Internal/External Validity Flashcards
list the 5 subcategories of external validity
1) population validity (generalizability of a study’s results to other people in the pop from which subjects were drawn)
2) ecological validity: generalizability of results to other settings/environments, esp. real-world settings (e.g., clinical practice)
3) temporal validity: generalizability of results across time
4) treatment validity: generalizability of results to variations of the treatment (independent variable)
5) outcome validity: generalizability of results to different but related dependent variables
list 7 threats to internal validity
1) history
2) maturation
3) differential selection
4) statistical regression
5) testing
6) instrumentation
7) differential attribution
best way to control history threats to internal validity when its due to events that occur outside of the study’s context
include more than 1 group & randomly assign participants to the different groups (participants in all groups should be affected by history to the same extent)
this threat to internal validity refers to the physical, cognitive, & emotional changes that occur within subjects during the course of the study and are due to the passage of time & affect the study’s results
maturation
best way to control maturation threats to internal validity
include more than 1 group in the study & randomly assign participants to the different groups (participants in all groups should experience similar maturational effects & any difference between groups at the end of the study will not be due to maturation)
this type of threat to internal validity occurs when groups differ at the beginning of the study due to the way they were assigned to groups & this difference affects the study’s results
differential selection
**Differential selection is a misnomer because it actually refers to differential assignment of subjects to treatment groups. **
best way to control differential selection threats to internal validity
randomly assign participants to groups so the groups are similar at the start of the study
best way to control statistical regression threat to internal validity
not including extreme scorers or have more than 1 group & ensure the groups are equivalent in terms of extreme scoreres at beginning of study
this type of threat to internal validity refers to participants selected for inclusion in the study because of their extreme scores on a pretest and occurs because many characteristics are not entirely stable over time & many measuring instruments are not perfectly reliable
statistical regression threat
this type of threat to internal validity occurs when taking a pretest and affects how participants respond to the posttest
testing
best way to control testing threats to internal validity
not administering a pretest or using the Solomon four-group design
**The Solomon four-group design is used to identify the effects of pretesting on a study’s internal and external validity. When using this design, the study includes four groups that allow the researcher to evaluate (a) the effects of pretesting on the independent variable by comparing two groups that are both exposed to the independent variable, with only one group taking the pretest and (b) the effects of pretesting on the dependent variable by comparing two groups that are not exposed to the independent variable, with one group taking the pre- and posttests and the other taking the posttest only. **
this type of threat to internal validity occurs when participants drop out of group for different reasons than participants in other groups do and, as a result, the composition of the group is altered in a way that affects the study’s results
differential attrition
best way to control differential attrition threats to internal validity
attrition is difficult to control because researchers often don’t have the information needed to determine how participants who drop out of a study differ from those who remain
this type of threat to internal validity occurs when the instrument used to measure the dependent variable changes over time
instrumentation
(e.g., raters may become more accurate at rating participants over the course of the study)