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How to ask for English Proficiency? (01_screning_questiosn)
prolific pre-screening
how many cigarettes? (01_screening)
only use prolific prescreening -> only ask, no excl
how to do balancing - problem with exclusion/noshow
good study name for prolific?
Rickard et al (2015): five variables were identified as predictors of postdelay and (or) relative gain effects: data averaging, performance duration, time of testing, training duration, and elderly status
Rickard et al (2022/2015) found that sleep effects were eliminated when
(a) Reactivation inhibition buildup: the duration of training blocks between breaks is reduced from the typical 30 s to 10 s, minimizing the accumulation of block-level reactive inhibition as well as more general task fatigue, two factors can inflate the postsleep gain estimate. | "Empirically, reactive inhibition refers to performance worseningthat can accumulate during a period of continuous training" [...] "worsening during each uninterrupted performance block but improving across blocks"
(b) Circadian time of learning/delay: a 24-hr delay is used instead 12h [...] "XYZ suggest [...] ciracdian [...] negligible, however [...]". Time of testing has strong influence, time of training not. Also: Motivation!
(c1) Test time: the postsleep gain effect is assessed using a learning curve continuity analysis rather than the nearly ubiquitous pretest-posttest difference score which can inflate the postsleep gain estimate due to averaging over online learning
(c2): it involves averaging of results across the last few training blocks to compute a pretest result, and over the first few test blocks to compute a posttest resul [...] constituting a potential online learning confound that has been confirmed in our metaanalyses ->> make both blocks same length?
Rickard et al (2015) recommendations
10s learning blocks
Testing same number of blocks
curve fitting usage
nap studies or varied delay (12h vs 24h)
Rickard et al (2015)
However, the results also confirm strong moderating effects of 4 previously hypothesized variables: averaging in the calculation of prepost gain scores, build-up of reactive inhibition over training, time of testing, and training duration, along with 1 supplemental variable, elderly status. With those variables accounted for, there was no evidence that sleep enhances learning.
Elderly: Those results raise the possibility that elderly subjects have an unusually long warm-up period in the test session, but that any effect that sleep may have on motor sequence performance occurs equivalently for the young and the elderly.
The text was updated successfully, but these errors were encountered:
Rickard et al (2015): five variables were identified as predictors of postdelay and (or) relative gain effects: data averaging, performance duration, time of testing, training duration, and elderly status
Rickard et al (2022/2015) found that sleep effects were eliminated when
(b) Circadian time of learning/delay: a 24-hr delay is used instead 12h [...] "XYZ suggest [...] ciracdian [...] negligible, however [...]". Time of testing has strong influence, time of training not. Also: Motivation!
(c1) Test time: the postsleep gain effect is assessed using a learning curve continuity analysis rather than the nearly ubiquitous pretest-posttest difference score which can inflate the postsleep gain estimate due to averaging over online learning
(c2): it involves averaging of results across the last few training blocks to compute a pretest result, and over the first few test blocks to compute a posttest resul [...] constituting a potential online learning confound that has been confirmed in our metaanalyses ->> make both blocks same length?
Rickard et al (2015) recommendations
Rickard et al (2015)
The text was updated successfully, but these errors were encountered: