CNUR209 Unit 2 Exam with Complete Solutions (Already Graded A+)
3 views 0 purchase
Course
CNUR209 Unit 2
Institution
CNUR209 Unit 2
CNUR209 Unit 2 Exam with Complete Solutions (Already Graded A+)
Two ways to define sampling criteria - Answer- · Homogeneous sample - as similar as possible so as to control for extraneous variables
· Heterogeneous sample - represents a broad range of values, used when a narrow focus is not...
CNUR209 Unit 2 Exam with
Complete Solutions
(Already Graded A+)
Two ways to define sampling criteria - Answer- · Homogeneous sample - as similar as
possible so as to control for extraneous variables
· Heterogeneous sample - represents a broad range of values, used when a narrow
focus is not desirable. The more heterogeneous, the more difficult to interpret results
and generalize
nonprobability sampling - Answer- the probability of any particular member of the
population being chosen is unknown
Probability sampling - Answer- randomization of sample, more likely to be
representative of population. Each element of the population has an equal chance of
inclusion in the sample. Most representative, strongest
Simple random sampling - Answer- laborious (require much work), controlled. Need to
know the entire population. Increases the representativeness of the sample based on
the target population.
· Control group: used in studies with random sampling
· Comparison group: not randomly determined
Stratified random sampling - Answer- requires that the population be divided into strata
or subgroups. The goal of this strategy is to achieve a greater degree of
representativeness
Multistage sampling or cluster sampling - Answer- involves a successive random
sampling of units (clusters) that meet sample eligibility criteria, this sample progresses
from large to small
Systematic sampling - Answer- strategy that involves the selection of every "kth" case
drawn from a population list at fixed intervals, such as q 10thmember listed in certain
directory
Convenience sampling - Answer- most readily accessible persons are participants.
Risk: bias, self-selection
, Quota sampling - Answer- identifies a specific strata of the population and represents it
proportionally (known attributes) in the sample. More representative, still risk of bias.
Purposive sampling or Judgmental or Selective sampling - Answer- efforts are made to
include typical or atypical subjects. Sampling is based on the researcher's judgement
Matching sampling - Answer- an equivalent comparison sample group by filling it with
participants who are similar (chosen variable) to each subject in another sample group
(particular criteria)
Network or snowball effect sampling - Answer- takes advantage of social networks to
get the sample. One person in the sample asks another to join the sample, and so on.
Theoretical sampling - Answer- used in grounded theory research. Data are gathered
from an individual or group that can provide relevant data for theory generation diversity
in the sample is encouraged
Generalization - Answer- extending the findings from the sample under study to the
larger population
Inappropriate generalization - samples cannot be generalized beyond their sampling
criteria. Leading to inappropriate generalizations because of language, reading ability,
other types of illnesses or injuries
Random variation - Answer- expected difference in values that occurs when different
subjects from same sample are examined
Refusal Rate - Answer- percentage of subjects who declined to participate in the study
· E.g.: 80 subjects approached and 4 refused, so 4/80=0.05 = 5% refusal rate
Acceptance Rate - Answer- percentage of subjects who consented to be in the study.
· E.g.: 80 subjects approached and 76 accepted, so 76/80=0.95 = 95% acceptance rate
Sample attrition - Answer- withdrawal or loss of subjects from a study. Attrition rate =
number of subjects withdrawing/number of study subjects X100
Sample retention - Answer- number of subjects who remain in and complete the study
Effect size - Answer- the effect is the presence of the phenomenon being studied, is
extent to which the null hypothesis is false. Increasing the sample size increases the
effect size
Power analysis - Answer- ability to detect differences in the population. Or capacity to
correctly reject a null hypothesis
Research Variables - Answer- specific factors altered and measured during research
The benefits of buying summaries with Stuvia:
Guaranteed quality through customer reviews
Stuvia customers have reviewed more than 700,000 summaries. This how you know that you are buying the best documents.
Quick and easy check-out
You can quickly pay through credit card or Stuvia-credit for the summaries. There is no membership needed.
Focus on what matters
Your fellow students write the study notes themselves, which is why the documents are always reliable and up-to-date. This ensures you quickly get to the core!
Frequently asked questions
What do I get when I buy this document?
You get a PDF, available immediately after your purchase. The purchased document is accessible anytime, anywhere and indefinitely through your profile.
Satisfaction guarantee: how does it work?
Our satisfaction guarantee ensures that you always find a study document that suits you well. You fill out a form, and our customer service team takes care of the rest.
Who am I buying these notes from?
Stuvia is a marketplace, so you are not buying this document from us, but from seller Scholarsstudyguide. Stuvia facilitates payment to the seller.
Will I be stuck with a subscription?
No, you only buy these notes for $12.99. You're not tied to anything after your purchase.
