Literature DB >> 29574711

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

Katie Wolfe1, Michael A Seaman1, Erik Drasgow1, Phillip Sherlock1.   

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.
© 2018 Society for the Experimental Analysis of Behavior.

Keywords:  single-subject experimental design; visual analysis; visual inspection

Mesh:

Year:  2018        PMID: 29574711     DOI: 10.1002/jaba.453

Source DB:  PubMed          Journal:  J Appl Behav Anal        ISSN: 0021-8855


  8 in total

1.  Correspondence between Fail-Safe k and Dual-Criteria Methods: Analysis of Data Series Stability.

Authors:  John Michael Falligant; Michael P Kranak; Jonathan D Schmidt; Griffin W Rooker
Journal:  Perspect Behav Sci       Date:  2020-05-20

2.  Evaluating sources of baseline data using dual-criteria and conservative dual-criteria methods: A quantitative analysis.

Authors:  John Michael Falligant; Molly K McNulty; Michael P Kranak; Nicole L Hausman; Griffin W Rooker
Journal:  J Appl Behav Anal       Date:  2020-04-26

3.  Statistical Decision-Making Accuracies for Some Overlap- and Distance-based Measures for Single-Case Experimental Designs.

Authors:  Michael T Carlin; Mack S Costello
Journal:  Perspect Behav Sci       Date:  2021-11-22

4.  Quantitative Techniques and Graphical Representations for Interpreting Results from Alternating Treatment Design.

Authors:  Rumen Manolov; René Tanious; Patrick Onghena
Journal:  Perspect Behav Sci       Date:  2021-05-13

5.  Further Analysis of Advanced Quantitative Methods and Supplemental Interpretative Aids with Single-Case Experimental Designs.

Authors:  John Michael Falligant; Michael P Kranak; Louis P Hagopian
Journal:  Perspect Behav Sci       Date:  2021-10-22

6.  Implementing Automated Nonparametric Statistical Analysis on Functional Analysis Data: A Guide for Practitioners and Researchers.

Authors:  Michael P Kranak; Scott S Hall
Journal:  Perspect Behav Sci       Date:  2021-05-24

7.  Machine Learning to Analyze Single-Case Data: A Proof of Concept.

Authors:  Marc J Lanovaz; Antonia R Giannakakos; Océane Destras
Journal:  Perspect Behav Sci       Date:  2020-01-21

8.  Agreement between visual inspection and objective analysis methods: A replication and extension.

Authors:  Tessa Taylor; Marc J Lanovaz
Journal:  J Appl Behav Anal       Date:  2022-04-27
  8 in total

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