More importantly, though, mean centering does not really affect multicollinearity. Without the interaction terms, in fact, the results with and without mean centering are identical. And if you calculate effects taking everything into account, you get the same results either way. Mean centering ...
Learn about factor analysis - a simple way to condense the data in many variables into a just a few variables.
Although several studies have focused on applying Importance-Performance Analysis (IPA) as a cutting-edge quantitative methodology in many different resear
Financial well-being is a desirable state as it benefits individuals, families, organizations, and society, and these benefits reach beyond the financial d
Clearly, the green line does not fit the data at all. Its slope is nowhere close to being correct, and its fitted values are biased. When it comes to using and interpreting the constant in a regression model, you should almost always include the constant in your regression model even thoug...
Multicollinearity was assessed by inspection of the variance inflation factors and tolerance statistics [32]. In addition to basic descriptive statistics, correlation analysis and t-tests to compare means, stepwise hierarchical regression analysis was performed to examine the predictive values of the inde...
‘someone who is unemployed’ the occupational prestige scores determined by the researchers of the SCIF-study were used (0 and 5 respectively) [50]. The Position Generator also enabled to calculate themean occupational prestigein respondents’ network. Lin and Dumin state that people’s position...
In the Internet age, some online factors, such as online self-presentation, related to life satisfaction have received much attention. However, it is uncle
Due to having multiple independent variables that are potentially correlated, we assessed for multicollinearity by checking the variable inflation factor (VIF) and tolerance collinearity statistics in SPSS regressions. In our models, VIF and tolerance were within range (VIF range across IVs = 1.02–2.6...
Table 5illustrates the results of the multiple linear regression analyses and provides insight into the relationship between the stage factors and the overall co-creation experience. The VIF values of the factors in each stage are less than 5, indicating that there is no multicollinearity in the ...