The document discusses grounded theory and the constant comparative method as valid qualitative research strategies for educators. It describes grounded theory as developing theory through qualitative data analysis in multiple stages of collecting, refining, and categorizing data. The constant comparative method involves coding and analyzing data simultaneously and developing concepts from comparisons. Data collection methods can include interviews, observations, and document collection. Analysis involves reducing data, open coding, axial coding to relate categories, and selective coding to identify the core category. Theoretical sampling aids analysis and trustworthiness is ensured through triangulation, validity measures, and acknowledging limitations. Grounded theory allows important concepts to emerge from the data through this rigorous process.
valuation is a methodological area that is closely related to, but distinguishable from more traditional social research. Evaluation utilizes many of the same methodologies used in traditional social research, but because evaluation takes place within a political and organizational context, it requires group skills, management ability, political dexterity, sensitivity to multiple stakeholders and other skills that social research in general does not rely on as much.
Data plays an important role in any research or study conducted. It aids in bringing about a breakthrough in the respective field as well as for future researches. The collection of data is carried out in two forms viz: Qualitative Data and Quantitative Data which includes further bifurcation under it.
What is Qualitative Data?
Qualitative research can be defined as the method of research which focuses on gaining relevant information through observational, open-ended and communication method. They are more exploratory which concentrates on gaining insights about the situation and dig a bit deeper to find the underlying reason. The central idea behind using this method is to find the answer to Why and How rather than How many. Data gathered during a qualitative research is what is termed as qualitative data.
What is the purpose?
A qualitative data is non-numerical and more textual which comprises mostly of images, written texts, recorded audios and spoken words by people. Moreover, one can conduct qualitative research online as well as offline too. Apart from this, the varied purpose of qualitative research is as follows:
- To examine the purpose or reason for the situation
- Gain an understanding of the experience of people
- Understanding of relations and meaning
- Varied norms including social and political as well as contextual and cultural practice which impact the cause.
Grounded Theory: A specific methodology developed by Glaser and Strauss (1967) for the purpose of building theory from data. In their book the term grounded theory is used in a more sense to denote theoretical constructs derived form qualitative analysis of data.
Thematic analysis in qualitative research Explained with ExampleSufi Nouman Riaz
https://youtu.be/QNP4KkNFzu4
Thematic analysis is a technique of data analysis while conducting a qualitative study. Thematic analysis is the most recognized, adapted, and used approach to analyze qualitative data.
This video is made as per the illustrations and procedures explained in the Braun and Clarke (2006) research article on Thematic Analysis.
Have you just conducted a qualitative study involving:
Interviews
Focus Groups
Observations
Document or artifact analysis
Journal notes or reflections?
How to use this type of data?
Just as there are numerous statistical tests to run for quantitative data, there are just as many options for qualitative data analysis.
THEMATIC APPROACH
Most common forms of analysis in qualitative research. It emphasizes Pinpointing, Examining, Recording
Patterns (or "themes") within data.
Themes are patterns across data sets that are important to the description of a phenomenon and are associated to a specific research question.
Themes become categories for analysis
6 Phases of Coding
(Thematic Analysis)
1-Familiarization with data
2-Generating initial codes
3-Searching for themes among codes
4-Reviewing themes
5-Defining and naming themes
6-Producing the final report
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).
Qualitative and Quantitative Research Methods in Social Science ResearchPRAKASAM C P
Here Qualitative methods and Quantitative methods used in Social Science research is discussed. Methods such Focus groups, case studies, in-depth interviews, Questioner, Case control and other discussed. Difference in qualitative and quantitative methods
Contextualizing Scientific Research Methodologiesiosrjce
This article dissects the various research instruments currently employed, against the backdrop of
the research design, methodology, population, sampling, and sample size. It highlights quantitative and
qualitative research, data collection methods, as well as the validity and reliability of the investigations. The
article adopted a qualitative research design that utilized documentation analyses to evaluate conventional
approaches to research methods. The study concludes by recommending both qualitative and quantitative
analyses in adding depth to an empirical scientific study
How to develop and manage a case study database as suggested by Yin (2009) wi...stefanie ng
Abstract
This presentation aims at providing useful knowledge and skills which can help doctoral students from different disciplines in doing research which inevitably involves time, energy and cost in data collection and handling of different types of qualitative and quantitative data gathered from various data sources by using a combination of qualitative and quantitative research methods. The process of researching becomes more complex when the researcher decides to adopt a mixed methods design for his/her research study because both qualitative and quantitative research methodological approaches to inquiry are involved in the entire researching process either sequentially or concurrently in data collection, data storage, data retrieval, data examination, data processing, data analysis, interpretation, and reporting of results in the academic piece of work known as a thesis or dissertation. This presentation provides ideas and suggests the necessary steps to take so that a case study database can be developed comprehensively and managed efficiently.
valuation is a methodological area that is closely related to, but distinguishable from more traditional social research. Evaluation utilizes many of the same methodologies used in traditional social research, but because evaluation takes place within a political and organizational context, it requires group skills, management ability, political dexterity, sensitivity to multiple stakeholders and other skills that social research in general does not rely on as much.
Data plays an important role in any research or study conducted. It aids in bringing about a breakthrough in the respective field as well as for future researches. The collection of data is carried out in two forms viz: Qualitative Data and Quantitative Data which includes further bifurcation under it.
What is Qualitative Data?
Qualitative research can be defined as the method of research which focuses on gaining relevant information through observational, open-ended and communication method. They are more exploratory which concentrates on gaining insights about the situation and dig a bit deeper to find the underlying reason. The central idea behind using this method is to find the answer to Why and How rather than How many. Data gathered during a qualitative research is what is termed as qualitative data.
What is the purpose?
A qualitative data is non-numerical and more textual which comprises mostly of images, written texts, recorded audios and spoken words by people. Moreover, one can conduct qualitative research online as well as offline too. Apart from this, the varied purpose of qualitative research is as follows:
- To examine the purpose or reason for the situation
- Gain an understanding of the experience of people
- Understanding of relations and meaning
- Varied norms including social and political as well as contextual and cultural practice which impact the cause.
Grounded Theory: A specific methodology developed by Glaser and Strauss (1967) for the purpose of building theory from data. In their book the term grounded theory is used in a more sense to denote theoretical constructs derived form qualitative analysis of data.
Thematic analysis in qualitative research Explained with ExampleSufi Nouman Riaz
https://youtu.be/QNP4KkNFzu4
Thematic analysis is a technique of data analysis while conducting a qualitative study. Thematic analysis is the most recognized, adapted, and used approach to analyze qualitative data.
This video is made as per the illustrations and procedures explained in the Braun and Clarke (2006) research article on Thematic Analysis.
Have you just conducted a qualitative study involving:
Interviews
Focus Groups
Observations
Document or artifact analysis
Journal notes or reflections?
How to use this type of data?
Just as there are numerous statistical tests to run for quantitative data, there are just as many options for qualitative data analysis.
THEMATIC APPROACH
Most common forms of analysis in qualitative research. It emphasizes Pinpointing, Examining, Recording
Patterns (or "themes") within data.
Themes are patterns across data sets that are important to the description of a phenomenon and are associated to a specific research question.
Themes become categories for analysis
6 Phases of Coding
(Thematic Analysis)
1-Familiarization with data
2-Generating initial codes
3-Searching for themes among codes
4-Reviewing themes
5-Defining and naming themes
6-Producing the final report
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).
Qualitative and Quantitative Research Methods in Social Science ResearchPRAKASAM C P
Here Qualitative methods and Quantitative methods used in Social Science research is discussed. Methods such Focus groups, case studies, in-depth interviews, Questioner, Case control and other discussed. Difference in qualitative and quantitative methods
Contextualizing Scientific Research Methodologiesiosrjce
This article dissects the various research instruments currently employed, against the backdrop of
the research design, methodology, population, sampling, and sample size. It highlights quantitative and
qualitative research, data collection methods, as well as the validity and reliability of the investigations. The
article adopted a qualitative research design that utilized documentation analyses to evaluate conventional
approaches to research methods. The study concludes by recommending both qualitative and quantitative
analyses in adding depth to an empirical scientific study
How to develop and manage a case study database as suggested by Yin (2009) wi...stefanie ng
Abstract
This presentation aims at providing useful knowledge and skills which can help doctoral students from different disciplines in doing research which inevitably involves time, energy and cost in data collection and handling of different types of qualitative and quantitative data gathered from various data sources by using a combination of qualitative and quantitative research methods. The process of researching becomes more complex when the researcher decides to adopt a mixed methods design for his/her research study because both qualitative and quantitative research methodological approaches to inquiry are involved in the entire researching process either sequentially or concurrently in data collection, data storage, data retrieval, data examination, data processing, data analysis, interpretation, and reporting of results in the academic piece of work known as a thesis or dissertation. This presentation provides ideas and suggests the necessary steps to take so that a case study database can be developed comprehensively and managed efficiently.
Student responses
Original Question-
Topic 6 DQ 1
Imagine you are a state-level health policy maker interested in health care access. You want to explore health care access barriers in underserved rural communities. You have contacts in these communities and decide to do a qualitative case study to explore how residents in one small rural community experience difficulties accessing health care services. You plan to use semi-structured interviews, focus groups, and a sociogram as your sources of data. How would you use a thematic analysis approach to analyze these data sets? Should the analysis be inductive or deductive? Why? What is the preferred sequence for analyzing each data set? Explain. In this study, how would you move accordingly from the analysis of raw data to development of codes and thematic findings? Explain.
Tana Response-
As a state-level health policymaker, I explore healthcare access barriers in underserved rural communities. The contacts wards, I decided that the qualitative case study using semi-structured investigate how my interview, focus groups, and sociogram as my data sources. The topical examination is a functional, adaptable, and regularly utilized strategy for personal exploration that recognizes investigates, and deciphers significant examples from an information source. This qualitative data method requires the researcher to read it to derive meaning from the data set. The preferred order for analyzing each data set is first to familiarize oneself with the data, then assign codes, look for, review, define, and name themes or patterns, and finally produce. I would code the data from the sociograms, semi-structured interviews, and focus groups into relevant data sets to determine what these communities' lack of healthcare services means. With enormous data sets that I can categorize into themes, the researcher would employ a thematic analysis method for flexibility in data interpretation. Because the actual data will drive the analysis from the bottom up and the inference drawn from the observation and premise, the reasoning is inductive (Braun and Clarke). In this study, I would proceed accordingly, from analyzing raw data to developing codes and thematic findings by reading the data, assigning codes, and then grouping them into themes and subcodes (Braun and Clarke, 2006). After that, additionally needed coding to examine what the researcher has learned, ensure each code is grouped appropriately according to themes, and then write a final narrative (Braun and Clarke, 2006). The researcher will be able to obtain intuitive data that accurately reflects the information and the descriptions derived with the assistance of qualitative coding (Braun and Clarke, 2006). In the thematic analysis technique in qualitative research, interviews can be better understood and organized (Steffes and Jacobs, (2021). I prefer deductive reasoning in social media surveys, discussions, and questionnaires.
Braun, V., &.
Assignment 2 Case StudyRead the following articleAgostinhodesteinbrook
Assignment 2: Case Study
Read the following article:
Agostinho, S. (2004). Naturalistic inquiry in e-learning research.
International Journal of Qualitative Methods, 4
(1), Article 2. Retrieved Dec. 16, 2005, from
http://www.ualberta.ca/~iiqm/backissues/4_1/pdf/agostinho.pdf
Read the article and respond to the following:
Critique the process of data analysis that was conducted in the original research, as described in the journal article.
In the original research upon which this article is based, the researcher indicated that dominant themes were identified, and the themes were clustered into categories. Critique the underlying inductive logic utilized to analyze the data.
Discuss the researcher’s rationale, as described in the journal article, of adopting a naturalistic inquiry paradigm with regard to the process of data collection and analysis.
All written assignments and responses should follow APA rules for attributing sources.
Assignment 2 Grading Criteria
Maximum Points
Critique the process of data analysis.10Identified the dominant themes as highlighted in the article.10Critique the underlying inductive logic used to analyze the data.10Discuss the researcher’s rationale of adopting a naturalistic inquiry.10Justified ideas and responses by using appropriate examples, material and references from texts, library, and online resource database (see LIBRARY link on left.).10Wrote in a clear, concise, and organized manner; demonstrated ethical scholarship in accurate representation and attribution of sources, displayed accurate spelling, grammar, and punctuation.15
Total:65
*****M6A2 SAMPLE
Case Study Critique
*********M6A2 SAMPLE
Methods and Analysis of Qualitative Research
Introduction
In 2004 Ms. Shirley Agostinho published an article which was titled “Naturalistic inquiry in e-learning research” In this paper the researcher Agostinho (2004) addresses how the naturalistic inquiry paradigm was used in an e-learning research study that looked at the use of the World Wide Web technology in higher education. The purpose of the paper is to review and critique the data analysis process, dominant themes presented, underlying logic and researcher’s rationale for adopting a naturalistic inquiry methodology.
Critiquing the data analysis process
There are numerous approaches for analyzing qualitative data. According to Shilling (2006) content analysis is generally defined as a method of analyzing written, verbal or visual communication messages. Wildemuth and Zhang (2009) isolated eight steps which comprise the process of qualitative content analysis. The following table applies the eight step process to the data reflected in the researchers’ article.
Strengths
Weaknesses and limitations
1). Preparing the data
The researcher collected data through participant observations, interviews, questionnaire and reflexive journal.
Creswell (2009) identifies triangulation as the use of multiple sourc ...
Qualitative, Quantitative and Mixed MethodThe qualitative method o.docxhildredzr1di
Qualitative, Quantitative and Mixed Method
The qualitative method of research is characterized by the collection and analysis of textual data like surveys, interviews, focus groups, conversational analysis and observation (Olds, et-al, 2005). The qualitative approach is more uncertain, studying behavior in natural environments using words, images and identify natural patterns and themes. It also generates new hypotheses and theories based on collected data, narrating reports with description, categories and exploration. The qualitative can refute any hypotheses.
Quantitative research methods use statistical analysis for comparing, description and relating variables. It also uses numerical data, hypotheses testing, effect size and interval estimates. This is used to identify statistical relationships and generalized findings. It uses highly structured methods, such as surveys, questionnaires and observation. This can predict casual relationships; quantify variation, study design, statistical assumptions and conditions. This method is inflexible which helps with meaningful comparisons of responses across participants.
The mixed research method on the other hand is deductive and inductive with multiple objectives and forms. It studies behavior in more than one context or condition. Uses numeric variables, words and images with a statistical and holistic approach. In-depth narrative description and identification of overall themes are used as well. One major popular mixed method approach is the sequential explanatory strategy. This has the advantage of having multiple ways to explore a research problem. The mixed method can address problems of different levels, complement the strengths of single design and overcome the weaknesses as well.
The method selected for my final project model would be the qualitative method. This goes into details and more in depth, with cost-effectiveness, flexible times and locations, making interviews easier. It gives a clear picture of complex problems including how and what experiences about the project simply seeking to discover and understand the perspectives and views of people involved.
Citations
Mixed-Methods Approach. (n.d.).
http://www.statisticssolutions.com/mixed-methods-approach/
Northeastern university. (n.d.). Retrieved April 21, 2017, from
http://www.ccs.neu.edu/
Tan, D. (n.d.). Research design Qualitative, Quantitative, and mixed methods.
http://www.scribd.com/doc/51107663/research
peer2
Qualitative Research method is information that is gathered that can be discussed. It gathers information that can be formed into a hypothesis. According to the text, "much like in quantitative research, it is used as a broad explanation for behavior and attitudes, and it may be complete with variables, constructs, and hypotheses" (Creswell, 2013). When testing your hypothesis with qualitative research, there are many different processes that can be conducted. .
Though there are similarities concerning qualitative and quantitative research methodologies, both have distinguishing
fundamental ontological and epistemological perspectives that are unique to their respective research design. When contemplating a
methodological approach in order to answer a research question, qualitative and quantitative methodologies are not mutually
exclusive. Though the characteristics of each methodology are distinct, their corresponding qualities add to their rigor, and both
methodologies have the capacity to inform one another in order to generate, test, and confirm theory. To illustrate this, a qualitative
collective case study and a quantitative survey research method are examined. The application of each design is considered to the
extent of their usefulness in attaining a comprehensive understanding of complex phenomena. Finally, implications for future
research are also offered.
Running head APPLIED RESEARCH PROJECT .docxhealdkathaleen
Running head: APPLIED RESEARCH PROJECT 1
APPLIED RESEARCH PROJECT 6
Module 7 Assignment 7.1
Applied Research Project
Survey Design Quantitative Methods
Karen Crump
National Louis University
Dr. Cherie Meador
Introduction
By evaluating the development and learning programs, employers can ensure their development and learning initiatives can be put in line with their overall development and learning strategies and business objectives (Harlow, Burkholder and Morrow, 2002). An efficient evaluation process for learning or development in organizations needs the firm to understand their learning needs, whether or not these align with the established strategy of growth and learning as well as how the program supports the entire plan. There are various quantitative techniques which employers can use to evaluate learning and development in corporations. These include testimonials to quantitative research approaches, development metrics testimonies, and post-training questionnaires. Education contributes to strategic values that are aligned with the objectives of a business, thus evaluating the process is a crucial activity in corporations (Harlow, Burkholder and Morrow, 2002). This work will analyze a quantitative survey design that can be used to collect and analyze data in a corporation’s learning and development (L&D) program. The validity and reliability of the model will also be provided.
Quantitative Survey techniques
An example of a quantitative research technique that can be used in corporations to evaluate L&D programs is the survey research method. This approach involves a process where the researcher poses some set of predetermined questions a sample of individuals and an entire group of persons. This research method is particularly useful in cases where a researcher is interested in explaining or describing features of groups or a considerable group. This method may also be employed as a way of obtaining general information on a particular population of interest which in turn helps one prepare for in-depth and more focused research that makes use of highly time-intensive methods including interviews and field research. In such a scenario, a survey is central in a researcher bid to identify specific locations and specific individuals from which additional data can be obtained or collected (Creswell & Creswell, 2017). Just like other methods of data collection, survey research is better suited and positioned to provide answers to some kinds of research questions in comparison to other research methods (Creswell & Creswell, 2017).
The Design of Quantitative Survey Method: Questionnaires
Quantitative survey design like Post-training questionnaire is aimed at understanding and discovering the thoughts of people, their action, and their feelings concerning a specific ...
peer1 Qualitative, Quantitative and Mixed MethodThe qualitati.docxbartholomeocoombs
peer1
Qualitative, Quantitative and Mixed Method
The qualitative method of research is characterized by the collection and analysis of textual data like surveys, interviews, focus groups, conversational analysis and observation (Olds, et-al, 2005). The qualitative approach is more uncertain, studying behavior in natural environments using words, images and identify natural patterns and themes. It also generates new hypotheses and theories based on collected data, narrating reports with description, categories and exploration. The qualitative can refute any hypotheses.
Quantitative research methods use statistical analysis for comparing, description and relating variables. It also uses numerical data, hypotheses testing, effect size and interval estimates. This is used to identify statistical relationships and generalized findings. It uses highly structured methods, such as surveys, questionnaires and observation. This can predict casual relationships; quantify variation, study design, statistical assumptions and conditions. This method is inflexible which helps with meaningful comparisons of responses across participants.
The mixed research method on the other hand is deductive and inductive with multiple objectives and forms. It studies behavior in more than one context or condition. Uses numeric variables, words and images with a statistical and holistic approach. In-depth narrative description and identification of overall themes are used as well. One major popular mixed method approach is the sequential explanatory strategy. This has the advantage of having multiple ways to explore a research problem. The mixed method can address problems of different levels, complement the strengths of single design and overcome the weaknesses as well.
The method selected for my final project model would be the qualitative method. This goes into details and more in depth, with cost-effectiveness, flexible times and locations, making interviews easier. It gives a clear picture of complex problems including how and what experiences about the project simply seeking to discover and understand the perspectives and views of people involved.
Citations
Mixed-Methods Approach. (n.d.). http://www.statisticssolutions.com/mixed-methods-approach/
Northeastern university. (n.d.). Retrieved April 21, 2017, from http://www.ccs.neu.edu/
Tan, D. (n.d.). Research design Qualitative, Quantitative, and mixed methods. http://www.scribd.com/doc/51107663/research
peer2
Qualitative Research method is information that is gathered that can be discussed. It gathers information that can be formed into a hypothesis. According to the text, "much like in quantitative research, it is used as a broad explanation for behavior and attitudes, and it may be complete with variables, constructs, and hypotheses" (Creswell, 2013). When testing your hypothesis with qualitative research, there are many different processes that can be .
Similar to Grounded Theory and the Constant Comparative Method (20)
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.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
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!
A Strategic Approach: GenAI in EducationPeter 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.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
2. Journal of Emerging Trends in Educational Research and Policy Studies (JETERAPS) 3(1):83-86 (ISSN:2141-6990)
84
Participant Observing
Participant observation is a process where the
researcher can observe a setting to fully participating
in the setting to collect data (Glesne & Peshkin,
1992). The main purpose for participant observation
is the gain thorough understanding of the research
setting and the participants in the study. Often
participant observation is used in conjunction with
interviewing to collect data in the participant’s words
(Bogdan & Biklen, 2006).
Interviewing
The process of interviewing during a qualitative
study allows the researcher the opportunity to gain
the perspectives of other individuals. Glesne and
Peshkin share how “the opportunity to learn about
what you cannot see and to explore alternative
explanations of what you do see is the special
strength of interviewing in qualitative inquiry” (1992,
p. 65). The interactive nature of interviewing is a
component mentioned often as a practice in grounded
theory (Strauss & Corbin, 1990). In the grounded
theory approach the researcher attempts to analyze
the data to develop a theoretical interpretation of
what is acquired through observation (Kvale &
Brickmann, 2008). Accordingly, vast amounts of
data can be collected through the process of
interviewing. Researchers should continue data
collection until the point of data saturation (Glaser &
Strauss, 1967).
Data saturation occurs when the researcher is no
longer receiving information that has not previously
been noted (Glaser & Strauss). During the onset of
data saturation, the researcher begins to obtain a
better understanding of which directions to pursue
throughout analysis (Bogdan & Biklen, 2006). Data
collection and data analysis occur simultaneously
throughout the duration of a qualitative study (Kolb
& Hanley-Maxwell, 2003). The development of
generating theory is dependent on the conjunction of
data collection and analysis.
ANALYSIS
Bogdan and Biklen (2007) explain data analysis as a
systematic process of sifting and arranging all
information obtained from interview transcripts, field
notes and other material collected to increase your
understanding of the data to enable the presentation
of what have been discovered. In a grounded theory
approach, the areas of reducing the data into
manageable units and coding information are integral
parts of the analysis process (Miles & Huberman,
1994).
Data reduction
In qualitative research, data reduction continues
throughout the duration of the study. Data reduction
is a process that involved selection, simplification,
abstraction and transformation of the raw data (Miles
& Huberman, 1994). Data reduction is a form of
analysis that can be used to combine pieces of
information into categories.
Coding
Strauss and Corbin (2008) refer to the process of
analyzing data as coding. Coding involves three
levels of analyses: (a) open coding, (b) axial coding,
and (c) selective coding, to gather a complete picture
of the information obtained during the data collection
process (Strauss & Corbin). During this first phase of
the coding process the researcher is comparing data
and continually asking questions about what is and is
not understood. The identification of different
categories, properties, and dimensions within and
among the data can be accomplished by a variety of
techniques that examine parts or the whole document
in a systematic manner (Strauss & Corbin).
The next step of coding is the axial coding procedure
where data are pieced together in new ways after
open coding allowing connections between
categories. By the continuation of asking question
and making comparisons, the inductive and deductive
thinking process of relating subcategories to a
category is the main emphasis of the axial coding
(Strauss & Corbin).
In the final stage of coding, Strauss and Corbin
(2008) define selective coding as the process of
identifying and choosing the core category,
systematically connecting it to other categories,
validating those similarities and relationships and
then completing categories that, that need further
refinement and development. Only after the process
of crucial integration of weaving and refining all the
major categories into the selection of a core category
can the grounded theory emerge (Strauss & Corbin).
The concepts and relationships that are developed
through the coding process help guide the data
collection and analysis process referred to as
theoretical sampling.
THEORETICAL SAMPLING
In qualitative research, the process of theoretical
sampling combined with the constant comparative
method mentioned above is a significant strategy
used by researchers in the development of grounded
theory (Glaser & Strauss, 1967). Taylor and Bogdan
(1998) explain that theoretical sampling is a
procedure of selecting additional cases to be studied
to gather new insights or expand and refine concepts
already gained. Theoretical sampling is often used in
conjunction with the three levels of coding as
describe by Strauss and Corbin (2008). During the
first level of open coding, sampling is purposeful and
systematic; the second level of axial coding
incorporates sampling in a more structured systematic
approach to help validate relationships among the
data; and the final level, selective coding, specifically
3. Journal of Emerging Trends in Educational Research and Policy Studies (JETERAPS) 3(1):83-86 (ISSN:2141-6990)
85
seeks a more deliberate agenda of sampling to help
test and integrate categorical findings until the point
of data saturation (Strauss & Corbin, 2008). Data
saturation is the point when the information collected
in the study becomes redundant (Bogdan & Biklen,
2006). It is necessary for data saturation to occur to
help ensure that adequate information has been
gathered to accurately reflect the perspectives of the
study’s participants.
Trustworthiness and Limitations
Establishing trustworthiness and considering study
limitations are major factors in accurately reflecting
the integrity of the research project (Glesne &
Peshkin, 1992). Although it is difficult to prove
absolute exactness of research; various strategies
have been identified in the literature to improve
trustworthiness through triangulation (Kolb &
Hanley-Maxwell, 2003).
Triangulation
Triangulation is a technique used to accurately
increase fidelity of interpretation of data by using
multiple methods of data collection (Glesne &
Peshkin, 1992). Triangulation usually depends on the
convergence of data gathered by different methods; it
can also be achieved using the same method gathered
over time. Primarily, the goal of obtaining
triangulation is the enhancement of validity and
trustworthiness (Glesne & Peshkin).
Validity
It is the researcher’s responsibility to take
precautionary measures to confirm areas of validity
within his/her research (Strauss & Corbin, 2008).
Measures that can be taken to promote validity in a
study are reflexivity, documentation, theoretical
sampling, negative case analysis and transferability
(Denzin & Lincoln, 2005). Because validity is an
area of concern in research methodologies,
researchers need to account for the information
provided in the study and to acknowledge internal
and external validity (Kolb & Hanley-Maxwell,
2003). Internal validity addresses the accuracy of the
data by incorporating the procedures of triangulation,
member checks, and participant involvement
(Creswell, 2007). External validity addresses the
areas of reliability and generalization. The focus of
qualitative research is to form unique impressions
and understandings of events rather than to generalize
the findings (Creswell). Generalization in a
qualitative study is enhanced by carefully examining
the extent to which the development of the grounded
theory can be applied to other cases (Bickman &
Rog, 2008). The chances of replicating the study are
more likely when detailed protocols are recorded,
researcher biases are noted, and individual
perspectives are anticipated (Creswell, 2007). In
addition to validity, another measure to strengthen the
validity is for the researcher to constantly be reflexive
throughout the duration of the study (Bickman &
Rog).
Reflexivity
Another major threat to validity can be the researcher
herself. Two threats to validity that commonly occur
in qualitative studies are the bias of the researcher
and reactivity which is the effect the researcher has
on the setting or the study (Bickman & Rog, 2008).
One attempt to help minimize the effects of the
researcher bias on the study is reflexivity. In being
reflexive the researcher must incorporate continuous
awareness of reflecting, examining and exploring
his/her relationship through all stages of the research
process (Conrad et al., 1993). In addition to being
reflexive an examination of negative case examples
provides another method in checking accuracy of data
analysis (Denzin & Lincoln, 2005).
Negative Cases
Similar to reflexivity, examining negative cases
provides another strategy from interjecting personal
bias in analysis. By investigative negative cases,
researchers may gain valuable insight from the
smallest piece of data that may appear insignificant at
one moment but prove the contrary in the final
analysis (Taylor & Bogdan, 1998). Negative cases
refer to data that seems to stand far apart from the
other data collected and does not coincide with the
emergent theory. Researchers should carefully
analyze negative cases to deepen understanding of the
people they are studying (Taylor & Bogdan).
Finally, in conjunction with the above measures to
increase validity with a grounded theory approach,
the two central procedures of the constant
comparison and theoretical sampling are recognized
as a means of validity in research (Parry, 1998).
Through a search of the literature, researchers
continue to stress the importance of accurately
presenting information to reflect the most vivid
meaning of the data. It is the researcher's
responsibility to take necessary measures to
triangulate and validate findings, by thoroughly
checking the interpretation and analysis to avoid
unnecessary study limitations (Glesne & Peshkin,
1992). Regardless of what precautions are taken,
limitations will be present; therefore, it is the
researchers' responsibility to acknowledge those
circumstances to help clarify the qualities of the study
(Collet-Klingenberg, & Kolb (2011).
LIMITATIONS
Grounded theory is one of a variety of qualitative
research methodologies, which may or may not be
the most appropriate method based on the research
problem or question. An area of caution is needed
when selecting the most appropriate method to help
the researcher arrive at a greater understanding and
knowledge of the problem. Therefore, issues such as
4. Journal of Emerging Trends in Educational Research and Policy Studies (JETERAPS) 3(1):83-86 (ISSN:2141-6990)
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managing the data and credibility are identified as
concerns. Bickman and Rog (2008) suggested that
data analysis should begin immediately after each
interview and continue interpretive analysis until
completion of the study. In a qualitative study, the
sampling plan used by the researcher can have an
inherent potential for bias. Purposive, convenience
and theoretical sampling strategies may produce a
biased sample (Bodgan & Biklen, 2006). Primarily,
the researcher must be aware of potential limitations
of the study and honestly share them with the readers
(Collet-Klingenberg, & Kolb (2011). Lastly, the
researcher’s personal world view and individual
biases are contributing factors that may influence the
study. It is necessary to be cognizant of these factors
and guard against interjecting bias within the study.
CONCLUSION
In summary, grounded theory is an approach that
allows important concepts to emerge out of the data
(Strauss & Corbin, 2008). The approaches and
strategies described in this paper help demonstrate
through the process of grounded theory; meaning is
created through the generation of data. Glaser and
Strauss explain “an insight, whether borrowed or
original, is of no use to the theorist unless he converts
it from being simply an anecdote to being an element
of theory (1967, p. 254). There are creative and
innovative ideas forming and evolving in the minds
of educators. I feel the challenges that educators
meet are not the lack of great ideas, but the lack of
taking the time to listen to the ideas, asking more
questions, comparing these thoughts with other ideas,
pondering and sorting through these meanings, and
then researching and writing these conclusions.
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