Introduction:

Creating a quantitative research report is very much similar to creating any kind of business research report.

Business research is a more broad definition that includes both quantitative and qualitative research.

The basic idea is the same:

There should be:

1. A page Title
2. A Summary
3. Table Of Contents
4. A Segmented Report Consisting Of The Following:
   1. Introduction
   2. Body Of The Report
   3. Analysis/Conclusion
   4. Recommendations
5. Appendices
6. References

For More Information Read This: Basic Guidelines To Help Compile A Business Research Report 

However, apart from the basic workings, there are other factors that you should be aware of and certain procedures that you should take into consideration.

Characteristics pertaining to Quantitative Research:

Quantitative research is nothing but determining the relationship between a dependant variable and an independent variable within a population parameter.

Research is either descriptive or experimental. Descriptive research establishes associations within variables. Research is objective and based on data, logic and numbers.

Read More: Qualitative vs Quantitative Research – Classification & Collection Of Data

Characteristics:

• The researcher starts the research with a focused objective in mind, i.e. the purpose of the project is definite.
• Research is conducted in the form of computer programs or questionnaires, the answers to which are analyzed using highly focused statistical tools.
• A sample size that is representative of the entire population is taken into consideration for determining final results.
• Report includes presentations in the form of numbers, bars, charts, line graphs and the like.
• The Analysis at the end of the report provides a solution based on what the numbers have to say.
• Projects can be used to determine future outcomes, current standing of a business, analyzing your competitor, etc.

Postulates For Compiling A Good Report:

• Firstly, explain the data collected. Explain how it was collected and what problems you faced.
• Explain how you took care of ‘missing data’ and the procedure used by you to clean data feeds.
• Use an acceptable statistical procedure to analyze your data or if you are using inferential statistics, specify the confidence interval, the p-value, degrees of freedom and the test value of each sample size.
• Use tables and figures to represent the data collected.
• Use appropriate descriptions to explain what the numbers means, and what the reader should look for in each table or figure.
• Explain any assumption that you might have made while compiling the data.
• Make your report graphical. Graphical representations in the form of bars and charts are more easily understood and make for better comparison when analyzing data pertaining to two different time frames.

Primary vs Secondary:

Since quantitative reports are all about representation, analysis and description, therefore you should state the method of collection even if you are using data collected from secondary sources.  You should also specify the missing data, and steps taken by you to minimize errors.

As for primary data, it goes without question that the sources, samples and method of collection, all have to be justifiably defined.

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