Webnr 2 Validity in Research Flashcards
What is internal validity
A causal relationship exists between the independent and dependent variables.
Question for interval validity is “ whether the treatment(s) caused the observed changes in the independent variable”.
In other words, “are there other (extraneous) factors that may be responsible for that change?”.
THREATS TO INTERNAL VALIDITY
History Maturation Testing Instrumentation Statistical regression to the mean Assignment (subject selection) Subject attrition
Give of an example of “history” that would change the internal validity say like the one subject was receiving PT during the course of the study while others weren’t
If event is unrelated to the treatment of interest occur during the course of the study and may plausibly change the dependent variable.
Any changes in the clinic would affect.
Examples:
The hypothetical historical events which are not under researcher’s control:
Less treatment session for two weeks because of snow.
A new therapist who works manually more.
……..
They would add, change, affect the result of the study.
To minimize the effects of history:
Planning,
Use of a randomly selected control group,
Description of unavoidable historical events.
In the single subject designs:
Establishing pre-treatment baseline,
Withdrawing and reinstating treatment,
Rapidly alternating between two treatments, or between treatment and non-treatment.
Give example of Maturation aka old age that would affect the internal validity
Changes within a participant caused by the passage of time.
Participants get older, more experienced, stronger, or bored, some patients get better, or get worse by time.
Examples:
Balance deficits will change with immobilization duration.
Swelling will decrease by time if the patient rests appropriately without any intervention
To minimize effect of maturation effect wjhat are somethings to get before starting the baseline measurement
Use of a control group with random assignment.
To take multiple baseline measures of participants pre-treatment.
Stable baseline.
Treatment withdrawal or reversal.
Rapid treatment alternation.
If it is applicable, the researcher may design a study so that the total time span is not overly long
Repeated Testing is also a threat to internal validity why????
Repeated testing itself is likely to result in changes in the dependent variable.
Improvement measurements on next test because of familiarization with the testing procedure.
Examples:
Patients can get tired because of repetitive MMT without rest.
Patients can answer some questions wrong if they are exposed the survey first time because maybe they don’t understand what some questions mean.
How to get rid ot the “testing” threat don’t offer it as much duh!!! that way the patients can’t bullshit the answers.
Randomly selected experimental and control groups
Use of posttest-only design ???
Use of familiarization sessions with testing personnel or equipment, a pilot study for stable performance
How is “instrumentation” a threat to the internal validity. Think like what if the instrument wears down.
When changes in measuring tools themselves are responsible for observed changes in the dependent variable.
Many tools requires calibration.
Apply a mathematical correction factor.
Researchers can be measuring tool.
Examples:
Hand-held dynamometer calibration after every 10 or 20 subjects?
Untrained evaluator.
Statistical regression how is this a threat to internal validity.
It is associated with reliability of a test. If participants are selected based on extreme scores on a single administration of a test.
This events occurs even in the absence of intervention.
Extremely high scores tend to decrease, extremely low scores tend to increase, and scores that fall around the average tend to stay the same.
Example:
Differential effects of a specific exercise on weaker and stronger patients.
Assignment (Subject selection) how to make better subjects the only thing I got out of this slide is that the subjects should be randomized whoop de fucking doo
Groups of participants are different from one another on some variable that is related to the dependent variable.
Control of assignment threats is most effectively accomplished through random assignment to groups within a study.
Examples:
Different ratio of literacy for survey study.
Two groups with different mean age on balance
study.
How is subject attrition aka “drop out” rates affect the internal validity????
The participants are lost from the different study groups at different rates or for different reasons.
Examples:
Starting with 5 patients for two groups and ending with 5 and 2 participants because of less motivated participants were in the second group .
To minimize “subject attrition” how would you does this think maybe test subjects only on one day.
Planning to minimize possible attrition.
Collecting information about the lost participants and about the reasons for the loss of participants.
Testing and treating on a single day.
Making adherence as easy as possible.
No problem if dropouts are equal in both groups
The Hawthorne Effect what is it and how to deal with it. I would just not tell the patients what they are being measured on!!!! hidden cameras to see how they act when they are not being observed.
Change in research participant behavior is due to the fact that they know they are being observed.
Example:
Working harder than usual because the researcher watches the subject
Giving exaggerated answers for pain since the subject think they can get more therapy session.
You can avoid this problem by using non-reactive measures. For example, measure the DV in such a way that participants do not know what’s being measured, or perhaps even that they are being observed (one way mirrors, hidden cameras, ..)
What is construct validity?????? (think like does the instrument measure what it is really measuring???
Concerns with the meaning of variables within a study.
Is a issue for all research study.
Whether the researcher is studying a “construct labeled” or a “construct as implemented”.
Example:
Active shoulder range of measurement for shoulder function:
Construct as implemented: AROM
Construct as labeled: Function