Quantitative research in social sciences for PhD Research Scholar – PhD Assistance

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@phdassistance.com

TODAY'S OUTLINE
In-Brief
Introduction
Pearson’s product-moment correlation
coefficient
Concluding remarks

IN-BRIEF
You will find the best dissertation research areas / 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).

INTRODUCTION
Quantitative 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.

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.

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 Methodology must contain
clear academic evidence and justification for all the research choices.

PEARSON’S 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.

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.

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.

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.

In the social sciences, however, we rarely use interval variables and
instead rely on ratio scales. PhD Qualitative Research Methodology
Services & 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.

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.

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.

Hire PhD Assistance expertsto develop your research work for your
Business 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.

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 dissertation topics for
students pursuing the UK dissertation in both engineering and
management. Order Now

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 Qualitative &
Quantitative Research in Business and management research with
assured 2:1 distinction. Talk to Experts Now

CONCLUDING REMARKS
I've briefly addressed quantitative research approaches that are
commonly utilized in development research in this work.
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.

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
Dissertation Research Methodology.

Contact us
UNITED KINGDOM
+44 7537144372
INDIA
+91-9176966446
EMAIL
info@phdassistance.com