Unit 5 Flashcards

1
Q

Experimental Design

A

Repeated, systematic presentation and removal of an independent variable (IV) while measuring changes in the dependent variable (DV), and holding other factors constant

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2
Q

The primary goals of experimental design

A

To demonstrate a functional relationbetween the IV and DV To evaluate the interventions once they are decided upon

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3
Q

Functional relation

A

Exists when changes in an antecedent or consequent stimulus class consistently alter a dimension of a response class

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4
Q

Internal validity

A

The extent to which an analysis assures that measured changes in behavior are due to the manipulation and NOTdue to uncontrolled extraneous variables

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5
Q

External validity

A

The extent to which a study’s results are generalizable to other subjects, settings, or behaviors

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6
Q

Why Internal Validity is a Priority

A

It makes little sense to consider the generality of the effect (external validity) if extraneous variables cannot be ruled out for the effect

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7
Q

Threats to internal validity

A
History
Maturation
Testing
Instrumentation
Diffusion of treatment
Regression towards the mean
Selection bias
Attrition
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8
Q

History

A

Introduction of the IV may coincide with other events in the person’s life (and those other events could have produced the effects)

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9
Q

Maturation

A

Natural developmental events or learning experiences may coincide with the introduction of the independent variable to produce the change

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10
Q

Testing

A

Changes in the dependent variable may have come about as a function of repeated exposure to the experimental arrangements

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11
Q

Instrumentation

A

Changes may reflect modifications in the measurement systems rather than effects of the IV

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12
Q

Diffusion of treatment

A

Inadvertent, uncontrolled “seepage” of the treatment to control conditions or control subjects

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13
Q

Regression towards the mean

A

Changes occurred because baseline measurements were NOT representative of the natural state of events; perhaps less relevant to single-case designs because of repeated measures

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14
Q

Selection bias

A

The assignment of subjects to groups may have biased the outcome even in the absence of any intervention; Perhaps less relevant to single-case designs because participants serve as their own controls

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15
Q

Attrition

A

The loss of subjects over time, especially if systematic, may influence the effects; Perhaps less relevant to single-case designs because participants serve as their own controls

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16
Q

Minimizing Validity Threats

A

Measurement
Stability
Immediacy
Replication

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17
Q

Measurement

A

Continuous assessment-collecting data on the dependent measure for an extended period of time

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18
Q

Stability

A

If levels of the DV remain relatively stable over time before the independent variable is introduced, the likelihood that the change canbe attributed to the IV increases

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19
Q

Immediacy

A

The more immediate the effect, the stronger the case that the IV produced it

20
Q

Replication

A

Demonstration using multiple cases; If the IV affects many subjects in the same manner, a stronger case can be made that it produced the change

21
Q

Single-Case Designs(SCD)

A

A variety of research designs that use baseline logic to demonstrate the effects of IVs on the behavior of individual subjects.

22
Q

Other names for Single-Case Designs

A

Single-subject design
Within-subjects design
Intra-subject design
Small n design

23
Q

Characteristics of Single-Case Designs

A

ndividuals serve as their own control; Each individual is exposed to each level of the IV; Changes in the IV are made once the DV has reached a steady state; Small number of subjects; Multiple and repeated measures; Usually visual data analysis

24
Q

Characteristics of Group Designs

A

Comparisons are made between groups of individuals (“control” group vs. experimental group); large number of subjects; each individual often exposed to only one level of the IV

25
Q

Advantages of Single-Case Designs

A

Dynamic change (repeated measurement and stability permit you to see patterns of behavior change); Variability (allows the examination of inter-subject and intra-subject variability); Accountability (represents the performance of an individual subject)

26
Q

Baseline

A

Assessment of the dependent variable prior to the introduction or change of the independent variable

27
Q

Functions of Baseline

A

Descriptive
Predictive
Insight
Setting targets

28
Q

Phase change

A

Movement in the analysis from one level or kind of independent variable to the next level or kind of independent variable

29
Q

A-B Design

A

Baseline phase followed by a treatment phaseEffect is demonstrated when behavior changes from one phase to the next

30
Q

Limitations of A-B Designs

A

Supports weak conclusions

Changes in behavior may be the result of extraneous variables

31
Q

Phase change logic

A

Ideally phase changes are made when behavior reaches a steady state defined by level, stability and trend.

32
Q

3 factors needed for “steady state responding”

A

Level (behavior is high or low enough to detect a change if one occurs); Stability (levels of behavior do NOT vary greatly from one measurement to the next);Trend (the behavior is NOT already changing in the predicted direction).

33
Q

Reversal Design

A

Following baseline, the IV is introduced, then withdrawn (at least once, 2 times is preferable)

34
Q

Advantages of Reversal Designs

A

Most straightforward single-casearrangement; Most powerful demonstrationof functional relations

35
Q

Limitations of Reversal Designs

A

Reversibility (some behavior changes are not reversible)
Ethical concerns of treatment reversalTime (to get stability in all phases)
Order (could be sequence effects)

36
Q

Multiple Baseline Design

A

Two or more independent baselines are established; The IV is then separately introduced in a staggered fashion to each baseline; When behavior is stable for the first baseline, the IV is introduced on the second baseline,and so on.

37
Q

3 Standard Variations of Multiple Baseline Designs

A

Multiple baseline across subjects
Multiple baseline across behaviors
Multiple baseline across settings

38
Q

Advantages of Multiple Baseline Designs

A

Useful when behavior change is notreversible
Does not require countertherapeutic behavior change to demonstrate control
Experimenter can empirically evaluate methods and interventions before applying on a larger scale

39
Q

Limitationof Multiple Baseline Designs

A

Interdependency (changing behavior in one baseline is likely to change behaviors in the other baseline even though the IV is not introduced to other baselines)

40
Q

Non-concurrent Multiple Baseline (Delayed Multiple Baseline)

A

Across individuals.

Separate baselines are taken; The baselines are staggered but not conducted at the same time

41
Q

Advantages of Non-concurrent Multiple Baseline Designs

A

Permits greater flexibility in analysis (not constrained by needing all subjects concurrently present)

42
Q

Disadvantages of Non-concurrent Multiple Baseline Designs

A

Greater interpretive challenge if behavior changes on subsequent baseline before IV is introducedNOT useful across behaviors or settings

43
Q

Multiple probe technique

A

First baseline is continuous, but subsequent baseline data collection is conducted intermittently (as “probes”), relative to the first baseline

44
Q

Advantages of Multiple Probe Design

A

Avoids “ritualistic” gathering of Baseline data
Avoids various threats
Useful when extended baseline sessions are impractical, costly, or possibly detrimental

45
Q

Disadvantages of Multiple Probe Design

A

Risks stability (perhaps infrequent probes were outliers)