Quasi-Experimental & Single Subject Designs

33 terms by ethansawyer 

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quasi-experiment

when the researcher can't assign participants randomly to conditions OR they are unwilling or unable to manipulate the causal variable of interest

lack of control

why do quasi-experiments have less internal validity than normal experiments?

internal validity

the degree to which a researcher draws accurate conclusions about the effects of an independent variable on participants' responses

low validity

studies lack necessary controls to draw any meaningful conclusions

high validity

studies in which the experimental design and tight control allow us to rule out every alternative explanation for the findings

external validity

to what other settings, groups, treatment variables, and measurement variables can an experimental outcome be generalized?

how to increase external validity

- move from the lab to the field
- this makes it less easy to rule out alternative explanations, though

single-group design

-BAD QUASI EXPERIMENTAL DESIGN

give a treatment and measure some behavior.

- there's NO RANDOM ASSIGNMENT!
- also, REACTIVITY

time-series design

within-subject designs -- performance of a single group is measured several times before and after introducing an experimental treatment

simple interrupted time-series design

a single group of participants in tested repeatedly before and after a manipulation or a natural event

- the multiple measures allow us to detect many confounding variables

program evaluation

research designed to assess the effects of interventions that supposed to influence behavior

practical problems with program evaluations

- the 'participants' are actually part of the program
- a no-treatment control group may raise ethical and political questions
- treatment staff may be threatened by the evaluation of irritated by the extra work load

control in program evaluation

- selecting appropriate dependent measures
- avoiding bias in the evaluation
- using strongest research design possible

single-subject design

- the unit of analysis is the individual participant
- each participant's responses are analyzed separately and the data are rarely averaged across participants
- YOU CAN'T DO INFERENTIAL STATISTICS

- the process under study is found within a single individual and can be controlled appropriately; thus a sample isn't necessary

error variance

first advantage of single-case over group designs

- much variance in group data is due to individual differences (bad variance). single-case studies can help to understand good variance

generalizability

second advantage of single-case over group designs


single-case researchers argue that group averages may not accurately portray the response of any particular individual. If so, (blank) from overall group may be mosleading

reliability

third advantage of single-case over group designs

single participant experiments replicate the effects of the independent variable

ABA (reversal) design

- measure baseline performance over one or more sessions
- give treatment over one or more sessions
- remove treatment over one or more sessions
- give treatment a second time over one or more sessions

multiple treatment (ABACA) design

- measure baseline performance (A) over one or more sessions
- give treatment B over one or more sessions
- remove treatment B over one or more sessions (go back to baseline A)
- give treatment C over one or more sessions
- - remove treatment C over one or more sessions (go back to baseline A)

will only work when you are studying the effect of treatment conditions on behaviors that return relatively quickly to baseline levels

what is the limitation of reversal designs

multiple baseline designs

- two or more behaviors are studied simultaneously
- after you get baselines on all the behaviors, an IV is introduced that is hypothesized to affect only one of the behaviors
- the selective effects of a variable on a specific behavior are then documented
- try to show that the IV caused the target behavior to change but did not affect the other behaviors (correlation would be bad)
- then repeat with the next behavior

graphs that show the results individually for each participant

what is the preferred method of presenting data from single-participant designs?

comparison group

a group that is expected to be similar but not equivalent to the experimental group (random assignment has not been used)

comparison-group design

research that uses more than one group of individuals that differ in terms of whether they have had or have not had the experience of interest

selection threats

threats to internal validity that occur because individuals select themselves into groups rather than being randomly assigned to groups

single-group before-after design

-BAD QUASI EXPERIMENTAL DESIGN

research that uses a single group of participants who are measured before and after they have had the experience of interest

- there's NO RANDOM ASSIGNMENT!
- also, REACTIVITY

retesting threats

potential threat to internal validity. whenever DV's are measured more than once, participants may be able to guess the research hypothesis.

attrition

potential threat to internal validity in longitudinal studies. students who stay in the program may be different than those who drop out

maturation threats

potential threat to internal validity. changes in participants over time but not due to the IV.

history threats

potential threat to internal validity. occur due to the influence of changes in the social climate during the course of the study.

comparison-group before-after design

research in which more than one group of individuals is studied and the dependent measure is assessed for all groups before and after the intervening event

- allows the scientist to control for some of the threats to validity that occur in before-after studies that last over a period of time

regression to the mean

a statistical artifact such that whenever the same variable is measure more than once, if the correlation between the two measures is less than r=1.00 or greater than r= -1.00, then the individuals will tend to score more toward the average score of the group on the second measure than they did on the first measure, even if nothing has changed between the two measures

participant-variable design

a research design in which one of the variables represents measured differences among the research participants, such as demographic characteristics or personality

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