Date of Award

12-2020

Culminating Project Type

Thesis

Degree Name

Applied Behavior Analysis: M.S.

Department

Community Psychology, Counseling and Family Therapy

College

School of Health and Human Services

First Advisor

Kimberly Schulze

Second Advisor

Benjamin Witts

Third Advisor

Odessa Luna

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

autism spectrum disorder, estimation, data collection, classroom, continuous measurement

Abstract

The purpose of this study was to extend previous research comparing continuous data measurement to estimation data by comparing the two when measuring levels of problem behaviors in an applied group setting with three individuals diagnosed with autism spectrum disorder. Many previous research studies have evaluated and confirmed the accuracy of momentary time-sampling data collection as compared to partial-interval recording for measuring problem behavior; however, to date, no research studies have evaluated the use of estimation data recording for measuring problem behavior. Estimation data was analyzed further by comparing it to data attained from common (in practice) discontinuous data (i.e., PIR and MTS) intervals. The results indicated that, as compared to continuous measurement, estimation data was moderately accurate and most closely aligned with 5s PIR data.

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