Mastering the Basics of Visual Analysis

Mastering the Basics of Visual Analysis (CP)

$9.00

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.

If you are completing this module for a course or as a course assignment, you should NOT purchase this individual module. Your instructor will NOT be able to monitor your progress if you purchase this individual module. You should purchase the custom coursepack created by your instructor instead. If you do not have the link to your coursepack, you can search for it or ask your instructor for it.
This is NOT the CEU edition of this module. It does not include a certificate of completion for CEUs. View our CEU modules.

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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 assistant professor of Special Education in the Department of Educational Studies at the University of South Carolina, where she teaches coursework in applied behavior analysis and early childhood special education. She received her PhD in Disability Disciplines from Utah State University in 2013 and is a Board Certified Behavior Analyst.

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:

  1. Describe the basic purposes of single-subject research
  2. Identify the key parts of line graphs that depict behavioral data
  3. Define level and estimate the level of a data path
  4. Define slope and estimate the slope of a data path
  5. Project the slope of baseline data into the intervention phase to compare the projected data pattern to the actual data pattern
  6. Identify whether an intervention may have caused a change in the level or slope of behavior
Technical Requirements
The tutorial requires only an active internet connection and a relatively modern web browser with JavaScript enabled.
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, with a significant update released in January 2020.

Free Preview

You can launch the lessons of the open-access version of this module using the links below. The open-access version does not include the final quiz or our personal notes tool, but the rest of the content is the same. Please note that your completion of open-access lessons for this module will not transfer to or count toward the coursepack edition of the module. In addition, completion data for the open-access version may be purged on a regular basis without notice.

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