Suggestions(1)
Exact(2)
Although initial academic adjustment was only indirectly linked with information sharing, this initial academic adjustment indicator positively predicted general motivation (0.77, p < 0.001), communication skills (0.15, p < 0.001), academic skills (0.15, p < 0.001), and social skills (0.09, p < 0.001), and negatively predicted externalizing behaviors (− 0.14, p < 0.001) (see Table 4).
We included an age adjustment (indicator variables for 2-month age strata from 0 to 11 months and 6-month strata from 12 to 59 months) to control for the changing age distribution of the population over time and a calendar time adjustment (six-month time strata) to control for temporal trends.
Similar(58)
Table 1 presents adjustment indicators for two version of the WHOQOL-OLD scale.
Therefore, the following adjustment indicators were considered (Tabachnick & Fidell 2013): The index χ 2/df (degrees of freedom).
However, we also found that once adjusting for the indirect positive links between teacher contact and the five outcomes (as relayed via the initial adjustment indicators), more teacher contact predicted less favorable outcomes.
In other words, once adjusting for the indirect positive links between teacher contact and these outcomes that were relayed via the initial adjustment indicators, more teacher contact predicted less favorable outcomes in these two domains.
The sample is not representative of the Portuguese population aged 3 to 6 and the criteria measures did not include other social adjustment indicators that have been used in previous studies (e.g., inhibition or peer evaluation).
The Goodness-of-Fit Index (GFI) and the Adjusted Goodness-of-Fit Index (AGFI) are adjustment indicators that reflect the proportion of variance-covariance in the data explained by the model.
In this sense, it was verified that the adjustment indicators with three response options (second model) presented a good fit (χ2/df = 1.56, TLI = 0.94, CFI = 0.95, RMSEA = 0.04) and the model with five response options (first model) showed acceptable but poor fit (χ2/df = 2.92, TLI = 0.87, CFI = 0.89, RMSEA = 0.07) (Table 1) (Marôco, 2014).
Other numerous links are proposed between items, which would allow us to improve still adjustment indicators.
Indeed, recent reviews reveal major inconsistencies across studies in the association between benefit finding and adjustment indicators.
Write better and faster with AI suggestions while staying true to your unique style.
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