QUANTI RESEARCH Flashcards
(71 cards)
● It is reliable and objective.
● It uses statistics to generalize a finding.
● It reduces and restructures a complex problem to
a limited number of variables.
● It looks at the connections between variables and
establishes cause-and-effect relationships in
highly controlled circumstances.
● It tests theories or hypotheses.
It assumes that the sample is representative of
the population.
● The subjectivity of its methodology is a secondary
concern.
Characteristic of
Quantitative Research
Characteristic of
Quantitative Research
● It is reliable and objective.
● It uses statistics to generalize a finding.
● It reduces and restructures a complex problem to
a limited number of variables.
● It looks at the connections between variables and
establishes cause-and-effect relationships in
highly controlled circumstances.
● It tests theories or hypotheses.
It assumes that the sample is representative of
the population.
● The subjectivity of its methodology is a secondary
concern.
- It provides statistically sound results.
- Quantitative data provides a macro
view - Generalizability
- Evaluation of the multiple data sets
can be done at once and at a faster
pace and accurately. - It provides systematic and
standardized comparisons. - The manual implementations of ideas
can be automated completely which
can save time.
Strengths
Strengths
- It provides statistically sound results.
- Quantitative data provides a macro
view - Generalizability
- Evaluation of the multiple data sets
can be done at once and at a faster
pace and accurately. - It provides systematic and
standardized comparisons. - The manual implementations of ideas
can be automated completely which
can save time.
- The context of the study is ignored
- Spend more resources
- Results are limited.
- Less elaboration on human perception
and experience - Fixed alternative answers do not
reflect true answers of the
participants.
Weaknesses
Weaknesses
- The context of the study is ignored
- Spend more resources
- Results are limited.
- Less elaboration on human perception
and experience - Fixed alternative answers do not
reflect true answers of the
participants.
Research follows a step-by-step process of
investigation that uses a standardized
approach in answering questions or solving
problems
(Polit & Beck, 2004).
▪ Its main purpose is to answer a question or
to solve an issue
(Palispis, 2004).
is employed to
identify and obtain
information about the
current condition of
the phenomenon as
they exist (Mertens,
1998; Fox & Bayat,
2007).
▪ It focuses more on
the “what” of the
research subject than
the “why”.
▪ In other words, it
“describes” the
subject of the
research, without
conveying “why” it
happens.
Descriptive research
type of research
design that looks at
the relationships
between two or more
variables (Cherry,
2022).
Correlational
Research
when both
results or
variables
increase or
decrease.
positive correlation
one result
or variable
increase while
the other decrease, or vice
versa.
negative correlation
No rs/ no correlation at all
No correlation
equires the
application of the
scientific method that
enables the
researcher to
establish cause-
effect relationships
among the variables
of the study and
maintain control over
all factors that may
influence the result of
an experiment
(Neuman & Neuman,
2006; Bernard &
Bernard, 2012;
Punch, 2013).
True experimental Research
factors that can be manipulated and
measured.
Variables
value” or a numerical
quantity and focus on the question “how
many” or “how much”, these values are
considered quantitative data.
Numeric Variables
TYPES OF NUMERIC VARIABLES
- Continuous
Variables - Discrete
Variables
▪ Can potentially take
on an infinite number
of values.
▪ Ex: time, age,
temperature, height,
and weight
Continuous
Variables
▪ Variables that can
only assume whole
values within the
limits of the given
variable.
▪ Ex: number of
children in the family,
population of
students, and total
number of faculty
members
Discrete
Variables
Variables that describe a “quality” or
“characteristic” of a data.
categorical variables
TYPES OF CATEGORICAL VARIABLES
Ordinal
Nominal
Dichotomous
Polychotomous
Variables can take
a value which can
be logically
arranged, ordered,
or ranked.
▪ Ex: ranked
academic grades,
clothing size,
measures of
attitude “strongly
agree, agree,
neutral and so on”
Ordinal Var.
Variables whose
values cannot be
logically arranged
(No order).
▪ Ex: color, kinds of
religion, and
various languages
Nominal Var
Variables that
represent only 2
categories
▪ Ex: sex, answer
(yes or no) and
veracity (true or
false)
Dichotomous Var
