Statistics and Single Subject Research Methodology

By Jonathan M. Campbell, C. V. Herzinger. 2009

64 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Education, Food Science

View Paper: https://www.semanticscholar.org/paper/46cf6d64a913a2985afc8f89c831264c02bb1860

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Breda V. O’Keeffe
2. Daniel M. Maggin
3. Austin H. Johnson

In Education

1. R. Horner
2. Breda V. O’Keeffe
3. Daniel M. Maggin
4. Thomas Kratochwill
5. S. Odom
6. Austin H. Johnson
7. W. Shadish
8. G. Sugai

In Food Science

1. Breda V. O’Keeffe
2. Daniel M. Maggin
3. Austin H. Johnson

Citations in the corpus

• Single-Case Intervention Research Design Standards (2013, methodology): “Over the years, a large number of procedures have been recommended including, for example, analysis of variance, time-series analysis, hierarchical linear modeling, and nonparametric randomization tests (see Campbell & Herzinger, 2010; Kazdin, 2011; Kratochwill, 1978; Kratochwill & Levin, 1992).”
• Visual analysis in single case experimental design studies: Brief review and guidelines (2014, unknown): “As highlighted by Cooper et al. (2007), visual analysis of SCED data answers two questions: “(1) Did behaviour change in a meaningful way, and (2) if so, to what extent can that change in behaviour be attributed to the independent variable” (p.”
• A Quantitative Synthesis of Methodology in the Meta-Analysis of Single-Subject Research for Students with Disabilities: 1985–2009 (2011, methodology): “Despite the absence of such measures within the syntheses, their prevalence within singlesubject meta-analysis will undoubtedly increase in the coming years (Campbell & Herzinger, 2010; Kratochwill et al., 2010).”