M1- LESSON 3 Flashcards
-is any factor or property that a researcher measures, controls, and/or manipulates. It is also the changing quantity or measure of any factor, trait, or condition that can exist in differing amounts or types.
-It is also a logical set of attributes, characteristics, numbers or quantities that can be measured or counted. It is also called data item.
Variables
ENUMERATE THE CLASSIFICATION OF VARIABLES
- NUMERIC VARIABLES
- CATEGORICAL VARIABLES
- EXPERIMENTAL VARIABLE
These are variables with values that describe a measurable numerical quantity and answer the question “how many” or “how much.” These values are considered as quantitative data
Numeric variables.
ENUMERATE THE TWO CLASSIFICATION UNDER THE NUMERIC
-Continuous variable
-Discrete variables
These variables can assume any value between a certain set of real numbers. Some examples are time, age, temperature, height, and weight.
Continuous variable.
These variables can only assume any whole value within the limits of the given variables.
Discrete variables.
These are variables with values that describe a quality or characteristic of a data unit like “what type” or “which category.”
Categorical variables.
ENUMERATE THE CLASSIFICATION UNDER THE CATEGORICAL VARIABLES
-Ordinal variables.
-Nominal variables.
-Dichotomous variables
-Polychotomous variables
These variables can take a value which can be logically ordered or ranked. Some examples are academic grades such as A,B,C; clothing size such as X,L,M,S; and measures of attitudes like strongly agree, agree, disagree, or strongly disagree.
Ordinal variables.
These are variables whose values cannot be organized in a logical sequence. Some examples are business types, eye color, kinds of religion, various languages, and types of learners.
Nominal variables.
These variables represent only two categories. Some examples are gender (male and female), answer (yes or no), and veracity (true or false).
Dichotomous variables
These are variables that have many categories. Some examples are educational attainment (elementary, high school, college, graduate, and post graduate), level of performance (excellent, very good, good, satisfactory, or poor).
Polychotomous variables.
WHAT ARE THE NON-EXPERIMENTAL VARIABLES
- PREDICTOR VARIABLES
- CRITERION VARIABLES
These variables change the other variable/s in a non-experimental study.
Predictor Variables.
These variables are usually influenced by the predictor variables.
Criterion Variables.
