Experimental design Flashcards

1
Q

purpose of measurement

A
  • quantify the presence of something (an attribute)
  • to examine difference in the degree to which an attribute is present
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2
Q

goal of measurement

A

to quantify a single isolated attribute in a standardized manner

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3
Q

instrument reliability

A

instruments are considered to be reliable when they provide consistent measures over time under the same conditions

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4
Q

data is collected…

A

via numerical data, questionnaires, scales measurement data

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5
Q

terms to look for instrument reliability

A

test-retest reliability
interrater reliability
Cronbach’s alpha >0.80

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6
Q

instrument validity

A

instruments are considered to be valid when they actually measure what they are suppose to

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7
Q

terms to look for for instrument validity

A

content validity
- asks experts to judge items on a tool
criterion-validity
- compare results with an established tool

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8
Q

sample size

A

must be sufficient to support the research purpose and design
* power analysis
- terms EFFECT SIZE

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9
Q

internal validity

A

applies to the inferences about relationships among study variables

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10
Q

threats to internal validity

A
  • homogeneous samples at baseline
  • randomizations
  • rigorous data collection (instrument reliability and validity)
  • attrition: drop out rates
  • response rate
  • large enough sample size? (power analysis)
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11
Q

external validity

A

the degree to which study findings are generalizable to other populations

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12
Q

data analysis
p-value

A

probability statistics
P-value < 0.05 means the likelihood of the results being due to chance is less than 1/20
Therefore, the effect is statistically significant and the intervention is believe to have caused the change in outcome.

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13
Q

confounding variable

A

when there is an alternative explanation for the outcome of a study that was NOT taken into account in the study design

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