Experimental Design Flashcards

1
Q

What is a clinical trial?

A

a type of research design that tests how well methods of screening, prevention, diagnosis or treatment of a disease work in people

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2
Q

What is a completely randomized research design?

A

subjects are randomly assigned to different groups and each group receives a unique intervention and the outcomes are compared at the end of the trial

a.k.a parallel groups design

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3
Q

What is a crossover design?

A

subject receives both interventions in random order separated by a period of no treatment

each subject serves as their own control

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4
Q

What is a factorial design?

A

two or more independent variables are investigated with different subjects assigned to the various combinations of levels of the independent variables

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5
Q

What is a pre-test/post-test control group design?

A

compares the outcomes of two or more groups formed by random assignment

basic format of a randomized control trial

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6
Q

What is a posttest only control group design?

A

compares the outcomes of two or more groups only after the treatment

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7
Q

What is a repeated measure design?

A

subjects are tested under all conditions and therefore each person acts as their own control

within subjects design

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8
Q

What is a sequential clinical trial?

A

data is analyzed as it becomes available so the trial can be stopped as soon as the evidence is sufficient to show a significant difference between treatments

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9
Q

What is a single subject design?

A

permits drawing conclusions about the effects of treatment based on the response of a single patient

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10
Q

What is a quasi-experimental design?

A

a type of research design without a control group,

random assignment of subjects to group, or both

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11
Q

What is the difference between single blind, double blind, and triple blind studies?

A

Single- subjects are unaware of the research hypothesis and the group to which they were assigned until the end of the study

Double: subject and certain members of the research team are unaware of the research hypothesis and the group to which each subject was assigned until the end of the study

Triple: subject, some team members, and data analyzers are unaware of the research hypothesis and the group to which each subject was assigned until the end of the study

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12
Q

What are the two main types of control groups?

A

Active Control-using a proven effective treatment as control to compare the effects of the study intervention

Placebo- inactive treatment that looks similar to the actual experimental intervention

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13
Q

What is an intention-to-treat analysis?

A

method of analysis in which all subjects in one of the treatment groups is analyzed together regardless if the received or completed that treatment to preserve the original balance of subject groups achieved through randomization

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14
Q

What is the difference between internal and external validity?

What are some threats to each?

A

External-degree in which results of a study can be generalized to the population outside of the trial group

Internal- degree in which the intervention being evaluated is the cause of the outcome measured and not the result of extraneous factors

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15
Q

What is the Hawthorne Effect?

A

an untreated subject experiences a change simply from participating in a research study and the tendency for individuals to change their behavior in response to the fact they are being observed or studied

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16
Q

What is an independent variable?

A

a variable that is presumed to have caused or influenced the dependent variable

this is what is controlled or manipulated by the researchers

17
Q

What is a dependent variable?

A

the response or outcome assumed to be caused by the effect of the independent variable

18
Q

What does the P-value measure?

What does the Alpha level measure?

A

P Value-probability that a particular statistical result could have happened by chance

A Value- significance level which is usually set at .05 or .01 which also correlates to the chance of committing a type 1 error

19
Q

What are the steps for testing a statistical hypothesis?

A

1- state null hypothesis and alternate hypothesis
2-select the appropriate test statistic
3-select the level of significance for the test (usually less than .05)
4-calculate the test statistic from the sample data
5- interpret results and compare P-Value to set A-value

20
Q

When should you reject a null hypothesis in favor of the alternate hypothesis using P and A values?

A

If the P value is less than or equal to the level of significance (A value)

If P value is greater than A value then you cannot reject the null hypothesis

21
Q

What is a Type 1 error?

What is a type 2 error?

A

Type 1- alpha error-when you wrongly decided to reject the null hypothesis and say there is a statistical difference when there is actually not (False positive)

Type 2- beta error- not rejecting the null hypothesis when you should and saying there is not a statistical difference or relationship when there actually is one (False negative)