Similarly, when it comes to interactions between two categorical variables, Stata knows how to determine the appropriate proportion for each level of the interaction when asbalanced is specified. For example, consider a linear regression of price on categorical predictors foreign and rep78, as well ...
Collapsing can also be used to combine multiple variables into a single new variable. The command is flexible and can be used in many different ways depending on your needs. How do you delete a variable? To delete a variable, you must first understand the scope of the variable and the lan...
This error can spill over to the estimation of other correlated variables, i.e., industry and occupation experience in an additive model such as the one presented in this paper. By subtracting the mean of firm experience from all the observations of an individual in a firm (a job spell),...
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
Ggplot2: How to specify x labels in a datetime data and two segment lines Beginner question How to average/mean variables in R based on the level of another variable (and save this as a new variable)? Installing readxl, tidyveerse and devtools Get Google trends data - problem wi...
One question, though, is does it matter whether you standardize the variables while the data are in wide versus long format? I.e., should I standardize the continuous X and Y variables at each time point when in wide format then reshape/transform the data to long, or should I first ...
To identify distinct types of participators, we use latent class analysis, a technique that is particularly well suited for identifying how individuals combine a range of political acts in their individual-level “toolbox” of political behavior. The findings show that a participator type is ...
In order to combine data between waves, however, we had to summarise all the data at the one-minute level for the purposes of this analysis, and this may have contributed to the small apparent overestimation in the self-reported measures. A more general implication is that although our ...
‘No, I have not been infected or have not been aware of it’. The first two answer options were recoded as ‘1’ and the last answer option as ‘0’ to create a dummy variable indicating direct experience with COVID-19. We chose to combine the two categories as testing capacity was...
Acting on self-efficacy was based on self-reported sexual behavior in the past 12 months preceding the survey. Independent variables included sex (male or female), age (15–17 or 18–19), the highest level of education (primary or less, secondary or tertiary, vocational education and training...