Chapter 2 Flashcards
Observational Approaches
Collecting information without asking participants for it directly.
Direct observation:
outward behavior is recorded by trained observers. Biological variables can also be observed via technologically advanced methods
biological observation is done thru…
–Brain imaging (fMRI), Transcranial magnetic stimulation (TMS)
Reactivity
Reactivity is when people respond they way they think you want them to instead of being honest
Dishonesty might be bc of social discomfort or wanting to look better etc, someone might not be self aware…
Concern with self report methods
Case Studies
Detailed accounts of individual patient behavior
Based on observation
subject to bias, Conclusions have low generalizability.
Can provide insights into unusual/rare clinical conditions and serve as a stimulus for research
how is researcher bias generated in case studies:
writer decides what to include and omit. •
purpose of experimental research
Experimental research allows researchers to draw conclusions about causality and resolve questions of directionality
Scientists control all factors except IV
Actively manipulate IV
If DV changes as IV changes, it is regarded as cause of outcome
Standard treatment comparison study
alternative in which two (or more) treatments are compared in differing yet comparable groups
Double-blind study:
neither the subjects nor the experimenters know who is in the control group
Placebo treatment:
participants are given a treatment with no effect
Whom should researchers include in a study?
This is sampling. Study group should mirror underlying population in all important ways, or the study won’t be generalizable to the population. Large, randomly selected groups are ideal; erroneous conclusions can emerge from faulty sampling
Sampling:
the careful selection of people representative of a much larger group (a subgroup) for close study.
Sampling bias
Finding participants can be difficult
Research often uses samples of convenience (easily accessible subjects)
Creates bias bc those people were more likely to be selected
Effect size
reflects the size of the association between two variables independent of the sample size.
Effect size = 0 means there is no association between the variables.
/strength of the effect
Statistical vs. Clinical significance
ie a treatment can be statistically significant (ie ALWAYS makes a difference) but that difference might be tiny and changes based on sample size. isn’t important/enough/won’t make a difference in clinical world
So re effect size there can be a statistical difference: it makes a difference, there is an effect, the likelihood of that event happening by chance is close to nil
But it’s not clinically significant, not a large effect size (example: a medication that ALWAYS lowers blood pressure (ie statistically proven to lower blood pressure)) but only lowers it by .01%)