Quantitative analysis in social sciences for PhD Research Scholar – PhD Assistance (1)

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IMPORTANCE OF QUANTITATIVE RESEARCH IN SOCIAL
SCIENCES FOR PHD RESEARCH SCHOLAR An Academic
presentation by Dr. Nancy Agnes, Head, Technical
Operations, Phdassistance Group
www.phdassistance.com Email info_at_phdassistance.co
m
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TODAY'S OUTLINE
In-Brief Introduction Pearsons product-moment
correlation coefficient Concluding remarks
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IN-BRIEF
You will find the b est dissertation research are
as / topics for future researchers enrolled in
Business and management. In order to identify the
future research topics, we have reviewed
the management literature (recent peer-reviewed
studies).
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INTRODUCTION
Q uantitative analysis is used in social sciences
to determine the relationship between an
independent variable (a type of quantity that
captures observed values of things that can be
manipulated) and a dependent variable (the
observed results of manipulating the independent
variable) in a given population.
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For example, you might be interested in
identifying the association between years of
schooling (the independent variable) and earnings
paid to garment workers (the dependent
variable). To determine that association, you'd
need to collect data on workers' years of
schooling and their pay. You might also be
interested in finding the link between a balanced
diet (the independent variable) and
schoolchildren's cognitive abilities.
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In this situation, you'd need to gather data on
food intake, such as the number of meals
consumed each day, as well as administer
cognitive achievement exams in reading, math,
and written language.

• PhD Dissertation on Social Sciences Research Metho
  dology must contain clear academic evidence and
  justification for all the research choices.

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• PEARSONS PRODUCT-MOMENT CORRELATION COEFFICIENT

The Pearson's product-moment correlation
coefficient, often known as Pearson's rho, or
simply Pearson's r, is a standard method for
determining the direction and degree of a
correlation between two variables.
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It is the product of the linear relationship
between a dependent and independent variable. 3
The Pearson's correlation coefficient is defined
as the product of two variables' standard
deviations divided by their covariance. The
standard deviation is a measure of how much
variation exists between the observed values of
the two variables and the mean, whereas
covariance is a measure of how much the two
variables vary together.
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You'll need to employ hypothesis testing and
confidence levels procedures to determine the
relevance of such correlations. You will find the
best dissertation for future researchers enrolled
in business and management. These topics are
researched in-depth at the University of Glasgow,
UK, Sun Yat-sen University, University of St
Andrews and many more.
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When utilising Pearson's r, the independent and
dependent variables must be measured
continuously in interval or ratio scales. Even
though they have no meaningful zero value,
interval variables allow us to detect equally
spaced values in intervals. Temperature measured
on the Fahrenheit scale, where a zero degree
does not mean there is no temperature, but rather
a very cold temperature of around -17.78 degrees
Celsius, is a popular example of an interval
variable.
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In the social sciences, however, we rarely use
interval variables and instead rely on ratio
scales. P hD Qualitative Research Methodology S
ervices Help you to select a perfect research
methodology work. The qualities of ratio scale
variables are similar to those of interval
variables, but they differ in that they have a
definable zero point. Ratio scale variables
include income, expenditures, revenues, costs,
profits, and other continuous variables.
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Ratio scales offer the advantage of being able to
be measured, compared, and ranked in terms of
magnitude differences, such as when two
individuals, A and B, report monthly incomes of
US 2000 and US 1000, respectively, in a
dataset. The correlation coefficient's direction
can range from -1 to 1, passing through zero.
Increases in the independent variable, x, are
related with an increase in the dependent
variable, y, whereas increases in the
independent variable are connected with a
reduction in the dependent variable, y.
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If your data shows that workers with more years
of education earn more money, you can conclude
that there is a positive relationship between
education and pay. The plotted points migrate
from the lower left-hand corner to the upper
right-hand corner of the scattergram in this
hypothetical scenario, as shown in Figure
1. Similarly, if your data shows that higher
alcohol use among workers is linked to premature
death, you can conclude that alcohol intake and
life expectancy are negatively associated.
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Hire PhD Assistance expertsto develop your
research work for your B usiness and Management
dissertation Services. You should be aware that
the level of correlation between two variables,
in either a positive or negative direction, may
not be as obvious as you might think in many
circumstances. Figure 2 depicts the relationship
between the number of children in a household
and the household head's age.
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The Pearson's correlation coefficient (r -0.17)
demonstrates a weak and negative relationship
between the two variables, indicating that the
relationship is not a straight line. Phd
assistance has vast experience in developing
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The existence of exceptionally low and high
values in the scattergram, which are referred to
as outliers by academics. The inclusion of a few
outliers in a dataset might lead to misleading
results, especially when the sample size of your
data is small. Phdassistance experts has
experience in handling Q ualitative Q
uantitative Research in Business and management
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CONCLUDING REMARKS
I've briefly addressed quantitative research appro
aches commonly utilized in development research
in this work.
that are
Some of these procedures are complicated and
necessitate a high level of statistical,
econometric, and study design knowledge. If you
want to conduct a study but don't have a
background in Economics, Statistics, or
Behavioural Sciences, you should seek advice from
a quantitative research methods expert, keeping
in mind the difficulties I've raised throughout
this work.
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Keep in mind that your methodological approach
will be guided by your study aims. Data
gathering will decide whether or not
randomization is viable in terms of context
and/or ethical, budgetary, and time
constraints. It is significant to select a social
science research methodology, which exactly
suits your research work, and you must clearly
state the reason why you have chosen a
particular research method. If you found
difficult in identifying research methodology,
you can consult with Best PhD Research
Methodology Help provider online to identify Best
D issertation Research Methodology.
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