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Quasi-experiments
similar to true experiments, researchers select an independent variable and a dependent variable; then they study participants who are exposed to each level of the independent variable. but in Quasi, the experimenters do not have full experimental control.
Nonequivalent control group design
a quasi-experimetnal study that has at least one treatment group and one comparison group, but participants have not been randomly assigned to the two groups. - different participants at each level of the independent variable.
two examples of nonequivalent control group design
- head start study - staywell program
Interrupted time-series design
a quasi-experimental study that measures people repeatedly on a dependent variable before, during, and after the "interruption" caused by some event. - ex. job burn out (vacation/interrupt)
nonequivalent groups interrupted time-series design
combines two of the previous designs (nonequivalent and interrupted time) Independent variable was studies both as a repeated-measures variable and as an independent-groups variable. And the researchers do not have experimental control over the manipulation of the independent variable or …
Selection Effects/ Selection Threats
-applies when the groups at the various levels of an independent variable contain different types of participants. - Not clear whether it was the independent variable of the different types of participants in each group that led to a difference in the dependent variable between groups.
Maturation Threat
- Occurs when there is a pretest and posttest, a treatment group shows an improvement over time, but it is not clear whether the improvement was caused by the treatment or whether the group would have improved spontaneously, even w/o treatment. - comparison groups help, and these effects…
History Threat
- Occurs when an external, historical event happens for everyone in a study at the same time as the treatment variable. - It is unclear whether the outcome is caused by the treatment or by the common, external event. - Comparison groups help
selection-history threat
because the history threat applies to only one group, not the other. Historical event systematically affects the subjects only in the treatment group or only in the comparison group- not in both.
Regression to the mean
- occurs when an extreme score is caused by a combination of random factors that are unlikely to happen in the same combination again, so the extreme score gets less extreme over time. - Extreme score was a combination of random factors that did not repeat itself in the next game, so sco…
Attrition Threat
- applies when people drop out of a study for some systematic reason. - Occurs mainly in designs with pretest and posttest. - include in final analysis who completed entire study and who dropped out
Testing and Instrumentation Threats
- whenever researchers measure participants more than once, they need to be concerned about testing threats to internal validity. - testing threat is a kind of order effect in which participants- whether students, animals, or anyone else- tends to change as a result of having been tested…
Three effects related to human subjectivity
- observer bias - experimental demand - placebo effect
observer bias
(threat to construct and internal) happens when the experimenters' expectations influence their interpretation of the results. - blind experiments help this
experimental demand
when participants guess what the study is about and change their behavior in the expected direction. - could they detect the study's purpose?!
Placebo effect
when participants improve, but only because they believe they are receiving an effective treatment. - use comparison group with treatment vs. control vs. placebo
small N design
instead of gathering a little information from a larger sample, they obtain a lot of information from just a few cases.
single N design
when researchers restrict their study to only one animal or one person. - chart in notes
stable-baseline designs
a study in which a researcher observes behavior for an extended baseline period before beginning a treatment or other intervention; if behavior during the baseline is stable, the researcher is more certain of the treatment's effectiveness. - ex. ms. S and the memory test
Multiple-baseline design
researcher-practitioners stagger their introduction of an intervention across a variety of contexts, times, or situations. - ex. 12 yr old with hair touching, then face, then grabbing. all a diff times
reversal design
a researcher also observers a problem behavior both with and without treatment. but in a reversal design, the practitioner takes the treatment away for a while (reversal) to see whether the problem behavior returns (reverses)

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