Research methods can generally be divided into two main categories: Quantitative and Qualitative. This webinar will provide an overview of quantitative methods with a brief distinction between quantitative and qualitative methods. We will focus on when and how to use quantitative research and discuss type of variables and statistical analysis.
Presentation will be led by Dr. Carlos Cardillo.
About CORE:
The Culture of Research and Education (C.O.R.E.) webinar series is spearheaded by Dr. Bernice B. Rumala, CORE Chair & Program Director of the Ph.D. in Health Sciences program in collaboration with leaders and faculty across all academic programs.
This innovative and wide-ranging series is designed to provide continuing education, skills-building techniques, and tools for academic and professional development. These sessions will provide a unique chance to build your professional development toolkit through presentations, discussions, and workshops with Trident’s world-class faculty.
For further information about CORE or to present, you may contact Dr. Bernice B. Rumala at Bernice.rumala@trident.edu
CORE: Quantitative Research Methodology: An Overview
1.
Culture
of
Research
and
Educa2on
(CORE):
Quan%ta%ve
Research
Methodology:
An
Overview
1
Dr. Carlos Cardillo
PhD Mentor, Health Sciences Program
2. 2
Posi2on:
PhD
Mentor,
Health
Sciences
Program
Professor
of
Health
Sciences
Exper2se/Experience:
Health
Science
and
Human
Factor
Research
Electroneurophysiological
Research
and
Biosta>s>cs
Research
Design,
Data
Management
and
Sta>s>cal
Analysis
Educa2on/Training:
PhD,
Health
Science
Research/Educator,
Trident
University
Interna>onal,
Cypress,
CA
MS,
Biosta>s>cs,
New
York
Medical
College
BS,
Computer
Systems
Engineering,
North
East
University,
Argen>na
Accomplishments:
Authored
and
co-‐authored
publica>ons
and
book
chapters
Principal
and
co-‐inves>gator
in
large
research
projects
3. 3
We
can
classify
research
methods
in
two
main
categories:
Quan>ta>ve
and
Qualita>ve
This
webinar
will
provide
an
overview
of
quan>ta>ve
methods
with
a
brief
dis>nc>on
between
quan>ta>ve
and
qualita>ve
methods.
We
will
focus
on
when
and
how
to
use
quan>ta>ve
research
and
discuss
the
role
and
type
of
variables
and
sta>s>cal
analysis.
4. 4
Quan>ta>ve
research
is
‘Explaining
phenomena
by
collec>ng
numerical
data
that
are
analyzed
using
mathema>cally
based
methods
(in
par>cular
sta>s>cs)’.
Aliaga
and
Gunderson
(2000)
5. 5
Quantitative research is ‘Explaining phenomena by collecting numerical data that are analyzed using
mathematically based methods (in particular statistics)’.
Aliaga and Gunderson (2000)
Quan>ta>ve
research
is
used
to
acquire
informa>on
about
a
phenomenon
(or
phenomena)
using
numerical
(quan>ta>ve)
data
The
process
is
Formal
–
Objec>ve
-‐
Systema>c
It
is
used
to
describe
variables
by
examining
rela>onships
among
variables
-‐
determine
cause-‐and-‐effect
interac>ons
6. 6
Qualita>ve
research
a^empt
to
understand
specific
organiza>on
or
event
and
do
not
involve
descrip>on
of
a
sample
from
a
popula>on.
It
can
provide
an
explicit
representa>on
of
a
structure,
order
and
general
pa^erns
from
a
group
of
par>cipants
and
generates
data
about
human
groups
in
social
se`ngs.
7. 7
Qualita>ve
research
a^empt
to
understand
specific
organiza>on
or
event
and
do
not
involve
descrip>on
of
a
sample
from
a
popula>on.
Can
provide
an
explicit
representa>on
of
a
structure,
order
and
general
pa^erns
from
a
group
of
par>cipants
and
generates
data
about
human
groups
in
social
se`ngs.
No
treatments
or
manipulate
variables.
Interpreta>on
emerge
from
the
par>cipants.
Concepts,
data
collec>on
tools,
and
methods
can
be
adjusted
as
the
research
progresses.
Provides
an
understanding
through
direct
experience,
repor>ng
and
interpreta>on
from
direct
conversa>ons.
8. 8
Quan2ta2ve
Qualita2ve
Certainty
Single
Mul2ple
Analysis
Sta2s2cs/Numbers
Narra2ve/Words
AHempt
to
generalize
Yes
No
Theory
Test
Develop
Focus
Concise
Complex
Basis
Objec2ve
Subjec2ve
.
Main
differences
are
related
to
data
sample,
collec>on
and
analysis.
However,
the
main
difference
is
in
the
outcome
9. 9
It is important to know the type of research methodology you
will use (e.g. for your dissertation).
However, your research idea will dictate the type of research
methodology you use.
This will also emphasize your data collection methods.
If you are collecting numerical data you are most likely
measuring variables and verifying existing theories;
hypotheses and questioning them.
10. 10
Matching
the
research
design
with
the
research
ques1on…
Research
Type
Question
Variables
Descriptive
What
is
this?
Describes
the
current
state
of
variables
Correlational
What
is
happening?
Describes
the
relationship
between
variables.
Quasi-‐Experimental
What
would
happen
if?
Examines
the
effect
of
a
variable
on
other
variables.
Experimental
How
can
I
make
it
happen?
Examines
the
effect
of
a
variable
that
the
researcher
manipulates
on
other
variables.
11. 11
§ Your
research
ques>on
most
likely
will
determine
the
type
of
research
design.
§ The
most
important
part
on
quan>ta>ve
research
is
not
the
sta>s>cs.
§ Both
qualita>ve
and
quan>ta>ve
research
can
explain
a
phenomenon.
12. Aaer
listening
to
this
presenta>on,
please
indicate
which
of
the
following
research
design
issues
are
more
relevant
for
you.
12
1. Choosing a quantitative or qualitative research
2. Selection of type of quantitative research (experimental, quasi-
experimental, descriptive, correlational)
3. Collecting data for your research
4. Selection of right statistical analysis
15. ¡ How
to
prepare
your
teaching
philosophy
for
jobs
in
academia
¡ How
to
prepare
your
research
philosophy
for
jobs
in
academia
¡ Round
table:
A
highlight
of
careers
in
the
field
¡ How
to
cri>cally
review
a
research
ar>cle
¡ Repor>ng
data:
How
to
write
and
present
sta>s>cs
¡ Qualita>ve
Research
Methodology:
An
Overview
15
16. ¡ Questions or comments on Quantitative
research methods? Please ask Dr. Cardillo now
¡ C.O.R.E Contact: Dr. Bernice B. Rumala
bernice.rumala@trident.edu
¡ Learn more about our doctoral programs in
business, health sciences and education:
https://www.trident.edu/degrees/doctoral/
Thank you for attending!
16