Term
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Definition
A. definitions of correlations
b. difference between cause and reason
c. obtaining causation
d. useless of correlations
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Term
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Definition
Find general rules
Collects objective evidence
Makes testable statements
Adopts a skeptical, questioning attitude about all claims
Remains open-minded about new claims
Is creative
Is public
Is productive
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Term
| headers for linking with science |
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Definition
a. collects objective evidence and testable statements
b. creative and pub and production
c. skeptical
d. preconcieved notions
e. undisprovable theories in the past |
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Term
| preconceived notions of psychology |
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Definition
cannot generate general rules
cannot always collect objective evidence
no always skeptical
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Term
| headers for research from questions to hypothesis |
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Definition
a. definitions of research problems, questions, and hypothesis
b. identifying research problem
c. background research
d. talking with experts
e. defining the hypothesis |
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Term
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Definition
be critical of previous research
– Replication
– Generalize to new materials/situations
– Suggested by authors (“X really needs further investigation”)
– Internal validity (two possible explanations)
– Better measurement tool |
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Term
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Definition
Good theories makes predictions, can be tested, and provoke you to see if they are true
Regardless of the original source of the idea, want to tie your thinking to a theory |
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Term
| identifying research problem |
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Definition
Fine to start with general question
thinking about the variables that ill be involved
Pg. 46 |
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Term
| definitions of correlations |
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Definition
variable increase while one either increases or decreases
when controlled, can look for cause and effect
they are only at surface level, only viewing a relationship
causal inferences
but this isn't a black or white situation, correlations can help with our understanding |
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Term
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Definition
reason is the source why something happens
cause is a factor in something happening |
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Term
| obtain causation within an experiment headers |
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Definition
only disprove as you would need complete control
showing causilty is an experimental issue
statistical meaning |
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Term
| complete control in causation |
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Definition
in disproving a causation, you are only eliminating one possible outcome as a different explanation
helpful in that it pulls other theories out of the running
despite that some view this as logical, this is still taking a leap of fauth |
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Term
| statistics of correlation |
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Definition
correlation shouldn't be addressed through statistics
once there is meaning behind the statistics, can be used as evidence that there is a causal link between the data
this can be the problem with with post-hoc data |
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