Ch 7 Analyzing Behavior Change: Basic Assumptions & Strategies Flashcards

1
Q

foundation of single-case experimental designs. provides framework for using patterns of bx in the baseline phase to demonstrate experimental control and establish functional relationship between IV and DV.

3 types- prediction, verification, replication

A

baseline logic

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2
Q

phase in intervention where target behavior is measured without any intervention or treatment in place. provides a starting point to compare future behavior changes and helps determine whether an intervention is effective

-conducted before the IV is introduced
-behavior is measured under natural/typical conditions
-helps establish a pattern or trend of responding
-used to make predictions and assess experimental control
-can show level, trend, variability

A

baseline

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3
Q

demonstrating that behavior change does not occur without the intervention; process of confirming that a functional relationship exists between a change in the independent variable (e.g. an intervention or treatment) and a change in the dependent variable (e.g. behavior). It’s one of three components of baseline logic used used in single-subject experimental designs (prediction, _____, replication).

-supports internal validity
-confirms that the intervention caused the behavior change

A

verification

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4
Q

baseline phase in which the target behavior fluctuates unpredictably- there is no clear trend, level, or stability. this makes it difficult to predict future behavior and can weaken experimental control if not addressed.

-behavior shows inconsistent patterns
-makes prediction and interpretation of treatment effects harder
-may result from environmental variables, lack of stimulus control, or measurement issues
-important to extend baseline until stable data are observed

e.g.
day 1 20%, day 2 60%, day 3 10%, day 4 40%, day 5 15%= no clear trend, level, or stability

A

variable baseline

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5
Q

method used in experimental analysis and single-subject designs where the IV (independent variable; e.g. an intervention) is introduced only after the DV (dependent variable; behavior) shows a stable pattern under baseline conditions. ensures changes in behavior can be confidently attributed to the intervention

-focuses on achieving stable baseline data before introducting treatment
-ensures there’s a clear prediction of future behavior based on baseline
-strengthens internal validity and experimental control
-often used in reversal (ABAB) and multiple baseline designs
-minimal variability, clear trend, predictable pattern, usually determined by visual analysis across 3-5 data points

e.g. tantrum frequency;
day 1- 4, day 2- 4, day 3- 3, day 4- 4 since this is __, the intervention can now be introduced. any change in behavior can be more confidently attributed to the treatment.

A

steady state strategy

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6
Q

condition in which a behavior shows a consistent pattern over time- with minimal variability in rate, frequency, or intensity- under a given set of environmental conditions (e.g. baseline or intervention). it indicates that the behavior has reaches a stable level, making it possible to detect changes when a new condition is introduced.

-behavior occurring in a predictable pattern
-low variability, clear trend, or consistent level
-suggests experimental control is possible
-often used to decide when to introduce or change phases in single-subject designs
- ensures a valid baseline or intervention phase and helps differentiate real treatment effects from natural variability
-essential for SSED (single-subject experimental designs)

e.g. hand raising frequency at baseline

session 1- 2 times, session 2- 2 times, session 3- 3 times, session 2- 2 times= ___- it’s stable, predictable, and ready for the introduction of the independent variable

A

steady state responding

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7
Q

period during which the target behavior occurs at a consistent level or trend before an intervention is introduced. in SSEDs, a _____ is critical for making valid predictions and assessing whether a functional relationship exists between the IV (intervention) and DV (behavior)

-behavior shows little to no variability, clear trend (increasing, decreasing, or flat), predictable pattern
-suggests that external variables are not influencing the behavior

e.g. out of seat behavior
day 1-4, day 2- 4, day 3- 5, day 4- 4= a ____, making it a good point to introduce a behavior reduction intervention (e.g. differential reinforcement)

A

stable baseline

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8
Q

experimental methods used in ABA to evaluate the effect of an intervention on the behavior of one individual (or a small group), where the individual serves as their own control. behavior is measured repeatedly over time during baseline and intervention phases to demonstrate a functional relationship between the independent and dependent variables.

-focus on individual behavior change
-repeated measurement
-includes at least one baseline phase (A) and one intervention phase (B)
-uses visual analysis of graphed data
-seeks to demonstrate experimental control (functional relationship)

A

single case design

types
AB
reversal (ABA or ABAB)
multiple baseline
changing criterion
alternating treatments (ATD)
withdrawal

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9
Q

process of repeating an intervention or experimental condition to determine whether the same behavior change occurs again. critical component of baseline logic and is used to demonstrate reliability and validity of a functional relationship between the IV (intervention) and DV (behavior)

A

replication

3 types
direct
systematic
internal/within experiment

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10
Q

a clearly defined question that guides the purpose of an intervention or experimental study. identifies behavior of interest, population, and IV (intervention), and often setting or context. helps determine what the practitioner or researcher is trying to discover, change, or evaluate.

-focuses on specific observable bx
-clearly defines IV (intervention or treatment)
-states population or individual being studied
-can be measured and answered using data and analysis

e.g. does use of a token economy increase on-task bx in a special education classroom?

does a DRA decrease tantrums in a preschool child with ASD?

A

research question

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11
Q

anticipating future level of behavior based on baseline data before an intervention is introduced. 1 of 3 components of baseline logic (along with verification and replication) used in single-case experimental designs to demonstrate experimental control.

-based on trend, level, and variability of baseline data
-used to determine what bx would look like without intervention

A

prediction

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12
Q

improvements in performance that occur due to repeated exposure to a task or behavior- NOT because of an intervention. they can confound experimental results by making it seem like bx changed because of treatment, when in reality, it changed due to familiarity, repetition, or learning the task over time.

-type of confounding variable that can threaten internal validity

A

practice effects

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13
Q

type of experimental procedure to examine effects of different values (levels or intensities) of the IV on bx. helps determine how much of the intervention is needed for a bx change and whether more or less of it produces better, worse, or no effects.

-involves sytematic variation of the magnitud, duration, or rate of the IV to help determine optimal dose of an intervention
-used to fine-tune tx effectiveness
-different from component analysis, which tests whether each part of a tx is necessary

e.g. Duration of access to a reinforcer (e.g., 2 min vs. 5 min of tablet time)

Delay before reinforcement is delivered (immediate vs. delayed)

Intensity of a prompt (partial vs. full physical)

Dosage of treatment (e.g., 1 vs. 3 sessions per week)

A

parametric analysis

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14
Q

degree to which we can confidently say that a change in the DV (bx) was caused by the IV (intervention) and NOT by other uncontrolled variables. demonstrates a functional relationship between bx and tx.

A

internal validity

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15
Q

the intervention, treatment or manipulated condition the BCBA intentionally changes to see its effect on behavior. it’s what you do to the environment to influence behavior; the “cause” in the cause effect relationship

A

independent variable

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16
Q

extent to which the results of an intervention or experiment can be generalized to other people, settings, behaviors, or times beyond the specific conditions of the study.

-focuses on generalization of bx change
-important for real-world application of interventions
-strengthened through systematic replication across people, settings, and behaviors

A

external validity

17
Q

structured plan used to test whether a functional relationship exists bewteen an IV (intervention) and DV (behavior). involves systematic manipulation of variables, repeated measurement, and baseline logic (prediction, verification, replication) to establish experimental control.

-involves manipulating IV
-repeated measurement of target bx
-uses baseline and intervention phases
-demonstrates functional relationships
-ensures internal validity

A

experimental design

18
Q

achieved when the IV (intervention) is shown to be the only cause of a change in the DV (behavior). it means the bx reliably changes when the intervention is introduced and returns or stays the same when it is removed or withheld, demonstrating a functional relationship.

-shows the IV alone is responsible for bx change
-demonstrated through baseline logic
-rewuires repeated, systematic manipulation of variables
-core goal of single-case experimental designs

A

experimental control

19
Q

pattern in which target behavior is decreasing over time before any intervention is introduced. this trend can make it difficult to interpret whether a laterbx change was due to the intervention or whether it was naturally improving

-may suggest bx is improving without intervention

A

descending baseline

20
Q

the target behavior being observed and measured to assess whether an intervention is effective. it’s the outcome of interest and basis for making data-driven tx decisions.

e.g. of ___
number of aggressive bxs per day
duration of tantrums during a task
latency to respond to a prompt
rate of manding
percentage of correct responses

A

dependent variable

21
Q

uncontrolled factor that co-occurs with the IV and may influence the DV, making it difficult to determine whether the intervention actually caused the bx change. it muddles the interpretation of the results by introducing alternative explanations for what caused the bx change

-actual threat to internal validity
-affects DV and overlaps with IV
-occurs alongside intervention and affects the bx being measured

e.g. medication changes during an aba program targetting aggression

a new therapist starts during the intervention phase

client begins getting more sleep at night during the bx plan

parent starts providing attention for appropriate bx, but this wasn’t part of the intervention

A

confounding variable

22
Q

any variable other than the IV that might influence the DV. these variables are not intentionally part of the experiment but can confound the results of an intervention by making it unclear whether the intervention or something else caused the behavior change.

-potential threat to internal validity
-might affect DV
-may be environmental, biological, or social. should be controlled, monitored, or ruled out

e.g. noise levels in the room during sessions
lighting or temperature change
fatigue or hunger
presence of different therapists
unplanned schedule changes

A

extraneous variable

23
Q

pattern in which target behavior is increasing over time before any intervention is introduced. this upward trend can make it difficult to interpret whether a future increase (or decrease) in bx is due to the intervention or natural trend

-bx is already increasing in baseline
-may suggest the bx is worsening naturally or improving without intervention

A

ascending baseline

24
Q

logical fallacy that occurs when someone assumes that because a specific outcome occurred, the intervention must have caused it- without ruling out other possible causes. a flawed form of reasoning that can weaken experimental conclusions if not addressed.

logical form (fallacy)
if A, then B. B occurred, therefore A caused B. this is not logically valid without further verification.
-what if another variable caused it? (e.g. new teacher, scheduling, weather, sleep, medication change)

A

affirmation of the consequent

25
8 core single-case designs
AB reversal (ABA or ABAB, etc) withdrawal multiple baseline multiple probe alternating treatments changing criterion multiple treatment
26
not experimental (no control), one phase of A (baseline) followed by one phase of B (intervention). used to show change over time, but does not demonstrate experimental control (because there's no reversal or comparison). e.g. therapist tracks tantrums for a week (A), then implements a behavior plan the next week (B) and sees tantrums go down A behavior technician records how often a child elopes from the classroom (A). Then, a staff member starts using a proximity strategy (B), and elopement decreases. A parent tracks their child’s bedwetting for a week (A), then implements a nighttime bathroom routine (B) and sees improvement.
AB Design (NOT experimental)
27
repeatedly switching between baseline (A) and intervention (B) phases to show that behavior changes when the intervention is applied or removed. -strong demonstration of experimental control e.g. child gets a reward for doing homework (B) and improves; when the reward is removed (A), the behavior declines again; when the reward is reintroduced (B), the behavior improves again A student is rewarded with computer time for finishing assignments (B). When the reward is removed (A), work completion drops. When it’s reintroduced (B), work improves again. A therapist uses a break card to reduce screaming (B). When the break card is removed (A), screaming returns. With the card again (B), screaming reduces.
reversal design (ABA or ABAB) (Experimental)
28
similar to reversal, but focuses on removing treatment (instead of replacing it) -used to see if behavior returns to baseline when the intervention is taken away e.g. child is given a token system (B) to improve behavior; after improvement, the tokens are removed (A) to see if behavior goes back down. A child receives reinforcement for sitting still during circle time (B). When the reinforcement is withdrawn (A), the child becomes more fidgety. A medication is introduced (B) to reduce aggression, then removed (A) to assess whether the behavior returns.
withdrawal design
29
treatment is introduced at different times across different behaviors, settings, or people. -useful when it's not ethical or possible to withdraw treatment e.g. teacher introduces praise strategy to improve one student's behavior. later, the same strategy is applied to a second student, and then a third- each time showing improvement only after the intervention starts. Across subjects: • Three students have difficulty staying in their seats. The teacher starts an intervention with Student A, then B, then C. Behavior improves only when each receives the treatment. Across settings: • A student’s off-task behavior is targeted. The intervention is first applied in math, then reading, then science. On-task behavior increases in each setting only after treatment begins. Across behaviors: • A child’s aggression, self-injury, and yelling are targeted. Treatment is applied to aggression first, then self-injury, then yelling.
multiple baseline design (across behaviors, settings, or subjects) (experimental)
30
variation of multiple baseline, using intermittent data collection (called probes) instead of continuous measurement during baseline. -used to reduce time and effort in data collection, especially when a behavior isn't expected to change until intervention. e.g. therapist teaches a child steps of a task over time, collecting data only occasionally before teaching each new step. A therapist teaches a chained task like tooth brushing. They only probe each step occasionally until teaching begins for that step. A student is learning sight words. Data is collected only before teaching each new set of words (e.g., probes on week 1, 3, 5).
multiple probe design (experimental)
31
two or more treatments are rapidly alternated (daily or session-by-session) to see which one is more effective, -used to compare effects of different interventions quickly e.g. teacher alternates between using praise and using a token system each day to see which method helps a student complete math problems more consistently. A student is taught using discrete trial training on Monday, and natural environment teaching on Tuesday. After several weeks, the team compares which teaching method results in more correct responses. A child receives reinforcement in the form of praise on some days and tangible items on others. The team alternates conditions daily to see which is more effective.
alternating treatments design (experimental)
32
behavior is reinforced based on meeting a series of gradually changing performance criteria -used for shaping behaviors or slowly increasing/decreasing behavior e.g. therapist reinforces a child for walking 1000 steps per day. Once that goal is met, the criterion is raised to 1200 steps, then 1500, and so on. A client is reinforced for reducing the number of cigarettes smoked each week — 10/day, then 8/day, then 6/day, etc. A child is praised for completing increasing numbers of math problems — 5, then 10, then 15. A learner is rewarded for staying seated during circle time — starting with 1 minute, then 2, then 3, etc.
changing criterion design (experimental)
33
compares 2+ interventions by introducing them in succession or in combination, usually with a baseline phase -used to evaluate which of several treatments is most effective e.g. therapist tries intervention A (e.g. visual schedule), then switches to intervention B (e.g. timer), and compares their effects on transition behavior. A child’s tantrums are targeted with two different interventions: extinction and differential reinforcement. The team compares each by applying one, then the other. A therapist uses visual schedules (Intervention A) for one week and timers (Intervention B) the next week to see which is more effective in reducing transition-related problem behavior.
multiple treatment design (experimental)
34
3 types of replication; direct systematic internal/within experiment
1. direct replication= same conditions are repeated with the same subject. confirms the treatment can reproduce the same effect in the same context 2. systematic replication= intervention is repeated but with variations (e.g. new client, setting, or behavior); demonstrates generality of the treatment effect 3. internal/within experiment replication= demonstrating replication of effects within a single experiment, often through multiple phases or across conditions; shows experimental control