2019
DOI: 10.1002/jaba.549
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A comparison of sources of baseline data for treatments of problem behavior following a functional analysis

Abstract: It is common practice in research on the treatment of problem behavior to compare levels of targeted behaviors during treatment to levels when treatment is not in place. Some researchers use data collected as part of a multielement functional analysis as the initial baseline, whereas others collect new baseline data following completion of the functional analysis. We evaluated whether the source of baseline data influences the reliability and efficiency of decision-making. Results suggest that similar decision… Show more

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Cited by 12 publications
(13 citation statements)
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“…These results are mainly consistent with the conclusions from Scheithauer et al (), which suggest that using data from previously conducted FAs may not necessarily influence the reliability of clinical decision making. Of course, results from the current study do not directly relate to or measure the reliability of clinical decision making across different sources of baseline data per se, but rather highlight the risk for false positive outcomes associated with different baseline sources characterized by (un)systematic variability.…”
Section: Resultssupporting
confidence: 91%
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“…These results are mainly consistent with the conclusions from Scheithauer et al (), which suggest that using data from previously conducted FAs may not necessarily influence the reliability of clinical decision making. Of course, results from the current study do not directly relate to or measure the reliability of clinical decision making across different sources of baseline data per se, but rather highlight the risk for false positive outcomes associated with different baseline sources characterized by (un)systematic variability.…”
Section: Resultssupporting
confidence: 91%
“…Thus, the purpose of the current investigation was to extend findings by Scheithauer et al () by evaluating the proportion of false positives for baseline series generated by FA data and original baseline data collection using procedures developed by Fisher et al () and employed in a manner similar to Lanovaz et al (). The procedure described by Lanovaz et al (and also Falligant et al, ) is an ideal tool to examine baseline data because any changes in the mean or trend within baseline series reflect uncontrolled variation and not the impact of implementation of an independent variable.…”
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confidence: 97%
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