with pilot cities as the experimental group and non-pilot cities as the control group, to measure the average treatment effect of SCP on employment using difference
We preregistered to conduct Bayesian analyses on the effects of the training on food choice within each training condition, but did not specify how exactly so therefore we report them as additional analyses. As a robustness check, we also ran a Bayesian mixed logistic regression model with item...
1 Weighted linear combinations means that each variable has a different weight: the factor/component loading that determines how much or little each variable contributes to the composite. This is similar to multiple regression where a variable score is composed of different amounts (regression weights...
Such knowledge has the potential to pave the way for novel, avatar-mediated, clinical assessment avenues, more suitable for those who may experience discomfort in directly addressing self-report scales and clinical intreviews (Brown et al., 2024; Stavropoulos et al., 2022). 1.1. Cyber-...
Multiple papers have been published proving that it is possible to build a working ML IDS based on flow-based data [35]. 3.1. Collecting Data Data collection is of crucial importance in the entire process of building a machine learning model. Providing good quality and sufficient amount of ...
As these methods might be too time-consuming and too expensive for monitoring purposes in algae culture collections, they can be combined with other tests such as multiple agar-plate tests and microscopy. Routine screening can be performed by the easy-to-go methods and at regular intervals; ...
To test our secondary hypothesis of parental education levels and gender as predictors of religiosity, multiple linear regression analysis was used. Other interesting articles If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles...
Correlation coefficients are usually found for two variables at a time, but you can use a multiple correlation coefficient for three or more variables. Regression analysis With a regression analysis, you can predict how much a change in one variable will be associated with a change in the other...
(Stephan et al.2012; Wildschut et al.2010). We posit that this relationship is fragile and that a factor such as “noise,” induced by consumers’ propensity to trade up continually or by multiple competing brands in the market might impede the effects of nostalgic brand positioning. For ...
Using multiple regression, we found that when people reported more stress at the onset of the pandemic, they reported feeling lower sexual desire for their partner. But, contrary to our predictions, when people reported more concern about the financial impact of COVID-19, they reported more sexu...