PR Flashcards

1
Q

is
a structured way of collecting and
analyzing data obtained from different
sources.
involves the
use of computational, statistical,
and mathematical tools to derive

results.

A

Quantitative research

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
1
Q

characteristics of
quantitative research

A

structured
larger sample sizes
replicated or
repeated,
defined research question
carefully designed
numbers and statistics,

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

is considered as
a central concept in
research. It is a measurable
characteristic that changes
in value.

A

VARIABLES

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

is anything
that may assume
varied numerical or

categorical values.

A

VARIABLES

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

▪are those that cause an effect to the
other variable

A

INDEPENDENT
VARIABLES

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

▪those that change because of the
changes brought by the other
(independent) variable. These are the
presumed effect.

A

DEPENDENT
VARIABLES

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Definition: Categories that are mutually exclusive and have no inherent order.
Examples: Gender (male, female), types of fruit (apple, banana, cherry), colors (red, blue, green).

A

Nominal

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Definition: Categories that have a meaningful order or ranking but the distances between the ranks are not necessarily equal.
Examples: Education levels (high school, bachelor’s, master’s, doctorate), customer satisfaction ratings (satisfied, neutral, dissatisfied).

A

Ordinal:

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Definition: Numerical data that can only take specific, distinct values. Often counts or quantities.
Examples: Number of students in a class, number of cars in a parking lot, shoe sizes.
Characteristics: Data is countable and usually represents whole numbers

A

Discrete

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Definition: Numerical data with equal intervals between values but no true zero point.
Examples: Temperature in Celsius or Fahrenheit (where zero does not imply ‘no temperature’), IQ scores.

A

Interval

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Definition: Numerical data with equal intervals and a true zero point, allowing for meaningful comparisons of ratios.
Examples: Height, weight, age, income.

A

Ratio

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

that the researcher
manipulates the condition or value of the independent variable.

A

Active Independent Variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

variable where the
researcher has no control over how the variable appears for each subject.

A

Assigned Independent Variable.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

numerical form.

A

Quantitative research

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

represents the whole target market or population.

A

Large Sample Size.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

In-depth information
about the preferences of the respondents can be drawn using these structured
research methods.

A

Structured Research Methods.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

is
quite reliable, as respondents of the research face close-ended questions.

A

Highly Reliable Outcome.

17
Q

are more specific and
right to the question than the open-ended questions.

A

Close-ended Questions.

18
Q

the result of research can be represented in
percentage, range of numbers.

A

Numerical Outcome.

19
Q

is the scientific
study of humans,
their behavior, and
societies in the

past.

A

ANTHROPOLOGY

20
Q

is the act of conveying meanings from one entity or group to
another through the use of mutually understood signs, symbols,
and semiotic rules.

A

COMMUNICATION

21
Q

-is the scientific study
of the human mind and

behavior.

A

PSYCHOLOGY

22
Q

is the study of society and how people behave and
influence the world around them.

A

SOCIAL SCIENCE

23
Q

Improve the overall
marketing strategy, help the
company make informed
decisions on how to move

forward with a particular
product or service, and even
solicit consumers’ opinions
for productivity.

A

BUSINESS

24
Q

STRENGTHS Quantitative

Research

A

It is GENERALIZABLE.
It is OBJECTIVE.
It can be REPLICATED.
It can PROCESS FASTER DATA ANALYSIS.
It can TEST HYPOTHESES.
It is UNBIASED.

25
Q

This can approximately represent a wider population because of its
greater number of respondents.

A

It is GENERALIZABLE.

26
Q

The use of systematic and mathematical procedures in summarizing and
analyzing the data is scientifically accurate and rational.

A

It is OBJECTIVE.

27
Q

Repetition of this study in other location and different set of respondents is

allowed and it can be compared with its related studies since it has a well-
structured standard.

A

It can be REPLICATED.

28
Q

The use of statistical software can summarize information and can
compare across categories and over time in a short period of time.

A

It can PROCESS FASTER DATA ANALYSIS.

29
Q

The statistical analysis is capable of testing significant relationship,
difference and effect.

A

It can TEST HYPOTHESES.

30
Q

Gathering of data preferred random sampling which keeps distances from
the respondents.

A

It is UNBIASED.

31
Q

WEAKNESSES QUANTITATIVE

A

It may miss some circumstantial or contextual facts (SUPERFICIAL).

A fixed structure may lead to its inflexibility process of discovery.

It can lead to structural bias and false representation.

It is COSTLY.

32
Q

embody a group of techniques used to conduct quantitative research where there is no
manipulation done to any variable in the study.

A

Non-experimental Research Designs.

33
Q

is to describe, and interpret,
the current status of individuals, settings, conditions, or events (Mertler, 2014).

A

Descriptive.

34
Q

It involves comparing and contrasting two or more groups of
the study subjects based on a particular dependent variable.

A

Comparative.

35
Q

is to discover, and then
possibly measure, relationships between two or more variables.

A

Correlational.

36
Q

It is a group of techniques where the
researcher establishes different treatments or conditions and then studies their effects
on the participants.

A

Experimental Research Designs.

37
Q

designs share one important
characteristic in common: They all involve the random assignment of participants to
treatment conditions (Gay et al., 2009).

A

True experimental.

38
Q

It comes close to true experiments; however, there is
still no random assignment of the participants to groups, which weakens the ability to
control for extraneous influences.

A

Quasi-experimental.

39
Q
A