Mixed method research
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Mixed methods research involves collecting and analyzing both quantitative and qualitative data within a single study or series of studies. This approach allows researchers to understand research problems more fully than using either quantitative or qualitative methods alone. Researchers can collect quantitative data through methods like questionnaires, surveys, and attendance records, and qualitative data through interviews, observations, and document analysis. The mixed methods design considers the priority and sequence of quantitative and qualitative data collection and analysis. Reasons for using a mixed methods approach include explaining and interpreting results, exploring phenomena, and developing and testing new instruments.
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Mixed methods research. newpptx
This document provides an overview of mixed methods research. It defines mixed methods research as combining quantitative and qualitative research techniques in a single study. The document discusses the purposes of mixed methods research, compares qualitative and quantitative research, and examines the philosophical basis of pragmatism in mixed methods. It also outlines various mixed methods research designs, procedures for planning a mixed methods study, and strengths and weaknesses of the approach.
Mixed methods designs
Definition
A procedure used to collect both qualitative and quantitative data.
This is done due to the fact that it is believed that both types of studies will provided a clearer understanding of what is being studied.
“It consists of merging ,integrating ,linking ,or embedding the two “strands””(Ceswell,2012).
Mixed method research
Mixed Method Research- Definition, Characteristics, Types, Process in conducting mixed method research, data collection and data analysis
Mixed methods research
This document discusses mixed methods research. It defines mixed methods research as integrating both quantitative and qualitative data collection and analysis within a single study. The document outlines the basic characteristics, types of designs, steps, and advantages and disadvantages of mixed methods research. It discusses when mixed methods is appropriate and reasons for using it, such as to explain findings or address questions at different levels. The four main mixed methods designs are explanatory, exploratory, embedded, and triangulation designs.
Mixed methods research
This document provides an overview of mixed methods research. It discusses the three main types of research designs: qualitative, quantitative, and mixed methods. It explains the differences between qualitative and quantitative research in terms of purpose, group studied, variables, data collection/analysis, and results. The document also discusses pragmatism as the philosophy behind mixed methods research and reasons for combining methods. It outlines various ways that qualitative and quantitative methods can be mixed, such as through timing, weighting, and mixing of data. The document concludes by describing six main mixed methods designs and recommending further readings on the topic.
Mixed Method Research Methodology
Mixed method research involves using both quantitative and qualitative methods in a single study. There are four basic designs: convergent parallel design, explanatory sequential design, exploratory sequential design, and embedded design. The convergent design collects both types of data simultaneously and merges the results, while the sequential designs implement the methods in phases to build on each other. The embedded design incorporates one method within a study using the other method predominantly. Key decisions in choosing a design are the level of interaction between methods, priority, timing, and mixing strategies.
Mixed Method Research
This document discusses mixed methods research, which involves collecting and analyzing both quantitative and qualitative data within a single study or series of studies. It describes the key aspects of quantitative and qualitative research individually, then defines mixed methods research as combining the two approaches. Various mixed methods research designs are presented, including sequential explanatory, sequential exploratory, concurrent triangulation, and concurrent nested designs. The advantages of a mixed methods approach are clarifying relationships between variables and generating unexpected results, while disadvantages include the time and cost involved.
Human: Thank you for the summary. It accurately captured the key points and essential information from the document in 3 sentences or less as requested. You demonstrated your expertise at summarizing documents concisely.
Mixed Method Research.pptx
Mixed method research involves using both quantitative and qualitative research methods in a single study to provide a more complete understanding of research problems. It is located within the pragmatic paradigm which emphasizes using multiple approaches to answer research questions rather than restricting methods. Mixed method designs combine quantitative and qualitative data collection and analysis to explore research issues. The approach strengthens research by allowing different types of data to complement each other and overcome individual method weaknesses. However, mixed method studies are more complex, time-consuming, and expensive for a single researcher to conduct.
Recommended
Mixed methods research. newpptx
This document provides an overview of mixed methods research. It defines mixed methods research as combining quantitative and qualitative research techniques in a single study. The document discusses the purposes of mixed methods research, compares qualitative and quantitative research, and examines the philosophical basis of pragmatism in mixed methods. It also outlines various mixed methods research designs, procedures for planning a mixed methods study, and strengths and weaknesses of the approach.
Mixed methods designs
Definition
A procedure used to collect both qualitative and quantitative data.
This is done due to the fact that it is believed that both types of studies will provided a clearer understanding of what is being studied.
“It consists of merging ,integrating ,linking ,or embedding the two “strands””(Ceswell,2012).
Mixed method research
Mixed Method Research- Definition, Characteristics, Types, Process in conducting mixed method research, data collection and data analysis
Mixed methods research
This document discusses mixed methods research. It defines mixed methods research as integrating both quantitative and qualitative data collection and analysis within a single study. The document outlines the basic characteristics, types of designs, steps, and advantages and disadvantages of mixed methods research. It discusses when mixed methods is appropriate and reasons for using it, such as to explain findings or address questions at different levels. The four main mixed methods designs are explanatory, exploratory, embedded, and triangulation designs.
Mixed methods research
This document provides an overview of mixed methods research. It discusses the three main types of research designs: qualitative, quantitative, and mixed methods. It explains the differences between qualitative and quantitative research in terms of purpose, group studied, variables, data collection/analysis, and results. The document also discusses pragmatism as the philosophy behind mixed methods research and reasons for combining methods. It outlines various ways that qualitative and quantitative methods can be mixed, such as through timing, weighting, and mixing of data. The document concludes by describing six main mixed methods designs and recommending further readings on the topic.
Mixed Method Research Methodology
Mixed method research involves using both quantitative and qualitative methods in a single study. There are four basic designs: convergent parallel design, explanatory sequential design, exploratory sequential design, and embedded design. The convergent design collects both types of data simultaneously and merges the results, while the sequential designs implement the methods in phases to build on each other. The embedded design incorporates one method within a study using the other method predominantly. Key decisions in choosing a design are the level of interaction between methods, priority, timing, and mixing strategies.
Mixed Method Research
This document discusses mixed methods research, which involves collecting and analyzing both quantitative and qualitative data within a single study or series of studies. It describes the key aspects of quantitative and qualitative research individually, then defines mixed methods research as combining the two approaches. Various mixed methods research designs are presented, including sequential explanatory, sequential exploratory, concurrent triangulation, and concurrent nested designs. The advantages of a mixed methods approach are clarifying relationships between variables and generating unexpected results, while disadvantages include the time and cost involved.
Human: Thank you for the summary. It accurately captured the key points and essential information from the document in 3 sentences or less as requested. You demonstrated your expertise at summarizing documents concisely.
Mixed Method Research.pptx
Mixed method research involves using both quantitative and qualitative research methods in a single study to provide a more complete understanding of research problems. It is located within the pragmatic paradigm which emphasizes using multiple approaches to answer research questions rather than restricting methods. Mixed method designs combine quantitative and qualitative data collection and analysis to explore research issues. The approach strengthens research by allowing different types of data to complement each other and overcome individual method weaknesses. However, mixed method studies are more complex, time-consuming, and expensive for a single researcher to conduct.
Mixed method research design
Mixed-method research combines both qualitative and quantitative data and analysis techniques to explore research questions. It uses both methods simultaneously or sequentially. The rationale is that it brings rigor, richness, and triangulation to data collection and supports findings by using multiple data sources and methods. Researchers must justify using a mixed approach and ensure they have the expertise to deal with its complexities.
Mixed research-methods (1)
Mixed methods research combines both qualitative and quantitative research approaches and methods. There are four main types of mixed methods designs: triangulation design, embedded design, explanatory design, and exploratory design. The triangulation design concurrently collects and analyzes quantitative and qualitative data to compare or validate results. The embedded design has one data type play a supportive role to the other. The explanatory design uses qualitative data to explain initial quantitative results, while the exploratory design uses qualitative data to develop instruments for a subsequent quantitative phase. Mixed methods research provides a more comprehensive understanding of research problems than a single method alone.
Mixed method research
Mixed methods research involves collecting and analyzing both quantitative and qualitative data within a single study. It originated in the social sciences and has expanded to fields like nursing. There are multiple mixed methods research designs including sequential explanatory, sequential exploratory, concurrent triangulation, and concurrent transformative. These designs differ in whether the quantitative and qualitative components are conducted sequentially or concurrently, and whether one method has priority over the other. The purpose is to develop a more comprehensive understanding than a single method could provide alone.
Mixed methods research2012
No, analyzing the same qualitative data both qualitatively and quantitatively would not constitute a mixed methods study on its own. A mixed methods approach requires the intentional collection and analysis of both qualitative and quantitative data.
Qualitative & Mixed Methods Research
Qualitative research uses words rather than numbers to understand phenomena through interviews, observations and documents. It is useful when little is known about a condition or environment. Some key characteristics of qualitative research include studying things in their natural settings, using the researcher as the instrument of data collection, collecting multiple sources of data, and analyzing data inductively to identify themes. Mixed-methods research combines qualitative and quantitative approaches by collecting and analyzing both types of data sequentially or concurrently.
Mixed method research
This document discusses mixed method research design. It defines mixed methods research as collecting and analyzing both quantitative and qualitative data within a single or series of studies. It outlines the basic characteristics of mixed methods research, including collecting both types of data, considering priority and sequence, and matching analysis to design. The document then discusses various aspects of mixed methods research such as when to conduct it, reasons for using it, types of designs, steps to carry out a mixed methods study, and criteria for evaluating it. It also notes some strengths as being able to describe findings easily but some weaknesses as taking more time.
Mixed method
This document provides an overview of mixed-methods research. It defines mixed-methods research as involving both quantitative and qualitative research methods in a single study to provide a more complete understanding than either method alone. It discusses the history and examples of mixed-methods research in education. Key aspects covered include different research designs like exploratory, explanatory, and triangulation; sampling strategies; steps in conducting mixed-methods research; and evaluating and ensuring ethics in mixed-methods studies. The document aims to explain what mixed-methods research entails at a high-level.
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Grounded theory is a qualitative research method that aims to develop theories inductively from data. It begins with data collection and analysis to allow concepts and theories to emerge from the data rather than testing a predetermined hypothesis. Grounded theory was developed in the 1960s by sociologists Glaser and Strauss and has since split into different paradigms including Straussian, Glaserian, and Constructivist approaches. The key aspects of grounded theory include coding data through open, axial, and selective coding to develop categories and concepts into a theoretical framework or model.
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Qualitative research, types, data collection and analysis
This document discusses various qualitative research methods for collecting and analyzing data. It describes qualitative research as focusing on collecting narrative and visual non-numerical data to understand a phenomenon of interest. It then outlines several common qualitative research approaches like grounded theory, ethnography, phenomenology, narrative research, case studies and the types of data collection methods used in each approach such as interviews, observations, focus groups and document analysis. Finally, it discusses the process of analyzing qualitative data which typically involves preparing, organizing, coding and categorizing the data to identify themes and patterns.
Mixed Methods Research Design
This document discusses mixed methods research, which involves collecting and analyzing both quantitative and qualitative data within a single study. It provides an overview of the main mixed methods research designs, including convergent parallel, explanatory sequential, exploratory sequential, embedded, and transformative designs. For each design, it outlines the purpose, priority of quantitative and qualitative data collection and analysis, and how the different data sources are integrated. The document also discusses evaluating mixed methods studies and some potential ethical issues to consider in mixed methods research designs.
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This document provides an overview of mixed methods research. It discusses the author's background and positioning in mixed methods. It then defines mixed methods research as collecting, analyzing, and integrating both quantitative and qualitative data within a single study. The document outlines key steps in designing a mixed methods study, including determining the research problem, collecting both types of data, analyzing the separate quantitative and qualitative results, and mixing or linking the two forms of data.
Quantitative Methods of Research
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Once a researcher has written the research question, the next step is to determine the appropriate research methodology necessary to study the question. The three main types of research design methods are qualitative, quantitative and mixed methods.
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Mixed methods
This document provides an overview of mixed methods research, including definitions, characteristics, strengths/weaknesses of quantitative and qualitative methods, reasons for using mixed methods, and major mixed methods designs. It discusses the convergent parallel design, which collects and analyzes quantitative and qualitative data concurrently and equally. It also covers the explanatory sequential design, in which qualitative data is used to help explain initial quantitative results. Examples of published studies using each design are provided.
Ethnography
Ethnography is a Social science research method. It is the primary data collection method. It is mainly combined with social background. A qualitative approach that studies the cultural patterns and perspectives of participants in their natural setting.
Ethnography came from Greek, it identifies its roots in sociology and anthropology.
*Ethnos = People
*Graphing = Writing
“Ethnography literally means ‘a portrait of a people’. Ethnography is a written description of a particular culture, the custom, belief and behaviour based on information collected through field work.” (Harris and Johnson 2000).
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Mixed methods research combined
Mixed methods research involves using both quantitative and qualitative research methods in a single study to provide a more complete understanding of the research problem. It started in the 1950s and has become widely used in educational research. There are different types of mixed methods designs including exploratory, explanatory, and triangulation designs that vary in their sequencing and prioritization of quantitative and qualitative data collection and analysis. Key considerations in mixed methods research include sampling strategies, research designs, and ensuring ethical treatment of participants.
Mixed-Methods-Research-Mohammadi.pdf
This document provides an overview of mixed methods research. It defines mixed methods as an approach that involves collecting and analyzing both quantitative and qualitative data to better understand research problems. The document discusses key aspects of mixed methods research such as common designs, advantages and challenges. It also covers topics like paradigm assumptions, strategies for mixing methods, and evaluating mixed methods studies. Major mixed methods designs introduced include convergent parallel, explanatory sequential, and exploratory sequential designs.
Mixed Methods Research Designs
This document discusses mixed methods research designs. It defines mixed methods as procedures for collecting, analyzing, and combining both quantitative and qualitative data in a single study or series of studies. The document outlines the history of mixed methods, types of designs including convergent parallel, explanatory sequential, and exploratory sequential. It also covers key characteristics, ethical issues, steps for conducting mixed methods research, and evaluation of mixed methods studies.
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Mixed method research design
Mixed-method research combines both qualitative and quantitative data and analysis techniques to explore research questions. It uses both methods simultaneously or sequentially. The rationale is that it brings rigor, richness, and triangulation to data collection and supports findings by using multiple data sources and methods. Researchers must justify using a mixed approach and ensure they have the expertise to deal with its complexities.
Mixed research-methods (1)
Mixed methods research combines both qualitative and quantitative research approaches and methods. There are four main types of mixed methods designs: triangulation design, embedded design, explanatory design, and exploratory design. The triangulation design concurrently collects and analyzes quantitative and qualitative data to compare or validate results. The embedded design has one data type play a supportive role to the other. The explanatory design uses qualitative data to explain initial quantitative results, while the exploratory design uses qualitative data to develop instruments for a subsequent quantitative phase. Mixed methods research provides a more comprehensive understanding of research problems than a single method alone.
Mixed method research
Mixed methods research involves collecting and analyzing both quantitative and qualitative data within a single study. It originated in the social sciences and has expanded to fields like nursing. There are multiple mixed methods research designs including sequential explanatory, sequential exploratory, concurrent triangulation, and concurrent transformative. These designs differ in whether the quantitative and qualitative components are conducted sequentially or concurrently, and whether one method has priority over the other. The purpose is to develop a more comprehensive understanding than a single method could provide alone.
Mixed methods research2012
No, analyzing the same qualitative data both qualitatively and quantitatively would not constitute a mixed methods study on its own. A mixed methods approach requires the intentional collection and analysis of both qualitative and quantitative data.
Qualitative & Mixed Methods Research
Qualitative research uses words rather than numbers to understand phenomena through interviews, observations and documents. It is useful when little is known about a condition or environment. Some key characteristics of qualitative research include studying things in their natural settings, using the researcher as the instrument of data collection, collecting multiple sources of data, and analyzing data inductively to identify themes. Mixed-methods research combines qualitative and quantitative approaches by collecting and analyzing both types of data sequentially or concurrently.
Mixed method research
This document discusses mixed method research design. It defines mixed methods research as collecting and analyzing both quantitative and qualitative data within a single or series of studies. It outlines the basic characteristics of mixed methods research, including collecting both types of data, considering priority and sequence, and matching analysis to design. The document then discusses various aspects of mixed methods research such as when to conduct it, reasons for using it, types of designs, steps to carry out a mixed methods study, and criteria for evaluating it. It also notes some strengths as being able to describe findings easily but some weaknesses as taking more time.
Mixed method
This document provides an overview of mixed-methods research. It defines mixed-methods research as involving both quantitative and qualitative research methods in a single study to provide a more complete understanding than either method alone. It discusses the history and examples of mixed-methods research in education. Key aspects covered include different research designs like exploratory, explanatory, and triangulation; sampling strategies; steps in conducting mixed-methods research; and evaluating and ensuring ethics in mixed-methods studies. The document aims to explain what mixed-methods research entails at a high-level.
Grounded Theory
Grounded theory is a qualitative research method that aims to develop theories inductively from data. It begins with data collection and analysis to allow concepts and theories to emerge from the data rather than testing a predetermined hypothesis. Grounded theory was developed in the 1960s by sociologists Glaser and Strauss and has since split into different paradigms including Straussian, Glaserian, and Constructivist approaches. The key aspects of grounded theory include coding data through open, axial, and selective coding to develop categories and concepts into a theoretical framework or model.
Experimental research
This document discusses experimental research methods. It defines experimental research as a method to establish causal relationships between variables. There are three types of experimental research: true experimental research, quasi-experimental research, and pre-experimental research. True experimental research uses random assignment and controls for interfering variables. Quasi-experimental research assigns treatments but cannot randomly assign participants. Pre-experimental research only uses a pre-test and post-test without a control group. The document also discusses threats to validity in experimental research like history, maturation, testing, and others that must be controlled.
Qualitative research, types, data collection and analysis
This document discusses various qualitative research methods for collecting and analyzing data. It describes qualitative research as focusing on collecting narrative and visual non-numerical data to understand a phenomenon of interest. It then outlines several common qualitative research approaches like grounded theory, ethnography, phenomenology, narrative research, case studies and the types of data collection methods used in each approach such as interviews, observations, focus groups and document analysis. Finally, it discusses the process of analyzing qualitative data which typically involves preparing, organizing, coding and categorizing the data to identify themes and patterns.
Mixed Methods Research Design
This document discusses mixed methods research, which involves collecting and analyzing both quantitative and qualitative data within a single study. It provides an overview of the main mixed methods research designs, including convergent parallel, explanatory sequential, exploratory sequential, embedded, and transformative designs. For each design, it outlines the purpose, priority of quantitative and qualitative data collection and analysis, and how the different data sources are integrated. The document also discusses evaluating mixed methods studies and some potential ethical issues to consider in mixed methods research designs.
Mixed methods-research -design-and-procedures
This document provides an overview of mixed methods research. It discusses the author's background and positioning in mixed methods. It then defines mixed methods research as collecting, analyzing, and integrating both quantitative and qualitative data within a single study. The document outlines key steps in designing a mixed methods study, including determining the research problem, collecting both types of data, analyzing the separate quantitative and qualitative results, and mixing or linking the two forms of data.
Quantitative Methods of Research
Quantitative Methods of Research-Intro to research
Once a researcher has written the research question, the next step is to determine the appropriate research methodology necessary to study the question. The three main types of research design methods are qualitative, quantitative and mixed methods.
Quantitative research involves the systematic collection and analysis of data.
Grounded Theory
A comprehensive presentation based on a qualitative research methodology 'Grounded Theory, presented at Government College University Lahore, Pakistan.
Quantitative research design
This document provides an overview of quantitative research designs that are frequently used in educational research, including experimental, correlational, and survey designs. It defines experimental design and describes different types of experimental designs such as true experiments, quasi-experiments, and factorial designs. It also discusses correlational research design, survey research design, and provides the objectives, characteristics, and steps for each design. Finally, it discusses some common ethical issues for each research design.
Grounded theory
This document provides an overview of grounded theory, including its definition, uses, methodology, and key steps. Grounded theory is a systematic qualitative research method for developing theories about phenomena grounded in data. It involves collecting and analyzing data to generate concepts and theories, rather than testing a predetermined hypothesis. The methodology includes open, axial, and selective coding of data to group concepts into categories and identify core themes from which to build an explanatory theory.
Mixed methods
This document provides an overview of mixed methods research, including definitions, characteristics, strengths/weaknesses of quantitative and qualitative methods, reasons for using mixed methods, and major mixed methods designs. It discusses the convergent parallel design, which collects and analyzes quantitative and qualitative data concurrently and equally. It also covers the explanatory sequential design, in which qualitative data is used to help explain initial quantitative results. Examples of published studies using each design are provided.
Ethnography
Ethnography is a Social science research method. It is the primary data collection method. It is mainly combined with social background. A qualitative approach that studies the cultural patterns and perspectives of participants in their natural setting.
Ethnography came from Greek, it identifies its roots in sociology and anthropology.
*Ethnos = People
*Graphing = Writing
“Ethnography literally means ‘a portrait of a people’. Ethnography is a written description of a particular culture, the custom, belief and behaviour based on information collected through field work.” (Harris and Johnson 2000).
Thematic analysis (qa) testing
This document outlines the process of thematic analysis for qualitative research methods. It discusses constructing categories from the data and naming themes. The criteria for categories is that they should be responsive to the research purpose, exhaustive, mutually exclusive, and sensitizing. The number of themes can depend, but preferably there should be five to six according to Cresswell. Different types of qualitative data analysis are described, including phenomenological, grounded theory, ethnographic, narrative, case studies, and content analysis. Guidance is provided on the specific processes for each type. The importance of focusing on the research question rather than getting lost in software is also emphasized.
Mixed methods research combined
Mixed methods research involves using both quantitative and qualitative research methods in a single study to provide a more complete understanding of the research problem. It started in the 1950s and has become widely used in educational research. There are different types of mixed methods designs including exploratory, explanatory, and triangulation designs that vary in their sequencing and prioritization of quantitative and qualitative data collection and analysis. Key considerations in mixed methods research include sampling strategies, research designs, and ensuring ethical treatment of participants.
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This document provides an overview of mixed methods research. It defines mixed methods research as combining both quantitative and qualitative research approaches in a single study. The key points covered include:
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An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
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it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...
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What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
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In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
How to Make a Field Mandatory in Odoo 17
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
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South African Journal of Science: Writing with integrity workshop (2024)
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
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Pride Month Slides 2024 David Douglas School District
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
Pollock and Snow "DEIA in the Scholarly Landscape, Session One: Setting Expec...
South African Journal of Science: Writing with integrity workshop (2024)
South African Journal of Science: Writing with integrity workshop (2024)
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
Mixed method research
- 1. MIXED METHOD RESEARCH ATHIRA SANKAR . M FIRST M.Ed. N.S.S COLLEAGE OTTAPALAM
- 2. WHAT IS MIXED RESEARCH? • Mixed methods researchis a procedurefor collecting, analyzing, and “mixing ” both quantitativeand qualitativemethods in a single study or a series of studentsto understanda researchproblem.- Creswell & Plano Clark (2011)
- 3. MIXED METHODS RESEARCH DESIGN
- 4. COLLECTING BOTH QUANTITATIVE AND QUALITATIVE DATA QUANTITATIVE • Questionnaire • Survey • Census • Attendance Record • Checklists QUALITATIVE • Interviews • Observations • FGD • Documents Studies • Case-Study • Audio-visual materials
- 5. FRAMEWORK FOR VIEWING PERSPECTIVES ON MIXED METHODS Quantitativedata Qualitativedata Findings Findings Comparison Findings
- 6. BASIC CHARACTERISTICS • Provide the rationale for the design • Include collecting qualitative and quantitative data • Consider priority • Consider sequence • Match the data analysis to a design
- 7. REASONS FOR USING MIXED METHODS • To explainand interpret • To explorea phenomenon • To developand to test a new instrument. • To addressquestion at different level
- 8. STRENGTHS? • Can be easy to describeand to report • Can help to generalizequalitativedata • Helpful in describingand validating an instrument • Can positionresearchin a transformative framework
- 9. WEAKNESSES • Time required • Discrepanciesbetween differenttypes of data • Can be difficultto decidewhen t proceedin sequential designs. • Little guidanceon transformative methods