Our Benchmarks

  • Precise always accurate analysis
  • Professional expert statistical solutions
  • Custom only customized approach
  • Affordable low prices&special discounts

We Guarantee

Coding Quantitative Data in Research Analysis

Coding quantitative data as well as coding variables can be difficult because of all the different problems that are associated with it, but it’s a great way to transfer a study over to a computer program. Those who are locked into using a certain multiple choice format will want to code each of the possible responses. Unfortunately, doing this will provide researchers with relatively little flexibility. While it requires respondents to give a definitive answer, this doesn’t necessarily mean much.

statistical data analysis schema

Working with Quantitative Codes

A little paper coding exercise might be pretty useful. Consider a question that’s very basic. For instance, “How do you feel about the tax policies of Governor Micha?” The responses code be formatted as follows:

  1. Strongly Disagree
  2. Disagree
  3. Unsure
  4. Agree
  5. Strongly Agree

Assume that a respondent answered 2 on the sheet, which means they disagree with his policies, and this is then added to an SPSS code frame. It raises some questions over how the value can be interpreted:

  • Did the respondent understand the question?
  • Did the respondent understand that selecting 2 meant that they disagreed?
  • Does the respondent have any ideas about alternatives to the original tax policy?
  • Did the respondent read carefully enough?
  • Did the respondent actually care?
  • In the respondent’s mind is there an even difference between all of the numbers?

This unfortunately creates a number of judgment calls that basic qualitative and quantitative data analysis can’t answer. It might still be useful to look at the difference between the two, now that the shortcomings are laid out and mostly understood.

Quantitative research analysis deals with the numbers, and looks at numeric values that can always be measured. Qualitative analysis methods instead use information that can be observed, but not necessarily measured. Once a student better understands what kinds of judgment calls are used in this kind of statistical data analysis, it will be much easier to put together quality codes. Bias isn’t something that can be avoided, but it can be minimized to a point where each study at least means something even if there are still major questions about what kinds of things were being asked to the collective respondents.

Putting Together a Study

coding quantitative data

Those who want to go about coding quantitative data should make sure that they assign an even numeric value to everything. While each individual question will change, the numeric values shouldn’t. Those who want to use that agree/disagree pattern illustrated in the previous example wouldn’t want to change it between any of the various questions. It would make more sense to use it when talking about every class of question inside of an individual quantitative research analysis project. Keep this in mind when putting together large surveys that will be issued to a massive sample size.

Get help with your qualitative and quantitative data analysis today!