 10

Sam Smith,the CEO of a local TV station,recently conducted a study of TV watchers in his area.He obtained a list of all residential customers from the cable TV company's billing list.He selected customers from the 20 000 households on the billing list by taking every fortieth household.A trained interviewer then visited each household and asked detailed questions about the viewing habits of various family members. How large is Sam Smith's sample?

Accepted Answer

A) 500 
B) 1000 
C) 1500 
D) 2000 
E) 20 000 
A) 500 
B) 1000 
C) 1500 
D) 2000 
E) 20 000

Question 11

Define the following:
-haphazard sampling

Accepted Answer

A type of nonrandom

Question 12

Define the following:
-theoretical saturation

Accepted Answer

A term associated with grounde

Question 13

Define the following:
-stratified sampling

Accepted Answer

A type of random sample in whi

Question 14

Define the following:
-sample

Accepted Answer

A smaller set of cases selecte

Question 15

Define the following:
-sampling interval

Accepted Answer

The inverse of the sampling ra

Question 16

Define the following:
-random sample

Accepted Answer

A type of sample in which the

Question 17

Define the following:
-simple random sampling

Accepted Answer

A type of random sampling in which a res

Question 18

Professor Bobby Birdfeather wants to study how people join a small extremist political organization dedicated to right-wing causes.He first interviews recent recruits and asks who introduced him/her to the organization.He next interviews the named person and asks who introduced him/her to the organization,and so on.What kind of sampling is this?

Accepted Answer

A) Snowball 
B) Systematic 
C) Deviant case 
D) Accidental 
E) Cluster 
A) Snowball 
B) Systematic 
C) Deviant case 
D) Accidental 
E) Cluster

Question 19

Define the following:
-margin of error

Accepted Answer

An estimate about th

Question 20

According to the central limit theorem used in inferential statistics,

Accepted Answer

A) the bigger your sample,the better your results. 
B) when drawing many random samples,the samples form a normal curve with the highest point of the distribution equal to the population parameter. 
C) the best estimate of population parameters comes when one uses the inverse square of the z-probability distribution. 
D) 90 percent of all samples drawn in a simple random manner will contain some error. 
E) in order to infer from a sample to a population,the sampling error must equal zero. 
A) the bigger your sample,the better your results. 
B) when drawing many random samples,the samples form a normal curve with the highest point of the distribution equal to the population parameter. 
C) the best estimate of population parameters comes when one uses the inverse square of the z-probability distribution. 
D) 90 percent of all samples drawn in a simple random manner will contain some error. 
E) in order to infer from a sample to a population,the sampling error must equal zero.

Define the following: -deviant case sampling

Define the following: -sampling distribution

In what situations is it appropriate to use a purposive sampling technique?

Define the following: -random-digit dialing (RDD)

Define the following: -target population

Using an example,how can you get a sampling interval from a sampling ratio? What type of sampling is the sampling interval used with?

Define the following: -hidden populations

Define the following: -haphazard sampling

Define the following: -theoretical saturation

Define the following: -stratified sampling

Define the following: -sample

Define the following: -sampling interval

Define the following: -random sample

Define the following: -simple random sampling

Define the following: -margin of error

According to the central limit theorem used in inferential statistics,

Doing Social Research

Theory and Social Research

Ethics in Social Research

Reviewing the Scholarly Literature and Planning a Study

Designing a Study

Qualitative and Quantitative Measurement

Survey Research

Experimental Research

Nonreactive Quantitative Research and Secondary Analysis

Analysis of Quantitative Data

Qualitative Interviewing

Field Research

Nonreactive Qualitative Research

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Exam 7: Qualitative and Quantitative Sampling

Define the following: -deviant case sampling

Define the following: -sampling distribution

In what situations is it appropriate to use a purposive sampling technique?

Define the following: -random-digit dialing (RDD)

Define the following: -target population

Using an example,how can you get a sampling interval from a sampling ratio? What type of sampling is the sampling interval used with?

Define the following: -hidden populations

Define the following: -haphazard sampling

Define the following: -theoretical saturation

Define the following: -stratified sampling

Define the following: -sample

Define the following: -sampling interval

Define the following: -random sample

Define the following: -simple random sampling

Define the following: -margin of error

According to the central limit theorem used in inferential statistics,

Doing Social Research

Theory and Social Research

Ethics in Social Research

Reviewing the Scholarly Literature and Planning a Study

Designing a Study

Qualitative and Quantitative Measurement

Survey Research

Experimental Research

Nonreactive Quantitative Research and Secondary Analysis

Analysis of Quantitative Data

Qualitative Interviewing

Field Research

Nonreactive Qualitative Research

Analysis of Qualitative Data

Combining Methods in Social Science Research

Filters