Using the dual‐criteria methods to supplement visual inspection: An analysis of nonsimulated data

The purpose of our study was to examine the probability of observing false positives in nonsimulated data using the dual‐criteria methods. We extracted data from published studies to produce a series of 16,927 datasets and then assessed the proportion of false positives for various phase lengths. Ou...

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Veröffentlicht in:	Journal of applied behavior analysis 2017-07, Vol.50 (3), p.662-667
Hauptverfasser:	Lanovaz, Marc J., Huxley, Sarah C., Dufour, Marie‐Michèle
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavior Data analysis Data collection Data Interpretation, Statistical Datasets as Topic - statistics & numerical data dual‐criteria method false positive False Positive Reactions Humans single‐case designs type I error
Online-Zugang:	Volltext
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