CNUR209 Unit 2 Exam with Complete Solutions (Already Graded A+)
3 keer bekeken 0 keer verkocht
Vak
CNUR209 Unit 2
Instelling
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
Voordelen van het kopen van samenvattingen bij Stuvia op een rij:
Verzekerd van kwaliteit door reviews
Stuvia-klanten hebben meer dan 700.000 samenvattingen beoordeeld. Zo weet je zeker dat je de beste documenten koopt!
Snel en makkelijk kopen
Je betaalt supersnel en eenmalig met iDeal, creditcard of Stuvia-tegoed voor de samenvatting. Zonder lidmaatschap.
Focus op de essentie
Samenvattingen worden geschreven voor en door anderen. Daarom zijn de samenvattingen altijd betrouwbaar en actueel. Zo kom je snel tot de kern!
Veelgestelde vragen
Wat krijg ik als ik dit document koop?
Je krijgt een PDF, die direct beschikbaar is na je aankoop. Het gekochte document is altijd, overal en oneindig toegankelijk via je profiel.
Tevredenheidsgarantie: hoe werkt dat?
Onze tevredenheidsgarantie zorgt ervoor dat je altijd een studiedocument vindt dat goed bij je past. Je vult een formulier in en onze klantenservice regelt de rest.
Van wie koop ik deze samenvatting?
Stuvia is een marktplaats, je koop dit document dus niet van ons, maar van verkoper Scholarsstudyguide. Stuvia faciliteert de betaling aan de verkoper.
Zit ik meteen vast aan een abonnement?
Nee, je koopt alleen deze samenvatting voor €12,32. Je zit daarna nergens aan vast.
