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Between-subjects and within-subjects components are both included in a(n) design. |
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If you need to test participants in large groups, a(n) design can be useful. |
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A correlational variable (for example, gender) you include in an experiment to statistically control is known as a(n) . |
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A(n) is a correlational variable that resembles a true independent variable in an experiment. |
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The potential for frequently misinterpreting results is a problem associated with . |
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In a design, you make several observations before and after introducing an independent variable. |
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A nonexperimental design in which you chart behavior as a function of a naturally occurring event is the design. |
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In the design, the independent variable is administered repeatedly. |
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In the design, one group of participants is exposed to your independent variable and another, different, group is not. |
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Unlike quasi-experimental designs such as the time-series design, the pretest-posttest design is . |
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The design allows you to test for pretest sensitization effects. |
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One way to deal with pretest sensitization in pretest-posttest designs is to the pretest. |
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In a developmental design, the age of a participant is always considered to be a(n) . |
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In the design, you select participants from two or more age groups and study them over a short period of time. |
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, which may affect the results of a cross-sectional study, may occur when participants of widely differing ages are used. |
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In a design, a group of subjects is followed over some period of time and measured repeatedly. |
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Because of , the results from a longitudinal study may not generalize very well. |
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If participants drop out of a longitudinal study has occurred. |
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The design allows you to test for the presence of generation effects. |
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The cohort-sequential design includes both a(n) component and a(n) component. |
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