Sampling

Beschreibung

(Psychology Research Methods) Karteikarten am Sampling, erstellt von cjjstone am 07/05/2014.
cjjstone
Karteikarten von cjjstone, aktualisiert more than 1 year ago
cjjstone
Erstellt von cjjstone vor mehr als 10 Jahre
32
0

Zusammenfassung der Ressource

Frage Antworten
Sampling Who is going to participate
Issue of external validity? To what degree can one generalise the findings from sample to population?
Representative It is important that the Sample be Representative of the Population
Sampling Frame The actual part of the population from which I draw my sample
Sample The subset of the sampling frame from which I obtain data
Probability Sampling Expensive, time consuming, better than non-probability sampling
Single Random Sampling Every person in the population has an equal chance of being sampled. From a list of all members, but sometimes some members are not included, e.g., home school children.
Stratified Random Sampling Divide population along dimensions (e.g., gender) and be sure that you sample sufficiently across these dimensions. Can Oversample for important dimensions, e.g., ethnicity
Cluster Sampling Obtain participants fom pre-existing groups or clusters. E.g., Children from NZ schools
Non-probability Sampling Cheap, easier, but not representative
Haphazard Sampling Convenience sampling, handy for the researcher, but biases are introduced.
Quota Sampling Obtain appropriate percentages of different types of participants (e.g., gender, etc.), but one is still obtaining these participants from readily available sources so not representative but more so. Also introduces biases
Purposive Sampling You select individuals who fit within a particular category to fit a purpose. E.g., testing/sampling from people who have previously had depression
Most common and why? Most psychologists use haphazard non-probability sampling. They only want to explore the relationships between variables. It is much cheaper
Biases If sample frame is hetrogeneous with population then biases are introduced. It is non-representative
Creative approaches to collecting data and encouraging compliance Passive consent (please tell us if you don't want to participate), but this can be controversial. Compensation and Inducements. Interesting ways to collect data; laptops; internet; Ipads. The "personal touch" using interviews (time consuming, expensive). Underutilised Samples (kids in Camps, kids in malls)
Zusammenfassung anzeigen Zusammenfassung ausblenden

ähnlicher Inhalt

SAMPLING
Elliot O'Leary
Ecosystems
gordonbrad
Sampling - Advantages and Disadvantages
Robyn Chamberlain
Biology B2.2 Organisms in the environment
Corey Meehan
INVESTIGATIONS
barkerjames14
Evaluate Statistical Reports
serena_terehu
The Environment
Kit Sinclair
SAMPLING SCLY2
ashiana121
Sampling
Caitlyn Grayston
Representing sound
Armando Cotugno
Sampling Techniques In Data Science
Vishakha Achmare