Automatic statistical analysis
SenseLabOnline has implemented automatic statistical analysis procedures. Any time during a test you can get an instant and full statistical analysis of the preliminary results.
The automatic routines check data quality and basic assumptions before proceeding to plotting of the results.
Basic analysis methods like 2-way Analysis of Variance (ANOVA), showing mean values with confidence intervals, plotting of interaction between experimental variables (etc.) are always included.
For more advanced test types e.g. tests with multiple test questions/attributes, you will get a complete overview of the results using multivariate data analysis methods such as Principal Component Analysis (PCA), and Hierarchical Multiple Factorial Analysis (HMFA).
Current available statistical modules include:
Analysis of Variance (ANOVA)
Mean scores with confidence intervals
Assessor performance (eGauge)
Hierarchical multiple factorial analysis (HMFA)
Multi Dimensional Scaling (MDS)
Factorial Analysis on Distance Tables (FADT)
Check-All-That-Apply (CATA) analysis
You will receive the results as jpg files, and have access to raw data file for all your experiments.