Unit 5b Flashcards

1
Q

Control condition

Baseline condition

A

A condition or phase of an experiment in which the

independent variable is not present.

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2
Q

Experimental condition
Treatment condition
Intervention condition
Independent variable condition

A

A condition or phase in which the independent

variable is present.

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3
Q

Functional relation

A
An experimentally determined relation that shows
that the dependent variable depends on or is a
function of the independent variable and nothing else.
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4
Q

Experimental control

A

The management or control of different variables in a
study, including the independent variable and
extraneous variables.

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5
Q

Treatment integrity

A

The extent to which the independent variable is

consistently implemented as designed.

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6
Q

Tactics to manage extraneous variables

A
  • Eliminate
  • Hold constant
  • Evaluate experimentally
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7
Q

Replication

A

Repetition of any parts of an experiment

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8
Q

Reproduction

A

Repetition of results, usually as an outcome of

repetition of procedures.

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9
Q

Within-session replication

A

Repetition of a basic element of a procedure

throughout each session.

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10
Q

Within-phase replication

A

Repetition of the same condition many times in

succession throughout a phase.

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11
Q

Within-experiment replication

A

Repetition of an entire phase during the course of an

experiment.

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12
Q

Within-literature replication

A

Repetition of an earlier experiment, usually by other

researchers.

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13
Q

Across-research-literature replication

A

Repetition of phenomena under different conditions

across different fields of science.

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14
Q

Functions of replication

A
  • Reliability (if repeat procedure, get same effect?)

* Generality (if change procedure, get same effect?)

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15
Q

AB design

A

A within-subject experimental design composed of a

control and an experimental condition

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16
Q

Reversal design

A

A within-subject experimental design involving a pair
of control and experimental conditions in which one
or both conditions repeat at least once.

17
Q

Multi-element design

Alternating-treatments design

A

A variation of a reversal design that exposes a
participant first to one condition and then to another
in some form of repeated alternation.

18
Q

Changing criterion design

A

A within-subject, single baseline design using AB and
reversal sequences to identify effects of manipulating
performance criteria.

19
Q

Parametric design

A

A within-subject, single baseline design using AB and
reversal sequences to identify effects of manipulating
a specific parameter of a procedure.

20
Q

Multiple baseline design

A

A within-subject design that uses two or more
baselines in a coordinated way to allow controltreatment
comparisons both within and across
baselines.

21
Q

Requirements for comparing responding

across multiple baselines

A

• Each baseline must be independent of the others
• The sensitivity of each baseline to the intervention must
eventually be demonstrated
• When the intervention is ongoing in one baseline, the
control condition must be ongoing in other baselines.
• There must be sufficient temporal overlap between
intervention and control conditions in different baselines to
allow extraneous effects to develop
• Extraneous variables associated with the intervention
condition must have the opportunity of influencing
responding under the control condition

22
Q

Exploratory data analysis (EDA)

A

An approach to data analysis that emphasizes largely
graphical techniques focusing on discovering order
and structure in the data.

23
Q

Linear interval scale

A

A measurement scale that allows descriptions of
events that show how much they differ in terms of
equal intervals between values.

24
Q

Logarithmic interval scale

A

A measurement scale that allows description of
events that show how much they differ in terms of
equal rations between values.

25
No chance day
A plotting convention referring to days on which the target behavior could not have occurred. Data points bracketing such days should not be connected in line graphs.
26
Ignored day
A plotting convention referring to days on which the target behavior could have occurred but was not measured. Data points bracketing such days should be connected in line graphs.
27
Generality
The meaningfulness of experimental interpretations under circumstances different from those that generated the data.