D-experimental design

Question 1

Independent variable

Answer 1

The variable that is manipulated change, introduced or removed

Question 2

Dependent variable

Answer 2

The variable that is dependent on other factors such as the independent variable

Question 3

Confounding variables

Answer 3

Can impact the DV during the experiment. These are variables that you did not know existed and we’re not to impact the DV. Confounding variables hurt experimental control.

Question 4

Experimental control

Answer 4

The IV controls the DV. We can prove that our manipulation is changing the DV. We have experimental control in this case. 

Question 5

Internal validity

Answer 5

We are reasonably certain that changes in the DV are a result of the intervention and not other uncontrolled factors. 

Question 6

External validity

Answer 6

The result of our experiment, our generalizable to other subject, settings or behaviors.

Question 7

Individual serve as their own control

Answer 7

The results of each condition are compared to the participants own data

Question 8

Prediction

Answer 8

What do we predict the outcome gonna be?

If nothing were to change, we predict that our outcome will continue to go in that direction 

Question 9

Verification

Answer 9

Showing the baseline data would remain consistent if the IV wasn’t manipulated

Verify by doing the intervention and returning to baseline 

Question 10

Replication

Answer 10

Repeating the IV manipulation to show similar results across multiple phases 

Question 11

Reversal/withdrawal /A– B – A

Answer 11

Record a baseline introduce an IV withdraw the IV then baseline again

Advantages are demonstrating experimental control

Disadvantages are some behaviors cannot be reversed and ethical concerns

Question 12

Multiple baseline design

Answer 12

Multiple base lines are used to analyze IV effects across settings, behaviors, or participants

Advantages are no withdrawal, examine multiple DVs at a time 

Disadvantage are no experimental control demonstration 

Question 13

Multiple probe

Answer 13

Just like multiple baseline, but only certain data points are observed and measured during baseline. 
disconnected data path during baseline

Question 14

Alternating treatment design

Answer 14

Rapid and a random/semi random alternating conditions (two or more). Equal opportunity for conditions to be present during measurement.

Advantages no withdrawal multiple DV rapidly

Disadvantages carryover between alternating DV can impact measurement 

Question 15

Changing criterion design

Answer 15

After baseline treatment is delivered in series of ascending or descending phases, meant to increase or decrease behavior already and learners repertoire 

Question 16

Comparative analysis

Answer 16

Comparing two different types of treatments

Ex. Comparing DRO to DRA.

Question 17

Component analysis

Answer 17

Analyzing what part of the treatment package is impacting the behavior change

Ex. What medicine is making the difference? 

Question 18

Drop out analysis

Answer 18

Entire treatment packages presented then components are removed systematically

Question 19

Add in analysis

Answer 19

Each component does analyze before the treatment package is delivered 

Question 20

Add in analysis

Answer 20

Each component is analyzed before the treatment package is delivered 

Question 21

Parametric analysis

Answer 21

Analyzing what value of a certain treatment is most effective

Ex. What dosage of medicine is most appropriate?

Question 22

Type I error

Answer 22

False positive. Stating the intervention worked when it did not.

Question 23

Type II error

Answer 23

False negative. Stating the intervention did not work when it did.