Chapter 11 Flashcards

Single case, Quasi, and Developmental

1
Q

Who believed that single case designs were the only way to run a study?

A

B.F. Skinner

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2
Q

When do we use single case designs?

A
  • Medical studies
  • rare infrequent disorders
  • most are used as a baseline followed by a treatmnet phase
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3
Q

How do you determine if your treatment works in a one case design? (insuring validity of your observations).

A

1) systematically collect data
2) run the test more than once.
3) projections of performance
4) observe just before behavior changes and just after behavior changes (timing is everything).
5) add a follow up.

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4
Q

What design do you need to assess a whole program.

A

Constructive/Destructive Design

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5
Q

what’s a program

A

lots of records over a long period of time for a treatment.

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6
Q

What is a destructive design?

A

taking out parts of the program to see how they do.

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7
Q

What is a Constructive design?

A

Adding more parts to the program one by one.

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8
Q

Phases of program evaluation( the assessors)

A

1) why do we need it and who is it for (needs assessment)
2) Why do we think this program works (Program theory Assessment).
3) Follow a patient through the type of therapy or treatment the program is doing (process theory assessment).
4) How did the program do at helping people (Outcome Evaluation).
5) Cost vs Benefit (Efficiency Assessment)

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9
Q

Clinical vs Statistical Significance

A

Just because it isnt statistically significant doesnt mean it isnt significant at all. (ex; if you cure 2% of all the cancer patient in the country that is important!).

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10
Q

Normative Sample

A

A sample in which we already know the population norm. (mean=100 and a SD of 15) you can know immediately in your measures are off.

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11
Q

Continuous Assessment

A

You have someone doing something and continually measuring their behavior. (this is a bad idea in psychology because they spend more time answering questions than learning how to utilize what they are learning.

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12
Q

Chi-Square

A

Finding a relationship between two categories of data.
Comparing what we expect to see with what we actually observe.
If the difference is big enough, it suggests that the two categories are related, not just by chance.

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13
Q

odds ratio

A

the odds that an event will happen in one group versus same event happening in another group.

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14
Q

how do you read odds ratio?

A

1=no association between variables
>1= More likely that the event will happen in one group than another
<1= It is less likely that the event will occur in the first group than the second.

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15
Q

Relative Risk Analysis

A

1=There is no difference in risk between the two groups.
>1=the exposed group has a higher risk of the outcome compared to the unexposed group. <1=the exposed group has a lower risk of the outcome compared to the unexposed group.

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16
Q

Baseline control period

A

In a single case experimental design it is when the subject’s behavior is measured over time for a while before the experiment.

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17
Q

A change in the subject’s behavior from the baseline to treatment periods is evidence for what?

A

effectiveness of the manipulation.

18
Q

Interrupted time series design

A

when you test and analyze multiple times.

19
Q

Multiple baseline design

A

when you have two groups with the same baseline of behavior and you only provide the treatment to one, to make sure that there are no other possibilities of the experiments success.

19
Q

multiple baseline across subjects

A

the behavior of several subjects is measured over time but for each subject the manipulation is introduced at a different point in time.

20
Q

multiple baselines across behaviors

A

different behaviors of the same subject are measured over time, then at different times the same manipulation is applied to each behavior.

21
Q

example of multiple baseline across behaviors:

A

a reward system is applied to each behavior at different times. When a behavior increased when the reward system was applied that would be evidence for the effectiveness of manipulation.

22
Q

multiple baselines across situations

A

behavior is measured in different situations. The manipulation is introduced at different times in each setting and the change of behavior must only occur after manipulation.

23
Q

Nonequivalent control group design:

A

The control group is not equivalent to the manipulated group

24
Q

Case control

A

when doing a case study you have someone with similar issues as your case study participant be your control “group”

25
Q

Control series design

A

comparing between a group that gets the intervention and a similar group that doesn’t.

26
Q

single subjects designs (B.F. SKinner)

A

just a case study.

27
Q

one group posttest only design

A

a one shot case study

28
Q

one group pretest-posttest design.

A

Measuring the participant before and after manipulation

29
Q

What is an example of a one-group pretest-posttest design?

A

Selecting a group of people who smoke and measure the smoking and then input the manipulation (training program) and the measure the impact of the manipulation on the smoking levels.

30
Q

what is the threat to internal validity “history”

A

Any event that occurs between the first and second measurement but is not part of the manipulation. Any event like this is a confound with the manipulation

31
Q

Maturation effects

A

An example is that people get generally more concerned about health the older they get so that may be a maturation effect in, for example, in a smoking experiment as individuals develop importance of health.

32
Q

testing effects

A

The act of being testing, example pointing attention to the amount of cigarettes that you are consuming may be enough to reduce the amount.

33
Q

propensity score matching

A

matching people on their levels of behaviors and levels of diagnostics to reduce bias and increase validity of experiment.

34
Q

Quasi-experimental design

A

not random assignment, studying the effect of an independent variable on a dependent variable.

35
Q

when do we use quasi-experimental designs?

A

when an independent variable is manipulated in a natural setting (school, business, hospital, ect.)

35
Q

Regression toward the mean (statistical regression)

A

when a participant is selected and their score is either very high or very low, if they are tested again they are likely to become closer to the mean.

35
Q

Reversal design (ABA design)

A

if A=baseline period and B=treatment period, the experiment will go ABABA

36
Q

What is the purpose of a reversal design (ABA design).

A

It demonstrates the reversibility of manipulation.

37
Q

what is an example of a reversal design?

A

measuring academic performance before and after providing academic reinforcement, then testing again to see if you remove academic performance what happens.

38
Q

testing effects

A

the act of testing creates a change in behavior.