Put simply:

Fixed effect: modelling the mean associated with a predictor; on its own, just standard regression analysis.

Random effect: modelling the variance associated with a predictor

Mixed model or multilevel model: modelling both fixed and random parts simultaneously

This site will show you want can be done

http://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html

especially

http://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html#mlmbkgrd

and these papers consider the choices between fixed and random models; the use of fixed here is equivalent to putting in a dummy for each and every higher-level unit (such as pupils lower unit in school , higher unit) as compared to treating differences between schools as coming from a distribution; random meaning allowed to vary (differ) according to a distribution. These differences summarized by a variance.

Article Explaining Fixed Effects: Random Effects Modeling of Time-Se...

Article Fixed and Random effects models: making an informed choice

Article Understanding and misunderstanding Group mean centering: a c...

Hi Mohd,

1) Check the glossary in this article (if you feel comfortable about statistics already)

Article Generalized Linear Mixed Models: A Practical Guide for Ecolo...

if you ask for an easy-to-read intro; you could try:

Singmann & Kellen (2017) An introduction to mixed models for experimental psychology.

2) Check this article:

http://jakewestfall.org/publications/JWK.pdf

3) always :)

Cheers,

René

Put simply:

Fixed effect: modelling the mean associated with a predictor; on its own, just standard regression analysis.

Random effect: modelling the variance associated with a predictor

Mixed model or multilevel model: modelling both fixed and random parts simultaneously

This site will show you want can be done

http://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html

especially

http://www.bristol.ac.uk/cmm/software/mlwin/mlwin-resources.html#mlmbkgrd

and these papers consider the choices between fixed and random models; the use of fixed here is equivalent to putting in a dummy for each and every higher-level unit (such as pupils lower unit in school , higher unit) as compared to treating differences between schools as coming from a distribution; random meaning allowed to vary (differ) according to a distribution. These differences summarized by a variance.

Article Explaining Fixed Effects: Random Effects Modeling of Time-Se...

Article Fixed and Random effects models: making an informed choice

Article Understanding and misunderstanding Group mean centering: a c...

Dear René Schlegelmilch and Kelvyn Jones

Thank you for your valuable inputs.

I am currently reading the material and will absolutely get back here for further clarification if necessary.

Thanks!

Regards,

Fadhli