Methods And Stats Flashcards
ABAB
Person is first measured over time during baseline -a
Then measured again after tx - b
Then again after tx is taken away -a
Then again after tx - b
cluster sampling
identifying naturally occurring groups or clusters (schools, counties) and then randomly selecting certain of these clusters. Typically, all subjects within the selected clusters are then sampled. Alternatively, subjects may be randomly selected from the clusters
interval recording
time sampling - equal intervals
useful when behaviors have no clear beginning or end (laughing, talking)
event sampling
event recording - observing and recording a behavior each time it occurs
useful for studying behaviors that occur infrequently, have long duration, or leave a permanent record
quasi experimental research
can’t control the assignment of subjects to a treatment group- have to use pre-existing groups
simple random sampling
every member of population has an equal chance of being included in the sample. selection of one member has no effect on selection of another member
reduces bias
stratified random sampling
when population varies in terms of “strata” or characteristics (gender)– divide by the strata and then randomly sample
cluster sampling
use simple or stratified random sampling to select clusters of individuals and then either include all individuals in selected units or randomly selecting individuals from each unit
random selection v random assignment
selection: way subjects are selected from population
assignment: assigned to different levels of IV
systematic error
error due to extraneous variables
random error
error due to random fluctuations in subjects, conditions, etc.
techniques used to control effects of extraneous variables
random assignment to treatment groups
holding extraneous variable constant
matching subjects on the extraneous variable
building the extraneous variable into the study (blocking) (adding it is as an IV)
statistical control (ANCOVA)
internal v external validity
internal: relationship between IV and DV?
external: generalizable?
variables that can threaten internal validity
- maturation
- historical events
- testing , retesting
- instrumentation - changes in measuring devices
- statistical regression - tendency of extreme scores to regress toward the mean
- selection - if assigning to diff tx groups results in diff bt the groups
- attrition
- interactions with selection (e.g. selection and history)
external validity is always limited by __; however, a high degree of __ does not guarantee external validity
internal validity
external validity is affected by these factors
- interactions bt testing and treatment (pretest sensitization)
- interactions bt selection and treatment (e.g. volunteers tend to be more motivated than non volunteers)
- reactivity - respond simply bc their behavior is being observed
- multiple treatment interference - exposing someone to one level of design affected by exposure to previous level
multiple treatment interference - controlled by using a counterbalanced design - diff subj receive levels of IV in a different order
between group design
administer each level to a different group
factorial design
includes 2 or more independent variables
within subjects (repeated measures design)
all levels of IV are administered sequentially to all subjects
single subject designs
AB, ABA, ABAB and multiple baseline design
AB design
single baseline phase (A) and single treatment phase (B)
reversal designs; benefits
ABA, ABAB (withdrawing treatment during baseline phases)
additional control over threats to internal validity
multiple baseline design
use when reversal design is unethical
applying the treatment to different behaviors of the same subject or to same subject in different settings or on different tasks (e.g., use self instruction on homework in 3 diff settings)
nominal scale
unordered categories (gender)
ordinal
ordered categories (more or less of a characteristic ; likert scale- strongly agree)
interval scale
order and equal intervals between points (scores on IQ test)
ratio scale
order, equal intervals, and absolute zero point (e.g., temperature)