CORRELATIONAL RESEARCH
Summary
TLDRThis educational video discusses correlational research, a non-experimental method analyzing relationships between two variables without manipulating them. It covers the definition, purpose, and key aspects of correlation: direction (positive, negative, zero) and magnitude (strong, weak, none). The video clarifies that correlation does not imply causation, distinguishing it from experimental research.
Takeaways
- đ Correlational research is a non-experimental method that studies the relationship between two variables.
- đ It focuses on quantitative data to identify patterns, trends, or insights.
- đ Correlational studies observe how changes in one variable might predict changes in another.
- đ The research design investigates both the direction and magnitude of relationships among variables.
- âĄïž Direction of correlation can be positive, negative, or zero, indicating the type of relationship between variables.
- đ Positive correlation means as one variable increases, the other also increases.
- đ Negative correlation indicates that as one variable increases, the other decreases.
- đ Zero correlation suggests no relationship between the variables, with changes in one not affecting the other.
- đ Magnitude measures how strongly the variables are related, ranging from strong to weak or no correlation.
- â ïž Correlation does not imply causation; correlational research does not establish cause and effect.
- đŹ Unlike experimental research, correlational research does not manipulate variables; it merely measures and observes them.
Q & A
What is correlational research?
-Correlational research is a non-experimental research method that studies the relationship between two variables by analyzing quantitative data to identify patterns, trends, or insights.
Why is correlational research conducted?
-Correlational research is conducted to establish a relationship between two variables and to observe how changes in one variable might correspond to changes in another.
What are the two aspects of correlation discussed in the script?
-The two aspects of correlation discussed are direction and magnitude. Direction refers to whether the relationship is positive, negative, or zero, while magnitude refers to the strength of the relationship.
What does a positive correlation indicate?
-A positive correlation indicates that as one variable increases, the other variable also increases.
Can you provide an example of a positive correlation from the script?
-An example of a positive correlation given in the script is that as the amount of money increases, the level of happiness also increases.
What is a negative correlation?
-A negative correlation indicates that as one variable increases, the other variable decreases.
Can you give an example of a negative correlation from the script?
-An example of a negative correlation provided in the script is that the more classes one skips, the lower the exam scores will be.
What is meant by zero correlation?
-Zero correlation means there is no relationship between the two variables, so changes in one variable do not lead to any changes in the other.
What is the difference between correlation and causation?
-Correlation refers to the relationship between two variables, while causation implies a cause-and-effect relationship. Correlational research does not deal with cause and effect.
How does correlational research differ from experimental research?
-In correlational research, none of the variables under study are manipulated or changed; they are simply measured and observed. In contrast, experimental research involves manipulating variables to observe the effects.
What is the purpose of studying the magnitude in correlational research?
-Studying the magnitude in correlational research helps to understand how strongly related the variables are, which can be categorized as strong, weak, or zero correlation.
Outlines
đ Introduction to Correlational Research
The video script introduces the concept of correlational research, a non-experimental method used to study relationships between two variables. It emphasizes the importance of understanding the direction and magnitude of correlation. The script explains that correlational research is about identifying patterns or trends between variables without manipulating them, unlike experimental research. It also clarifies that correlation does not imply causation, a common misconception. Examples are given to illustrate positive, negative, and zero correlations, such as the relationship between money and happiness, class attendance and exam scores, and intelligence and height.
đ Understanding Magnitude in Correlation
This section of the script delves into the magnitude aspect of correlational research, explaining that it refers to the strength of the relationship between variables. It distinguishes between strong, weak, and zero correlations. The script reinforces the idea that correlational research is observational and does not involve manipulating variables to establish cause and effect. It concludes by emphasizing the observational nature of correlational studies and the importance of understanding the limitations of drawing causal inferences from correlational data.
Mindmap
Keywords
đĄCorrelational Research
đĄVariables
đĄDirection of Correlation
đĄMagnitude
đĄPositive Correlation
đĄNegative Correlation
đĄZero Correlation
đĄCausation
đĄNon-experimental
đĄQuantitative Data
đĄInsights
Highlights
Correlational research is a non-experimental method that studies relationships between two variables.
It focuses on quantitative data to identify patterns, trends, or insights.
The purpose of correlational research is to establish relationships between variables.
Correlational studies observe how changes in one variable may predict changes in another.
The research design investigates the direction and magnitude of relationships among variables.
Variables in correlational research are not manipulated; they are only measured.
Correlational research does not establish cause and effect relationships.
There are three types of correlation: positive, negative, and zero.
Positive correlation indicates that as one variable increases, the other also increases.
Negative correlation shows a reciprocal relationship where one variable decreases as the other increases.
Zero correlation means there is no relationship between the two variables.
Magnitude refers to the strength of the relationship between variables.
Strong correlation indicates a significant relationship between variables.
Weak correlation suggests a less significant relationship.
Correlational research is contrasted with experimental research where variables are manipulated.
The video aims to impart the basic but most important aspects of correlational research.
The channel invites viewers to subscribe for more research-related content.
The presenter emphasizes the importance of understanding correlation versus causation.
Transcripts
a relationship between two variables
like numbers of arts reviewing and exam
scores or young association between
money and happiness or bacha
interesadoja at
correlation now numbers of cups of
coffee and level of alertness cascolar's
charisma choice tarana let's talk about
correlational research
[Music]
hika schoolers hello ka researchers
welcome back to our channel and a ph in
today's video we will cover another um
requested topic from our subscribers
subscriber subscribe
in today's session we will talk about
correlational research i will be sharing
to you its definition
the reason why we conduct this type of
research as well as its two aspects
young direction of correlation and
magnitude in other words i will be
imparting to you the basic but the most
important things that you need to know
about this particular type of research
so capitlanka schoolers researchers
hangouts
correlational research is a
non-experimental research method which
studies the relationship between two
variables
it studies um quantitative data and
identifies whether patterns trends or
insights exist
correlational research precisely is
establishing a relationship between two
variables
in addition the correlational study is
looking for variables that seem to
interact with each other so when you see
one variable changing you have a fair
idea of how the other variable will also
change
now on correlational research design i
get a gamut to investigate the direction
and magnitude of relationships among
variables in a particular population
also it is designed to study the changes
in one characteristic or phenomenon
which correspond to the changes in
another or with one another ayans on the
governing attenua definition as well as
human reasons of using the correlational
research design now let me repeat now
for emphasis if you are interested to
measure the relationship between two
variables particularly if you want to
determine how one variable predicts the
absence or presence of another variable
then it won't correlational research
design
okay
aspects of correlation
una young direction and then the second
one is the magnitude
and direction john puma paso capacitive
correlation
negative correlation or zero correlation
punta tayo a positive correlation
a positive correlation indicates that
there is a positive relationship between
the two variables so dito as one
variable increases the other variable
also increases
bigita you know example so halimbawa as
the amount of money increases the level
of happiness also increases
a negative correlation amount shows
reciprocal relationship
so negative correlation indicates that
there is a negative relationship between
the two variables so dito as one
variable increases the other variable
decreases
so halimbawa the more you skipped
classes
the less you will get
high or good exam scores
zero correlation a man there is no
relationship between the two variables
so it makes a b hand a change in one
variable does not lead to any changes in
the other variable so example nato a
young
relationship between intelligence and
height
so an increase in height does not lead
to any changes in the intelligence of an
individual
and so aside from direction the next
aspect
is what we call magnitude so capacitor
being magnitude it refers to how
strongly related the variables are
sodito merending
una
strong correlation second weak
correlation and then you pat law zero or
no correlation
scholars researchers is
correlational is not causation
okay
and correlational research does not deal
with the cause and effect relationship
case
an effect
between or among variables experimental
research nyan
and
in contrast with experimental research
it's a correlational research none of
the variables under study
are manipulated or changed
it's
a correlational research variables are
just measured okay they are just
measured and
um the associations or the relationships
between these variables are observed and
examined
ayan ka schoolers charisma choice
research study i under non-correlational
type of research if yes
to that researchers
or purpose of conducting the said study
[Applause]
[Music]
in our simple way in one way or the
other i am a guiding
syllable research project thank you paul
so there you have it scholars
researchers thank you for being with me
see you in our next video bye
[Music]
bye
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