Behavioral Intelligence con Mara Sanchez

In this episode of Behavioral Intelligence con Mara Sánchez, we begin Domain D – Experimental Design from the BACB Test Content Outline as part of our BCBA exam preparation series.

Today’s topic focuses on D.6: Critique and interpret data from single-case experimental designs.

Understanding how to evaluate single-case design data is essential for behavior analysts because these designs form the foundation of evidence-based decision-making in applied behavior analysis.

In this episode, you will learn:
• What single-case experimental designs are and why they are central to ABA research and practice
• How to interpret functional relations by analyzing level, trend, variability, immediacy of effect, overlap, and consistency across similar conditions
• How to critique whether a design demonstrates experimental control
• Why accurate interpretation of single-case design data is necessary for making ethical and effective treatment decisions

We will also discuss:
• Clinical ABA examples showing how single-case design data guide intervention decisions
• Practical examples of how to determine whether behavior change is truly related to the intervention
• BCBA exam tips to help identify strong versus weak demonstrations of experimental control
• Common mistakes students make when interpreting data from single-case experimental designs

This podcast series is designed to support RBTs, BCBA students, and behavior analysts who want to strengthen their conceptual understanding of applied behavior analysis while preparing for certification exams.

Follow the BCBA study series and stay connected with Amethyst Therapy Services.

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for the next episode as we continue exploring Domain D – Experimental Design in Behavior Analysis.

In this episode of Behavioral Intelligence con Mara Sánchez, we examine D.5: Identifying the relative strengths of single-case experimental designs and group designs.

Both research approaches are valuable but serve different purposes in behavioral science.

In this episode, you will learn:

• The strengths of single-case experimental designs
• The strengths of group research designs
• Why ABA primarily relies on single-case methodology
• How these research approaches complement one another

We will also discuss:

• Clinical ABA examples where single-case designs are most appropriate
• Research contexts where group designs are commonly used
• BCBA exam tips for distinguishing between these research approaches
• Common misconceptions students have about experimental design methods

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for D.6: Critiquing and interpreting single-case data.

In this episode of Behavioral Intelligence con Mara Sánchez, we explore D.4: Identifying the defining features of single-case experimental designs.

Single-case experimental designs are the foundation of research in applied behavior analysis.

In this episode, you will learn:

• Why individuals in ABA research serve as their own controls
• The importance of repeated measurement in behavioral experiments
• How prediction, verification, and replication establish experimental control
• Why these features make single-case designs scientifically powerful

We will also discuss:

• Clinical ABA examples using single-case experimental designs
• How repeated measurement allows precise analysis of behavior change
• BCBA exam tips for recognizing design features in exam questions
• Common mistakes students make when interpreting single-case designs

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for D.5: Strengths of single-case vs group designs.

In this episode of Behavioral Intelligence con Mara Sánchez, we explore D.3: Identifying threats to internal validity.

Threats to internal validity are factors that make it difficult to determine whether the independent variable actually caused the observed behavior change.

In this episode, you will learn:

• What history effects are in experimental design
• What maturation effects refer to
• How outside variables can influence behavioral outcomes
• Why controlling threats to validity is essential for scientific research

We will also discuss:

• Clinical ABA examples of internal validity threats
• Research scenarios where uncontrolled variables influence results
• BCBA exam tips for identifying threats to internal validity
• Common mistakes students make when analyzing research scenarios

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for D.4: Defining features of single-case experimental designs.

In this episode of Behavioral Intelligence con Mara Sánchez, we continue exploring Domain D – Experimental Design.

Today's topic focuses on D.2: Distinguishing between internal and external validity.

Understanding validity helps behavior analysts evaluate whether research findings are trustworthy and applicable.

In this episode, you will learn:

• What internal validity means in experimental design
• What external validity refers to in behavioral research
• Why internal validity is essential for demonstrating experimental control
• How external validity relates to generalization of results

We will also discuss:

• Clinical ABA examples illustrating validity in research and practice
• Situations where strong internal validity may limit external validity
• BCBA exam tips for identifying validity concepts in exam questions
• Common mistakes students make when evaluating research validity

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for D.3: Threats to internal validity.

In this episode of Behavioral Intelligence con Mara Sánchez, we begin Domain D – Experimental Design from the BACB Test Content Outline as part of our BCBA exam preparation series.

Today's topic focuses on D.1: Distinguishing between dependent and independent variables.

Understanding the relationship between these variables is essential for analyzing how behavior changes in response to environmental manipulation.

In this episode, you will learn:

• What the dependent variable is in behavior analysis
• What the independent variable represents in behavioral research
• How independent variables influence measurable behavior change
• Why clearly identifying these variables is critical in experimental design

We will also discuss:

• Clinical ABA examples illustrating dependent and independent variables
• Everyday examples that demonstrate how environmental changes affect behavior
• BCBA exam tips for identifying variables in research scenarios
• Common mistakes students make when distinguishing between dependent and independent variables

This podcast series is designed to support RBTs, BCBA students, and behavior analysts who want to strengthen their conceptual understanding of applied behavior analysis while preparing for certification exams.

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned as we continue Domain D – Experimental Design with D.2: Internal and external validity.

In this episode of Behavioral Intelligence con Mara Sánchez, we conclude Domain C – Measurement, Data Display, and Interpretation.

Today's topic focuses on C.12: Selecting measurement procedures to obtain representative procedural integrity data.

Procedural integrity ensures that interventions are implemented as designed, which is essential for valid treatment outcomes.

In this episode, you will learn:

• What procedural integrity is in behavior analysis
• How to measure implementation accuracy and dosage
• Why procedural integrity data is essential for treatment evaluation
• How environmental constraints influence fidelity measurement

We will also discuss:

• Clinical ABA examples of treatment fidelity monitoring
• How supervision and training support procedural integrity
• BCBA exam tips related to treatment integrity measurement
• Common mistakes students make when evaluating implementation fidelity

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned as we move into Domain D – Experimental Design in Behavior Analysis.

In this episode of Behavioral Intelligence con Mara Sánchez, we explore C.11: Interpreting graphed data.

Behavior analysts rely on visual analysis to determine whether interventions are effective.

In this episode, you will learn:

• How to evaluate level, trend, and variability in behavioral data
• How to identify meaningful changes in behavior patterns
• How data interpretation guides treatment decisions
• Why visual analysis is central to ABA practice

We will also discuss:

• Clinical ABA examples of interpreting treatment data
• Everyday examples illustrating behavior trends
• BCBA exam tips for analyzing graphs
• Common mistakes students make when interpreting data patterns

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for the final topic in Domain C: C.12 Procedural Integrity Measurement.

In this episode of Behavioral Intelligence con Mara Sánchez, we explore C.10: Graphing data to communicate quantitative relations.

Graphing allows behavior analysts to visualize behavior change and communicate results clearly.

In this episode, you will learn:

• What equal-interval graphs are
• When bar graphs are appropriate
• What cumulative records show
• Why visual analysis is essential in ABA

We will also discuss:

• Clinical examples of data graphing in behavior intervention programs
• How graphs support treatment decisions
• BCBA exam tips related to graph interpretation
• Common student errors when reading ABA graphs

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for C.11: Interpreting graphed data.

In this episode of Behavioral Intelligence con Mara Sánchez, we explore C.9: Selecting a measurement procedure to obtain representative data.

Behavior analysts must select measurement systems that capture the critical dimension of behavior while accounting for environmental constraints.

In this episode, you will learn:

• How to match measurement systems to behavior characteristics
• Why environmental constraints influence measurement selection
• How to ensure collected data represents the true behavior pattern
• How measurement choice affects data interpretation

We will also discuss:

• Clinical ABA examples of selecting measurement procedures
• Everyday examples of measurement decisions in practice
• BCBA exam tips for selecting the correct measurement system
• Common mistakes students make when choosing measurement procedures

Website:
www.amethysttherapyservices.com

Contact:
[email protected]

Stay tuned for C.10: Graphing data in behavior analysis.