ABAT Reinforcement Systems and Token Economies Flashcards

A behavior technician implements a token economy for a client with ASD. After several weeks, the client begins hoarding tokens and refusing to exchange them for backup reinforcers, causing a significant drop in target behavior rates. Which intervention is MOST appropriate to address this token hoarding?

Answer: Introduce a token expiration policy where tokens lose value if not exchanged within a set session period

Token hoarding occurs when the tokens themselves become conditioned reinforcers that are no longer effectively exchangeable. Introducing a token expiration policy imposes a response cost for non-exchange, breaking the hoarding pattern by creating a contingency that removes value if tokens are not spent. Increasing the exchange rate (B) would reward hoarding behavior. Eliminating the token economy (C) removes a potentially effective system rather than troubleshooting it. Reducing the exchange requirement (D) does not address the hoarding motivation and may devalue the backup reinforcers further.

In a token economy, which schedule of token delivery is MOST resistant to extinction when transitioning a client toward natural community reinforcement?

Answer: Variable ratio schedule of token delivery

Variable ratio (VR) schedules produce the highest and most consistent response rates and are the most resistant to extinction because the unpredictability of reinforcement delivery prevents the organism from discriminating when reinforcement will next occur. This is essential when fading toward natural reinforcement, which is itself often delivered on an unpredictable (variable) schedule. Fixed ratio (A) schedules produce post-reinforcement pauses. Fixed interval (C) schedules produce scalloping patterns. Continuous reinforcement (D) is least resistant to extinction and is used during initial skill acquisition, not for maintaining behavior during fading.

A BCBA designing a token economy for a classroom notices that a student earns tokens consistently but the targeted prosocial behaviors are not generalizing outside the token economy context. According to behavior analytic principles, what is the MOST likely explanation for this failure to generalize?

Answer: The behaviors are under narrow stimulus control, controlled primarily by the presence of the token board and delivery cues

When behavior occurs in the token economy context but does not generalize, it typically indicates the behavior has come under narrow stimulus control — specifically, the presence of the token board, the technician delivering tokens, or other discriminative stimuli associated with the token economy. The behavior is an operant that has been trained under specific S^D conditions that do not exist in other settings. While motivating operations (C) and fluency (D) can affect generalization, the scenario most directly points to stimulus control as the primary explanation. Backup reinforcer motivation (A) affects acquisition, not primarily the contextual specificity of the trained behavior.

A client on a token economy suddenly shows a dramatic increase in problem behavior immediately after tokens are delivered. The BCBA hypothesizes that token delivery may be functioning as a punisher. Which experimental method would BEST confirm this hypothesis?

Answer: Conduct a functional analysis using the token delivery as the test condition and no token delivery as the control

To determine whether a stimulus is functioning as a punisher, a functional analysis isolates the stimulus in question as the independent variable. By using token delivery as the test condition and comparing it to a matched control condition without token delivery, the BCBA can observe whether problem behavior is reliably higher when tokens are delivered, providing experimental evidence of a punishing function. A reversal design (B) could demonstrate a functional relationship but is less controlled than a functional analysis and cannot isolate the specific stimulus function as cleanly. Preference assessments (A) and reinforcer assessments (D) assess stimulus value under approach/choice conditions, not under contingency conditions that would reveal punishing functions.

When designing a token economy to be eventually faded out, a BCBA plans to systematically thin the token schedule. A critical risk during thinning is 'ratio strain.' Which of the following procedures BEST prevents ratio strain while still progressing toward schedule thinning?

Answer: Increasing the ratio requirement only when the client's behavior is stable at the current ratio for at least three consecutive sessions

Ratio strain occurs when the reinforcement schedule is thinned too rapidly, causing the behavior to break down because the response cost exceeds the reinforcement value. The evidence-based safeguard is to increase the ratio requirement only when performance is stable (typically defined as three or more consecutive sessions meeting a criterion), ensuring the client has sufficiently contacted the leaner schedule before further thinning occurs. Abrupt doubling (A) is the direct cause of ratio strain. Alternating lean and dense schedules (C) may reduce discrimination but does not systematically build toward a thinner terminal schedule. Switching to a fixed interval schedule (D) changes the schedule class rather than systematically thinning; it also doesn't inherently prevent breakdown.

A BCBA is consulting in a group home where staff inconsistently deliver tokens — some staff deliver tokens contingently while others deliver them non-contingently to avoid client protests. Over time, the target behaviors decrease while problem behavior during token delivery attempts increases. This pattern is BEST explained by which combination of behavioral principles?

Answer: Intermittent non-contingent reinforcement has created a concurrent schedule that reinforces problem behavior, while contingent token delivery has become an S-delta for protest

When some staff deliver tokens non-contingently to avoid protest, they are placing protest/problem behavior on an intermittent schedule of negative reinforcement (staff avoid protest by delivering tokens) and simultaneously reinforcing protest non-contingently. This creates a concurrent schedule arrangement where problem behavior is reinforced (non-contingent token delivery following protest) while the contingent delivery by other staff becomes a discriminative stimulus that signals a condition where protest will NOT result in immediate token delivery — making contingent delivery an S-delta for protest. Option B (satiation) could be a secondary factor but doesn't explain the increase in problem behavior during token delivery attempts. Option C describes VR non-contingent reinforcement but mischaracterizes the functional relationship. Option D describes a multiple schedule effect but doesn't account for the reinforcement of problem behavior itself.