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Fig. 2 The interaction effect between message condition and cultural group on purchase intentions.
Two-way ANOVA results revealed significant interaction between message condition and cultural group (F (1, 195) = 5.62, p < .05, η2 = .03) (see Fig. 1).
Two-way ANOVA results revealed a significant interaction between message condition and cultural group (F (1, 196) = 5.18, p < .05, η2 = .03) (see Fig. 2).
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There were 55 Koreans and 45 Americans in the concrete message condition, and there were 55 Koreans and 45 Americans in the abstract message condition.
Four types of driving demands (baseline, narrow lane, pace clock, combined) were crossed with three levels of message condition (no message, paragraph, parsed), and message condition was nested by two trigger points (far, near), resulting in five combinations (only paragraph and parsed conditions were crossed with trigger points).
To isolate areas activated during the message condition, we investigated the main effect of the message, contrasting presence and absence of the expert's advice (MES-NOM).
No difference in outcomes between tailored vs. generic message conditions.
Although there were no regions of significance at the p ≤.05 level, the association between condition and message derogation approached significance (p ≤.10) for active participants (60 min or more of MVPA on at least 5.4 days a week).
We randomly assigned 811 participants to one of six message conditions as part of a 3 (point of reference: family versus community versus bear) × 2 (message framing: gain versus loss) between-subjects factorial design or a control condition.
A typical GCP exchanges control messages to provide message delivery guarantees, and a key point in the configuration of such a protocol is to establish the right trade-off between message overhead and delivery latency.
For pushed message enrollees, there is no clear relationship between message type and success rates because delivery success of voice messages was significantly higher among pregnancy-message enrollees than child-message enrollees, but the opposite was true for pushed SMS messages.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com