Research Methods Final
Published data/ statistics
A) Public agency records
B) Non public agency record
C) New data
A
Many different uses
A) Public agency records
B) New data
A
Readily available
A) Published statistics
B) New data
A
Often in aggregate form
A) Published statistics
B) New data
A
Aggregated data, so we can not make assumptions about individuals
A) Published statistics
B) New data
A
Still have to consider reliability and validity
A) Published statistics
B) New data
A
Less expensive
A) Published statistics
B) New data
B
More control than previous methods
A) Published statistics
B) New data
B
Cooperation required
A) Published statistics
B) New data
B
Limited control
A) Published statistics
B) New data
B
Remember not everyone is into your research and may not want to work extra just for your sake
A) Published statistics
B) New data
B
Visible, surface content
A) Manifest
B) Latent
A
More objective
A) Manifest
B) Latent
A
Very reliable
A) Manifest
B) Latent
A
Ex: A Count of something
A) Manifest
B) Latent
A
Underlying meaning
A) Manifest
B) Latent
B
More subjective
A) Manifest
B) Latent
B
Interpretation of text or a photo
A) Manifest
B) Latent
B
Looking again at something previously coded
A) Test-retest
B) Interrater reliability
A
Coefficients can tell us how much agreement there was
A) Test-retest
B) Interrater reliability
B
use of social science research procedures to help officials evaluate alternative actions, choose among them, and formulate routine practices for implementing policy
A) problem analysis
B) process evaluation
A
uses social science research procedures to systematically assess the implementation and effectiveness of social intervention programs
A) problem analysis
B) process evaluation
B
Implementation
A) Output
B) Impact
A
Evaluation
A) Output
B) Impact
B
Actually produced
A) Output
B) Impact
A
What a policy is trying to achieve
A) Output
B) Impact
B
Shows us that two variables are indeed related or associated; not just due to chance
A) Statistical significance
B) Chi Square
A
Based on null hypothesis; compares what you have with what you expect
A) Statistical significance
B) Chi Square
B
T/F: Higher chi squares are better
A) True
B) False
A
Less than 1% you can _______ the null hypothesis
A) Reject
B) Accept
A