Evaluating Single-Case Research Data: A Comparison of Seven Statistical Methods

By Richard I. Parker, Daniel F. Brossart. 2003

144 citations recorded by the source corpus.

Subfields: Developmental and Educational Psychology, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/80bed15dd27fdf49c729a13f30ca4d9eae256733

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In Developmental and Educational Psychology

In Management Science and Operations Research

Citations in the corpus

An improved effect size for single-case research: nonoverlap of all pairs. (2009, methodology): “n o n o v e r l a p a l l p a i r s cannot meet (Parker & Brossart, 2003).”
The Effect of Performance Feedback on Teachers' Treatment Integrity: A Meta-Analysis of the Single-Case Literature (2012, methodology): “The outside consultant, typically a professor or graduate student team with potentially either a local or national reputation, may carry significant expert power, or the power of social influence drawn from a person’s reputation (Raven, 1993). Alternatively, a principal or well-respected school psyc”
Effect Sizes in Single Case Research: How Large is Large? (2005, background): “These results can be compared with those from the earlier study with fabricated data sets (Parker & Brossart, 2003).”
The Improvement Rate Difference for Single-Case Research (2009, methodology): “The literature search and digitizing procedure are described in greater detail in previous articles (Parker & Brossart, 2003; Parker et al. 2005).”
A Review of Single-Case Research in Sport Psychology 1997–2012: Research Trends and Future Directions (2013, methodology): “Alongside both visual and graphical analysis evaluating change in single-case data can also be achieved through tests of statistical significance including traditional parametric and non-parametric statistics (eg, chi-square, t- tests, F- tests, Mann-Whitney U) and time-series analysis (Huitema, ”
Methods for dealing with multiple outcomes in meta-analysis: a comparison between averaging effect sizes, robust variance estimation and multilevel meta-analysis (2017, background): “…to researchers’ biases, the quantitative aggregation of results from a large body of research can offer enhanced objectivity and reliability (Jenson, Clark, Kircher, & Kristjansson, 2007; Manolov & Solanas, 2013; Parker & Brossart, 2003) and contribute to evidence-based research and practice.”
An Application of the What Works Clearinghouse Standards for Evaluating Single-Subject Research (2013, background): “Although a full discussion of issues regarding serial dependence and single-subject data are beyond the scope of the present article, it is widely agreed that even the presence of small and nonsignificant autocorrelations can lead to biased estimates of treatment effect (Parker & Brossart, 2003).”
Single-Case Experimental Designs: A Systematic Review of Published Research and Current Standards (2012, result): “The most recent studies of this kind, performed by Brossart et al. (2006), Campbell (2004), Parker and Brossart (2003), and Parker and Vannest (2009), found that the more promising available statistical analysis methods yielded moderately different results on the same data series, which led them to…”
Effect size calculations and single subject designs (2005, methodology): “More recently, Parker and Brossart (2003) employed seven different methods in 13 single subject experiments rated as effective by visual analysis.”
A meta‐analysis of school‐wide positive behavior support: An exploratory study using single‐case synthesis (2012, methodology): “Data were recalculated by assigning a relative Y value to each data point after the boundaries of the graph had been calibrated (Parker & Brossart, 2003; Parker et al., 2005).”
Interpreting Kendall’s Tau and Tau-U for single-case experimental designs (2018, methodology): “…models may include covariates), and (c) visual analysis and statistical analysis should corroborate one another and when they do not, there is typically a problem in either the visual analysis or the statistical method (e.g., ITSACORR; Huitema, McKean, & Laraway, 2007; Parker & Brossart, 2003).”