Quantitative Analysis
We live in a data driven society where people are increasingly looking to numbers to describe, explain, and predict phenomena in our businesses, charities, sports, education, personal lives, and more. Quantitative analysis is the most comprehensive way to draw conclusions from direct observation and measurement. Our extensive quantitative analytic services empower you to collect and analyze data to answer your most pressing research needs.
Software
What is it? Software are programs used for querying, relating, collecting, organizing, and analyzing data. Software is also used for results presentation. Statistical software plays a critical role to help you derive meaning from data and make the right decisions for your research and business. Our consultants use a variety of software packages for quantitative analysis services (including SPSS, SAS, R/R studio, Stata, Lisrel, Mplus, AMOS, GraphPad Prism, MedCalc, and HLM). We also help clients transform data into actionable insights visually using Tableau, R/R studio, GraphPad Prism, and ArcGIS. Furthermore, we manipulate and query data in relational databases such as SQL if you need to link multiple related datasets.
Different software can demonstrate the same statistical analysis methods, but they also have their unique functions. The type of software chosen is determined by the type of statistical analysis required, what field you are in, and what specific goals your project needs to achieve. Various types of software that can be used:
- Amos
- ArcGIS
- Excel
- GraphPad Prism
- HLM
- LISREL
- MedCalc
- Mplus
- R/R studio
- Power BI
- Python
- SPSS
- SAS
- XLSTAT
- SQL
- Stata
- Tableau
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Instrument development refers to the development of new measurement scales, while instrument modification or enhancement may refer to improving existing instrument.
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Learn MoreArticles and White Papers About Software
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Read MoreFAQ About Analysis Software
No. You can use pen, markers, pencils, and highlighters on paper, sticky notes, and cut paper to code qualitative data.
Your level of comfort with technology, available time to learn the software, cost, and your computer’s compatibility to use the software will inform which QDAS is best for you.
Yes. Some qualitative researchers prefer to use writing tools and paper for analysis and some use QDAS. If there are more than one collaborater on a project, preference for computer or writing may vary. It is helpful to keep the medium of analysis consistent to save time when merging the coded data.
What Our Clients Say About Us
Peggy Ostrander, DNPc, APRN, FNP-C Plano, Texas