it tends to diminish multicollinearity, especially between the interaction effect and its constituent main effects; it may render our b-coefficients more easily interpretable.We'll cover an entire regression an
Therefore, in our enhanced moderator analysis guide, we show you: (a) how to use SPSS Statistics to detect for multicollinearity through an inspection of correlation coefficients and Tolerance/VIF values; and (b) how to interpret these correlation coefficients and Tolerance/VIF values so that you...
Online-to-offline (O2O) commerce has gained increasing momentum due to its advantages in integrating both online and offline channels. By and large, prior
As the dependent variables were not normally distributed, we assessed the nonparametric Spearman correlation to test for multicollinearity. For the first MANOVA regarding the child sleep variables, correlations between dependent variables were low (r < 0.80) with highest correlation between the score on...
[85], to assess the role of parenting styles and sex in the associations between mothers’ SES and emotional stability. All variables were standardized to minimize multicollinearity. Parameter estimation was performed using bootstrapping with a sample size of 5,000 and 95% confidence intervals ...
Dropping a variable can help reduce complexity and refine the focus of the analysis. Dropping variables can also reduce the risk of multicollinearity and reduce computational time or reduce overfitting. There are also disadvantages associated with dropping variables, as it can reduce the interpretability...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
To further account for multicollinearity, the variance inflation factors (VIF) were calculated, which were well below the threshold value of 10, indicating that multicollinearity was not an issue in the analysis (Aiken et al., 2003). Hypothesis 1 argues that MDL is positively related to the ...
Resilience has been found to have positive impacts on college students’ well-being and mental health. However, we still lack knowledge on how and und
1. Furthermore, the hypothesized relationships were testing with macro program in SPSS, namely process, which was compiled by Hayes (Hayes,2017). It shows that all variables were mean-centered to reduce the risk of multicollinearity of the interaction terms (Aiken et al., 1991). We tested ...