EXPLORATORY SEQUENTIAL MIXED METHOD RESEARCH DESIGN
Summary
TLDRThe video script discusses the exploratory sequential research design in mixed methods research. It explains that researchers begin with qualitative research, such as in-depth interviews, followed by quantitative methods like surveys. This sequence allows for the generalization of initial findings. The script also highlights the importance of using sample size formulas for quantitative phases and mentions instrument development and exploratory factor analysis as common applications of this research design.
Takeaways
- 🔍 Exploratory Sequential Research Design is a mixed method where qualitative research precedes quantitative research.
- 📝 Qualitative data collection and analysis are conducted first, followed by quantitative data collection and analysis.
- 🗣️ An example of qualitative research could be in-depth interviews or key informant interviews on a specific issue.
- 📊 To generalize findings, a survey might be conducted after the qualitative phase to reach a broader group of respondents.
- 🧑🤝🧑 Participants in the qualitative phase are typically different from those in the quantitative phase.
- 📐 Qualitative sample size may rely on purposive selection, while quantitative sample size requires a calculator or formula.
- 🛠️ Explanatory Sequential Design is often used for instrument development, allowing researchers to create surveys based on qualitative insights.
- 🔑 A common goal is to extract dimensions or factors from qualitative data to understand underlying structures or generalize findings.
- 🔎 Exploratory Factor Analysis might be employed after the qualitative phase to identify key factors from the research issue.
- 📚 The transcript emphasizes the importance of using mixed methods to enhance the depth and breadth of research findings.
- 📈 The design helps in developing a comprehensive understanding by combining the strengths of both qualitative and quantitative research approaches.
Q & A
What is the mixed method research design mentioned in the transcript?
-The mixed method research design mentioned is the exploratory sequential research design, where research begins with a qualitative approach followed by a quantitative methodology.
What is the order of data collection and analysis in an exploratory sequential research design?
-In an exploratory sequential research design, qualitative data collection and analysis precede the quantitative data collection and analysis.
Can the participants in the qualitative phase be the same as those in the quantitative phase in this research design?
-No, the participants in the qualitative phase are different from those in the quantitative phase in an exploratory sequential research design.
What is an example of a qualitative research approach mentioned in the transcript?
-An example of a qualitative research approach mentioned is conducting in-depth interviews or key informant interviews on a particular research issue.
Why might a researcher choose to follow a qualitative approach with a quantitative methodology?
-A researcher might choose this approach to generalize the findings from the qualitative research through a quantitative survey to a larger group of respondents.
What is the purpose of using a sample size calculator or formula in the quantitative phase?
-The purpose is to determine the final number of samples to be used in the study, ensuring the quantitative research is statistically valid.
What is the common goal of conducting an exploratory sequential research design according to the transcript?
-The common goal is to develop an instrument, generalize qualitative findings, extract dimensions or factors, and determine underlying factors from specific research issues.
What is an example of a situation where an exploratory sequential research design might be used?
-An example is when a researcher conducts a qualitative phase to understand significant statements and then develops a survey questionnaire to generalize these findings among a larger group.
How can qualitative data be used to inform the development of a quantitative instrument?
-Qualitative data can inform the development of a quantitative instrument by extracting significant statements or themes that can be translated into survey questions or items.
What is exploratory factor analysis and how does it relate to the sequential research design?
-Exploratory factor analysis is a statistical technique used to identify underlying factors or dimensions within a set of variables. In the context of sequential research design, it can be employed after the qualitative phase to analyze quantitative data and extract relevant factors from the research issue.
Why might a researcher rely on purposive sampling for the qualitative phase?
-A researcher might rely on purposive sampling to select participants who can provide rich, in-depth information on the research issue, which is crucial for the initial qualitative exploration.
Outlines
🔍 Exploratory Sequential Research Design
This paragraph introduces the concept of exploratory sequential research design in mixed methods research. It explains that the process begins with qualitative research, such as in-depth interviews or key informant interviews, followed by a quantitative methodology. The qualitative phase aims to explore a specific research issue, and the findings are then generalized through a quantitative approach, such as a survey. The participants in the qualitative phase are distinct from those in the quantitative phase. The paragraph also touches on the use of sample size formulas or calculators to determine the number of participants for the qualitative and quantitative phases. Common goals for using this design include instrument development, generalizing qualitative findings, and employing exploratory factor analysis to extract dimensions or underlying factors from the research issue.
Mindmap
Keywords
💡Mixed Methods Research Design
💡Exploratory Sequential Research
💡Qualitative Research
💡Quantitative Research
💡In-Depth Interview
💡Key Informant Interview
💡Generalization
💡Sample Size
💡Sample Size Calculator
💡Instrument Development
💡Exploratory Factor Analysis
Highlights
Exploratory sequential research design is a mixed method approach where qualitative research precedes quantitative research.
Qualitative data collection and analysis is followed by quantitative data collection and analysis.
Researchers may start with in-depth interviews or key informant interviews before generalizing findings through a survey.
Participants in the qualitative phase are different from those in the quantitative phase.
Qualitative sample size may rely on purposive selection, while quantitative sample size requires a calculator or formula.
Explanatory sequential research design is commonly used for instrument development.
Qualitative findings can be generalized through quantitative methods in this design.
Exploratory factor analysis is employed to extract dimensions or factors from qualitative data.
The design helps in determining underlying factors and generalizing qualitative insights.
Instrument development is facilitated by extracting significant statements from the qualitative phase.
A survey questionnaire is developed based on qualitative data to be answered by a group of respondents.
The research design allows for the extraction of dimensions relevant to a specific research issue.
Generalizing qualitative findings is a key goal of the explanatory sequential research design.
The design bridges the gap between qualitative insights and quantitative analysis.
Researchers can develop a comprehensive understanding of a research issue using this mixed method approach.
The design is useful for studies that aim to validate and expand upon initial qualitative findings.
Explanatory sequential research design provides a structured way to move from specific to generalizable findings.
This mixed method approach enhances the validity and applicability of research findings.
The design is particularly useful in social sciences and health research where both depth and breadth of data are required.
Transcripts
the other mixed method research design
include exploratory sequential research
design so in these type of mixed methods
research a researcher or the researchers
started with a qualitative research
approach and this is followed by a
quantitative methodology
so as you can see by definition the
qualitative data collection and Analysis
is followed by quantitative data
collection and Analysis
so for example you have here a you have
conducted
an in-depth interview or a key informant
interview on a particular research issue
and then you want to generalize the
findings so you you may conduct or you
can conduct a
survey to a group of respondents
so the participants here in your
qualitative phase are different
in your quantitative phase
so still in the computation of your
sample size for your qualitative phase
you may rely on offers for the selection
or for deciding the number of
participants to be included in the
interview and then for the respondents
of course you need to use a sample size
calculator or using a sample size
formula to determine the final number of
samples to be used in the study for your
quantitative pace so common examples for
an explanatory sequential research
design includes an instrument
development or probably they want to
generalize qualitative findings the most
common example for qualitative or the
use of quality quantity in the conduct
of the research probably others are
using or probably others are employing
exploratory factor analysis that is when
the researcher or a group of researchers
conducted first a qualitative
a qualitative phase and then this
qualitative days or the significant
statements will be extracted from the
qualitative phase and there they can
develop a survey questionnaire an
instrument and then it will be answered
by a group of respondents and then they
want to extract Dimensions or factors
from that specific research issue so
helping developing or they want to
extract Dimensions they want to
determine the underlying factors or even
generalizing qualitative findings these
are common goals of conducting an
explanatory sequential research design
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