Capella University

PSY7711: Measurement and Research in Applied Behavior Analysis

A behavior analysis course on measurement systems, data display and single-subject experimental designs.

Updated October 2026 · 5 min read

PSY7711 teaches the measurement and research skills behind applied behavior analysis. You learn how to measure behavior, show data and judge whether a treatment worked.

Capella's catalog says students gain knowledge of measurement, data display and experimental methods commonly used in ABA, distinguish types of measurement and when to use each, and learn about single-subject design and other research methods.

Prerequisites are PSY5260 and PSY7710, with completion of or concurrent registration in PSY5280. It cannot be fulfilled by transfer.

Course at a Glance

ItemDetails
UniversityCapella University
Course codePSY7711
Credits5
LevelGraduate (behavior analysis)
PrerequisitePSY5260, PSY7710, and completion of or concurrent registration in PSY5280
Who it is forNo restriction stated in the catalog; cannot be fulfilled by transfer
Subject areaABA measurement, data display and research methods

What PSY7711 Covers

The catalog description gives three strands.

StrandWhat it involves
MeasurementDistinguishing types of measurement and deciding when each is appropriate
Data displayPresenting behavioral data so changes can be seen and judged
Experimental methodsSingle-subject designs and other research methods used in the field

Key Concepts Explained

Choosing a Measure

Common dimensions include count, rate, duration, latency and percentage. Choose the one that matches the behavior and the goal. Rate is useful when observation times differ, and duration suits behavior whose length matters.

Invented illustration: A learner makes 12 requests in a 30-minute session and 18 in a 45-minute session. Counts differ, but the rate is 0.4 per minute in both. The rate shows there was no real change.

Data Display

Line graphs let you see level, trend and variability across phases. Label axes, mark phase changes and use consistent scales when comparing graphs.

Single-Subject Designs

Designs such as reversal, multiple baseline, changing criterion and alternating treatments demonstrate experimental control by showing change when the intervention is introduced and not otherwise. Explain which design suits the behavior and why, including when a reversal is not appropriate.

Typical Assignments and How to Approach Them

Capella sets the tasks inside the courseroom, so always follow the instructions and scoring guide there. Across courses like this one, the work usually falls into patterns such as these.

Task typeWhat it testsHow to approach it
Measurement exercisesChoosing and calculating measuresPick the dimension, compute it and interpret the result in words
Graphing assignmentData display skillsPlot clearly, label phases and describe level, trend and variability
Design proposalChoosing a single-subject designState the question, justify the design and describe how control would be shown
Article critiqueEvaluating researchAssess the measure, design, results and limits

Describing a Graph the Way Analysts Do

Visual analysis reads better when you follow a set order.

FeatureWhat to say
LevelWhere the data sit within each phase
TrendThe direction of change within a phase
VariabilityHow much the data bounce around
ImmediacyHow quickly data change after a phase change
ReplicationWhether the effect repeats across phases or tiers

Conclude with whether the data support a functional relation, using cautious language.

A Worked Example: Interval Recording

Time sampling methods trade accuracy for convenience, and course questions often ask you to interpret them. Use invented data to practice.

Observers divide 10 minutes into 20 intervals of 30 seconds. Behavior is scored in 8 of them. Using partial-interval recording the percentage is 8 / 20 = 40 percent. Partial-interval methods tend to overestimate how much behavior occurred, while whole-interval methods tend to underestimate it. So you would state that 40 percent of intervals contained the behavior, not that the behavior happened 40 percent of the time.

Also be ready to explain interobserver agreement: two observers score the same session and you compare their records to judge the reliability of the data.

Where Students Get Stuck

Study Tips for PSY7711

Before You Submit

Graphs often lose marks for small omissions. Check the legend, units and scale before you export.

How We Help with PSY7711

Send the prompt, rubric and data. A writer can walk through calculations, explain designs, check your graph description or prepare a custom answer for study.

We are independent of Capella University and have no affiliation with it. Model work and feedback are there to help you learn ABA measurement and single-case research; what you submit must be your own under Capella's academic integrity policy, and we cannot promise any particular grade or a "Proficient" rating.

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Frequently Asked Questions

What are the prerequisites for PSY7711?

PSY5260 and PSY7710, with completion of or concurrent registration in PSY5280.

Can it be transferred in?

No. The catalog says it cannot be fulfilled by transfer.

How many credits is it?

Capella lists 5 credits.

Which course requires it?

Capella lists PSY7711 as a prerequisite for PSY7305 and PSY7306 (for MS in ABA students) and for PSY7713, and it is a prerequisite or co-requisite for PSY7712.

Does it cover single-subject designs?

Yes. The description says students gain knowledge about single-subject design.

Can you check my graph description?

Yes. We review accuracy, terminology and logic.