Biomedical subjects

Richard I Parker

Publications and source records attributed to Richard I Parker.

3 recordsLinked to original sources

PubMed2006

Increased reliability for single-case research results: is the bootstrap the answer?

There is need for objective and reliable single-case research (SCR) results in the movement toward evidence-based interventions (EBI), for inclusion in meta-analyses, and for funding accountability in clinical contexts. Yet SCR deals with data that often do not conform to parametric data assumptions and that yield results of low reliability. A resampling technique, the bootstrap, largely bypasses statistical assumptions and usually yields more reliable results. This study answers questions about the extent of need for the bootstrap in SCR and its impact on effect size reliability. The bootstrap was applied in Allison et al. mean shift analyses (Faith, Allison, & Gorman, 1997) to data from 166 published AB graphs. Results showed the bootstrap improved reliability of 88% of the analyses and reduced reliability of only 3%. The reliability improvement was large enough to be practically useful. The bootstrap was paired with a method for cleansing data of autocorrelation, which also proved effective. Pending replication, the findings encourage broad application within SCR of both the bootstrap and autocorrelation cleansing.

Case-Control Studies↗

PubMed2006

The relationship between visual analysis and five statistical analyses in a simple AB single-case research design.

This study explored some practical issues for single-case researchers who rely on visual analysis of graphed data, but who also may consider supplemental use of promising statistical analysis techniques. The study sought to answer three major questions: (a) What is a typical range of effect sizes from these analytic techniques for data from "effective interventions"? (b) How closely do results from these same analytic techniques concur with visual-analysis-based judgments of effective interventions? and (c) What role does autocorrelation play in interpretation of these analytic results? To answer these questions, five analytic techniques were compared with the judgments of 45 doctoral students and faculty, who rated intervention effectiveness from visual analysis of 35 fabricated AB design graphs. Implications for researchers and practitioners using single-case designs are discussed.

Case-Control Studies↗

PubMed2003

Solution-focused family therapy with three aggressive and oppositional-acting children: an N = 1 empirical study.

The efficacy of Solution-Focused Family Therapy (SFFT) for helping three families with aggressive and oppositional-acting children (aged 8-9) was examined. The N = 1 multiple-baseline design with three replications used validated measures, a treatment manual, and a treatment integrity measure. The interventions lasted from four to five sessions. SFFT appeared to be effective with the families at post-treatment and 3-month follow up.

Aggression↗