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What is the root word of variables?
Vary (change)
They are changing qualities or characteristics in research.
Variables
They are factors or properties that the researcher measures, observe, control and or manipulates.
Variables
Classifications of Variables:
Numeric
Categorical
Experimental
Non-experimental
A variable that answers the question “how many” or “how much.” It represents variables with values that describe a numerical quantity.
Numeric Variable
Classification of Numeric Variables:
Discrete
Continuous
Also known as an interval variable. Data is infinite. It can assume any value between a certain set of real numbers.
Examples: time, age, weight, and height.
Continuous Variable
Data can be counted in a finite manner. These variables assume any whole number within the limits of a given variable.
Examples: The number of the registered car in Navotas City, the population of grade 12 students, the number of Covid19 survivors, and the total population of Senior citizens in Barangay Tangos.
Discrete Variable
From the root word, “category” categorical variables are variables with values that describe the quality or characteristics of a given data. It describes categories or groups.
Categorical Variable
Kinds of Categorical Variable:
Ordinal Variables
Nominal Variables
Dichotomous Variables
Polychotomous Variables
Variables with the value which can be logically arranged, ranked, or ordered.
Examples: Academic grades – with honors, with high honors, with the highest honors
Clothing size – extra small (xs), small (s), medium (m), large (l)
Ordinal variables
Variables with the value which cannot be logically arranged, ranked, or ordered.
Examples: Religion, Colors, Languages, Subjects
Nominal variables
Variables that represent only two categories.
Example: Sex – Male and Female; Veracity – True or False
Dichotomous variables
Variables that have many categories
Examples: Level of Performance – good, very good, poor, satisfactory Colors – red, pink, blue, green
Polychotomous variables
They describe the factors that differ between the sample being tested and the sample being controlled.
Experimental variables
Kinds of Experimental Variable:
Independent
Dependent
Extraneous
Variable that the researcher manipulates in an experiment or research. The independent variable is the variable that is different between the groups compared.
Example: A study on learning styles of Grade 12 students at Navotas City and its effect on their Academic Performance.
Independent variables
These are the variables affected by the manipulation of the independent variable. It is sometimes called the predicted variable.
Example: A study on learning styles of Grade 12 students at Navotas City and its effect on their Academic Performance
Dependent variables
Also known as Intervening Variable. These are variables that the researcher does not include in the study but are present in the environment where the research is to be conducted and may affect or influence the conduct of the study.
Example: A study on learning styles of Grade 12 students at Navotas City and its effect on their Academic Performance.
Extraneous variables
Type of research that does not involve the manipulation of control or independent variable where in researchers measure variables as they naturally occur without any further manipulation.
Non-experimental variables
Kinds of Non-experimental variable:
Predictor variable
Criterion variable
A variable that changes the other variable in non-experimental research. Similar to the independent variable in experimental research.
Example: Conduct of Career Orientation Program and Choice of Senior High School Specialization among Grade 10 students.
Predictor Variable
Variable that may be influenced or changed by the predictor variable. Similar to dependent variable in experimental research.
Example: Conduct of Career Orientation Program and Choice of Senior High School Specialization among Grade 10 students.
Criterion Variable