Eb 2

Front 1

Functional analysis: AB model

Back 1

FA in which an EO is manipulated (task vs no task; frequent attention vs low attention). No consequences are presented when behavior occurs.

Front 2

Functional analysis: ABC model

Back 2

FA in which EO and consequences are manipulated. Attention condition: FR 1 attention for problem behavior when attention deprived. Tangible condition: FR 1 tangible for problem behavior when tangible deprived.

Front 3

Functional analysis: brief

Back 3

An FA that involves 1 or 2 sessions

Front 4

Functional analysis: limits

Back 4

1. Does analogue apply to real life
2. Sometimes misses idiosyncratic variables
3. Doesn't always investigate complex variables

Front 5

Functional analysis: Pair wise

Back 5

When a particular test condition (e.g., FR 1 attention) has a corresponding control condition (e.g., continuous attention). A pair wise is often used to test a particular hypothesis (e.g., is the behavior maintained by attention?).

Front 6

Functional analysis: role of precursors

Back 6

Can be the DV if the problem behavior is dangerous.

Front 7

Functional analysis: strengths

Back 7

1. High degree of confidence in determining functional relations

Front 8

Functional analysis: undifferentiated data

Back 8

This suggests that the behavior is under multiple control (there is more than 1 operant) - or it may suggest that there is some idiosyncratic variable that is maintaining the behavior in all conditions.

Front 9

Generality

Back 9

Extent to which the results or functional relations will be observed if the experiment is changed in some way. Can be tested by implementing the Tx with different Ss, settings, behaviors, or species.

Front 10

How to sample high rate behavior

Back 10

Continuous recording for short period of time