Barely Significant
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“practically significant”

1,559 sentences · 1,559 papers · 1,897 search hits before verification · confirmed specimen

Sighted at

p=0.06

Listed by Hankins (2013) · Otte et al. (2022)

In the literature

As already mentioned, the area of constrained polymer self-assembly is broad and also comprises the separations and chromatographic studies of associating polymer systems [ 32 ] and the behavior of various 2D and 1D systems, including the practically significant topics of structured thin films [ 33 , 34 , 35 , 36 ] and tethered chains [ 37 , 38 , 39 , 40 ].
As China enters a new stage of development and faces a new developmental pattern, the application of digital technology to advance the medical security system and enhance people’s health is practically significant for China to modernize the medical service system and actively and comprehensively promote healthy aging and the “Health China Strategy.” Based on this background, the present study aimed to use data from the 2020 China Health and Aging Tracking Survey (CHARLS) to empirically examine the influence that using mobile Internet has on the health of persons in their middle age and later years.
Of note, this parent‐focused virtual intervention asked parents to engage with their child in 12 h of targeted and structured FMS instruction (a mean of 9.5 h was delivered), and a statistically significant and practically significant increase in children's FMS (measured via the TGMD‐3) in the intervention group, compared to the control group, was found [ 69 ].
To determine the correlation strength, the following criteria were identified and interpreted (according to Guilford’s interpretation of the magnitude of significant correlations, Tredoux and Durheim, 2004 [ 59 ] after van Aswegen and Engelbrecht, 2009 [ 60 ]): slight, almost no relationship, | r xy | < 0.19; low correlation, definite but small relationship, 0.20 ≤ | r xy | < 0.39; practically significant relationship | r xy | ≥ 0.30; moderate correlation; substantial relationship, 0.40 ≤ | r xy | < 0.69; high correlation; strong relationship, 0.70 ≤ | r xy | < 0.89, 0.70–0.89; very high correlation very dependable relationship, 0.90 ≤ | r xy | < 1.00.
Given that athletes often go to great lengths for a 1%–2% improvement in performance, we predict that a 1 kg difference in FM loss (~1.5% of body weight) between dietary interventions would be considered practically significant for this population.