Learning Materials

1. Senior High Schol
Practical Research II
Quarter 1 – Module 1
Characteristics, Strengths,
Weaknesses, Kinds of Quantitative
Research

2. COPYRIGHT 2020
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Development Team of the Module
Writer:
Jay Mark V. Fulgarinas
Editor: Krystel Grace L. Calderon
Reviewer: Iris Jane M. Canoy
Illustrator: Stephen B. Gorgonio
Layout Artists: Alberto S. Elcullada Jr., Marichu M. Paredes
Management Team: Ma. Teresa M. Real
Dominico P. Larong, Jr.
Gemma C. Pullos
Manuel L. Limjoco, Jr.
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Office Address: Peñaranda St., Surigao City
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3. 1
Characteristics, Strengths,
Weaknesses, Kinds of Quantitative
Research
CONTENT STANDARDS:
The learners demonstrate understanding of the characteristics, strengths,
weaknesses, and kinds of quantitative research, the importance of quantitative
research across fields, and the nature of variables.
PERFORMANCE STANDARD:
The learners should be able to decide on the suitable quantitative research in
the different areas of interest.
LEARNING COMPETENCIES:
• The learners describe the characteristics, strengths, weaknesses, and kinds of
quantitative research. CS_RS12-Ia-c-1
LEARNING OBJECTIVES:
At the end of the module, you should be able to:
1. identify the kinds of quantitative research and its strengths and
weaknesses;
2. elaborate the characteristics of quantitative research; and
3. manifest understanding on the nature of quantitative research by
completing graphic organizers.

4. 2
PRESENTATION OF THE MODULE
This new module contains exercises to hone your skills in analyzing problems
and finding solutions based on factual information and data. Tasks and activities are
designed to improve your Higher Order Thinking Skills (HOTS) which will enable you
to employ analytic listening skills.
In this module, you will come across passages and statements from literature
and other sources and identify these statements as to their substance and meaning.
By being analytical and creative, you will organize your thoughts and ideas using
graphic organizers and other assessment tools aptly designed for independent
learning.
ABSTRACTION
QUANTITATIVE RESEARCH
Quantitative research design uses numbers in stating generalizations some
given problem or inquiry in contrast to qualitative research that hardly uses statistical
treatment in stating generalizations. These numbers are the results of objective scales
of measurements of the units of research called variables.
Characteristics of Quantitative Research
• methods or procedures of data gathering include items like profile.
• standardized instruments guide data collection, thus, ensuring the accuracy,
reliability and validity of information.
• It uses figures, tables, or graphs to summarize data collected to signifies trends,
relationships or differences among variables.
• it puts emphasis on proof, instead of discovery.
Strengths and Weaknesses of Quantitative Research
Strengths
• most reliable and valid way of concluding results, giving due to a replacement
hypothesis or to disproving it.
• Because of a far bigger number of samples of a population, the results or
generalizations are more reliable and valid.
• it filters out external factors to be real and unbiased.

5. 3
Weaknesses
• it is often costly, difficult and time consuming.
• it requires extensive statistical treatment, requiring stringent standards, more
so with confirmation of results.
• tends to denote out only proved or unproven results, leaving little room for
uncertainty, or grey areas.
Kinds of Quantitative Research Designs
Research designs refers to the strategy that you simply just just choose so on
integrate the various components of the study in an exceedingly coherent and logical
way, thereby ensuring you'll effectively address the research problem. it's the blueprint
for the choice, measurement and analysis of knowledge.
Quantitative research designs are generally classified experimental and non-
experimental.
I - Experimental Research Design- it allows the researcher to manage true. In doing
so, it allows the researcher to answer the question “What causes something to occur?”
This research design supports the power to limit alternative explanations and to infer
direct causal relationships within the study; the approach provides the simplest
possible level of evidence of single studies.
3 types:
1. Pre-experimental- an experimental design having the smallest amount
internal validity.
2. Quasi-experimental design- the researcher can collect more data, either by
scheduling more observations or finding more existing measures. it's two
types:
a. Non-equivalent control group design- refers to the possibility failure of
random assignment to equalize the conditions by converting a real
experiment into this type of design, for purposes of study.
b. Interrupted statistic Design- employs multiple measures before and after
the experimental intervention.
3. True experimental design- controls for both time-related and group-related
threats. It employs both treated and control groups to accommodate
timerelated rival explanations. It offers the foremost effective internal validity
of all the designs.

6. 4
Control Group- reflects changes aside from those thanks to the treatment that occur
during the time of the study. Such changes include effects of out of doors events,
maturation by the topics, changes in measures and impact of any pre-tests.
II - Non-experimental Research Design- the researcher observes the phenomena
as they occur naturally and no external variables are introduced. Its main purpose is
to appear at, describe, and document aspects of a situation because it naturally
occurs. Variables don't seem to be deliberately manipulated neither is that the setting
controlled. Collect data without making changes or introducing treatments.
Types:
1. Survey- used when the researcher intends to supply a quantitative or numeric
description of trends, attitudes or opinions of a population by studying a sample
of that population.
2. Correlational- it's three types:
a. Bivariate correlational studies- obtain scores from two variables for
every subject then use them to calculate a correlation.
b. Prediction studies- use statistic to point how one variable (the predictor
variable) predicts another (the criterion variable).
c. Multiple Regression Prediction Studies- overall prediction in an
equation that adds together the predictive power of every identified
variable.
3. Ex-Post Facto Research Design- accustomed investigate the causal
relationships.
4. Comparative design- involves comparing and contrasting two or more
samples of study subjects on one or more variables.
5. Evaluative Research- seeks to assess or judge during a very way providing
information about something apart from might be gleaned in mere observation
or investigation of relationships.
6. Methodological- during this approach, implementation of a range of
methodologies forms a critical a part of achieving the goal of developing a scale-
matched approach, where data from different disciplines is additionally
integrated.

7. 5
RESEARCH
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Department of Education – Schools Division of Surigao del Norte
Peñaranda St., Surigao City
Surigao del Norte, Philippines 8400
Tel. No: (086) 826-8216
Email Address: surigao.delnorte@deped.gov.ph