Issues in the selection and use of mechanical transducers to directly measure motor activity in clinical settings

Pfadt, Albert; Tryon, Warren W.

doi:10.1016/s0270-3092(83)80006-x

Cited by 9 publications

(2 citation statements)

References 60 publications

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“…However, Johnston and Pennypacker do give primacy to mechanical transducers relative to human observers for many purposes and they recommend that "given their strategic advantages, researchers should fully consider the possibilities for using machines as transducers before turning to humans" (p. 118). A similar conclusion was reached by Pfadt and Tryon (1983), who described a variety of uses for mechanical transducers in clinical settings. In this sense, then, behavioral assessment can provide the equivalent of "measurement by gauges" that results in variable data.…”

Section: The Behavioral Stream As a Work Processsupporting

confidence: 69%

Using Statistical Process Control to Make Data‐based Clinical Decisions

Pfadt

Wheeler

1995

J of App Behav Analysis

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Applied behavior analysis is based on an investigation of variability due to interrelationships among antecedents, behavior, and consequences. This permits testable hypotheses about the causes of behavior as well as for the course of treatment to be evaluated empirically. Such information provides corrective feedback for making data-based clinical decisions. This paper considers how a different approach to the analysis of variability based on the writings of Walter Shewart and W. Edwards Deming in the area of industrial quality control helps to achieve similar objectives. Statistical process control (SPC) was developed to implement a process of continual product improvement while achieving compliance with production standards and other requirements for promoting customer satisfaction. SPC involves the use of simple statistical tools, such as histograms and control charts, as well as problem-solving techniques, such as flow charts, cause-and-effect diagrams, and Pareto charts, to implement Deming's management philosophy. These data-analytic procedures can be incorporated into a human service organization to help to achieve its stated objectives in a manner that leads to continuous improvement in the functioning of the clients who are its customers. Examples are provided to illustrate how SPC procedures can be used to analyze behavioral data. Issues related to the application of these tools for making data-based clinical decisions and for creating an organizational climate that promotes their routine use in applied settings are also considered.

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Section: The Behavioral Stream As a Work Processsupporting

confidence: 69%

Using Statistical Process Control to Make Data‐based Clinical Decisions

Pfadt

Wheeler

1995

J of App Behav Analysis

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“…Particularly when the average occurrence per session is rare (two or less), the control limits computed from count data will be relatively insensitive to changes in the running record compared to variable measurements (Wheeler & Chambers, 1992). Examples of the use of variable data (direct measurements of behavior provided by mechanical transducers) for behavior assessment can be found in Pfadt and Tryon (1983) and Pfadt (1987). Specific applications.…”

Section: Using Control Charts To Evaluate Baselinesmentioning

confidence: 99%

Applying Statistical Process Control to Clinical Data: An Illustration

Pfadt

Cohen

Sudhalter

et al. 1992

J of App Behav Analysis

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Preparation of this article was supported in part by funds from the New York State Office of Mental Retardation and Developmental Disabilities. We dedicate this artide to the memory of David Chambers, who was a teacher with profound insight into the principles of statistical process control. We are grateful to Scott Geller for editorial guidance and for comments from reviewers that helped shape our commentary so that it might address more dearly the needs of applied behavior analysts.Requests for reprints should be sent to

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