Measurement modeling
This is the landing page for everything related to the measurement model that quantifies how well the measurement instrument captures your constructs.
Your measurement model represents how the true scores of your construct result in the observations you make with your measurement instrument. Measurement models make explicit what is known about the measurement mechanism, and what is unknown or assumed about it; this is preferably represented in a mathematical way.
If the measurement model can be fitted to your data, it can also be a useful tool, for example to filter out measurement error during analyses, or estimating the reliability of your instrument.
Below we have specified multiple articles where you can read more about modeling your measurements.
Think more about measurement modeling
Available measurement models which may be applicable to your study or may serve as inspiration to build your own measurement model.
- [Reflective and formative measurement models]
- [Means and sum scores versus latent variable models]
- The measurement error autoregressive model
Some design aspects which may influence your measurement model.