Parcourir Faculté des arts et des sciences – École de psychoéducation – Travaux et publications par sujet "Error rate"

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  • How many tiers do we need? Type I errors and power in multiple baseline designs 

    Lanovaz, Marc; Turgeon, Stéphanie (Springer, 2020-07-29)
    Design quality guidelines typically recommend that multiple baseline designs include at least three demonstrations of effects. Despite its widespread adoption, this recommendation does not appear grounded in empirical evidence. The main purpose of ...

  • Machine learning to analyze single-case data : a proof of concept 

    Lanovaz, Marc; Giannakakos, Antonia R.; Destras, Océane (Springer, 2020)
    Visual analysis is the most commonly used method for interpreting data from singlecase designs, but levels of interrater agreement remain a concern. Although structured aids to visual analysis such as the dual-criteria (DC) method may increase ...

  • Tutorial : artificial neural networks to analyze single-case experimental designs 

    Lanovaz, Marc; Bailey, Jordan D. (American Psychological Association, 2022-07-07)
    Since the start of the 21st century, few advances have had as far-reaching impact in science as the widespread adoption of artificial neural networks in fields as diverse as fundamental physics, clinical medicine, and psychology. In research methods, ...

  • Using single-case designs in practical settings: Is replication always necessary? 

    Is within-subject replication always necessary?
    Lanovaz, Marc; Turgeon, Stéphanie; Cardinal, Patrick; Wheatley, Tara L. (Springer, 2018-05-17)
    Behavior analysts have widely adopted and embraced within-subject replication through the use of reversal and multielement designs. However, the withdrawal of treatment, which is central to these designs, may not be desirable, feasible, or even ethical ...