This document discusses qualitative research methods, specifically grounded theory and qualitative data analysis. It begins by defining analysis and qualitative data. It then discusses what qualitative data analysis entails, including examining "why", "what", or "how" questions. The main stages of qualitative analysis are also outlined: transcription, organizing data, familiarization, coding, and identifying themes. Two common approaches are discussed - grounded theory and framework analysis - and their key stages are compared. Grounded theory is elaborated on in more depth, including how the constant comparative method is used in coding and comparing incidents to develop concepts and theories grounded in the data. Both the pros and cons of the grounded theory approach are presented.
Qualitative Research Methods Essay
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Qualitative Research Evaluation Essay
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Methodology Qualitative And Qualitative Research
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The Goal Of Qualitative Research Essay
Essay On Qualitative Research
Qualitative Research Methods Essay
What Is The Generic Qualitative Approach? Essay
Qualitative Reflection
Qualitative Research Essay
Importance Of Qualitative Research
Qualitative Exploratory Essay
Qualitative Research Strategy
Qualitative Research Evaluation Essay
Qualitative Research Methods
Qualitative vs. Quantitative Research Essay
Qualitative Research Questions
Qualitative Research
Essay on Qualitative and Quantitative Research
Methodology Qualitative And Qualitative Research
Qualitative Research
Qualitative Research Essay
The Goal Of Qualitative Research Essay
Essay On Qualitative Research
Let's Talk Research 2015 -Juliet Goldbart - Introduction To Qualitative Metho...NHSNWRD
Introduction To Qualitative Methods: Different Approaches For Different Contexts
Jois Stansfield, Maxine Holt, Nigel Cox, Suzanne Gough, Juliet Goldbart, MMU
PA 550 Research MethodsWeek 1 - 13Andrew (Andy) Pattison.docxgerardkortney
PA 550:
Research Methods
Week 1 - 1/3
Andrew (Andy) Pattison
S
What is Research?
Why Take a Class in Research Methods?
Evidence-based Argumentation
Induction: learning from the world by observation
The Scientific Method
Mendel & pea pods
Modern medicine, Biochemistry, Physics
Social Science Research
Behavior of people: economics, sociology, anthropology
Public Administration & Public Policy
Do people use more public transit when unemployment rates go up?
Make predictions based on evidence, as opposed to assumptions
Ask questions
Surveys, interviews?
How many people?
Which people?
The challenge to the public manager
School principal, fire chief, emergency manager
Types of Research
Descriptive Research: Who? What? When? How many?
Example:
How much homelessness exists in Ventura County?
Explanatory Research: Why? How?
Example:
Why is there so much homelessness in Ventura County?
Causation & Correlation
Causal Inference: X causes Y
Example:
Will a proposed policy (X) actually reduce homelessness in Ventura County (Y)?
Conditions of Causality:
Temporal Order: X comes before Y
Correlation: There is a pattern
Theory: There is an argument as to why X COULD cause Y
No spuriousness: No other factors (Z) are the actual cause
Direct “Positive” Correlation
As X increases, Y increases
Inverse “Negative” Correlation
As X increases, Y decreases
Car Correlation Examples
PA 550:
Research Methods
Week 1 - 3/3
Andrew (Andy) Pattison
A Broad Outline for the Class
Foundations of research design
Data collection approaches
Interviews, field research, surveys
Data analysis approaches
Quantitative and non-quantitative approaches to analysis
Post-analysis issues
Management of projects and presenting results
Basic Elements and Concepts in Research
Clarifying the Purpose of Research and Evaluation Projects
Conceptualization and Operationalization
Project Objectives
Theory and Prior Work
Understanding What to Study and What to Measure
Unit of Analysis
The entities (objects or events) being examined by a researcher
Variables
A characteristic of a unit of analysis that is not constant but instead varies across individual observed cases
Research Questions and Hypotheses
Asking Research Questions (RQ)
A project’s central RQ helps guide a series of more specific sub-questions
The nature of a core RQ relates to the basic purpose of the project:
Descriptive purpose produces “what” or “how” questions
Explanatory purpose produces causality questions
Writing research Hypotheses
“A proposition indicating how two or more factors are related to one another, and stated in a way that it can be tested with empirical evidence”
Empirical, Generalizable, Plausible, Precise
Approaches or Strategies
Qualitative
Quantitative
Mixed Methods
Ethics and the Research Process
Protection of Human Subjects
The case of the Tuskegee Syphilis Study
The Belmont Report
Institutional Review Boards
Chapter 4: Conducting Preli.
Let's Talk Research 2015 -Juliet Goldbart - Introduction To Qualitative Metho...NHSNWRD
Introduction To Qualitative Methods: Different Approaches For Different Contexts
Jois Stansfield, Maxine Holt, Nigel Cox, Suzanne Gough, Juliet Goldbart, MMU
PA 550 Research MethodsWeek 1 - 13Andrew (Andy) Pattison.docxgerardkortney
PA 550:
Research Methods
Week 1 - 1/3
Andrew (Andy) Pattison
S
What is Research?
Why Take a Class in Research Methods?
Evidence-based Argumentation
Induction: learning from the world by observation
The Scientific Method
Mendel & pea pods
Modern medicine, Biochemistry, Physics
Social Science Research
Behavior of people: economics, sociology, anthropology
Public Administration & Public Policy
Do people use more public transit when unemployment rates go up?
Make predictions based on evidence, as opposed to assumptions
Ask questions
Surveys, interviews?
How many people?
Which people?
The challenge to the public manager
School principal, fire chief, emergency manager
Types of Research
Descriptive Research: Who? What? When? How many?
Example:
How much homelessness exists in Ventura County?
Explanatory Research: Why? How?
Example:
Why is there so much homelessness in Ventura County?
Causation & Correlation
Causal Inference: X causes Y
Example:
Will a proposed policy (X) actually reduce homelessness in Ventura County (Y)?
Conditions of Causality:
Temporal Order: X comes before Y
Correlation: There is a pattern
Theory: There is an argument as to why X COULD cause Y
No spuriousness: No other factors (Z) are the actual cause
Direct “Positive” Correlation
As X increases, Y increases
Inverse “Negative” Correlation
As X increases, Y decreases
Car Correlation Examples
PA 550:
Research Methods
Week 1 - 3/3
Andrew (Andy) Pattison
A Broad Outline for the Class
Foundations of research design
Data collection approaches
Interviews, field research, surveys
Data analysis approaches
Quantitative and non-quantitative approaches to analysis
Post-analysis issues
Management of projects and presenting results
Basic Elements and Concepts in Research
Clarifying the Purpose of Research and Evaluation Projects
Conceptualization and Operationalization
Project Objectives
Theory and Prior Work
Understanding What to Study and What to Measure
Unit of Analysis
The entities (objects or events) being examined by a researcher
Variables
A characteristic of a unit of analysis that is not constant but instead varies across individual observed cases
Research Questions and Hypotheses
Asking Research Questions (RQ)
A project’s central RQ helps guide a series of more specific sub-questions
The nature of a core RQ relates to the basic purpose of the project:
Descriptive purpose produces “what” or “how” questions
Explanatory purpose produces causality questions
Writing research Hypotheses
“A proposition indicating how two or more factors are related to one another, and stated in a way that it can be tested with empirical evidence”
Empirical, Generalizable, Plausible, Precise
Approaches or Strategies
Qualitative
Quantitative
Mixed Methods
Ethics and the Research Process
Protection of Human Subjects
The case of the Tuskegee Syphilis Study
The Belmont Report
Institutional Review Boards
Chapter 4: Conducting Preli.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
2. WHAT IS
ANALYSIS?
examination of
to
Analysis is
anything
understand
a detailed
complex
its nature
in order
or to determine
its essential features : a thorough study
WHAT IS
QUALITATIVE
DATA?
Q ualitative data describes qualities or
using
characteristics. It is collected
questionnaires, interviews, or observation, and
frequently appears in narrative form.
Qualitative data is descriptive, expressed in
terms of feelings rather than numerical values.
Qualitative data analysis cannot be counted or
measured because it describes the data. It
refers to the words or labels used to describe
certain characteristics or traits.
3. What is qualitativa data
analysis ?
Qualitative Data Analysis (QDA) is the range of processes and procedures
whereby we move from the qualitative data that have been collected into some
form of explanation, understanding or interpretation of the people and
situations we are investigating.
Qualitative research is particularly good at answering the
‘why’,‘what’or ‘how’questions,such as:
Why are some students with disability not confident?
What are the students' perceptions of using ICT tools in Speaking
class?
How does the local language influence English pronunciation?
etc.
5. GROUNDED THEORY
Thinking about and conceptualising
data. It is an approach to research
as a whole and as such can use a
range of different methods.
(mostly in social study)
FRAMEWORK ANALYSIS
Framework Analysis aims to
meet specific information needs and provide
outcomes or recommendations,
often within a short timescale.
(Mostly in health study)
APPROACHES IN QUALITATIVE
DATA ANALYSIS
6. GROUNDED THEORY FRAMEWORK ANALYSIS
open coding (initial familiarisation with
the data)
delineation of emergent concepts
conceptual coding (using emergent
concepts)
refinement of conceptual coding schemes
clustering of concepts to form analytical
categories
searching for core categories
core categories lead to identification of
core theory
testing of emerging theory by reference
to other research
Familiarization
Identifying a thematic framework
Indexing
Charting
Mapping and Interpretation
KEY STaGES
7. GROUNDED THEORY
consists of 'plausible relationships'(Strauss & Corbin, 1998) among
sets of concepts, which are directly developed from data analysis.
Theory provides a set of testable propositions that help us to
understand our social world more clearly, rather than an
absolute‘truths’.
the aim:theoretical development
focus:'analytic induction'
The appeal of grounded theory analysis is the structured and
detailed procedures for the generation of theory from data.
at the heart of grounded theory is the idea of the constant
comparative method
8. CONSTANT COMPARATIVE METHOD
a critical part of Glaser and Strauss'
(1967) treatise on Grounded Theory.
sort and organize excerpts of raw data
into groups according to attributes, and
organize those groups in a structured way
to formulate a new theory or develop it
develop concepts from the data by
coding and analyzing at the same time"
(Taylor & Bogdan, 1998)
Glaser (1965) suggests 4 stages for constant
comparison:
1)Comparing incidents applicable to
each category
2) Integrated categories and their properties
3) Delimiting the theory
4) Writing the theory
10. HOW DO YOUMAKE COMPARISONS?
CONTRADICTION
EXPANSION
SUPPORT
11. PROS
Avoids making assumptions and instead adopts a more
neutral view of human action in a social context.
(Simmons, DE (2006).
Provides a methodology to develop an understanding of
social phenomena that is not pre-formed or pre-
theoretically developed with existing theories and
paradigms." (Engward, H, 2013)
Particularly well suited for investigating social processes,
where the previous research is lacking in breadth and/or
depth, or where a new point of view on familiar topics
appears promising. (Milliken, P. 2010)
Can identify the situated nature of knowledge, as well as
the contingent nature of practice.
Produces a 'thick description that acknowledges areas of
conflict and contradiction
Better at determining what actually happens.
Adapts readily to studies of diverse phenomena
Can respond and change as conditions that affect behavior
change
CONS
Fails to recognize the embeddedness of
the researcher and thus obscures the
researcher's considerable agency in data
construction and interpretation. (Bryant
and Charmaz, 2007)
Tend to produce large amounts of data,
often difficult to manage
Researchers need to be skillful
There are no standard rules to follow for
the identification of categories