l2 Flashcards
These are mental abstractions derived from the combination of concepts, or the mental representation of the world around you.
Constructs
These refer to one or more observable and measurable characteristics or attributes of people, groups, or communities that take on different values.
variables
Variables in Quantitative R.
Constructs
Variables
types of variables
-Independent
-Dependent
-Extraneous
-Categorical
-Numerical
These are variables that cause changes in a phenomenon.
Independent Variables
It occurs prior to all variables.
Independent Variables
It is also called as the treatment, manipulated or predictor variables
Independent Variables
These are the variables affected by the independent variables.
Dependent V.
It is also referred to as outcome or response variable.
Dependent V.
These variables are usually indicated in an experimental research.
Extraneous V.
They are not included in the study but in one way or another causes effect on the dependent variable.
Extraneous V.
These variables are used to characterize and describe the quality of data. Therefore, it does not include numerical values.
Categorical V.
These enable the classification of data based on given options that do not follow a rank or sequence.
Examples:
Gender: Male / Female
Religion: Islam / Christianity / Buddhism
Nominal V.
These characterize data using a certain rank or order.
Examples:
Size: Small / Medium / Large
Satisfaction: Unsatisfied / Neutral / Very Satisfied
Ordinal Variables
These variables give details regarding the number or level of something.
Numerical V.
It also counts the frequency of responses or effect.
Numerical Variables
These are variables in which values are based on a given interval or continuum.
Examples:
Temperature: 34 – 36° (Normal)
IQ: 120 – 140 (Superior)
Continuous Variables
These are the highest level of measurement and accurately compare data because they are based on a “true zero point.”
Examples:
Test Scores
Age
Ratio Variables
Purposes of Variables
Classifying
Measuring
Explaining
Assessing Relationships
Through variables, we could classify our information and other components of research according to attributes or factors.
Classifying
Variables allow us to measure the frequency, magnitude, and impact among others of a particular subject or concept.
Measuring
By identifying particular variables and choosing appropriate indicators, you can explain a particular phenomenon.
explaining
Variables are critical elements of assessing relationship because without them, we cannot examine how these are related to one another.
Assessing Relationships
