Quantitative Dissertation Statistics Help

Statistics is a mathematical science that is used for data analysis, interpretation, explanation, and presentation of the data.  Doctoral candidates require quantitative dissertation statistics help because professional statisticians provide the expertise needed to effectively conduct the research, analyze the data and present the results.  As a student, you are not a mathematical statistician, and hiring a quantitative dissertation consultant allows you to be an expert in your field without learning to be an expert in ours.

Statistics Solutions provides quantitative dissertation consulting that includes help from methodology to presentation of the results.  The professionals at Statistics Solutions can help you with any or all of the following steps:

Research Methodology: Statistics Solutions’ quantitative dissertation help will determine the methodology for the study that you plan to conduct.  For example, what should the sample size for my particular research be?  Which technique should we apply to the data?

Research Design: Professional dissertation consulting will assist you in the research design phase of your research.  The type of research design that you use to test your hypotheses is important for finding reliable and valid results; dissertation statistics help is needed to make this decision and to present justification for it.

Selection of the Variable: Variables are selected on the basis of the predetermined theory that is statistically tested.  Statistical expertise is needed when selecting the variable.

Doctoral and master’s students need to conduct and analyze quantitative data for their dissertations and theses. Most are not statisticians nor have the experience to fluidly use the tools and understand the nuances of statistics (assumptions, interpreting the raw output, etc.). That’s where Statistics Solutions’ professional statisticians come in; we provide the expertise needed to effectively analyze your data, present the results, and thoroughly explain everything to you.  

Statistics Solutions provides quantitative dissertation consulting that includes help from methodology to the presentation of the results. The professionals at Statistics Solutions can help you with any or all of the following steps:

Research Design: Our dissertation consulting will assist you in the research design phase of your research. The type of research design that you use to test your hypotheses or research aim is important for finding reliable and valid results; dissertation statistics help is needed to make these decisions and present their justification.

Test Statistics: Our quantitative dissertation consulting will assist you in determining the test statistics for particular data and research questions. There are a number of statistical tests used for specific reasons and for data with particular levels of measurement. 

Sample Size Calculation and Sample Size Justification: Statistical expertise and help is needed when selecting the sample size. If the sample size is too small (under powered), the statistical test may not detect relationships and differences.  Dissertation statistics help can be used to determine your sample size and to present justification for it.

Validity and Reliability of the Statistics Results: In any research, simply conducting the analysis is not enough.  Statistical expertise is needed to effectively test that the results are both reliable and valid.

Interpretation of the Results: Dissertation consulting is needed to accurately interpret the results of the research and to present these results in the appropriate format.

Explanation of the Results: We pride ourselves in explaining all the output, tables, and figures so you can write your discussion section and defend it.

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Discover How We Assist Conducting Quantitative Results

We bring together statistical expertise, technology, and a teaching attitude to complete your quantitative results chapter that meets your school’s rubric.

Dissertation Resources

Brause, R. S. (2000). Writing your doctoral dissertation: Invisible rules for success. New York: Taylor & Francis Books.

Davis, G. B., & Parker, C. A. (1997). The doctoral dissertation: A systematic approach (2nd ed.). New York: Barron’s Educational Series.

Fitzpatrick, J., Secrist, J., & Wright, D. J. (1998). Secrets for a successful dissertation. Thousand Oaks, CA: Sage Publications.

Glatthorn, A. A., & Joyner, R. L. (2005). Writing the winning thesis or dissertation: A step-by-step guide (2nd ed.). Thousand Oaks, CA: Sage Publications.

Holtom, D., & Fisher, E. (1999). Enjoy writing your science thesis or dissertation! A step by step guide to planning and writing dissertations and theses for undergraduate and graduate science students. London: Imperial College Press.

Luey, B. (2004). Revising your dissertation: Advice from leading editors. Los Angeles: University of California Press.

Piantanida, M., & Garman, N. B. (1999). The qualitative dissertation: A guide for students and faculty. Thousand Oaks, CA: Sage Publications.

Roberts, C. M. (2004). The dissertation journey: A practical and comprehensive guide to planning, writing, and defending your dissertation. Thousand Oaks, CA: Sage Publications.

Rudestam, K. E., & Newton, R. R. (2007). Surviving your dissertation. Thousand Oaks, CA: Sage Publications.

Sternberg, D. (1981). How to complete and survive a doctoral dissertation. New York: St. Martin’s Press.

Swetnam, D. (2004). Writing your dissertation: The bestselling guide to planning, preparing and presenting first-class work (3rd ed.). Oxford, UK: Cromwell Press.

Quantitative Results Chapter

Statistics Solutions provides quantitative results chapter dissertation analysis and consulting that includes confirming the correct analyses, conducting the actual analyses, and the write-up and explanation of the findings.  We have expertise in the following analyses: Bivariate and Multivariate Analyses, Structural Equation Modeling, Path analysis, confirmatory factor analysis, HLM, Cluster Analysis, Survival analysis, Time-series, and other many other analyses.

Typical results chapters include:

  • Conduct descriptive statistics on demographic and research variables (i.e., mean, standard deviation, frequency and percent as appropriate);
  • Conduct analyses and assess assumptions to examine the research questions;
  • Assess the assumptions of the analyses;
  • Draft or co-draft results write-up, which includes documenting assumptions, accurately interpreting findings and clearly stating support or non-support for the hypotheses and provide APA 7th Edition style tables and figures (as appropriate);
  • Provide SPSS syntax and data files.