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The research assistant helped participants complete the questionnaires, and the questionnaire completion time was approximately 20 25 min. Using G*power version 3.0, a total of 166 individuals were estimated for multiple regression analysis with nine predictors at the alpha level of.05 and medium effect size of.15.
Multiple logistic regression analysis with possible predictors for childhood overweight showed that fetal macrosomia, together with maternal overweight, was indeed an independent predictor for overweight in ODM.
Specifically, the postcourse confidence data were analyzed using a multiple regression analysis, with predictors including precourse responses to the same item (pretest reading confidence), the sums of the raw data scores indicated by the factor groupings in Table 3 (postcourse data), and the epistemological items in Table 5 (postcourse data).
The sample size is based on a power of 80%, a level of significance of 5%, multiple regression analysis with 3 predictor variables and a R-square (proportion of variation explained) of 30% [ 48].
This was determined using the GPOWER computer program for a-priori power analyses [ 23], for a multiple regression analysis with 4 predictor variables, alpha = 0.05, power = 0.90, and a large (0.35) effect of intention and executive function on change in consumption of fruit and vegetables.
A multiple regression analysis with mother snout vent-length (SVL) as continuous predictor and the number of top embryos, the number of attached eggs, and clutch size as dependent variables yielded Wilks' λ = 0.51; F3, 18 = 5.71; P = 0.006.
We therefore ran a multiple regression analysis with the son TRF as response variable, and those of sires and dams as predictors.
We next performed a multiple regression analysis with cued and uncued semantic distance variables from the verb generation task included as predictors of creativity (factor scores).
Data will be analysed in a multiple regression analysis with change in IPV as dependent variable and change in ADHD symptoms as primary predictor.
*** p <.001 All five predictors and the two control variables were entered simultaneously into a multiple regression analysis with Family History-Taking Extent as the outcome variable.
To ascertain the independent predictors of maternal insulin resistance using the homeostasis model assessment (HOMA), stepwise multiple regression analysis with backward selection was performed.
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