https://manuals.pqstat.pl/ 2026-05-21T19:30:46+00:00 https://manuals.pqstat.pl/ https://manuals.pqstat.pl/lib/tpl/dokuwiki/images/favicon.ico text/html 2022-02-15T16:56:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:wielowympl:przygpl:interpl Interctions Interactions are considered in multidimensional models. Their presence means that the influence of the independent variable () on the dependent variable () differs depending on the level of another independent variable () or a series of other independent variables. To discuss the interactions in multidimensional models one must determine the variables informing about possible interactions, i.e the product of appropriate variables. For that purpose we select the text/html 2022-02-26T15:36:14+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:wielowympl:przygpl:kodpl Variables coding When preparing data for a multidimensional analysis there is the problem of appropriate coding of nominal and ordinal variables. That is an important element of preparing data for analysis as it is a key factor in the interpretation of the coefficients of a model. The nominal or ordinal variables divide the analyzed objects into two or more categories. The dichotomous variables (in two categories, text/html 2022-02-28T12:16:56+00:00 Anonymous (anonymous@undisclosed.example.com) https://manuals.pqstat.pl/en:statpqpl:wielowympl:przygpl:propscore Matching groups Why is group matching done? There are many answers to this question. Let us use an example of a medical situation. If we estimate the treatment effect from a fully randomized experiment, then by randomly assigning subjects to the treated and untreated groups we create