Task List Section D (5th Edition)

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Non-Parametric Analysis

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52 Terms

1

Non-Parametric Analysis

Type of Analysis with IV present or absent. Comparing treatment conditions.

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2

Parametric Analysis

Type of analysis that varies the amount of the IV to find the most effective amount

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3

Collateral Effects

When an IV effects behaviors other than the target behavior

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4

Steady State Responding

Pattern of the target behavior with little variation over time Establishes the foundation of baseline logic

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5

4 patterns of baseline

Descending
Ascending
Variable
Stable

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6

3 parts of baseline logic

Prediction
Verification
Replication

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7

Prediction

The projected result of a data path. More data points makes it stronger

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8

Practice effects

Confounding variable that presents when behavior improves due to opportunities to emit it

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9

Verification

Effectiveness of the IV is proven, data returns to baseline after removal of the IV

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10

Replication

Reintroduce the IV and results are similar to the previous outcomes

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11

Multiple baseline design

Type of experimental design with 1 IV and 2 or more DVs. The most utilized design used to demonstrate generalization when the target behaviors are irreversible but can show weak control

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12

Multiple Probe

Variation of multiple baseline that uses staggered single data points to show relation between IV and acquisition of skills sequences

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13

Delayed Multiple baseline

Variation of multiple baseline where new baselines are added when a novel behavior, subject or setting becomes available or known

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14

Nonconcurrent multiple baseline across participants

Series of AB designs in a specific order across subjects at different points in time when you can't take concurrent data

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15

Changing Criterion Design

Type of experimental design where the baseline is followed by a series of treatment phases with gradually changing stepwise changes. Looks At how criteria can control responding

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16

Reversal Design

Type of experimental design where responding is returned to a level from a different condition. Alteration between IV and baseline. Shows the strongest direct functional relation but has limitations of sequencing effects and irreversibility

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17

Types of reversal designs

Repeated Reversals
BAB
Multiple Treatment Design
NCR reversal Technique
DRO/DRA/DRI reversal technique

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18

BAB Reversal

Type of reversal with 3 phases used when the client displays dangerous behavior, when the IV is already present and when baseline isn't necessary. Limitation of sequence effects

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19

Sequence effects

Confounding variable with reversal design where the implementation of the IV in one phase change behavior in the next phase

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20

Multiple Treatment Design

Type of reversal Design that compares 2 or more IVs to baseline or each other. Shows which IV is most effective. (C D E F) Limitation of sequence effects

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21

Non Contingent reinforcement reversal technique

Type of reversal design with a minimum of 5 phases that shows effects of reinforcement while using NCR as a control instead of baseline.

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22

Differentail reinforcement reversal Technique

Type of reversal design that is less time consuming than NCR reversal. Shows the effects of reinforcement by using differential reinforcement (DRO/DRI/DRA) as the control condition instead of baseline

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23

Irreversability

When a behavior can not be returned to baseline

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24

Multielement design

Experimental design where 2 or more IVs are presented in rapidly alternating succession. Measures differential effects of IVs on the target behavior. Sd is usually associated with each condition.

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25

Single phase without initial baseline

Most basic application of multielement design, all comparisons made in one phase

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26

2-phase with initial baseline

Variation of multielement where treatment is implemented after stability in baseline

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27

3-phase with initial baseline, comparison and final best treatment phase

Most popular variation of multielement where there is a baseline, treatment and final phase with the most effective treatment displayed

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28

3-phase with initial baseline, comparison and final participants choice

Variation of multielement with baseline, treatment and final phase with the the participants choice of treatment displayed

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29

Concurrent Chains design

variation of multielement design where the client makes a choice between 2 or more concurrently available IVs. IVs are presented by the researcher with an associated Sd.

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30

Repeated reversals
BAB
Multiple treatment design
NCR reversal
DR reversal

5 variations of reversal design

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31

BAB Reversal

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32

Multiple treatment Design

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33

NCR reversal

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34

Single Phase without initial baseline

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35

2-Phase with initial baseline

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36

Internal Validity

Experiment shows that changes in behavior are a direct result of the IV and not another variable

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37

4 confounding variables to Interval validity (MISS)

Measurement confounds
IV Confounds
Subject confounds
Setting confounds

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38

Types of Measurement confounds

Observer Drift
Reactivity
Observer bias

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39

IV confounds

When IVs are complicated and given together in treatment package

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40

Types of subject confounds

Maturation
Practice
Adaptation
Warm-up effects

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41

Setting confounds

More common in natural settings than in controlled space, bootleg reinforcement

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42

Confounding Variables

Uncontrolled factor that may exert influence on the dependent variable that is unexpected and not considered in planning

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43

Examples of Confounding Varaibles

Earthquake, illness, power outage

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44

Extreneous Variables

Aspect of environment that must be held constant to prevent environmental variations. The researcher is usually aware of this.

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45

Examples of Extraneous Variables

Lights, temp, noise, appearance of environment

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46

External Validity

Results are generalized to other settings, subjects or behaviors. Relies on replication

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47

Direct replication

Exact duplication of previous study, not common in applied settings

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48

Systematic replication

Duplication with intentional changes to 1 or more features of a previous study.

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49

Type 1 error

False positive

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50

Type 2 error

False negative

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51

Group

______________ designs randomly select a pool of subjects from the relevant population, divides the subjects into experimental and control groups, pretest, applies the IV to the experimental group and posttest

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52

Single - subject

____________________ designs are used in behavior analysis

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