Struggling with Your Quantitative Analysis? Get Expert Dissertation Help Now
Expert analysis, fast results, and unlimited revisions – we handle the stats so you can focus on your success.
Is a demanding committee chair causing frustration? Are you juggling career responsibilities, family commitments, and tight dissertation deadlines? We understand how challenging it can be to manage it all. That’s why we’re here—to take the stress of quantitative analysis off your shoulders so you can focus on what matters most.
- Expertise in All Major Statistical Software: Whether you use SPSS, Stata, R, or SAS, our experienced team has the skills to handle even the most sophisticated analyses.
- Tailored Solutions: Your project is unique, and we ensure that the analysis is customized to meet your university’s specific requirements, making approval a seamless process, even if your committee has high standards.
- Unlimited Revisions: We’re committed to your success. We work with you until your committee is fully satisfied, providing revisions until your project meets every requirement.
- Fast Turnaround: Worried about meeting a deadline? We deliver results within 2 to 3 days, so you can stay on schedule without compromising quality.
With over 18 years of experience and recognition as an INC 500 company, the world’s leading dissertation consulting firm is here to guide you through every step of your Quantitative Analysis and Results sections. We understand the challenges of handling complex data analysis while meeting tight deadlines. That’s why our expert statisticians, proficient across diverse disciplines, provide the dedicated support you need. You’ll receive tailored assistance to ensure your results are precise, comprehensive, and meet the highest academic standards.
Statistical Analysis – Precision Consulting
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Our team of expert statisticians and academic consultants is dedicated to providing precise, tailored results that align perfectly with your research objectives. From basic descriptive statistics to advanced techniques like regression analysis, ANOVA, and Structural Equation Modeling (SEM), we ensure each analysis is clear, accurate, and crafted to meet the highest academic standards.
Working against a deadline? We offer rapid, dependable results with the flexibility to meet tight timelines. With unlimited revisions until your committee’s final approval, you’ll have ongoing support to refine and perfect your results. Call us today (646) 553-4730 for personalized, one-on-one guidance to help you succeed—efficiently, confidently, and with exceptional quality.
Your Quantitative Analysis: Expertly Handled
At this critical stage of your dissertation, the Quantitative Analysis and Results section is where your data must shine. If balancing deadlines, career obligations, or family responsibilities feels overwhelming, let us ease that burden.
Our expert statisticians will transform your raw data into meaningful, well-organized findings that clearly answer your research questions. With our streamlined approach, you can focus on preparing your defense or addressing other priorities, knowing your analysis is in expert hands.
Why Our Proven Process Works for You:
- Precision and Accuracy: We ensure every analysis is conducted with the highest level of statistical rigor, producing reliable and accurate results.
- Clarity in Presentation: We make your results easy to understand and aligned with your research goals, ensuring they’re presented clearly for your committee.
- Approval-Ready: We don’t just deliver results; we ensure that every part of your analysis meets your university’s approval standards.
If you’re feeling pressed for time or overwhelmed by the complexity of your quantitative analysis, we’re here to help. Our team will guide you every step of the way, providing expert support to ensure your results chapter is exceptional and approval-ready.
Contact us today (646) 553-4730 for a free consultation and let our expert team take the stress out of your quantitative analysis. We’re here to ensure you get fast, precise results that drive your dissertation forward.
There are 3 ways to initiate contact with us:
- Please review and submit the following form. Someone from our team will contact you within 1 hour (during business hours), or at your requested time.
- Our consulting team is available via telephone Monday through Friday from 8:00 A.M. to 8:00 P.M Eastern Time (5:00 A.M. to 5:00 P.M Pacific Time), and from 8:00 A.M. to 7:00 P.M. Eastern Time on Saturday (5:00 A.M. to 4:00 P.M Pacific Time). Feel free to call us on (646) 553-4730!
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Please be prepared to discuss the specifics of your project, your timeline for assistance, and any other relevant information regarding your proposed consultation. We respect the confidentiality of your project and will, at your request, supply you with a Non-Disclosure Agreement before discussing specifics.
Step 1: Initial Consultation and Data Assessment
Start strong with expert guidance – from refining your data to selecting the perfect statistical methods, we set the foundation for a flawless analysis.
Your journey with us begins with a comprehensive consultation where we work to fully understand your research and objectives. This step is crucial because the effectiveness of your analysis depends on a thorough understanding of your research design and data. We’ll collaborate closely with you to ensure that every element of your quantitative analysis aligns seamlessly with the overall goals of your dissertation. The key services you’ll receive:
- Review of Research Questions and Hypotheses: We carefully review your research questions, hypotheses, and variables to ensure that the statistical methods we recommend are perfectly suited to the relationships you want to explore.
- Dataset Evaluation: We’ll evaluate the structure and quality of your dataset, identifying any inconsistencies or gaps that could impact your analysis. If needed, we’ll offer recommendations to refine your data for optimal results.
- Selection of Statistical Methods: Based on your study design, whether it’s correlational (examining the relationship between two or more variables without manipulating them), experimental (involving the manipulation of one or more variables to measure their effect on an outcome), or quasi-experimental (similar to experimental but without random assignment to groups), we’ll help you identify the most appropriate statistical techniques. This ensures that your analysis is statistically valid and that your results are both compelling and aligned with your objectives.
With our expertise, you can rest assured that your analysis will be rooted in the most appropriate methodology. This initial step is designed to lay a solid foundation for the entire analysis process, ensuring you stay on track and avoid potential missteps.
Step 2: Performing the Statistical Analysis
Detailed, precise, and tailored to your research—our expert statisticians handle every step of your analysis, from descriptive stats to advanced methods, ensuring results you can trust.
Once we’ve thoroughly assessed your dataset and research design, we get to work. Whether you need basic descriptive statistics or advanced multivariate techniques, our expert statisticians ensure that your analysis is performed with speed, precision, and unwavering attention to detail. Our goal is to deliver results that are not only statistically sound but also easy for you to understand and present confidently. The types of analyses we perform for you:
- Descriptive Statistics: We summarize your data, providing insights into key measures like mean, median, mode, standard deviation, and frequency distributions. This offers you a clear understanding of your sample before moving on to more complex analyses.
- Correlational Analysis: If your study examines relationships between variables, we’ll perform correlation tests such as Pearson, Spearman, Kendall, or Point-Biserial correlations, depending on your data and research questions.
- Inferential Statistics: From t-tests and ANOVA to chi-square tests and regression analysis (simple, multiple, or logistic), we assess relationships, group differences, and predictive models, providing you with results that confidently support your research conclusions.
- Advanced Methods: For studies requiring advanced techniques, we handle sophisticated methods like Structural Equation Modeling (SEM), path analysis, and factor analysis. Even the most complex analyses are completed with the highest degree of accuracy, so you can trust the results.
Expertise Across Statistical Software:
We are proficient in a wide range of statistical software, including SPSS, SAS, Stata, R, AMOS, LISREL, and more. No matter which software your study requires, we ensure your analysis is done quickly and efficiently, tailored to meet the specific needs of your dissertation.
With our team’s deep expertise, you can trust that your analysis will be precise and customized to meet your dissertation’s requirements, providing accuracy at every step.
Step 3: Presentation of Results
Clear, visually compelling, and aligned with your research—our expert presentation of results ensures your data is easy to interpret and strengthens your dissertation’s argument.
The way your results are presented is just as crucial as the analysis itself. Once the statistical analysis is complete, we focus on organizing your findings in a clear, logical, and visually appealing format that adheres to your university’s specific guidelines (APA, MLA, or others). We understand that clarity is essential—both for your understanding and for your committee’s review. The included deliverables are:
- Tables and Charts: We create detailed tables and charts for both descriptive and inferential statistics. These are designed to highlight key findings and make your data easy to interpret.
- Visual Representations: We provide graphs, scatterplots, and other visuals to illustrate significant relationships, trends, and correlations within your data. These visuals are essential for conveying complex information in a way that’s easy to understand.
- Detailed Explanations: For every statistical test performed, we include comprehensive explanations of the results. We go beyond the numbers, ensuring you understand the meaning and implications behind the statistics.
- Integration with Research Questions: We ensure that your findings are directly linked to your research questions and hypotheses, making your results section cohesive and compelling.
Example Deliverables You’ll Receive:
- ANOVA Tables: Complete with F-statistics, showing differences between groups.
- Regression Coefficient Tables: Displaying how your variables interact and identifying key predictors.
- Graphs and Figures: Highlighting trends and relationships within your data to support your research conclusions.
At every step, we ensure that your results are presented in a way that not only meets your university’s requirements but also strengthens your overall argument, making your results section clear and persuasive.
Step 4: Interpretation and Discussion of Results
Confidently understand and defend your findings—our expert guidance ensures you grasp every result and its significance in your research.
Performing the analysis is only part of our service. At Precision, we provide you with detailed support in interpreting your results so that you can confidently present and defend your findings. We work with you to ensure that every result is understood and its relevance to your study is clear. The key services are:
- Interpretation of Statistical Outputs: We break down each statistical result, explaining what it means in the context of your research. Our team makes sure you understand the implications of each finding, whether it supports or challenges your hypotheses.
- Linking Results to Research Questions: We help you connect your statistical findings back to your research questions, ensuring that your results contribute directly to answering those questions.
- Discussing Significance: We guide you through discussing the statistical significance of your findings, helping you frame your results in a way that is clear and meaningful.
- Explaining Unexpected Trends: Not all results may align with your hypotheses, and we help you explain any non-significant findings or unexpected trends in a way that still strengthens your dissertation.
By the end of this stage, you’ll have a deep understanding of your results and will be fully prepared to discuss and defend your findings in front of your committee.
Step 5: Revisions and Final Submission Support
With unlimited revisions and fast, reliable support, we’re with you until your results chapter is flawless and fully approved—ensuring a smooth path to submission success.
Once your results are delivered, our support doesn’t stop there. We understand that your committee may have additional feedback, and we are committed to providing unlimited revisions until your Results Chapter is fully approved. The key services are:
- Unlimited Revisions: We revise your results as often as necessary to ensure that they meet your committee’s expectations and your university’s formatting requirements.
- Quick Turnaround on Revisions: Feedback from your committee can come at any time, and we prioritize fast, accurate revisions to ensure you remain on track for your deadlines.
- Final Review for Compliance: Before submission, we conduct a final review to ensure that every aspect of your results chapter complies with formatting and presentation standards, ensuring a smooth submission process.
Ready to ensure your dissertation exceeds expectations?
Call us today (646) 553-4730 for a complimentary consultation. From initial analysis to final approval, we’re committed to supporting you every step of the way, staying by your side until your dissertation is fully approved and ready for submission.
Expertise in Advanced Quantitative Methods
We also excel in handling advanced statistical techniques, ensuring that your dissertation results section is robust, sophisticated, and impactful. For candidates whose research demands high-level quantitative methods, our team provides both a thorough analysis and a clear explanation of each method used, helping you understand and present your findings with confidence. We specialize in a wide range of advanced methods, including:
- Structural Equation Modeling (SEM): Uncover complex relationships between variables with precision.
- Regression Analysis: Whether you’re conducting multiple regression or logistic regression, we ensure your models are sound and your interpretations accurate.
- Factor Analysis: Both Exploratory and Confirmatory
Factor Analysis to determine underlying relationships between observed variables. - Time Series Analysis: Ideal for studies requiring the analysis of data points collected over time.
- Bayesian Statistics: Leverage prior knowledge to inform your data analysis.
- Multivariate Analysis (MANOVA, MANCOVA): Analyze multiple dependent variables simultaneously for a comprehensive understanding of the effects.
Master even the most complex quantitative methods—our advanced expertise delivers sophisticated, impactful results that will impress your committee.
Our software expertise spans across all major platforms, including SPSS, SAS, Stata, R, AMOS, LISREL, and other specialized packages, ensuring we can meet the exact requirements of your dissertation. No matter how complex your analysis needs, Precision ensures that your results are presented accurately, clearly, and in a format that meets the rigorous standards of your committee.
Let us handle the advanced statistical techniques for you, ensuring your dissertation makes a lasting impression.
Managing the Challenges of Mixed Methods Research
Mixed methods dissertations demand the seamless integration of both quantitative and qualitative data, a process that can be both complex and time-consuming. We specialize in offering expert support to help you streamline this process, ensuring a cohesive results chapter that effectively addresses both dimensions of your research.
Make sense of mixed methods with our expert support—we help you blend quantitative and qualitative data into clear, compelling results that tell the full story of your research.
Our approach ensures that quantitative and qualitative analyses are not only performed with precision but also interpreted together to give you a comprehensive understanding of your findings. We assist in highlighting how the results from each method interact, allowing you to present well-rounded, compelling answers to your research questions. Our key services are:
- Integration of Results: We combine your quantitative and qualitative data in a way that strengthens the overall conclusions of your study.
- Detailed Explanation: Our team provides clear explanations of how each set of findings supports your overarching research goals, ensuring that the narrative of your results is cohesive.
- Tailored Analysis: Whether you need statistical analysis for your quantitative data or thematic analysis for your qualitative data, we tailor our services to your specific needs, ensuring both are interpreted in harmony.
With our support, your mixed methods research will not only stand out for its depth but also for the clarity and coherence with which it presents its findings.
Fast, Reliable, and Expert Quantitative Consulting
We go beyond traditional support, offering fast, reliable, and expert quantitative consulting that gets your dissertation where it needs to be—on time and with approval-ready results. Our focus is on delivering more than just analysis; we provide a partnership that ensures your success at every step of the process.
- Fast Turnaround: We understand how critical your timeline is. That’s why we provide fast results with flexible turnaround options, ensuring your quantitative analysis is completed with speed and accuracy. Whether you’re facing tight deadlines or need results even faster, we’ll keep your dissertation on track without compromising quality.
- Unlimited Revisions: Your dissertation deserves nothing less than perfection, which is why we offer unlimited revisions. We revise your results as many times as necessary until your committee is fully satisfied, making sure every detail aligns with your university’s exact requirements.
- Expert Statisticians: Our team consists of highly qualified statisticians from top-tier universities, bringing years of experience to every analysis. Whether your study involves basic descriptive statistics or advanced methods like regression or SEM, we have the expertise to deliver precise, tailored results that are fully aligned with your research objectives.
- Comprehensive Support: We don’t just deliver data; we ensure you fully understand your results. From interpreting complex statistical outputs to linking them back to your research questions, we provide the guidance you need to confidently present and defend your findings.
Our team is available 7 days a week to ensure your success. Call us today (646) 553-4730 for a free consultation and take your analysis to the next level. With our expert guidance, you can defend your dissertation with confidence and clarity.
Kickstart Your Quantitative Analysis Today
Reach out to us now or fill out our form for a complimentary consultation on your quantitative analysis and results chapter. We’re here to help you succeed—let’s get started!
Explore Our Full Dissertation Consulting Services
Beyond quantitative analysis, we offer comprehensive support for all aspects of your dissertation. Whether you need help with your introduction, literature review, qualitative methodologies, IRB submission, edits, defense preparation, or more, our team is ready to guide you through every stage of your research. Explore our full range of services to ensure that each chapter meets the highest academic standards and receives full approval.
Let’s make sure your entire dissertation is set for success!
Let’s keep it a secret…
Before sharing your materials with us, we will send you our Non-Disclosure Agreement, which guarantees that your work materials, and even your identity as a client, will never be shared with a third party.In earlier tutorials, we talked about quantitative and qualitative research studies, and those discussions were pretty well focused on what to do after you’ve decided to take on a qualitative or quantitative approach. What if you haven’t decided yet? How do you decide?
This is a really common reason that we are called upon to provide consulting for dissertation research, so to help clarify factors involved in this decision, I’ll explain in this video how you might use your research gap to pick an approach. Then we’ll spend a lot more time talking about situations where you decide that maybe doing both would be ideal — that’s called a mixed methods study, and as you might think, they’re wonderfully comprehensive.
Let’s consider an example of a research gap that we might approach from either a quantitative or qualitative analysis angle. For example, let’s say that the research literature is unclear on how moral reasoning relates to bullying in the workplace.
Because there are lessons to be learned from examining the statistical relationships between moral reasoning levels and perpetration of bullying in the workplace, and also from exploring workers’ perceptions of how different levels of moral reasoning seem to tie in with bullying behaviors they have experienced at work, we could easily take this study in a quantitative or qualitative direction.
This is the type of research gap that might leave you wondering, should I do qualitative, quantitative…or maybe mixed methods?
There are advantages to each type of approach, which can make it difficult to decide. It will definitely help to plan your dissertation approach mindfully at this point by thinking through this question more deeply, so let’s first talk about each quantitative and qualitative research studies.
Each has very specific advantages and disadvantages, and each “approaches” research differently (hence the term “approaches”!).
The first way in which they’re different is where they place focus. As discussed in the qualitative methods video, for qualitative research studies, they’re largely concerned with phenomena, such as the implementation of an anti-bullying program or therapy for first responders experiencing secondary trauma.
These are things that people might participate in or experience, and their perspectives and interpretations of these experiences. Of course, it’s possible for these to be part of quantitative studies, but they look different.
Specifically, these become quantitative when they themselves or something related to them are measured numerically or in objective terms — such as the period before implementation of the anti-bullying program and the period after implementation (where you have two possibilities — before and after) — and then subjected to statistical analysis. For secondary trauma, it might be burnout among therapists doing this work, or perhaps it’s PTSD symptomology in the first responders receiving a therapeutic intervention. All of these can be measured numerically and, in some cases, with survey instruments that have already been developed. In this way, they’re variables. In providing dissertation help to hundreds of clients, we’ve seen a number of instruments! You might be surprised about the constructs and contexts addressed by these research tools.
Because qualitative and quantitative studies are focused differently, they also proceed differently — they engage in analysis in opposite directions, actually. Let’s stick to our quantitative examples for just a moment — because they start with a sense of those variables (and clearly defined — what’s called “operationalized”), they’re usually deductive in nature. That is, they start with the conclusions — things they they hypothesize are true — and then move to determine if those hypotheses can be confirmed with statistical analysis.
So in a dissertation, they might test whether the implementation of an anti-bullying program helped to reduce referral rates or reduced levels of reported victimization among students. They could test whether a specific therapeutic intervention (perhaps as compared with another) reduced PTSD symptomology for first responders.
Qualitative research, on the other hand, has no idea what’s there, at least it has no idea before it starts. In contrast to quantitative studies, qualitative ones are looking simply for what is there. They don’t know anything about the implementation of the anti-bullying program, but they may want to know how it went for teachers — how fully they felt it was implemented, what challenges accompanied that implementation, and how students responded. In this way, qualitative research moves inductively, starting with the phenomenon itself as expressed through data (interviews, focus groups, observations, and others) and moving to those general conclusions only as a result of the investigation, not in advance.
In terms of qualitative analysis, looking for what is there can be difficult, and that’s definitely the case when you consider the complexity of multi-step qualitative analysis protocols. We’re one of only a few, if not the only, companies that provide comprehensive assistance with all of qualitative methodology and analysis.
It’s hard to find qualitative data to analyze that is just “there” in the same way that you can for a quantitative study in certain fields. Primary data collection is a concern, then, and you’ll see above that qualitative studies often engage much more generally with people’s perceptions and experiences. It can do this in a couple of different ways, but the end result in either case is that it uses much more specific data collection methods than do quantitative studies. Interviews, questionnaires, focus groups, observations, and document analysis are especially common forms, as they all help to better understand people’s thoughts and experiences.
Because quantitative studies move deductively and with pre-defined constructs or variables, they often require instruments that validly and reliably measure those variables. This provides its own challenges, and talking with a statistician or consultant to walk through these statistical concerns can be helpful.
That’s because, even though it sounds as though decisions make themselves here, it’s often that your committee members have very specific ideas of their own. Because of our consulting experience with so many universities, especially the major online ones, we can help you work within those expectations that are part of the dissertation process at each school, providing assistance to point the way forward through your quantitative research.
Okay, so now for mixed methods. What if you alight on a focus for your study, and it seems like neither option is really complete as it is? Perhaps you’d like to know what people think about a particular issue, but you’d like to fully understand the nature of that issue first. Or maybe you’d like to figure out some of the problems or benefits that are part of a phenomenon and then test those specific elements more rigorously.
This is where a mixed methods study can be ideal, and it’s often an appropriate choice for an investigation in that it provides a more robust set of conclusions than would be possible with just one design on its own.
That’s because it can focus on both variables and phenomena, move both deductively and inductively, and then with both interviews (for instance) and survey instruments.
Now, a mixed methods study won’t always be the answer — and they can be a lot of work! — but in situations where there are benefits to both qualitative and quantitative studies, mixed methods can help you take advantage of all of those benefits in your research. In these cases, the qualitative and quantitative parts of your dissertation help together to answer your research questions.
If you’re thinking about setting up a mixed methods study, but you’re not really sure how to go about doing this or even if it’s a good idea for your dissertation, we can help you make this decision wisely by thinking through all of the pros and cons of using this approach. We can assist you in a variety of ways to plan out this very complex form of research, and we also know how challenging it can be to gain approval for mixed methods studies with your committee.
These types of studies are so complicated that you can expect to put in loads of effort to achieve approval, and that’s where I think you’ll see how valuable and helpful our unlimited revisions are! You can count on us to stick with you as you work toward approval of your proposal based on a mixed methods design, and we can also help with your dissertation when it comes for analysis — but, more on that later.
Within mixed methods, there are two central designs that determine how the qualitative and quantitative “arms” of the study fit together.
Parallel convergent, and explanatory sequential.
Parallel convergent studies are those where you collect your qualitative and quantitative data independently and at the same time in your study. Consider the example of the therapeutic intervention for the treatment of PTSD symptoms in first responders. Perhaps you want to examine the treatment outcomes of a particular therapeutic modality using a PTSD symptom survey and also through in-depth interviews with first responders experiencing these symptoms.
In a parallel convergent mixed methods study, you would obtain permission for use of the survey instrument and also develop an interview guide about treatment experiences at the outset of your study. Then, your participants would complete the surveys before and after treatment, and participate in interviews following treatment. You would then analyze the quantitative and qualitative data separately, but then compare the results of these analyses as a final stage of analysis to examine how the different sets of findings complement, explain, or contradict what was found in the other form of data.
The explanatory sequential mixed methods approach, however, sequences your quantitative and qualitative data collection in such a way that allows one phase of data collection to inform the next.
This can either place the qualitative or quantitative phase of the study first, depending upon your overall aims. Indeed, in our work as dissertation consultants, we’ve seen quite similar studies conducted each way. Let’s consider the above example again. If you were interested in developing a new PTSD instrument that was specifically designed for first responders, you would like begin with a qualitative analysis phase in which your interviews with first responders sensitized you to issues that might be used to develop survey items for PTSD symptoms that are more relevant to this group of individuals. This qualitative data collection would then feed into the quantitative phase, in which you conduct statistical analysis to validate the new survey instrument.
On the other hand, you might approach such a study from a quantitative stance first, by evaluating first responders’ responsiveness to a specific therapeutic treatment modality. Then, if you were using an explanatory sequential approach, you might identify those rare participants who were nonresponsive to the therapy, and then develop an interview protocol to further exploration into the possible reasons for their poorer outcomes.
As you can see, the outcomes of the first phase in a sequential approach directly influence data collection in the next phase, which sets these studies apart from those with convergent designs.
Now, let’s back up a little and talk about the first research gap I discussed in this video — check out our video on topic development for more on finding a research gap — and see how we might move from here. It would be really nice to explore managers’ and employees’ experiences with bullying in the workplace to discover how they interpret these as relating to moral reasoning, and it would also be really nice to conduct a correlational study for your dissertation to help investigate how different scores on a moral reasoning instrument relate to perpetuation of bullying. So in this way, a mixed methods approach might actually be perfect!
As you can see, the interviews with people about their thoughts and interpretations might be helpful in explaining or illuminating any statistical relationships we see between moral reasoning and bullying.
We’ll just need to select a design based on how we plan to get the most from the two “arms” of our study. In this case, we would need to decide if collecting both forms of data would be doable in one shot, or if it would be important to have participants complete one form such as the surveys first, and then decide on a direction for your qualitative interviews. Again, it’s often that, for your dissertation, both are possible. It helps to always think here with your end goals in mind.
One thing I should mention here is that, while you have ideas about what would be ideal, chairs and methodologists on your committee often do, too. With our huge amount of experience with the major online universities, we can definitely help to navigate their tough standards for setting up a mixed methods dissertation or thesis.
And, I’ll also note that with dissertation research, you might consider the potential IRB challenges of sequential explanatory design, as these involve proposing two rounds of data collection, with the subsequent round being dependent on the outcomes of the first one — see our IRB video for more information on this!
If this is your design of choice, however, we can certainly help you to put this together and will stick with you to ensure it is approved all the way through final dissertation editing. Because of this commitment, revisions are the name of the game. When we help with our projects, we include revisions at no additional charge, straight to approval!
For many other studies, though, a parallel convergent mixed methods design would be better, and that might be the case for your study.
We’d love to talk about your dissertation with you, and please know that you can call or email anytime for help here. We can help you sort through the many decisions — first if a mixed methods approach might be best, and then what design would be ideal for your study.
As I’m sure you can see at this point, conducting a mixed methods study can be very rewarding — and, it can provide you with a wealth of data that will support multiple research article submissions once you graduate. But, it is truly like conducting two studies in one, and it can be a time consuming and extremely challenging process.
With our solid grounding in all things quantitative, as well as our specialization in qualitative research, we can most certainly assist in development of a mixed methods study that will be sure to impress, and that you can really be proud to call your own!
Thanks so much!