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PSY 2120

QuestionAnswer
Reliability how consistent the results of a measure are
Validity how well the measure actually measures what its trying to measure
Test-retest reliability consistent scores each time the measure is used
Interrater reliability consistent scores no matter who does the measuring
Internal reliability a participant provides a consistent pattern of responses
What number must r approach to be considered strong 1 or -1
Face validity it looks like what you want to measure
Content validity the measure contains all the parts that your theory says it should contain
Criterion validity does it correlate with key behaviors
Convergent validity a measure should correlate strongly with other measures of the same construction
Discriminate validity a measure should correlate less strongly with measures of different constructs
Predictive validity the extent to which a test or measurement can accurately predict a future outcome
Concurrent validity the degree to which a test correlates with established measures of the same construct
Leading questions can lead respondents to a certain response
Double-barreled questions asking two questions in one
Negatively worded questions using double negatives
Question order earlier items can influence has respondents interpret later items
Open-ended questions can get specific responses, but more likely to skip and they take more time
Forced-choice questions data can be run quickly. but can be missing an option
Likert scale collects more data than forced choice, but people are likely to pick the midpoint
Observer bias when observers see what they expect to see
Ways to control for observer bias masked design where observers do not know the conditions the participants have been assigned, and they are not aware of what the study is about
Observer effect when participants confirm observer expectations
Ways to control for observer effect reduce reactivity by using a two-way mirror, period before coding to allow participants to get used to the researcher being there, observing behavior results
Population the entire set of people or things in which you are interested
Sample the smaller set of people or things that is taken from the population
Convenience sampling sampling those who are easy to contact
Self-selection sampling sampling those who volunteer
Purposive sampling when you want to study certain kinds of people, so you only recruit those kinds of people
Snowball sampling participants are asked to recommend other participants for the study
Quota sampling identifying subsets of the population and setting a target number for each category to include in your sample
Simple random sampling putting every member of the populations name into a pull and randomly selecting a predetermined number of names
Multistage sampling a random sample of clusters is taken from your population of interest, from those selected clusters, a random sample of people is chosen
Cluster sampling clusters of participants within a population are randomly selected, and then all individuals in a selected cluster are used
Stratified random sampling selecting specific demographic categories and then randomly selecting individuals from each of those categories
Oversampling a variation of stratified random sampling in which a researcher over represents one or more groups
Systematic sampling randomly selecting every Xth participant from a sampling frame
Moderator the relationship between variables changes depending on another variable
Created by: erindineen
 

 



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