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Our Mission

"To serve graduate students and researchers by producing and delivering expert data analysis and clear sample size justification, comprehensible results, and ongoing support with unsurpassed response time and the most aggressive pricing in the statistical consulting field."

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Data Entry, Cleaning, and Coding

Statistics Solutions recognizes that your time is valuable and better used in achieving your professional goals, that is why our statistical consultants offer data entry, cleaning, and coding services.

The professionals at Statistics Solutions can use the data you submit and use data entry, cleaning and coding techniques to effectively prepare the data for statistical analysis.  We can also upload your data from Survey Monkey, Question Pro, or Zoomerang Excel files into SPSS.

Whether you have five or 2,500 surveys, quantitative or qualitative, our statistical consultants offer the option of having trained, experienced data entry professionals meticulously enter your data quickly and accurately. Data entry, cleaning, and coding professionals minimize costly mistakes and ensures the data is entered correctly for statistical analysis. Your time should be used to analyze the results, not enter the data. Our statistical consulting can make sure your time is used efficiently.

Contact Statistics Solutions today for more information about data entry, cleaning and coding services.

Data Entry, Cleaning and Coding Resources

Auerbach, C. F., & Silverstein, L. B. (2003). Qualitative data: An introduction to coding and analysis. New York: New York University Press.

Barton, C., Hatcher, C., Schurig, K., & Marciano, P. (1991). Managing data entry of a large-scale interview project with optical scanning hardware and software. Behavior Research Methods, Instruments & Computers, 23(2), 214-218.

Cody, R. (1999). Cody’s data cleaning techniques using SAS software. Cary, NC: SAS Institute.

Dasu, T., & Johnson, T. (2003). Exploratory data mining and data cleaning. Hoboken, NJ: John Wiley & Sons.

Dijkers, M. P. J. M., & Creighton, C. L. (1994). Data cleaning in occupational therapy research. Occupational Therapy Journal of Research, 14(3), 144-156.

Edwards, J. A., & Lampert, M. D. (1993). Talking data: Transcription and coding in discourse research. Hillsdale, NJ: Lawrence Erlbaum Associates.

Karmaker, A., & Kwek, S. (2007). An iterative refinement approach for data cleaning. Intelligent Data Analysis, 11(5), 547-560.

Munton, A. G., Silvester, J., Stratton, P., & Hanks, H. (1999). Attributions in action: A practical approach to coding qualitative data. Hoboken, NJ: John Wiley & Sons.

Nemanich, D., & O’Rourke, D. (1975). A manual for the coding of survey data. New York: Kendall-Hunt.

Saravanan, M., Reghu Raj, P. C., & Raman, S. (2003). Summarization and categorization of text data in high-level data cleaning for information retrieval. Applied Artificial Intelligence, 17(5-6), 461-474.

Sorin, M. D. (1982). Data entry without keypunching: improved preparation for social-data analysis. Lexington, MA: Lexington Books.

Tatian, P. A. (1992). Designing a data entry and verification system. Washington, DC: International Food Policy Research Institute.


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