Advanced Analysis
Data Statistical
Empower users of all skill levels, from beginners to expert analysts, to derive meaningful insights from data without the need for technical SPSS or Excel training. The analysis module supports advanced models and techniques, including pivot tables, MaxDiff, PSM, ANOVA, T-tests, and more, enabling comprehensive data exploration and the development of predictive models.
Disgnose your survey results into clear, compelling insight.
Choiceform Survey provides comprehensive analytic tools that help analysts to explore and visualize customer data from different dimensions. You can also add data from other business systems to cross check and integrate findings. Analysts can use built-in reports or create custom reports with the most advanced analysis models, then produce dashboard that illustrate relevant insights that are important and make business sense.
Statistical analysis methods
Regression analysis
Regression is one of the most common statistical technique used to understand corelation between two (or more) variables.
T-test
The T-test is a significant testing tool between two data groups with different mean values. The T-test allows the user to interpret whether differences are real or not.
Cluster analysis
Cluster analysis is a way of processing datasets by identifying how similar data sets are. You can identify whether there are similar groups (clusters) amongst a large database, or if the data is evenly spread out.
ANOVA
Like the T-test, ANOVA (analysis of variance) is a way of testing the differences between groups to see if they’re statistically significant. The difference is it allows you to compare three or more groups rather than just two.
Factor analysis
Factor analysis is a way to reduce the complexity of your research findings by reclassifying a large number of initial variables to few more meaningful variables. You can uncover “hidden” factors that explain variance (difference from the average) in your data.
Conjoint analysis
Researchers like to understand and explain how people make the complex choices. Conjoint analysis simulate this: it asks people to make trade-offs with test choices similar to the real world, followed by modeling to get insightful results based on people's choices.
MaxDiff analysis
MaxDiff is ideal to rank importance of multiple items such as brands, product features, ad claims, side effects, etc. MaxDiff is also known as "best-worst scaling".
Price Sensitivity Measurement (PSM)
PSM is a research method that allows you to determine the most optimum consumer price range based on the perceived value of the product. It is can be used in the development of a new product or perception of price for existing product.
Export Capabilities for Seamless Data Sharing
Effortlessly export charts and data as embedded Excel charts, facilitating easy sharing and further analysis. This feature ensures that your insights are accessible and actionable, enhancing collaboration and decision-making processes.
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