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Mastering the Basics of Visual Analysis

Name: Mastering the Basics of Visual Analysis
Brand: CEUniverse
SKU: va-c
Price: 19.99 USD
Availability: InStock
Rating: 4.34 (131 reviews)

Katie Wolfe & Timothy A. Slocum

4.34 out of 5

(131 customer reviews)

$19.99

BCBA CEUs: 2 CEUs

This tutorial offers a systematic, evidence-based procedure for training individuals to conduct valid and reliable visual analyses of single-subject data. It features extensive discrimination training and practice opportunities; adaptive instruction and remediation for errors; and full audio narration in a self-paced, mobile-friendly format.

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Save for Later SKU: va-c Category: BCBA CEUs Tags: research, single-subject design, visual analysis

Description

Visual analysis of data is a cornerstone of single-subject research. Yet some researchers have found that experts often disagree about what constitutes an intervention effect. This potential lack of consistency across visual analysts can have negative implications for both research and practice. This tutorial offers a systematic, evidence-based procedure for training individuals to conduct valid and reliable visual analyses of single-subject data. It features extensive discrimination training and practice opportunities; adaptive instruction and remediation for errors; and full audio narration in a self-paced, mobile-friendly format.

About the Authors

Katie Wolfe, Ph.D., BCBA-D

Dr. Katie Wolfe is an Associate Professor of Special Education and Applied Behavior Analysis in the Department of Educational Studies. Before pursuing her Ph.D. at Utah State University, she worked in various capacities and settings with children with autism and their families, including as a special educator and as a behavior analyst. Her research interests include the development and implementation of interventions to promote language and communication skills in young children with autism, variables that influence the visual analysis of single-case research data, and supporting practitioners in making data-based decisions. She is also interested in parent and practitioner training. Katie Wolfe teaches courses in applied behavior analysis and single-case research design.

Timothy Slocum, Ph.D.

Dr. Timothy A. Slocum is a Professor and Department Head of the Department of Special Education & Rehabilitation at Utah State University. He earned his doctorate in Special Education at the University of Washington in 1991. Dr. Slocum received the 2011 Fred S. Keller Behavioral Education award from Division 25 of the American Psychological Association and the 2014 Ernie Wing Award for Excellence in Evidence-Based Education from the Wing Institute.

Learning Objectives

Upon completing the tutorial, the learner should be able to:

Describe the basic purposes of single-subject research
Identify the key parts of line graphs that depict behavioral data
Define level and estimate the level of a data path
Define slope and estimate the slope of a data path
Project the slope of baseline data into the intervention phase to compare the projected data pattern to the actual data pattern
Identify whether an intervention may have caused a change in the level or slope of behavior

History

This tutorial was initially developed as part of the first author’s dissertation research at Utah State University. A commercial version was released by FoxyLearning in August 2015. It is updated on an ongoing basis, with significant updates occurring in January 2020, August 2022, and May 2023.

Content

You can access a sample lesson for free below. Please note that your progress on sample lessons is not tracked or recorded.

Module Content

Lesson Content

0% Complete 0/21 Steps

1.1 How does this work?

1.2 Who is this for?

1.3 What will I learn?

1.4 Purpose of Single-Subject Research

1.5 Baseline vs. Intervention

1.6 Baseline vs. Intervention Example

1.7 Purpose of Baseline

1.8 Using Baseline to Describe Data

1.9 Using Baseline to Make Predictions

1.10 Basic Steps for Evaluating an Intervention

1.11 Measure Behavior During Baseline

1.12 Implement the Intervention

1.13 Graph the Data and Use Visual Analysis

1.14 Knowledge Check

1.15 Parts of a Single-Subject Graph

1.16 Practice Identifying Parts of a Graph

1.17 Knowledge Check

1.18 Importance of Replication

1.19 Replication in Single-Subject Research

1.20 Basic Effect

1.21 Review

Lesson Content

0% Complete 0/31 Steps

2.1 Types of Changes in Data Patterns

2.2 Definition of Level

2.3 Estimating Level Visually

2.4 Examples of Level

2.5 Practice Estimating Level

2.6 Estimating Level and Variability

2.7 Estimating Level When Data Are Variable

2.8 Using a Band to Estimate Level

2.9 Using a Band to Estimate Level: Too Low

2.10 Using a Band to Estimate Level: Too High

2.11 Using a Band to Estimate Level: Just Right

2.12 Practice Using a Band to Estimate Level

2.13 Comparing Level in Baseline to Level in Treatment

2.14 Example #1: Comparing Level Between Conditions

2.15 Example #2: Comparing Level Between Conditions

2.16 Practice Detecting a Change in Level

2.17 Detecting Smaller Changes in Level

2.18 Practice Detecting a Smaller Change in Level

2.19 Detecting a Change in Level with Variability

2.20 Detecting a Change in Level with Variability

2.21 Example #1: Predicted Treatment Level

2.22 Example #1: Actual Treatment Level

2.23 Example #2: No Level Change

2.24 Practice Detecting a Change in Level with Variability

2.25 Example of Detecting a Change in Level with Increased Variability

2.26 Example of Detecting a Change in Level with Increased Variability

2.27 Example of Detecting a Change in Level with Increased Variability

2.28 Example of Detecting a Change in Level with Increased Variability

2.29 Example of Detecting a Change in Level with Increased Variability

2.30 Practice Detecting a Change in Level with Increased Variability

2.31 Review

Lesson Content

0% Complete 0/45 Steps

3.1 Definition of Slope

3.2 Example of Increasing Slope

3.3 Example of Decreasing Slope

3.4 Example of Flat Slope

3.5 Example of Increasing Slope with Greater Variability

3.6 Example of Decreasing Slope with Greater Variability

3.7 Practice Describing Slope of Data #1

3.8 Example of Flat Slope

3.9 Example of Slightly Increasing Slope

3.10 Example of Slightly Decreasing Slope

3.11 Practice Describing Slope of Data #2

3.12 Estimating Slope with Variable Data

3.13 First Step in Estimating Slope with Variable Data

3.14 Second Step in Estimating Slope with Variable Data

3.15 Third Step in Estimating Slope with Variable Data

3.16 Estimating Slope with Variable Data Example #1: Connect First and Last Data Points

3.17 Estimating Slope with Variable Data Example #1: Connect High and Low Data Points

3.18 Estimating Slope with Variable Data Example #1: Adjust Angle of Original Slope Line

3.19 Estimating Slope with Variable Data Example #2

3.20 Estimating Slope with Variable Data Example #2: Connect First and Last Data Points

3.21 Estimating Slope with Variable Data Example #2: Connect High and Low Data Points

3.22 Estimating Slope with Variable Data Example #2: Adjust Angle of Original Slope Line

3.23 Estimating Slope with Variable Data Example #2: Be Wary of Single Data Points

3.24 Estimating Slope with Variable Data Example #2: Do Not Let Single Data Points Overly Influence Estimate of Slope

3.25 Estimating Slope with Variable Data Example #3

3.26 Estimating Slope with Variable Data Example #3: Connect First and Last Data Points

3.27 Estimating Slope with Variable Data Example #3: Connect High and Low Data Points

3.28 Estimating Slope with Variable Data Example #3: Adjust Angle of Original Slope Line

3.29 Estimating Slope with Variable Data Example #3: Adjust Angle of Original Slope Line Again

3.30 Estimating Slope with Variable Data Example #4: Connect First and Last Data Points

3.31 Estimating Slope with Variable Data Example #4: Connect High and Low Data Points

3.32 Practice Estimating Slope of Data

3.33 Comparing the Slopes of Two Phases

3.34 Predicting Slope Based on Baseline

3.35 Comparing Observed Slope to Predicted Slope

3.36 Describe the Baseline Slope

3.37 Intervention to Decrease Slope

3.38 Compare Observed Slope to Baseline Slope

3.39 Compare Treatment Slope to Baseline Slope

3.40 Determine if Treatment Caused Change in Slope

3.41 Practice Detecting a Change in Slope

3.42 Detecting a Change in Slope with Greater Variability

3.43 Detecting a Change in Slope with Greater Variability

3.44 Practice Detecting a Change in Slope with Greater Variability

3.45 Review

Lesson Content

0% Complete 0/26 Steps

4.1 Evaluating Slope and Level Together

4.2 Practice Estimating Level

4.3 Example of a Slope Change AND a Level Change

4.4 Example of a Slope Change with NO Level Change

4.5 Example of NO Slope Change with a Level Change

4.6 Example of NO Slope Change and NO Level Change

4.7 Determining if Treatment Data Are Different Than Baseline Predicts

4.8 Example #1: Estimate the Baseline Slope

4.9 Example #1: Extend Line into Treatment Phase

4.10 Example #1: Compare Actual Data to Predicted Data

4.11 “Different” Means Slope OR Level Is Different From Prediction Line

4.12 Example of Treatment Data That Are Different From Predicted Data

4.13 Example #2: Estimate the Baseline Slope

4.14 Example #2: Extend Line into Treatment Phase

4.15 Example #2: Compare Actual Data to Predicted Data

4.16 Practice Detecting a Change Between Treatment and Baseline #1

4.17 Sample Data for an Intervention to Decrease Behavior

4.18 Determine if Actual Data Are Different from Predicted Data

4.19 Example of No Change in Either Slope or Level

4.20 Determining if the Intervention Caused a Change in Level

4.21 Sample Data for an Intervention to Increase Behavior

4.22 When Treatment Data Are Different

4.23 Practice Detecting a Change Between Treatment and Baseline #2

4.24 Introduction to Final Practice Items

4.25 Practice Detecting a Change Between Treatment and Baseline #3

4.26 Review

Additional information

Format	Multimedia Tutorial
Type of CEU	General
Total CEUs	2

131 reviews for Mastering the Basics of Visual Analysis

Roberta Monteiro de Castro Duarte

5 out of 5

April 27, 2026

Clear, informative, and interactive!

Angannette Rose

5 out of 5

April 26, 2026

Very informative for the BCBA journey.

Sandra Triglia

5 out of 5

March 10, 2026

The tutorials are great for refreshers!

Fatima Danishwar

5 out of 5

January 22, 2026

This was a nice refresher. Easy to understand.

Kriti Juneja

5 out of 5

January 8, 2026

Easy to read material but thorough. Did not take much time and can be done quickly at your own pace. Awesome practice questions that helped me understand the subject matter effectively!

Dashawn Petrie

5 out of 5

September 13, 2025

Super informative module on a very important topic.

Pam

5 out of 5

June 12, 2024

Well worth your time.

Anonymous

5 out of 5

January 28, 2024

Great refresher- I appreciated the opportunity to practice these important skills.

deborah.mercier

5 out of 5

October 1, 2023

The practice sections were helpful and kept me engaged. Great training!

Svetlana Yordanova

5 out of 5

September 29, 2023

Very useful module. The presentation is great and good graphs.

Salma Jaramillo

5 out of 5

September 9, 2023

Pleasantly challenging!

Leigh Giles

5 out of 5

August 13, 2023

Really useful and helpful.

DAVID SONG

5 out of 5

July 25, 2023

Good opportunity for review

Lindsey Helms

5 out of 5

July 2, 2023

I love all of the examples. It was a good refresher.

Rianna Yung

5 out of 5

June 7, 2023

Love this! It's very straightforward, clear and easy to complete!

Katie Breneman

4 out of 5

February 6, 2023

Very basic overview of visual analysis. I appreciated the practice opportunities. Lots of individual clicking with these tutorials.

Jennifer Mollema

5 out of 5

December 24, 2022

Great review

penczos

5 out of 5

October 27, 2022

Concise but helpful!

Stacy Gatz

5 out of 5

September 29, 2022

This was a very clear and helpful review of presenting visual data for decision making and information sharing. I found a few nuggets that informed my daily work.

Ellen Balkovec

5 out of 5

August 16, 2022

enjoyed!