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We used a 2×2×5 mixed design with the between-subject variable "experiment version" (short vs. long) and the repeated measures "item type" (old vs. novel) and "group opinion" (0 to 4 correct responses by the confederates).
The fact that the time allowed for decision was an influential variable (Experiment 1) also suggests that hedonicity is the fundamental mechanism that takes place in emergency when there is no time for deep evaluation.
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In this paper, we examine flexible, optimal designs for realistic mixture-process variable experiments.
Factors affecting its output performance were investigated with single variable experiments.
A limited number of designs for mixture-process variable experiments are available in the literature.
Experiments that combine a mixture experiment with a factorial experiment are generally named mixture-process variable experiments.
According to the excitation power variable experiments, the three peaks can be attributed to the ground states (GS), the first excited states (ES1), and the second excited states (ES2), respectively.
Nonetheless a wealth of opportunities exists to further develop new and very innovative SSTT methods not only for characterizing standard mechanical properties but also to enable both large matrix single variable experiments and highly controlled basic mechanism studies.
These ranges are accepted because the findings would fall within the margin of error expected for slightly variable experiments conducted in different laboratories, or for different techniques used to measure a rate constant.
Experimental design principles for achieving validity and efficiency are required for any multi-variable experiment.
A designed two-level two-variable experiment based on an 8×8 Hadamard matrix was performed in order to identify the key parameters of the phenomenon.
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