Introduction to Practical Research 2 (Quantitative Research) for Senior High School. This includes lesson on Scientific Process, Characteristic of Quantitative Research and Types of Variables.
1. SISTEMANG HARANA
Suggested tune: Harana by Parokya ni Edgar
Sa siyensya, may sistema
Sa paglutas ng problema
Dapat tukuyin kung ano itong
Mga problemang nakagulo
Identification ang tawag sa phase na ito.
Formulate hypothesis
Generate ka na ng list
Sunod-sunod subukin itesting, observing
At sa bawat trial nito
Tignan mo ang epekto
Kung iyan nga ang dahilan o cause nito
Conclusion, recommendation ang direksyon
2. SISTEMANG HARANA
Suggested tune: Harana by Parokya ni Edgar
Sa siyensya, may sistema
Sa paglutas ng problema
Dapat tukuyin kung ano itong
Mga problemang nakagulo
Identification ang tawag sa phase na ito.
Formulate hypothesis
Generate ka na ng list
Sunod-sunod subukin itesting, observing
At sa bawat trial nito
Tignan mo ang epekto
Kung iyan nga ang dahilan o cause nito
Conclusion, recommendation ang direksyon
4. The purpose of any scientific inquiry is to add to
a body of knowledge that helps explain, predict,
or control events of interest in the domain.
QUANTITATIVE RESEARCH
5. Quantitative approach
designs and examines
social phenomena through
quantifiable evidence, and
often relies on statistical
analysis of many causes to
create valid and reliable
general claims.
QUANTITATIVE RESEARCH
6. The overall goal of quantitative research is
to convey numerically what is being
seen in the research and to arrive at
specific and observable conditions.
QUANTITATIVE RESEARCH
19. VARIABLES ACC.TO VALUES
Qualitative Variable or
Categorical Variable
These are variables whose
data are non-numeric and
whose observation vary in
kind but not in degree.
1.1.
20. VARIABLES ACC.TO VALUES
Qualitative Variable or
Categorical Variable
Examples:
sex- male or female
religion- Roman Catholic, Isla, etc
civil status- single, married
1.1.
21. VARIABLES ACC.TO VALUES
QuantitativeVariable or
ContinuousVariable
These are variables whose data
are counts or numerical
measurements and whose
observations vary in magnitude
1.2.
26. VARIABLES ACC.TO VALUES
Continuous Variables
quantitative variables whose
observations can assume any one
of the countless number of values
in a line interval
1.2.2.
31. VARIABLES ACC. SCALE MSRMT.
Ordinal Variable
Variables where there is a
meaningful order or categories
but there is no measurable
distance between categories
2.2.
32. VARIABLES ACC. SCALE MSRMT.
Ordinal Variable
• An ordinal variable is a nominal
variable, but its different states are
ordered in a meaningful sequence.
• Ordinal data has order but the intervals
between scale points may be uneven.
2.2.
33. VARIABLES ACC. SCALE MSRMT.
Ordinal Variable
• Because of lack of equal distances,
arithmetic operations are impossible,
but logical operations can be performed
on the ordinal data.
• A typical example of an ordinal variable
is the socio-economic status of families.
2.2.
34. VARIABLES ACC. SCALE MSRMT.
Interval Variable
Variable whose data values are
ranged in a real interval and can
be as large as from negative
infinity to positive infinity.
2.3.
36. VARIABLES ACC. SCALE MSRMT.
Ratio Variable
• The highest level of measurement that
has all the characteristics of the interval
plus a true zero point.
• Both the differences and the ration of
two values are meaningful and there is
always an absolute zero that is
meaningful.
2.4.