Quantitative Insights
Quantitative research produces large sets of numeric data for accurate and repeatable analysis. It is crucial to convert data into great insights, to interpret data in a more meaningful matter, and to apply the analysis results into practice. Our quantitative insights services support you to take what the data shows and determine how to use the results for effective change.
Results Presentation
What is it? Results presentation, which often includes dissemination, is all about delivering important data results to the public so that they can step towards change. Information should be conveyed in an easy and understandable manner. The presentation of results can include written reports, tables, and graphs. The purpose of the presentation, level of audience, statistical analysis methods, and the complexity of the content should always be considered when identifying what format should be used. One of the most common ways to reach a wide audience is through publishing clear, logical, and concise results in a journal (manuscript publication).
Elite Research consultants use a variety of software, such as HTML, JAVASCRIPT, Tableau, and CSS, to create visual outputs. If you are unsure about the most appropriate format for your intended purpose or are unsure how to present your results, let us help you.
How can we help you?
- Write methods and results in the manuscript
- Preparing for manuscript backbone following journal guidance
- Create static and dynamic data visualization
- Create tables and figure for date representation
- Review manuscript draft and provide comments
- Editing
- Design posters and power point presentations
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Read MoreFAQ About Results Representation
Existing reviews and studies give access to best practices, market research information and infrastructure developments with limited cost in resources and time. It is incredibly valuable to understand which reviews/studies will be profitable and applicable to portions of your operations.
Combining offline and online data collection is normally straightforward provided that the collection mechanisms are compatible. Data is often collected in a CSV or other standard formatting procedure that can be exported to Excel or another software packaging system that can be cleaned and analyzed.
Certain patterns in responses warrant cases to be removed to protect the integrity of data. Cases should be flagged where respondents answer too quickly or slowly. Additionally, responses may need to be removed from participants who drop off after certain points, answer with limited to no variance or answer antithetical questions inconsistently.
Non-normal data can be analyzed using non-parametric analyses or other analysis that require less strict assumptions. Additionally sometimes it is beneficial to transform non-normal quantitative data into categorical data which can be normally distributed by using ranges of values for categories.
Ideally there is less than 5% missing data, but the importance and impact of missing data depends upon what data is missing, what type of data is collected, the intended analysis and the relationship between variables that are missing large amounts of data.
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