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What are the three main categories of research?
1. experimental
2. exploratory
3. descriptive
experimental type of research def
How well are the variables controlled?
exploratory type of research def
How do these variables relate to each other?
descriptive research type def
What does this observed phenomenon mean?
What is the highest and lowest levels of hierarchy of evidence?
highest: level 1a - SR/MA of RCT's
lowest: level 5 - clinical experience, expert opinion, mechanism-based reasoning
Why is level 1a high on the hierarchy of evidence?
because there is a lot of controls
Should a PT continue a treatment that aligns with a patient's values and our expertise and seems effective, even if there is no evidence to support it?
Yes, because the treatment hasn't been shown to cause harm
What are the three principles of ethics?
respect for persons
beneficence
justice
respect for persons (principles of ethics) def
informed consent
autonomy, protection of vulnerable populations
Who are vulnerable populations with respect to persons?
children, older people, inmates, pregnant women
beneficence (principle of ethics) def
that the benefits for the patient outweigh the risks
justice (principles of ethics) def
fairness in the distribution of benefits/burdens
outcome of the nuremberg code in 1949
first formal guidelines
voluntary consent to participate
outcome of the declaration of helsinki in 1964
independent review of protocols
outcome of the national research act of 1974
institutional review board (IRB)
outcome of the belmont report in 1979
the common rule
What does the common rule include?
respect for persons
beneficence
justice
What are the 4 levels of measurement?
nominal, ordinal, interval, ratio
probability def in sampling methods
An element of random chance, someone can be selected
What are the 2 outcomes in probability?
improve the generalizability of the results
less feasible (harder to recruit but better for results)
Nonprobability in sampling methods
no element of random chance
What are the 2 outcomes in nonprobability?
limited generalizability (population can be over-represented)
more feasible
Example of simple random sampling
flipping a coin or spinning a wheel
Example of systematic sampling
started randomly, but they have a system
ex: start randomly, but they pick every 6th person
Example of stratified sampling
people are divided by trait rather than randomly picked
Example of convenience sampling
picking people that are convient to you
When do you use stratified or quota sampling?
When you want the representation of a subgroup
When do you use cluster sampling?
when the population is geographically dispersed
When do you use purposive sampling?
when you need specific characteristics
When do you use a convenience sample?
When you want to recruit everyone eligible as they arrive
what is operational definitions?
how you turn an idea/concept into something you can measure
multi-factor vs multi-variant
multi-factor has 2 or more INdependent variables
multi-variant has 2 or more DEpendent variables
simple def of reliability
getting similar results when nothing has changed
intra-rater reliability def
same person measuring the same thing at different points in time
inter-rater reliability def
different people measuring the same thing at the same time
What is relative reliability
consistency of individual scores relative to each other
What are examples of relative reliability?
intra-rater, inter-rater, test-retest, internal consistency
What do we use to measure relative reliability?
measure with ICC/Kappa, and Cronbach's alpha
Does relative reliability quantify how much a score will vary for an individual?
NO
What is absolute reliability?
the consistency of an individual score, regardless of how it compares to other scores
What are examples of absolute reliability?
standard error of measurement
ties to MDC
Do reliability coefficients have units?
No - they are useless
In the equation rxx = true score variability/true score variability + error variability, what does the top mean?
The difference between individuals
In the equation rxx = true score variability /(true score variability + error variability), what does the bottom term mean?
difference within individuals
When error makes up a large part of the true score variability, what happens to the reliability?
It deflates the reliability
Does rxx become larger when the true variance increases?
Yes, as long as the error is held constant
Can an outcome measure be very reliable but not responsive?
yes but it isn't very common
MDC def
value at which the observed change is NOT measurement error
What is minimal detectable change (MDC)?
When the change is real but not clinically meaningful
What is the minimal clinically important difference (MCID)
when the change is real and clinically significant
MCID def
The ability of an instrument to detect minimally important change
What is the relationship between internal consistency and split-half reliability?
Slip-half reliability is a measure of internal consistency
simple definition of validity
when the measurement is right (or compared to the gold standard)
difference between reliability and validity?
Reliability = consistency of a measurement
validity = alignment of the measurement with a targeted construct
What is face validity?
When an instrument appears to test what it is intended to test,
It is judged by the users of a test after the test is developed
Face validity is judged by those who _____ the instrument
USE
What are the 3 C's of validity?
contect
construct
criterion-related
What does construct validity look at?
If measurements represent the concept
What is content validity used for
usually in questionnaire development
Content validity is judged by those who ____ the instrument
DEVELOP
What is the similarity between face validity and content validity?
There are no statistics to measure either type of validity
Criterion-related validity def
Can the outcomes of the instrument or index test be substituted for an established gold standard
What are the 2 types of criterion-related validity?
concurrent and predictive validity
concurrent validity def
Scores from a new measure correlate with scores from a well-established measure administered AT THE SAME TIME
predictive validity def
establishes that the outcome of the target test can be used to predict a future criterion score or outcome
Construct validity def
reflects the ability of an instrument to measure the theoretical dimensions of a construct
What are the 3 types of construct validity?
known-group method
convergence
divergence
What does the known-group method test?
tests if the results differ between 2 groups that are known to be different
What does convergence show
If there is a correlation between 2 constructs
What does divergence show?
show that there isn't a correlation between 2 constructs
What mistakes are made when researchers interpret validity evidence
1. treating it as "all or none"
2. assuming reliability also implies validity
3. confusing a strong correlation as "proof"
4. Overgeneralizing weak evidence
Can reliability and validity change over time
yes
How does reliability change over time
Raters become trained, equipment wears out, and testing procedures change
How does validity change over time
new evidence can emerge that shows the measurement behaves differently than expect, or clinical practice evolves
What are the characteristics of a true experimental design?
1. The independent variable is manipulated by the experimenter
2. Include a control or comparison group
3. Participants are randomly assigned to groups
What is external validity?
What can you do with the results outside the study
What is internal validity?
What happens inside the study to affect the causal relationship
What are threats to internal validity?
testing
instrumentation
maturation
history
selection
regression to the mean
What is random sampling
How do we obtain the people participating in the study
What is random assignment?
How we form our groups in our study
What is concealed allocation?
not knowing which group someone is assigned to when eligibility is determined
What is random assignment (in relation to concealed allocation)
not knowing which group someone will be in when determining intervention