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Fill in the Blanks
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1

To establish a(n) , a behavior is sampled repeatedly over time and plotted.
2

In the single-subject design, reliability of effects is assessed by means of .
3

The application of statistical techniques to the study of individual differences was pioneered by .
4

External validity is assessed in a single-subject experiment by using .
5

The two conditions in the simplest baseline design are the and the .
6

In the single-subject baseline design, subjects usually remain in a given treatment condition until a particular is met.
7

In the baseline design, replication shows whether the results obtained with one subject are similar or dissimilar to those obtained with the others.
8

Between-subjects and within-subjects designs use inferential statistics to establish reliability of effects, whereas single-subject designs use .
9

According to your text, selecting a good stability criterion is somewhat of a(n) .
10

In the single-subject baseline design, subjects are usually returned to the baseline condition after receiving the treatment. When you do this, you are employing a strategy.
11

Before you can deal with uncontrolled variability, you must .
12

A baseline that fails to return to pretreatment levels because the treatment has permanently altered the subject's responses is said to be .
13

When you have a(n) it does not stabilize but shows slow and systematic changes.
14

If baseline levels of performance cannot be recovered during reversal in a baseline design, then you have a(n) baseline.
15

baseline designs provide a solution to the problem of irreversible changes in baseline.
16

designs measure moment-by-moment changes in behavior across baseline and intervention phases.
17

refers to regular patterns of behavioral change over time.
18

In a(n) design behavior is measured over a large number of separate trials.
19

Analysis of data from a discrete trials design usually starts by the responses across the repeated presentations of a particular treatment.
20

Some single-subject researchers advocate the use of to analyze data from single-subject designs.







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