For graduate students, we provide dissertation assistance for your proposal. Our dissertation help includes data analysis with specific statistical tutoring for the methods used to answer the hypothesis. Other dissertation services include dissertation editing and data file creation. We only do original research. We cannot help you with in-class textbook assignments.
We prefer to be involved at the research design phase in order to be able to assist you in the development of an adequate sampling strategy and methods section. After the proposal is accepted, we can set up the data file for you. You can either enter the data yourself or we can do it for you. Next, we can run the analysis and provide you with output that explains the results as they relate to each of your hypotheses. After the analysis, we can also be hired to provide editing services for the "Results" section.
Have you ever had a professor demand that you use a specific kind of data analysis for your dissertation and you come to find out that the professor is not really sure how to interpret the results (about half of the students reading this found that amusing)? Most faculty members are experts in a specific area (biology, psychology, marketing, education, etc.) but that does not mean they are expert statisticians. This is not meant to be disrespectful, the faculty cannot be an expert in everything. We are statisticians. We are trained in a wide range of statistical methods and can suggest a research design and data analysis to answer your specific research questions.
Be advised that most committees suggest additional analyses after the initial research questions have been answered. This is the norm, it does not mean that you have done something wrong. We know. We have worked on many, many dissertations.
Be advised that you need to be able to communicate effectively with us to use this service. You need to be able to express your thoughts and intentions as concisely as possible. If you suspect that this is a problem, you need to deal with that first.
*A SHORT NOTE ABOUT RESEARCH*
The dissertation process involves generating a relatively small batch of
hypotheses from sound theory, choosing a statistical method to answer those
hypotheses, gathering data, and concluding if the hypotheses were supported or
not supported by the data. This is what you should be learning. This is kind of
simplistic, but you get the idea.
You should not be taught/allowed to gather data, run statistical analyses, and attempt to wrap a theory around the results. This is NOT sound research. The reason for this is complex, but the basic idea is that "significant" results obtained in the absence of a decent theory are unlikely to generalize to other samples. The computer does not do the thinking for you.
Keep in mind that statistical methods cannot
overcome bad data and poor research design. We are not responsible for research
done that way, but we know how to avoid it.
*END OF THE SHORT NOTE ABOUT RESEARCH*
Free advice every graduate student should know:
1) Always communicate with your committee. When we suggest a method of data analysis to answer your hypotheses, always discuss the plan with your committee. Remember, you have to impress your committee (especially your chair), not us. All students should get their committee's approval before we do any data analysis.
2) Check your ego at the door. If failing to communicate is the most common reason for student failure, this is a close second. Our service cannot overcome inflated egos.
3) Your committee is always right. Even when they are wrong, they are right. Even if you disagree and have long list of reasons why they are wrong, they are right.
4) Stick to the analyses in the proposal. Do not drop last minute changes on your committee and expect them to accept it. Do not show up at your defense with results from a statistical method that was not mentioned in your proposal. If you do, you are on your own.
If your proposal called for 100 subjects, you need to get 100 subjects. "But I only got 25 subjects! Can't you use some statistic that works with only 25?" No. Get more data. This is not your committee's problem, it is not our problem, it is your problem.
5) Stay focused. If your committee accepts your proposal with a multiple regression analysis and a one-way ANOVA, do it. Do not expand the data analysis into areas that are marginally related to your hypotheses. We have found that this is usually a sign of procrastination and/or anxiety rather than divine inspiration.
Monday's email: "I see there is no difference between the sexes on variable Y. What about sex differences for each ethnic group?" Tuesday's email: "There were no sex differences by ethnicity. What about sex differences by religion on variable Y?" Wednesday's email (panicked): "Something must be wrong....eye color...got to be eye color...there must be sex differences for eye color on variable Y."
This is a waste of our time and a waste of your time. This person did not plan well and is probably overcome by anxiety. Researchers are not obligated to run every conceivable analysis on every combination of variables in a data file. That shows a lack of planning and focus. If you communicate with your committee and accept constructive criticism we can help you get through this very difficult process.
*Fair Warning*
Our service is not a substitute for graduate level courses in statistics. If
your goal is to find a firm to design your research and write chapters 3 and 4
because you choose not to pay attention in statistics class, look somewhere
else. Eventually, you will have to defend your dissertation or thesis, so you
had better know what you are talking about. Our goal is to help you achieve a
professional level of competency.
Be sure to check the following link to see an example of the output we produce. Select the following link for information about fees and typical costs.
