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The extent to which the observed effects of the independent variable on the dependent variable are real and not caused by extraneous factors |
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The ability to generalize study results to other groups and settings beyond those in the current study |
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An event occuring between pretest and posttest other than the independent variable that could affect the dependent variable
The best way a researcher can control for the history effect is to use a control group that was not exposed to the event |
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Changes occuring in participants because of passage of time
A researcher can have control over the maturation effect by using a control group |
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Taking a pretest somehow affects the taking of the posttest
The researcher can use a control group that does not receive any pretesting to reduce threats to internal validity |
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Instruments are not accurate/precise enough or do not measure what they are supposed to measure
To reduce this threat to internal validity, researchers can use well-designed instruments |
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Participants selected in a non-random manner differ in some way
To reduce selection bias, it is better to recruit volunteers and randomly assign them to groups instead of allowing the volunteers to self-select a group. Also, matching participants on selected characteristics and then randomly assigning them to groups can also reduce selection bias. Pretesting groups on measures of the dependent variable to make sure there are no pretreatment differences between groups is another control. |
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Using intact groups that vary in some element of maturity
To avoid this threat to internal validity, the researcher can pretest or prescreen groups on maturity levels |
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Extremely high or extremely low scores regress toward mean
To reduce this, the researcher could follow a random sample representing the full range of scores rather than placing participants in high and low groups based on one testing |
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Participants drop out of the study or cannot be located
Obtaining good demographic information about study participants at the beginning of the study and then determing if the group makeup has changed at the end of the study can help measure the impact of mortality on research |
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Altered behavior due to the effects of being studied and observed
To control for this, the researcher may provide the control group with some type of special treatment that is comparable to the experimental group but would not have a direct impact on the dependent variable |
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Altered behavior because of expectations
To control for this, the researcher can make sure the control and experimental group receive the same information so that both groups would have similar expectations. |
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Treatment of experimental group spills over to comparison or control groups
To control for this, the researcher can make sure that the control and experimental groups live far away from each other and have little interaction |
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The location of program or data collection affects participation responses
The best way to control for a location effect is to make the locations the same for all participants |
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Differences in persons presenting a program affect the program
To control for this, have someone else other than the program developer present the program whenever possible |
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Selection Treatment Interaction |
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External threat to validity that concerns the ability of a researcher to generalize the results of a study beyond the groups involved in the study due to the way the study groups were selected
To control for this, the researcher should be certain that the group used is an intact group, and not generalize beyond that group |
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Setting Treatment Interaction |
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This external threat concerns the extent to which the environmental conditions or setting under which an experimental study was conducted can be duplicated in other settings
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History Treatment Interaction |
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Develops when the researcher tries to generalize findings to past and future situations |
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