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291.
Mark R. Dixon John Guercio Terry Falcomata Molly J. Horner Shannon Root Catherine Newell Kimberly Zlomke 《Behavioral Interventions》2004,19(2):91-102
Functional analyses were conducted on four adults with acquired brain injuries who regularly displayed instances of inappropriate verbal behavior including depressive, aggressive, suicidal, profane, and sexually inappropriate utterances. After the functional analysis yielded a maintaining variable for each participant, a function‐based intervention consisting of differential reinforcement of alternative verbal behavior was implemented. Results of the behavioral interventions show that instances of vocal behavior can be assessed and subsequently treated using the functional analysis methodology often reserved for nonverbal forms of behavior. The utility of functional analysis for assessing complex human behavior is discussed. Copyright © 2004 John Wiley & Sons, Ltd. 相似文献
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Keenan A. Pituch Megha Joshi Molly E. Cain Tiffany A. Whittaker Wanchen Chang Ryoungsun Park 《Multivariate behavioral research》2020,55(5):704-721
AbstractIn intervention studies having multiple outcomes, researchers often use a series of univariate tests (e.g., ANOVAs) to assess group mean differences. Previous research found that this approach properly controls Type I error and generally provides greater power compared to MANOVA, especially under realistic effect size and correlation combinations. However, when group differences are assessed for a specific outcome, these procedures are strictly univariate and do not consider the outcome correlations, which may be problematic with missing outcome data. Linear mixed or multivariate multilevel models (MVMMs), implemented with maximum likelihood estimation, present an alternative analysis option where outcome correlations are taken into account when specific group mean differences are estimated. In this study, we use simulation methods to compare the performance of separate independent samples t tests estimated with ordinary least squares and analogous t tests from MVMMs to assess two-group mean differences with multiple outcomes under small sample and missingness conditions. Study results indicated that a MVMM implemented with restricted maximum likelihood estimation combined with the Kenward–Roger correction had the best performance. Therefore, for intervention studies with small N and normally distributed multivariate outcomes, the Kenward–Roger procedure is recommended over traditional methods and conventional MVMM analyses, particularly with incomplete data. 相似文献
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Tiana Ciccarelli Molly Soberman Taylor Leshuk Hannah Cole Farhana Afreen Laurie A. Manwell 《International journal of psychology》2021,56(2):322-330
Can exposure to a cleanliness prime affect moral judgements towards harm reduction strategies (HRS) for individuals with substance use disorders? Our research examined (a) the effect of a cleanliness prime on attitudes towards HRS and (b) whether this effect would be attenuated by a brief educational presentation. Participants were randomly assigned to a priming condition and an educational presentation condition. Results demonstrated that (a) the cleanliness prime did not shift attitudes towards HRS, however, (b) the educational presentations significantly shifted attitudes to be more positive after the Harm Reduction presentation and more negative after the Healthy Living presentation. The literature on priming is mixed and our results support a growing body of research challenging the robustness of cleanliness priming and also demonstrates that brief presentations can change attitudes. Our research has implications for education on the benefits of HRS in reducing disease transmission, refuse in the community, and overdose deaths. 相似文献