You're probably used to the word "variable" in algebra. Letters like x and y are used in place of numbers. Twotypes of variables are used in statistics: Quantitative and categorical. Quantitative variables are numerical: counts, percents, or numbers. Categorical variables are descriptions of groups or things, like "breeds of dog" or "voting preference".
Examples of Quantitative Variables:General rule: if you can add it, it's quantitative. For example, a G.P.A. of 3.3 and a G.P.A. of 4.0 can be added together (3.3 + 4.0 = 7.3), so that means it's quantitative.
Examples of Categorical Variables:As a general rule, if you can't add something, then it's categorical. For example, you can't add cat + dog, or Republican + Democrat.
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Some times. At other times it uses mutually dependent variables (changes in each variable affect the other).
Two or more explanatory variables are collinear when they have a linear relationship with each other. You are usually expected to remove at least one of the variables from your multiple regression analysis.
Whenever you suspect that the passage of time is one of the factors influencing one or more of the other variables you are investigating.
Y = 2X Variables are X and Y If X = 2, then Y = 4 If X = 3, then Y = 6 and so forth. If you vary one then he other changes. Their values are variable.
Statistics and Logic - the political theorist must possess a broad scientific background and a knowledge of current political problems, and he must employ scientific methods in gathering and evaluating data and in drawing conclusions. These involve a proper application of statistical procedures for the quantitative measurement of social phenomena and of logical procedures for the analysis of reasoning.