pr q1 gr12 Flashcards
(123 cards)
2 approach research
quali quanti
Complete detailed
description
quali
classify feature, count them a nd construct statistical models.
quanti
researcher is the primal data gathering instrument
quali
all aspect of the study are carefully designed before data is collected
quanti
data is rich, time-consuming and less able to be genralized
quali
data nis more efficient, able to test hypothesis but may miss contextual details
quati
research can be
basic or applied
Information gathering.
Answering what, why, and how research questions
basic
A non-systematic process of providing solutions to the specific problems or
issues.
applied
WHY MUST WE CONDUCT
RESEARCH? aims:
TO CREATE NEW
KNOWLEDGE
VALIDATE AND PROVE
EXISTING KNOWLEDGE
TO UTILIZE NEW
KNOWLEDGE
To prove the researchers
4 research design
correlation
casual comparative
experimental
descripyive
Attempts to know the degree of the relationship
between two or more variables using statistical
information
correlation
Ex. The more time you spend running on a thread-mill,
the more calories you will burn.
——–
Ex. A student who has many absences, has a decrease
in grades.
——–
Ex. The height of the students and exam scores.
positive negative zero
Tries to explain the cause-and-effect relationship
among variables.
Ex: The effect of taking multivitamins on a students’
school absenteeism.
casual-comparative
The most effective method for testing cause and
effect relationship.
It is also known as true experimentation as it uses the scientific method to gain the viable and
acceptable results.
Ex: Effect of salt on the plant growth.
experimentla
A means to describe a behavior of a variable
without manipulating it.
Possibly the simplest research design as in only tries to describe what exists and may
help uncover new findings and learnings
Ex. A company studies the behavior of its customers to
identify its target market before it launches a new
product
descriptive
2 variables
independent iv dependent dv
Input variable, the
controlled or manipulated
by the Researcher.
independent
Outcome variable,
affected by the
independent variable.
dependent
2 statistical data
categorical numerical
categorical 2
nominal ordinal
- Categories with no
order ranking.
classifies individuals, objects, or responses based on the common
characteristic though it is limited to descriptive categories
cannot be ranked
because these are limited to descriptive categories, though we may count the frequencies
nominal
- Categories that
maintain an order.
it has a characteristics of nominal variables but ranked in a certain order
ordinal