755 research outputs found

    New Nonparametric Rank Tests for Interactions in Factorial Designs with Repeated Measures

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    New rank tests for interactions in factorial designs are summarily presented and applied to some common factorial designs with repeated measures. The resulting p‑values of these tests are compared among each other, along with those obtained by parametric and randomization tests

    THE ALIGNED RANK TRANSFORM PROCEDURE

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    Recent work has shown that the rank transform methodology is flawed when applied to multifactor designs with interactions. A simple fix-up is proposed and shown to apply to designs typical of those found in agricultural research including split-plots. Simulation results suggest that the fix-up provides a valid procedure for analyzing multifactor designs when error distributions are symmetric or moderately skewed. The procedure appears to have power advantages over normal theory ANOVA when error distributions are heavy tailed

    Nonparametric Competitors to the Two-Way ANOVA

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    ↵LARRY E. TOOTHAKER is David Ross Boyd Professor of Psychology at the University of Oklahoma, Norman, OK 73019. He specializes in robustness of ANOVA, including repeated measures designs, multiple comparison procedures, and nonparametrics.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

    Rhythmic Micro-Gestures: Discreet Interaction On-the-Go

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    We present rhythmic micro-gestures, micro-movements of the hand that are repeated in time with a rhythm. We present a user study that investigated how well users can perform rhythmic micro-gestures and if they can use them eyes-free with non-visual feedback. We found that users could successfully use our interaction technique (97% success rate across all gestures) with short interaction times, rating them as low difficulty as well. Simple audio cues that only convey the rhythm outperformed animations showing the hand movements, supporting rhythmic micro-gestures as an eyes-free input technique

    Priming to induce paranoid thought in a non clinical population.

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    Freeman et al. reported that a substantial minority of the general population has paranoid thoughts while exposed in a virtual environment. This suggested that in a development phase of a virtual reality exposure system for paranoid patients initially a non-clinical sample could be used to evaluate the system's ability to induce paranoid thoughts. To increase the efficiency of such an evaluation, this paper takes the position that when appropriately primed a larger group of a non-clinical sample will display paranoid thoughts. A 2-by-2 experiment was conducted with priming for insecurity and vigilance as a withinsubject factor and prior-paranoid thoughts (low or high) as a between-subjects factor. Before exposure into the virtual world, participants (n = 24) were shown a video and read a text about violence or about mountain animals. While exposed, participants were asked to comment freely on their virtual environment. The results of the experiment confirmed that exposure in a virtual environment could induce paranoid thought. In addition, priming with an aim to create a feeling of insecurity and vigilance increased paranoid comments in the non-clinical group that otherwise would less often exhibit ideas of persecutio
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