BRM weeks 7&8
Baselines - ANS-control; absence of the control we are studying; but does not mean no
treatment.
Types of baseline patterns - ANS-stable; variable; ascending; descending
Baseline logic and how we demonstrate
experimental control and internal validity within our studies. - ANS-We use our
baseline to compare the performance with and without the intervention in
place. In applied settings, the baselines are great because it allows us to show
experimentally that there is a need for the intervention.
baseline logic - ANS-the way that we demonstrate that we have experimental
control, that our internal validity is found, and that we can actually make
statements about whether or not interventions were successful.
Stable baseline - ANS-most desirable; context to look against and make causal argument that
IV is effecting DV
Baseline logic: prediction - ANS-anticipated outcomes in single case design; using trend, level
and variability of data to predict the next point
affirmation of the consequences - ANS-The idea is that we want to see that when the
intervention is put into place, the data look different than what our visual line
would have been.Basically, we want to predict what the data would have
looked like without the intervention in place and then when we put the
intervention in place and see data that are different from that original
prediction.
Baseline logic: verification - ANS-we're going to demonstrate that the data would have gone
unchanged, if the intervention had not been put into place. The idea here is that after we've
introduced the intervention we see that the data is different from our initial prediction.
We are going to re-implement a baseline.
Baseline logis: replication - ANS-repeating effects of IV; increases internal validity- less likely
that a confounding variable caused change ABAB
AB designs/ case study/ accountability - ANS-can only tell prediction and affirmation of the
consequent but no replications, can't show experimental control.
Baselines - ANS-control; absence of the control we are studying; but does not mean no
treatment.
Types of baseline patterns - ANS-stable; variable; ascending; descending
Baseline logic and how we demonstrate
experimental control and internal validity within our studies. - ANS-We use our
baseline to compare the performance with and without the intervention in
place. In applied settings, the baselines are great because it allows us to show
experimentally that there is a need for the intervention.
baseline logic - ANS-the way that we demonstrate that we have experimental
control, that our internal validity is found, and that we can actually make
statements about whether or not interventions were successful.
Stable baseline - ANS-most desirable; context to look against and make causal argument that
IV is effecting DV
Baseline logic: prediction - ANS-anticipated outcomes in single case design; using trend, level
and variability of data to predict the next point
affirmation of the consequences - ANS-The idea is that we want to see that when the
intervention is put into place, the data look different than what our visual line
would have been.Basically, we want to predict what the data would have
looked like without the intervention in place and then when we put the
intervention in place and see data that are different from that original
prediction.
Baseline logic: verification - ANS-we're going to demonstrate that the data would have gone
unchanged, if the intervention had not been put into place. The idea here is that after we've
introduced the intervention we see that the data is different from our initial prediction.
We are going to re-implement a baseline.
Baseline logis: replication - ANS-repeating effects of IV; increases internal validity- less likely
that a confounding variable caused change ABAB
AB designs/ case study/ accountability - ANS-can only tell prediction and affirmation of the
consequent but no replications, can't show experimental control.
