Why choose Market Xcel for Quantitative?

A reputed and experienced market research agency, Market Xcel has tremendous knowledge and experience in providing quantitative data analysis services on a global level. Our veteran experts have been working in the field of data analysis in quantitative research for the past 17 years and are well skilled in their understanding of the market scenario. By helping you determine the most cost effective sample type, size, and primary data collection methods, we ensure that clients receive the best service and support at all times.

Quantitative data is numerical and the results output can be shared using graphs and charts. Quantitative research generates large amounts of data and uses statistics to interpret data. Quantitative methods are ideal for finding out when and where, who and what, and any relationships or patterns between variables. They also allow broad study with large sample sizes, which makes for greater accuracy when extrapolating, and can help to improve the accuracy of the general result. The greater the survey pool of participants, the more general and representative the results will turn out to be. Quantitative Data Analysis allows us to analyze data in a highly objective manner, as quantitative research takes into account very few variables and huge amounts of data. Some sources of quantitative data include existing institutional data, survey methods, numerical data and scoring of rubrics and portfolios. Validity and reliability are highly important while analyzing a quantitative data as it examines the extent to which instrument results permit researchers to draw warranted conclusions about the characteristics of the individuals studied.

Statistical techniques are mostly used in analyzing quantitative data. Before the analysis, the level of measurement associated with quantitative data must be identified. There are four levels of measurement:

  • Nominal
  • Ordinal
  • Interval
  • Ratio (scale)

There are several procedures that can be used to determine what narrative the data is telling. Some moderate and advanced analytical methods are mentioned below:

  • Factor Analysis
  • Canonical Analysis
  • Cluster Analysis
  • Canonical correlation analysis

Further, quantitative field work is a very important aspect of any research as it helps to confirm theories based on personal opinions, observations and can sometimes even provide evidence against misplaced myths, speculations, and presumptions. In order to conduct a good and comprehensive quantitative fieldwork, it is important that the data is collected from a wide range of demographics that includes age, gender, education, race, region, and income. At Market Xcel, we provide clients with a wide range of data collection techniques so that every research project can attain its objectives in a successful manner.

Quantitative Data Analysis Services:

  1. Face-to-face surveys
  2. Global Telephone surveys (CATI)
  3. On-site/ Central location surveys
  4. Exit/Mall Intercept surveys
  5. In-home/ Product placement/testing surveys
  6. Mystery Shopping
  7. Census Surveys
  8. Retail Audits
  9. Web-based/ Online surveys in India (linked to xcel-onlinesurveys.com)
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