Quantitative Data Analysis

Quantitative data are numerical data or contain data that could be quantified to address your research aims and objectives. Analysis of numerical data from descriptive statistics, hypothesis tests or more complex modelling are the services of our quantitative data analysis

DRS Research has experienced researcher experts to assist you with all quantitative data analysis. With DRS Research, we aimed to help you with numerical based quantitative analysis, present tables, charts and establish statistical relationships between variables.

We will help you with

Simply let us know your aims and objectives and have your data ready for our experts, we can help you with:

Prepare, input and check data reliability
Coding data (quantifiable, categorical, missing)
Entering data into computer system
Explore and present data
Describe data using statistics
Examine relationships, differences and trends

Our experts require collected raw data for all analysis. If you haven’t start data collection, we have a dedicated team to help you with that, to find out more, please click here for Data collection Service.

Approaches to quantitative data analysis

Our research experts approach data analysis from various quantitative perspective:

Capability analysis – binomial, poisson capabilities; capability, binomial, poisson comparisons
Graphical analysis – histogram, boxplot, individual value plot, Pareto chart, bar/pie chart, time series plot, scatter-plot, multi-vari chart
Hypothesis tests – 1,2 sample t-test, 1,2 sample standard divination, 1,2 sample % defective, chi-square (goodness-of-fit), chi-square (test for association), ANOVA
Regression analysis
Linear modelling