Combining Nonoverlap and Trend for Single-Case …

Author's personal copyCombining Nonoverlap and Trend for Single-Case Research: Tau-URichard I. ParkerKimberly J. VannestJohn L. DavisStephanie B. SauberTexas A&M University at College StationA new index for analysis of Single-Case research data wasproposed, Tau-U, which combines Nonoverlap betweenphases with Trend from within the intervention phase. Inaddition, it provides the option of controlling undesirablePhase A Trend . The derivation of Tau-U from Kendall'sRank Correlation and the Mann-Whitney U test betweengroups is demonstrated. The equivalence of Trend andnonoverlap is also shown, with supportive citations fromfield leaders. Tau-U calculations are demonstrated forsimple AB and ABA designs. Tau-U is then field tested ona sample of 382 published data series. Controllingundesirable Phase A Trend caused only a modest changefrom Nonoverlap . The inclusion of Phase B Trend yieldedmore modest results than simple Nonoverlap .

Author's personal copy Combining Nonoverlap and Trend for Single-Case Research: Tau-U Richard I. Parker Kimberly J. Vannest John L. Davis Stephanie B. Sauber

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  Trends, Single, Combining, Combining nonoverlap and trend for single, Nonoverlap

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