Multifactor Experiment

From Q
Jump to navigation Jump to search
Related Online Training modules
Tables of Experiment
Types of Experiment
Generally it is best to access online training from within Q by selecting Help > Online Training

A multifactor experiment is an experiment in which two or more factors are manipulated (e.g., price and product quality).

There are two main ways of analyzing multifactor experiments in Q[note 1]:

  1. Using regression (linear, binary logit, ordered logit, multinomial). This is usually the preferred method for very simple experiments that do not involve repeated measures (i.e., experiments where people provide only a single response).
  2. Using the Experiment question type, which permits analysis using Latent Class Analysis and Mixture Models. See Experiments Specifications for a description of how to set up experiments in Q and case studies for more information about the set up and analysis of multifactor experiments.

Notes

Template:Reflist

Further reading: Latent Class Analysis Software
Cite error: <ref> tags exist for a group named "note", but no corresponding <references group="note"/> tag was found