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Your search keyword '"Phillip Sherlock"' showing total 2 results
Start Over Author "Phillip Sherlock" Topic 05 social sciences
2 results on '"Phillip Sherlock"'

1. Using linear mixed effects models: A single-case experimental design meta-analysis of functional communication training

Author

Brian Habing, Laura C. Chezan, Phillip Sherlock, Erik Drasgow, and Katie Wolfe

Subjects
050103 clinical psychology, Linguistics and Language, Linear mixed effect model, business.industry, Cognitive Neuroscience, 05 social sciences, Rehabilitation, 050301 education, Single-subject design, Machine learning, computer.software_genre, Speech and Hearing, Functional Communication, Meta-analysis, Mixed effects, 0501 psychology and cognitive sciences, Artificial intelligence, business, Psychology, 0503 education, computer
Abstract

In this study, we extended the meta-analytic literature on single-case experimental design (SCED) studies on functional communication training (FCT) using a linear mixed effects model (LMEM). First...

Published
2018

2. An evaluation of the agreement between the conservative dual-criterion method and expert visual analysis

Author

Katie Wolfe, Phillip Sherlock, Erik Drasgow, and Michael A. Seaman

Subjects
050103 clinical psychology, Sociology and Political Science, media_common.quotation_subject, Design of experiments, 05 social sciences, Statistical parameter, 050301 education, Single-subject design, Agreement, Dual (category theory), Visual inspection, Philosophy, Multiple baseline design, 0501 psychology and cognitive sciences, Psychology, 0503 education, Algorithm, Applied Psychology, media_common
Abstract

The conservative dual-criterion (CDC) method was developed to standardize the analysis of single-subject experimental designs data, but to date its accuracy has been evaluated only by comparing results to the statistical parameters of graphs. Our study investigated agreement between expert visual analysts and the CDC method on 66 AB tiers from published multiple baseline graphs. We found strong agreement between the two methods for certain types of graphs and discuss implications of the findings and areas for future research.

Published
2018

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