Quantitative research is the systematic investigation that plays attention to numerical or statistical values in a bid to find answers to research questions.

1. QUANTITATIVE
RESEARCH
SUBMITTED BY,
MEGHA T P
M.SC FOOD & NUTRITION

2. DEFINITION
 Quantitative research is the systematic investigation
that plays attention to numerical or statistical values in
a bid to find answers to research questions.
 It is numerical in nature.
 Typically involves counting or measuring.
 Quantitative research collects and uses numerical data
to explore, describe, explain or predict trends or
phenomena.

4. CHARACTERESTICS
 Used to determine the extend of a problem.
 The results are based on larger sample sizes, that are
representative of population.
 Data is usually gathered using structured research
instruments.
 The research study can be usually be replicated or
repeated.
 Researcher uses tools such as questionnaires or
computer software to collect numerical data.

5.  Close ended questions
 All aspects of study are carefully designed before
data is collected-prior studies.
 Data are in the form of numbers & statistics , often
arranged in tables , charts, figures or other non-
textural forms.
 Generalization of results.

7. TYPES
 Descriptive Research
 Experimental Research
 Quasi-Experimental / Causal comparative
 Correlational Research

9. DESCRIPTIVE RESEARCH
 Exploration and description of phenomenon in real- life
situations.
 Purpose of descriptive research is to observe,
describe, document aspect of a situation as it naturally
occurs.
 Tools used to obtain data include questionnaire,
interviews (closed questions), observation.
 Helps to identify relationships.

10. EXPERIMENTAL RESEARCH
 Looks at cause-and-effect relationships
 In experimental research, analysis is done around
proving or disproving the statement.
 Highly controlled, objective ,systematic studies.
 Involves the measurement of independent and
dependent variable.

11. QUASI-EXPERIMENTAL
 This method mainly depends on factor of
comparison
 Examines cause-and-effect relationships
 Less control by researcher than true experimental
designs
 Samples are not randomly selected.
 All variables in the study cannot be controlled by
the researcher.

12. CORRELATIONAL RESEARCH
 Attempts to determine the extent of a relationship
between two or more variables using statistical data
 In this type of design, relationships between and
among a number of facts are sought and interpreted.
 Cause and effect is not the basis of this type of
observational research.
 Researchers use this research design to correlate two
or more variables using mathematical analysis
method.

13.  The data, relationships, and distributions of variables
are studied only.
 Sometimes correlational research is considered a
type of descriptive research , and not as its own type
of research, as no variables are manipulated in the
study.

14. ADVANTAGES
 Findings can be generalised if selection process is
well designed and sample is representative of study
population.
 Relatively faster and easy to analyse.
 Eliminate bias.
 Data can be very accurate and reliable.
 Cost effective.

15. LIMITATIONS
 Related secondary data is sometimes not available
or accessing available data is difficult/ impossible .
 Difficult to understand context of a phenomenon.
 Data may not be robust enough to explain complex
issues.
 Its somewhat artificial.
 Get a less detailed picture.

16. REFERENCE
 https://www.liveabout.com/quantitative-research-
advantages-and-disadvantages-2296728
 https://blog.gwi.com/trends/qualitative-vs-
quantitative/24-03-2023
 https://www.questionpro.com/blog/quantitative-
research/01-04-2023