Chapter 2- Classification of Variables
Univariate study
only one variable is being studied
Categorical Variables
Ordinal, Nominal, Dichotomous, and Polychotomous
Non-experimental Variables
Predictor and Criterion Variables
Numeric Variables
Are variables with values that describe a measurable numerical quantity and answer the questions "how many" or "how much."
Numerical Variables
Continuous and Discrete Variables
Classifications of Variables
Numeric, Categorical, Experimental, Non- Experimental and Variables according to the number being studied
Categorical Variables
are variables with values that describe a quality or characteristics of a data unit like "what type" or which category."
Discrete Variables
ex: Number of registered cars, number of business locations, number of children in the family, population of students, population of students, and total number of faculty
Continuous Variables
ex: time, age, temperature, height, and weight
Dichotomous Variables
represent only two categories
Extraneous variables
these are also called mediating or intervening variables. (covariate variables)
Criterion Variables
these are usually influenced by the predictor variables
Polychotomous Variales
these are variables that have many categories
Nominal Variables
these are variables whose values cannot be organized in a logical sequence
Dependent Variables
these variables are usually affected by the manipulation of independent variables. (response or predicted variable)
Continuous Variables
these variables can assume any value between a certain set of real numbers. It is also called as Interval Variables
Ordinal Variables
these variables can take a value which can be logically ordered or ranked
Predictor Variables
these variables change the other variable/s in a non-experimental study
Bivariate study
two variables are being studied
Experimentalvariables
Emple: Use of Gardening Tools and Types of Fertilizer: Their Effects on the Amount of Harvest
Non-Experimental Variables
Ex: Competencies of Teachers and Students' Behavior in Selected Private Schools
Ordinal Variables
Ex: academic grade, clothing size, measures of attitudes like strongly agree etc.
Nominal Variables
Ex: business types, eye colors, kinds of religion, types of learners
Polychotomous Variales
Ex: educational attainment, level of performance
Dichotomous Variables
Ex: male and female, yes or no, true or false
Experimental Variables
Independent, Dependent, and Extraneous Variables
Independent Variables
These variables are usually manipulated in an experiment. (manipulated or explanatory)
Discrete Variables
These variables can only assume any whole value within the limits of the given variables
Variables according to the number being studied
Univariate, Bivariate, and Polyvariate study
Variable
is any factor or property that a researcher measures, controls, and/or manipulates
Polyvariate Study
more than 2 variables are being studied