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You can edit the digital recording, reducing static and other analog noise with filtering software and trimming excess lead-in time and adding fade-ins and simple effects with a wave form editor. Then you need a burning program to put the final product on a disc.
Tests of simple effects with Bonferroni corrections were conducted to track performance of each group from before to after the intervention.
Tests of simple effects with Bonferroni corrections indicated that for the Intervention First group, the RTT scores were higher at Time 2 compared to Time 1, t(19) = 5.02, p < .001, d = 1.12, which shows improved performance after the intervention was delivered.
Analysis of simple effects with orientation cuing at validly cued spatial locations revealed no between subjects interaction between high and middle spans for orientation cuing, F 1, 16) = 1.125, p =.305, η =.066.
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This decrease was expressed for all response numbers (p<0.001 for each simple effect) with exception of R5 (F(1/44) = 0.4, p = 0.5).
Table 2 contains mean reaction times (RTs) in milliseconds and proportion correct for each condition for high and low span groups with significant simple effects marked with an asterisk.
Table 1 contains mean reaction times (RTs) in milliseconds and proportion correct (ACC) for each condition for high and low span groups with significant simple effects marked with an asterisk.
In G-SAIM we simulated simple effects of with- and between-object grouping.
We ran five analyses for each effect (i.e., the two main effects, the interaction and the four simple effects): one with two dummy variables for the behavioural measure ('low', corresponding to rating 1, and 'high' corresponding to rating 3), one for each dummy variable separate (given the low power of these moderation analyses), and one for each dichotomised manipulation quality variable.
For the outcome variables with significant interaction of life event stress and COPD, the simple effects of their relationships with life event stress score were investigated respectively in participants with and without COPD.
These simple effects are all consistent with the segment prediction account.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com