Address and incorporate all the comments made by the committee in your thesis for quick approvals.
The submission of your final research thesis is not the end of your project. Your review committee goes through your work thoroughly and offers its feedback. Sometimes, you not just receive their viewpoints, but also receive additional comments to improve your report. However, you do not need to get disheartened, as we are always there to help you incorporate this feedback rightly into your report. We help you address the received comments after you discuss these with your supervisor.
You only need to share the entire feedback with us so we can review the comments in the light of your submitted thesis. Based on our review, we design an apt strategy to incorporate the required alterations. If your thesis/dissertation chapters need any justified changes, then we make sure to revise these chapters. However, we do not do that without assessing the impact of these changes.
What we do
- checkReliability and validity problems with analyzed data
- checkUse of improper modules/tools for data analysis
- checkNon-usage of academic language, right citation/referencing styles, and correct formats
- checkDetection of plagiarism in your work
- checkLack of references/relevant references
Having an assistant at every step of your research paper for possible publication with UGC care journal list, SCI Indexed, Scopus, ABDC or IEEE Txn.
UGC Approved, IEEE Transaction, IEEE Conference, SCOPUS Indexed, Impact Factor Journal Manuscript Assistance, ABDC Journals.
As a researcher, you can attain recognition through publishing research papers in reputed journals. However, the path to publication is not easy. Publishing in any impact factor journals requires author to do original research, write as per journal standards and patience. A lot of researchers have novelty in their topic but still are unable to get themselves published.
How do we assist?
At PhDGuidance, we have been assisting PhD candidates in developing journal articles for impact factor journals, Scopus Journals, SCI Indexed, ABDC Journals, ELK Asia Pacific Journals, international and national journals. We assist authors in developing unique research objectives, doing implementation/data analysis, drafting the manuscript, formatting and submitting the same. We have published authors as the team who assists aspiring authors to develop the manuscript.
- check Right from topic selection to selection of base papers
- check Developing problem statement
- check Software coding on Matlab, NS2, NS3, HFSS, CST, Java or any other
- check Advanced data analysis using SPSS, AMOS, Stata or E-Views
- check Writing the manuscript as per journal requirements
- check Draft of the Manuscript and Final Review
Areas we assist include management, accounting, law, literature, computer science, data mining, image processing, signal processing, power electronics, mechanical engineering, civil engineering, electrical engineering and social sciences. Some of the journals which we target for publication include: Elsevier, Springer, Emerald, Taylor and Francis, Science Direct, IEEE Transactions, IEEE Conferences and ELK Asia Pacific Journals.
For research paper publication assistance, please contact us at info@phdguidance.org or call at 022 4971 0935.
Implementation of algorithm using Matlab, CST, HFSS, LabView, Java, NS2, NS3 and many more.
We assist PhD candidates for developing algorithm, implementation plan, selecting base paper(s) and formulating a formal problem statement. We assist candidates from the field of Civil, Mechanical, Electrical, Electronics and Computer Science for software implementation of their research projects.
Some of the software’s in which we help includes:
Matlab
NS2, NS3
ANSYS
LabView
Simulink
CST, HFSS
Java
Hadoop
Weka
The team of software experts provide comprehensive support in implementation phase of PhD project. Right from selection of unique problem statement, to developing the algorithm and coding the same in the prescribed software. The code simulation is shown through online live sessions and the code is shared with you for you to run in your system. Complete assistance in explaining how to run the code, providing remote help in setting of the software in your system is also provided.
If you are stuck with your PhD project and need help with coding, implementation using any of the mentioned softwares, please reach out to us at info@phdguidance.org or call at 022 4971 0935.
Study the behaviour of the participants and observe them to analyse for the research work. Manual thematic analysis or using NVivo.
When you perform qualitative research, you mostly study the context of a problem and the involved issues in order to find answers to your research problem. Data analysis methods in qualitative research generally use techniques, such as observation and personal interviews, to answer questions. It requires you to study the behavior of participants for assessing the causes of certain events and actions displayed by them. Qualitative data analysis methods vary significantly from quantitative in the sense that it investigates the ‘how and why’ of things.
Navigating the Challenges of Qualitative Data Analysis in Your PhD Journey
Undertaking qualitative research for your PhD presents a unique set of challenges, requiring a nuanced approach and a keen understanding of the intricacies involved. At PhD Guidance, we recognize and address these difficulties, including offering online qualitative data analysis tools for qualitative research to ensure a seamless and successful qualitative research journey.
1. Complexity of Data Analysis Methods in Qualitative Research
One of the primary challenges in qualitative research lies in the intricate nature of data analysis in qualitative research. Unlike quantitative research that often relies on statistical methods, qualitative data collection methods demand a qualitative researcher to delve into the nuances of themes, patterns, and interpretations. This complexity requires a deep understanding of various analytical techniques, making the process inherently challenging.
2. Subjectivity and Interpretation
Qualitative research is inherently subjective, emphasizing the importance of the researcher’s interpretations and perspectives. Navigating this subjectivity while maintaining rigor and reliability poses a significant challenge. Ensuring that interpretations align with the research objectives and contribute meaningfully to the scholarly discourse requires a high level of skill and expertise.
3. Time-Intensive Nature
Qualitative research is often more time-consuming than its quantitative counterpart. The process of collecting rich and detailed data through methods such as interviews, observations, or content analysis demands meticulous attention and time dedication. Balancing the depth of inquiry with the constraints of time is a constant challenge for PhD researchers.
4. Balancing Structure and Flexibility
Maintaining a balance between the structured framework required for a PhD study and the flexibility demanded by qualitative research methodologies is a delicate act. The inherent openness of qualitative research often challenges the conventional structures expected in a PhD thesis. Negotiating this balance while adhering to academic standards can be a daunting task.
5. Ensuring Rigor and Reliability
Maintaining rigor and reliability in qualitative research is a perpetual challenge. The absence of predefined metrics and the reliance on the researcher’s judgment heightens the importance of establishing trustworthiness in the study. Ensuring that the research design, data collection, and analysis methods align with established criteria for rigor becomes a critical aspect of the qualitative research process.
How We Address These Challenges
At PhD Guidance, our expertise lies in navigating the complexities of qualitative research. We provide comprehensive support to PhD researchers, offering guidance in data analysis in qualitative research, interpretation, and methodological choices. Our seasoned experts understand the unique challenges posed by qualitative research analysis methods, qualitative data collection tools and work collaboratively with researchers to overcome these hurdles, ensuring a robust and successful PhD journey. With a commitment to excellence and a personalized approach, including online qualitative data analysis, we empower researchers to unravel the complexities of qualitative research analysis methods and contribute meaningfully to their academic fields.
Most Common Qualitative Data Analysis Techniques
Qualitative research opens doors to rich, nuanced insights into the intricacies of human experiences and social phenomena. As researchers embark on this exploratory journey, the choice of analysis methods becomes paramount. Here, we delve into six key qualitative analysis methods, each offering a unique lens to decipher the stories embedded in the data.
Content Analysis
Qualitative content analysis is comparable to creating an organized library for your data. This method systematically identifies, categorizes, and evaluates key themes, concepts, and patterns within textual or visual data. Qualitative content analysis is the process of sorting information into folders and subfolders, providing a structured approach to uncovering recurring elements and understanding their prevalence.
Thematic Analysis
Thematic analysis in qualitative research shares similarities with content analysis but delves deeper into the meaning and significance of identified themes. It’s like going beyond the folder labels to analyze the content within, seeking to unravel the underlying stories and narratives. Thematic analysis in qualitative research allows researchers to explore the intricacies of themes and their implications for a more profound understanding.
Grounded Theory
Grounded theory is a dynamic approach that builds theories directly from the data itself, rather than relying on pre-existing frameworks. It’s similar to starting with a blank canvas and letting the data guide the researcher towards new and emergent understandings. This method is particularly suited for exploratory studies where the goal is to generate novel insights grounded in the specificities of the data.
Narrative Analysis
Narrative analysis zooms in on the individual stories and experiences embedded in the data. It focuses on how participants construct meaning and understanding through their narratives. Imagine sitting down to closely listen to each story within your data, drawing connections, and deciphering the unique ways in which individuals shape their experiences into coherent narratives.
Discourse Analysis
Discourse analysis takes a critical stance towards language within the data, examining how it constructs power dynamics, ideologies, and social realities. These qualitative data analysis methods are akin to scrutinizing the style and substance of conversations, uncovering the underlying messages and societal structures embedded in language use. This method allows researchers to unveil hidden meanings and understand the intricate dance of power within communication.
Interpretive Phenomenological Analysis (IPA)
IPA is centered on understanding the lived experiences of participants, delving into their subjective meanings and interpretations. It’s an immersive method where researchers strive to put themselves in the shoes of participants, experiencing the world through their eyes. IPA seeks to capture the essence of individual experiences, providing a deep and personal understanding of the phenomena under study.
Each of these qualitative analysis methods offers a unique perspective, allowing researchers to choose the approach that aligns with their research questions and objectives. The diversity of these methods reflects the richness of qualitative research, offering a myriad of tools to unlock the depth and complexity inherent in human experiences and social phenomena.
The Software You Need
Let’s take a closer look at three powerful tools that have become integral to qualitative analysis, each with its own strengths and considerations.
NVivo
NVivo stands as a cornerstone in qualitative research tools, offering a robust suite of features. It excels in coding, visualization, and reporting, making it a versatile ally for researchers. The software accommodates various data types and types of data analysis in qualitative research including interviews, transcripts, documents, and audio/video. However, it’s important to note that NVivo may have a steeper learning curve, and its pricing can lean towards the higher side.
MAXQDA
MAXQDA is a stalwart in the qualitative research software landscape, known for its strong coding, memoing, and mixed methods analysis capabilities. Its prowess extends to multimedia analysis, making it an ideal choice for researchers dealing with diverse data types. While MAXQDA shines in advanced querying, it’s worth considering that it might come with a relatively higher price tag.
ATLAS.ti
ATLAS.ti stands out for its flexibility and adaptability, offering researchers the freedom to explore diverse analytical approaches and complex coding schemes. This qualitative data collection tools strength lies in providing advanced visualization tools, enhancing the researcher’s ability to derive meaningful insights. However, keep in mind that ATLAS.ti might pose a steeper learning curve initially.
Choosing the right qualitative research tools for data collection and analysis depends on the specific needs of your project, your familiarity with the tool, and budget considerations. These software options and many other qualitative data tools serve as valuable companions, empowering researchers to navigate the complexities of qualitative data analysis tools for qualitative research with efficiency and precision. Whether it’s the comprehensive capabilities of NVivo, the multimedia prowess of MAXQDA, or the flexible adaptability of ATLAS.ti, each tool opens new possibilities for researchers seeking to unlock the depth of qualitative insights.
Navigating Qualitative Analysis: Our Expert Approach
Working on a qualitative research journey demands a systematic and nuanced approach. Our experts, seasoned in unraveling the depth of qualitative data collection methods, follow a comprehensive yet adaptable process. We provide the best way to analyse qualitative data, while the following guidelines serve as a foundational framework, you should know that each of our projects is a unique exploration, personalized to meet the specific needs and nuances inherent in the data.
1. Familiarization with Data: Our experts commence by immersing themselves in the data, whether it’s transcripts, field notes, or other qualitative sources. Thorough readings unveil initial impressions, patterns, and potential themes, setting the stage for a deeper exploration.
2. Data Coding: The coding process kicks off by identifying meaningful units, or “codes,” within the data. Using qualitative research tools for data collection and open coding allows for the generation of initial codes without preconceived categories, fostering a truly exploratory approach.
3. Creating Categories and Themes: Codes are then organized into broader categories or themes, with a keen eye on patterns and relationships within the data. These categories emerge organically, rooted in the data itself rather than being imposed beforehand.
4. Coding Consistency: Ensuring consistency in coding is pivotal. Our experts employ qualitative data tools for inter-coder reliability checks when working in a team or leverage coding software to maintain precision. Codes undergo refinement and revision as needed to enhance the quality of the analysis.
5. Development of Theoretical Framework: Our experts delve into the theoretical realm, contemplating how emerging themes relate to existing theories or contribute to the development of new ones. The aim is to provide a solid theoretical framework that underpins the conceptual basis of the analysis.
6. Constant Comparison: Engaging in constant comparison is a hallmark of our approach. The iterative process involves navigating back and forth between the data, emerging codes, and developing categories/themes. This continual refinement ensures that our findings remain firmly grounded in the richness of the data.
7. Triangulation: To fortify the credibility and validity of findings from the various types of data analysis in qualitative research, our experts embrace triangulation. Utilizing multiple sources of data, such as interviews, observations, and documents, enhances the depth and comprehensiveness of the analysis.
8. Writing-Up Findings: The final step involves crafting a detailed narrative of findings, supported by quotes and examples from the data. Our experts articulate themes, patterns, and insights that have organically emerged from the analysis, providing a nuanced and comprehensive understanding.
In essence, while these guidelines provide a generic roadmap, the true strength of our approach lies in the personalized touch we bring to each project. Recognizing the uniqueness of every research endeavor, our experts tailor the process to meet the distinct requirements and intricacies of the data at hand. The result is a qualitative analysis that not only adheres to established guidelines but also stands as a bespoke exploration, unveiling the richness encapsulated within the unique facets of each project.
Why Choose Us for Qualitative Analysis in PhD Research
Expertise in Diverse Methodologies
We offer the best way to analyse qualitative data. Our seasoned team excels in various qualitative analysis methods, ensuring adept handling of your unique research needs. From content analysis, many qualitative data analysis examples to narrative exploration, we’ve got you covered.
Personalized Approach for Every Project
Recognizing the individuality of each research endeavor, we tailor our qualitative analysis tools and process to meet the specific requirements and intricacies of your data, guaranteeing a bespoke exploration.
Commitment to Rigor and Precision
Our experts prioritize coding consistency, engage in constant comparison, and employ triangulation to fortify the credibility and validity of your findings. Expect a qualitative analysis that stands up to rigorous scrutiny.
Transparent and Collaborative Process
Experience a transparent and collaborative journey with us. From familiarization with your data to the development of a theoretical framework, we keep you informed and engaged at every step.
Emphasis on Theoretical Grounding
We go beyond surface-level analysis, delving into the theoretical realm. Our experts connect emerging themes to existing theories or contribute to the development of new ones, providing a solid conceptual foundation for your research.
Proven Track Record of Success
With a history of successfully guiding PhD researchers through qualitative analysis tools, qualitative data analysis examples and processes, our track record speaks for itself. Join a community of satisfied clients who have achieved excellence in their research endeavors with our support.
Quantitative data analysis of your data using SPSS, AMOS or STATA based on the research topic.
Statistical data analysis is at the heart of your research, as all your findings are based on the way you analyze your raw data. Thus, it can be costly to make mistakes at this stage of research. If you do not use the right statistical tests, tools and techniques, it can be disastrous for your entire research. It is important to be accurate while analyzing and interpreting your findings. This is where our team of professional statisticians can support you.
Services we offer
- checkQuestionnaire Design
- checkQuestionnaire Reliability and Validity Testing
- checkDescriptive Analysis
- checkInferential Analysis
- checkPredictive Analysis
- checkStructural Equation Modelling
Popular Tests Used
- checkAnova
- checkManova
- checkT Test
- checkChi Square
- checkLogistic Regression
- checkCorrelation
- checkSEM using AMOS
Software’s Used
- checkSPSS
- checkSTATA
- checkE-Views
- checkSAS
- checkR
Our Statisticians
Our statisticians ensure that your data is analyzed accurately and your results are well interpreted. Whether it is qualitative or quantitative research, we can handle data analysis of both types. While a quantitative study may require intense analysis, a qualitative study may also not end up with the right results if its data is improperly tabulated and further interpreted. Since both types of research require separate analytical approaches, our statisticians focus on providing relevant assistance using varied tools.
In Case of Your Quantitative Study
In case of your quantitative study, we utilize software like SPSS, Stata, EViews, SAS and AMOS. We also recommend right statistical tests which suit your quantitative study. On the other hand, we make use of packages like NVivo while analyzing data and thematic content for your qualitative study. We additionally help you in designing the methodology for your research so as to effectively answer all research questions.
