This document defines key terms related to variables in research. It discusses that a variable is anything that can take on different values, such as gender or marital status. There are several types of variables: independent variables which are manipulated by the researcher; dependent variables which depend on the independent variables; moderator variables which influence the relationship between independent and dependent variables; intervening variables which link independent and dependent variables but cannot be directly measured; control variables which are kept constant during an experiment; and extraneous variables which are uncontrolled factors that could influence dependent variables. Research involves identifying these different types of variables to understand relationships and effects.
types of variables in research, Dependent independent, moderator,quantitative qualitative,continuous discontinuous,demographic,extraneous, confounding,intervening, control
Validity:
Validity refers to how well a test measures what it is purported to measure.
Types of Validity:
1. Logic valididty:
Validity which is in the form of theory, statements. It has 2 types.
I. Face Validity:
It is the extent to which the measurement method appears “on its face” to measure the construct of interest.
• Example:
• suppose you were taking an instrument reportedly measuring your attractiveness, but the questions were asking you to identify the correctly spelled word in each list
II. Content Validity:
Measuring all the aspects contributing to the variable of the interest.
Example:
For physical fitness temperature, height and stamina are supposed to be assess then a test of fitness must include content about temperatures, height and stamina.
2. Criterion
It is the extent to which people’s scores are correlated with other variables or criteria that reflect the same construct
Example:
An IQ test should correlate positively with school performance.
An occupational aptitude test should correlate positively with work performance.
Types of Criterion Validity
Concurrent validity:
• When the criterion is something that is happening or being assessed at the same time as the construct of interest, it is called concurrent validity.
• Example:
Beef test.
Predictive validity:
• A new measure of self-esteem should correlate positively with an old established measure. When the criterion is something that will happen or be assessed in the future, this is called predictive validity.
• Example:
GAT, SAT
Other types of validity
Internal Validity:
It is basically the extent to which a study is free from flaws and that any differences in a measurement are due to an independent variable and nothing else
External Validity
• It is the extent to which the results of a research study can be generalized to different situations, different groups of people, different settings, different conditions, etc.
types of variables in research, Dependent independent, moderator,quantitative qualitative,continuous discontinuous,demographic,extraneous, confounding,intervening, control
Validity:
Validity refers to how well a test measures what it is purported to measure.
Types of Validity:
1. Logic valididty:
Validity which is in the form of theory, statements. It has 2 types.
I. Face Validity:
It is the extent to which the measurement method appears “on its face” to measure the construct of interest.
• Example:
• suppose you were taking an instrument reportedly measuring your attractiveness, but the questions were asking you to identify the correctly spelled word in each list
II. Content Validity:
Measuring all the aspects contributing to the variable of the interest.
Example:
For physical fitness temperature, height and stamina are supposed to be assess then a test of fitness must include content about temperatures, height and stamina.
2. Criterion
It is the extent to which people’s scores are correlated with other variables or criteria that reflect the same construct
Example:
An IQ test should correlate positively with school performance.
An occupational aptitude test should correlate positively with work performance.
Types of Criterion Validity
Concurrent validity:
• When the criterion is something that is happening or being assessed at the same time as the construct of interest, it is called concurrent validity.
• Example:
Beef test.
Predictive validity:
• A new measure of self-esteem should correlate positively with an old established measure. When the criterion is something that will happen or be assessed in the future, this is called predictive validity.
• Example:
GAT, SAT
Other types of validity
Internal Validity:
It is basically the extent to which a study is free from flaws and that any differences in a measurement are due to an independent variable and nothing else
External Validity
• It is the extent to which the results of a research study can be generalized to different situations, different groups of people, different settings, different conditions, etc.
A measurable characteristic that varies and may change from group to group, person to person, or even within one person over time.
Variable is a logical grouping of attributes, characteristics or qualities that describe an object. It may be either height, weight, anxiety levels, body temperature, income and so on.
Variable is frequently used in quantitative research projects pertinent to define and identify variables.
A variable incites excitement in any research than constants as it facilitate accurate explanation of relationship between the variables.
These slides discuss about the concept and definition of variables, variables in research, operationalisation, types and functions of variables and measurement scales.
Research Variables are the variables affecting one's research study. They are the Independent Variable, Dependent Variable, Constant/Controlled Variable, Extraneous Variables and Intervening Variables.
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2. Research is a systematic inquiry that investigates
hypothesis, suggests new interpretations of data or
texts, and poses new questions for future research
to explore.
Research consists of:-
1. Asking a question that nobody has asked before
2. Doing the necessary work to find the answer
3. Communicating the knowledge you have acquired
to a larger audience.
3.
4. Variable is central idea in Research. Simply defined as,
variable is a concept that varies. It can be in Quantity,
Intensity, Amount and Types.
It takes two or more values.
Variable is a measurable characteristics that varies. It may
change from group to group, person to person or within
person over time.
In research science, variable refer to factor or condition that
can change during the course of an experiment.
Thus, variable is anything that may assume different
numerical and categorical values.
5. Gender is a variable it can take two values:- Male and
Female.
Marital status is a variable. It can take on values of never
married, single, married divorced or widowed.
A variable may be situation specific.
7. Dependent variable is also known as ‘Responding variable’.
It depends on the values that result from the Independent
variables. Simply, the Dependent variable is what is affected
by the Independent variables.
The Dependent variable(DV) is just like name sounds: it
depends upon some factor that you, the researcher,
controls. For example:-
1. How well you perform in a race depends on your Training.
2. How much you earn depends upon the number of hours you
work.
There can be one or more dependent variable in an
experiment.
8. Independent variable is also known as ‘Manipulated
variable’.
Simply, the Independent variable is the condition that you
change in experiment. It is the variable you control.
It is called independent because its value doesn’t affected
by the other variable.
There can be only one Independent variable in an
experiment & it produces one or more results known as
Dependent variable. For example:-
1. Ice-cream leads to Fever.
2. IQ varies with Age.
9. Independent variable Dependent variable
•Presumed cause • Presumed effect
•Stimulus • Response
• Predicted from • Predicted to
• Manipulated • Measured outcome
10. Moderating variable is one that has strong contingent
effect on the Independent & Dependent variable
relationship. That is, the presence of third variable(the
moderating variable).
For example:- If X is the predictor & Y is an outcome
variable then Z is the Moderating variable that affects the
casual relationship of X & Y.
Examples :-
Hours of study
(Independent
variable)
Exam score
(Dependent
variable)
IQ
(Moderati
ng
variables)
11. Intervening variable is a variable whose Existence is inferred
but it can’t be measured and manipulated.
They are not directly observable but that link the
independent and dependent variables. It helps in explain the
relationship between two variables.
INCOME
LEVEL OF
EDUCATION SPENDING
12. Controlled variable is the factor that is kept constant
(unchanged) all throughout the experiment in order to test
the relative relationship of the Interdependent and
dependent variables.
There are many controlled variables in an experiment. It
strongly influences experimental results. For example:-
Q. If we are testing to see how the amount of light received
affects plant growth:
1. In plant growth experiment, water and fertilizer levels are
constant.
13. It is also called “Confounding variables”.
Extraneous variable are factors in the research which may
have an effect on the Dependent variables but which are not
controlled.
Extraneous variables are dangerous. They may damage a
study’s validity.
In other words, these are all variable, which are not the
Independent variable, but could affect the result of the
experiment.
They are things that influence our result, and are a source of
Error. For instance, if we are testing the influence of temp.
on plant growth, we want to make sure that soil type and
amount of water given are constant; otherwise, they are
extraneous variables.