This document discusses quantitative research methods. It defines quantitative research as using numerical data and statistical analysis to answer questions about who, what, where, how much, how many, and how. The scientific method is described as a process involving asking questions, researching, forming hypotheses, experimenting, analyzing data, and drawing conclusions. Characteristics of quantitative research include being objective, using structured instruments, analyzing numerical data statistically, having large sample sizes, and being replicable. Strengths and weaknesses are provided. Finally, the importance of quantitative research is discussed across various fields such as business, political science, psychology, and more.

1. Practical Research 2
LEANNA MAE T. TAPANGCO
Subject Teacher

2. Practical Research 2

3. Research
It is a careful, detailed and scientific problem,
concern, or issue to establish facts. This is best
accomplished by turning the issue into a
question, with the intent of the research to
answer the question.

4. When is a research practical?
Practical research means actual doing or using
of something rather than theories and ideas. It
involves inquiry methods and immersion activities
in order to achieve the correct information.

5. The Scientific Method
1.Ask a question- State the problem
2.Research– Collect sources
3.Hypothesis--- an educated guess (If I will… It will…)
4.Experiment- design and perform to test hypothesis and variables.
5.Data/ Analysis- record observations, analyze the data, prepare a
graph or table
6.Conclusion- accept or reject hypothesis, communicate results.

6. Types of Research
1.Qualitative- used to gain an understanding of
underlying reasons, opinions, and motivations. Used in
social science and natural sciences.
2.Quantitative- deals in numbers, logic, and an objective
stance. It focuses on numeric and unchanging data and
detailed, convergent reasoning. Used in psychology,
marketing and political science.

7. Quantitative Research
It is a study that involves the use and
analyses of numerical data using statistical
techniques. They pose questions of WHO,
WHAT, WHERE, HOW MUCH, HOW MANY and
HOW?

8. Quantitative Research
What is it for?
It is a method designed to produce statistically
reliable data that tells us how many people do or
think something. Quantitative data is in numerical
form such as averages, ratios and ranges.

9. Characteristics of Quantitative Research
Objective
Impartial, unbiased and neutral

10. Characteristics of Quantitative
Research
Clearly define questions
(What, Which, how much)

11. Characteristics of Quantitative Research
Structured research instruments
(surveys, questionnaires, software)

13. Characteristics of Quantitative Research
Numerical data and statistical treatment
(unbiased results)

14. Characteristics of Quantitative Research
Large sample size
(represents populations)

15. Characteristics of Quantitative
Research
Replication
(High reliability– stable and consistent)

16. Characteristics of Quantitative
Research
Future outcomes
(new concepts and further studies)

17. Characteristics of Quantitative Research
Data are in the form of numbers and statistics,
often arranged in tables, charts, figures, or other
non- textual forms.

19. Strengths
Fast and speed data collection (Sampling methods)
Findings can be generalized (if sample is from a
population)
Easy to analyze data (use of statistical tool)

20. Strengths
Consistent and reliable data (Use of research
manipulations--- experiment, surveys)
Can be anonymous (for sensitive issues)
It can provide a clear, quantitative measure to be
used for grants and proposals.

21. Weaknesses
More structured research instruments
Results need to be calculated using Excel, Access or
data analysis software
Time consuming

22. Weaknesses
More structured research instruments
Results need to be calculated using Excel, Access or
data analysis software
Time consuming

23. Importance of Quantitative Research across fields
Business
estimates consumer attitudes and behavior, market
sizing, and marketing tactics.

24. Importance of Quantitative Research across fields
Political Science
measures political behavior and attitudes of citizens
and politicians

25. Importance of Quantitative Research across fields
Psychology
measures human attributes/ behavior and analyzes
psychological processes.

26. Importance of Quantitative Research across fields
Medicine
measures clinical and methodologic standards in
medical prescription and composition and laboratory
experimentations

27. Importance of Quantitative Research across fields
Economics
evaluates economic behavior and designs
economic policies and techniques

28. Importance of Quantitative Research across fields
Demographics
discover patterns, associations,
correlations, and other features of a
population

29. Importance of Quantitative Research across fields
Education
discover solutions to issues in education,
research, assessment, and program evaluation
and curriculum implementation.

30. Importance of Quantitative Research across fields
Arts
to investigate methods or approach that
enhance one’s creativity.

31. Importance of Quantitative Research across fields
Agriculture and Fisheries
to examine how agriculture in a particular
community is influenced by global trends.

32. Importance of Quantitative Research across fields
Sports
to understand the relationship between one’s
health and athletic performance

33. Importance of Quantitative Research across fields
Information and Communications
Technology
To examine the trends and tendencies in the use
of information technology.