stud
bud
Sign up
Log in
Home
Library
Explore
SAT
More
Soc Methods 2.8 Flashcards | StudBud
Explore
/
Soc Methods 2.8
Soc Methods 2.8
30 terms
·
StudBud Administration
·
14 plays
Imported from external platform
Flashcards
30 cards
F
Practice quiz
P
Host live
L
Questions
30
Answers
1
What are weights used to adjust for?
Non-Response Bias
Selection Bias
2
If something is not generalizable, then what is it?
Set Observation
Sample Observation
Specific Observation
Selective Observation
3
This Non-Random Sampling Method diversifies sampling by including set numbers of cases for each different type
Purposive Sampling
Snowball Sampling
Convenience Sampling
Quota Sampling
4
Random error is an example of _____
Biased error
Unbiased error
5
What percentage of a student's day is spent in class is an example of _____ statistics.
Inferential
Descriptive
6
The majority of students sampled liked Fridays is an example of ______ statistics.
Inferential
Descriptive
7
What is the Sequential Interviewing/Extended Case Method?
Interviewing cases based on relevance
Interviewing in order of most to least important
Interviewing participants multiple times over an extended period of time
Changing the interview questions as your learn more about your participants
8
This random sampling method selects from random groups within naturally occurring groups in the population
Cluster Sampling
Systematic Random Sampling
Simple Random Sampling
Stratified Random Sampling
9
Weights are typically used in this method of sampling:
Non-Random Sample
Random Sample
10
The left target is an example of _____ error
Random
Systematic
11
Sampling is the process of what?
Generalizing your study to the rest of the population
Creating your sampling frame
Selecting cases to be in your sample
Interviewing your sample
12
Studies with high systematic error produce _____ and _____ results.
Inaccurate, Precise
Accurate, Imprecise
Inaccurate, Imprecise
Accurate, Precise
13
What % of respondants lived out of state is an example of a(n) _____ statistics question.
Inferential
Descriptive
14
________ happens when the sampling procedure reduces the chances that some kinds of people will be included in the study
Selection Bias
Sample Bias
Vetting Bias
Non-Response Bias
15
This random sampling method is like SRS except the researcher will use a random number as the start value
Systematic Random Sampling
Cluster Sampling
Simple Random Sampling
Stratified Random Sampling
16
This Non-Random Sampling Method is based on whoever is convenient to include in the sample
Quota Sampling
Snowball Sampling
Convenience Sampling
Purposive Sampling
17
How do you reduce systematic error?
Large Sample Sizes
You can't
Unbiased Sampling
Using Weights
18
Selection Bias and Non-Response Bias are examples of what?
Unbiased Error
Specific Error
Random Error
Systematic Error
19
______ the set of people/units who are actually in the study.
Sample
Cohort
Population
Group
20
How do you reduce random error?
Using Weights
You can't
Unbiased Sampling
Large Sample Sizes
21
A ______ is the entire group of people (or other units of analysis) that a researcher is trying to study
Cohort
Sample
Population
Group
22
What % of Spotify listeners switched from Apple Music is a(n) _______ statistics question.
Descriptive
Inferential
23
Studies with high random error produce _____ and _____ results.
Accurate, Precise
Inaccurate, Precise
Inaccurate, Imprecise
Accurate, Imprecise
24
Exam averages are examples of ______ statistics.
Inferential
Descriptive
25
________ happens when people/units don’t cooperate. Some are selected but refuse or hide.
Selection Bias
Vetting Bias
Sample Bias
Non-Response Bias
26
This random sampling method uses prior information about the population to construct a sample using
strata
Simple Random Sampling
Stratified Random Sampling
Cluster Sampling
Systematic Random Sampling
27
This Non-Random Sampling Method involves choosing each case for a reason – often because of outside knowledge
Convenience Sampling
Snowball Sampling
Quota Sampling
Purposive Sampling
28
A sampling frame is a (usually perfect) operationalization of a population.
True
False
29
This random sampling method selects based strictly on chance and the probability of selection is the same for every case
Cluster Sampling
Simple Random Sampling
Stratified Random Sampling
Systematic Random Sampling
30
This Non-Random Sampling Method involves asking participants to refer other participants
Purposive Sampling
Convenience Sampling
Quota Sampling
Snowball Sampling