confounding variable

  1. G

    Variable as confounding if it influences other factors in opposite directions?

    I examine the relationship between population density (PD) and the insurance density (ID) taking into account different market exploitations (ME) of an insurance company in municipalities. The correlation matrix (Pearson) shows the following relationships (all high signifikant): PD vs. ID (-)...
  2. A

    Confounding vs. Extraneous Variables?

    I need to know the difference between these two in a psychological research paper I am studying, in which there are two levels of independent variable. The first level is a group with reads in silence, the second group reads aloud. However, there is 48 males and only 26 females in the entire...
  3. K

    determine / eliminate influence of confounding variable on 10 data series

    Any help with the problem below would be greatly appreciated. I have very little knowledge of statistics. I am using excel. I have measured concentrations for 10 different pollutants, in 44 wastewater samples taken over a year (including some 'not detected' which I have set to 0mg/l). The...
  4. L

    Investigation outliers, could data mining be a solution?

    Hi everyone, This is my first post. :wave: I am currently working on a project to investigate the reason for why these providers are outliers on the dataset on a whole. I am finding it very tricky to find statistical methods that "investigate" outliers- as in show you why they are outliers...
  5. D

    When to enter a confounder into a hierarchical regression model?

    Hello all, two questions!: 1. I can't find any resources on this but just wanted to check - am I right to think that to assess the effect of controlling for a confounding variable, you would enter it into a hierarchical regression model at the last step? In other words, you would look at the...