EDU604 Assignment 1 solution| Spring
2023 | EDU 604 Assignment 1 solution

EDU604 Assignment 1 solution| Spring 2023
Q: Differentiate
Qualitative and quantitative Approach on the basis of theory, purpose and
structure, also evaluate how to Choose qualitative and quantitative as more
accurate research. Discuss your answer with logical justification.
Answer:
Difference
between Qualitative and Quantitative Approach theory:
Quantitative approach:
·
It relies on
numbers and data collection. It is always interested in looking at extent of things, it takes large data bases. Data
will be collected in numbers because they are
interested in quantity.
·
Statistical methods are used for analysis. They can be very rigorous and
they can be even broadly descriptive like u can get answer
in percentage.
·
It describes relationships between
variables. Gender is a variable
and scholarship is the variable, school attendance are variable so you tried to established relationships because you would like to predict consequences and sees the advantage.
Qualitative approach:
·
Qualitative approach
interested in context.
·
Quantitative research
says what is happening while qualitative research
is looking at why it’s happening.
·
It is looking at the basic meaning of the thing within
a given context.
·
Its aims are describing things and describe
holistically.
·
It’s not just look at numbers.
·
It tried to interpret
things from how it is experienced within a given context, like; what the teachers think
of it.
Differences on the basis of Purposes:
Qualitative Approach & Purpose
·
This is not there to measure quantity; it is there to measure quality of things.
·
It aims at In-depth understanding of context that what is going on and find out what is the nature of processes that going on.
·
It looks for Reasons behind decision
making and processes.
·
A very important
thing that differentiates it from the quantitative approach is the difference between
participants and subject. In qualitative research we don’t say subject we say
participants. Participants are
people who understand the context, you go over there and with the help of participants you try to understand what does the specific things
like schooling means to people who are actually
experiencing it.
·
People’s perspective and the insight view of the participant are very important.
·
Values are very important.
·
Actions, experiences are also very important.
·
Objectivity is
challenged. In the choice of subject or variable’ your researcher bias does go
in there and when participants answer you so whoever the researcher is, it’s an instrument of data collection.
·
Researcher and participant’s gender and age difference
and demographics, social background matter.
·
The qualitative research aims at emic-view (the insider’s view).
·
It is an empathetic
understanding.
It is known as co-construction of knowledge. Both Researcher and participate co-construct knowledge and try to find out what is going on in a specific context.
Quantitative Approach
Purposes:
The purpose of quantitative approach is:
Identifications of laws:
The
purpose of quantitative approach is the identifications of laws. The primary
reason why people hold or use quantitative
research is they want to identify the laws that underline different
phenomenon.
Explain and predict:
They want to see different abstract
because they want to predict what is sort if happen.
Casual links:
They
want to sort of the casual links. They tried to delineate laws and want to make
links through cause-and-effect relationship.
·
Quantified data:
Quantitative approach is interested in quantified data.
You are not writing anything so it’s all about
quantity. Something that you can’t observe with your senses is not seen as a
part of the research.
Quantitative approach
relies on:
·
Questionnaires
·
Database
·
Scores and surveys
·
It’s Numerical
Difference on the basis of structure:
Qualitative Approach
& Structured Approach:
In a structured qualitative approach, the research design and data
collection procedures are pre-determined and follow a specific framework or set
of questions. The structure provides a systematic and organized way of
gathering data. Key characteristics of a structured qualitative approach
include:
- Fixed Research Design:
The research design,
including the research questions, methods, and instruments, is established
before data collection begins.
- Standardized Data Collection:
The data collection
process involves using standardized instruments, such as questionnaires or
interview guides, to collect data from participants.
- Predetermined Categories:
The data analysis is
often based on predetermined categories or themes derived from the research
questions or existing theories.
- Replication and Generalizability:
Structured
qualitative approaches often aim for replication and generalizability, seeking
to apply findings to a broader population or context.
Quantitative Research
and Structured Approach:
Let us look what qualifies
quantitative research from other type of research:
·
Tightly structured:
A basic principle of quantitative research is that it is tightly structured.
·
Design
It is highly structured in terms of design.
·
Pattern and tools
You follow the pattern and use tools.
·
Questionnaires
You code the questionnaires.
·
Observations
It is strictly
structured observations.
·
No biasness
Your personal
comments do not matter.
·
Particular concepts
Maintain the focus on particular
concepts.
·
Reduces complexity
It reduces complexity.
·
Maintain objectivity
It Maintain objectivity, you measure things and your perceptions are not included.
·
Leads to rigour,
reliability and persuasiveness
Leads to rigour and
strengthen your research and it also leads to reliability and persuasiveness because you are showing people numbers.
You are clearly defining relationship according to the theory.
The choice between
qualitative and quantitative research depends on several factors, including the
research objectives, the nature of the research questions, and the context of
the study. Both approaches have their strengths and weaknesses, and the
decision should be made based on the specific research requirements. Logical
justifications for choosing qualitative or quantitative research are:
1. Qualitative Research:
- Exploring Complex Phenomena:
Qualitative research
is well-suited for exploring complex phenomena, capturing the richness and
depth of participants' experiences, perceptions, and meanings. It allows
researchers to uncover contextual factors, social dynamics, and subjective
perspectives that may not be easily captured using quantitative methods.
- Generating New Insights:
Qualitative research
is valuable when there is limited existing knowledge or when the research aims
to generate new theories, hypotheses, or conceptual frameworks. It can provide
a foundation for future quantitative studies by informing the development of
research questions and identifying relevant variables.
- Contextual Understanding:
Qualitative research
offers a deep understanding of the social, cultural, and contextual factors
that influence individuals' behaviors, attitudes, and beliefs. It can provide
detailed and nuanced information that quantitative methods may not capture.
- Flexibility and Adaptability:
Qualitative research
allows for flexibility and adaptation during data collection and analysis.
Researchers can adjust their research design and explore new avenues as they
discover new insights, emerging themes, or unexpected findings.
2. Quantitative Research:
- Generalizability and Replicability:
Quantitative
research aims to generalize findings to a larger population. It provides
statistical measures of relationships, trends, and patterns, allowing for
replication and generalization of findings to other settings or populations.
- Objective Measurement and Control:
Quantitative
research relies on standardized measurement tools and procedures, which can
enhance the objectivity and reliability of data collection. It allows for
precise measurement of variables, statistical analysis, and control of
extraneous variables.
- Testing Hypotheses and Relationships:
Quantitative
research is particularly useful when the research aims to test specific
hypotheses or examine relationships between variables. It provides numerical
data that can be analyzed statistically, enabling researchers to draw
conclusions and make predictions.
- Large-Scale Studies:
Quantitative
research is efficient for studying large samples or conducting surveys across
multiple sites or regions. It can provide a broader perspective and statistical
power, allowing for robust conclusions.
Qualitative and quantitative research
can be complementary, and a mixed methods approach can be beneficial in some
cases. Researchers can combine both approaches to gain a comprehensive
understanding of the research topic, capturing both the depth and breadth of
information. Ultimately, the choice between qualitative and quantitative
research should align with the research objectives and the specific research
questions being addressed.

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