Mastering the Basics of Visual Analysis

Lesson 1: Introduction to Single-Subject Research
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 2: Level Change
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 3: Slope Change
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 4: Putting It All Together
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
Final Quiz for Mastering the Basics of Visual Analysis
Mastering the Basics of Visual Analysis by Katie Wolfe and Timothy A. Slocum is © 2015-2025 FoxyLearning LLC and distributed under CC BY-NC-SA
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3.31 Estimating Slope with Variable Data Example #4: Connect High and Low Data Points

Mastering the Basics of Visual Analysis Lesson 3: Slope Change 3.31 Estimating Slope with Variable Data Example #4: Connect High and Low Data Points
This is a free preview and your progress is not being tracked. Purchase access to complete this module for CEUs.

If you try to connect the upper and lower data points, that outlier down at zero really throws things off. So, if there is one data point that falls far away from the others, like that one at zero, you can ignore it. In this case, the original blue line is a good estimate of the slope—it is flat.

A sloping line graph displaying variable data with high and low data points, highlighted by a red line and a blue line.
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