Applications of multilevel modeling in psychological science: Intensive repeated measures designs
John Nezlek , Błażej Mroziński
AbstractMultilevel modeling (MLM) is a statistical technique that can be used to analyze the data collected in various types of research. Although the use of and demand for MLM has increased dramatically over the past decade, instruction in MLM has not kept pace with these increases. The present paper provides an introduction to MLM that is intended to help researchers conduct MLM analyses and describe these results and to help them understand the results of MLM analyses that are presented in articles. Given the limits inherent in a single article, we do not cover all topics in depth. Nevertheless, we provide enough information so that readers should be able to conduct and understand MLM analyses. Examples of different types of analyses of diary style data (sometimes called intensive repeated measures), a design that is being used more and more often, are presented and sample data sets with worked examples are provided as on-line supplemental materials. Recommendations for best practice for conducting analyses and for reporting results are also provided.
|Other language title versions||Applications du modèle multiniveau dans les sciences psychologiques : les plans à mesures répétées intensives|
|Journal series||Annee Psychologique, ISSN 0003-5033, e-ISSN 1955-2580, (N/A 40 pkt)|
|Publication size in sheets||1.65|
|Keywords in English||multilevel modeling, intensive repeated measures, nested data, within-person analyses|
|Publication indicators||: 2018 = 0.641; : 2017 = 0.209 (2) - 2017=0.566 (5)|
|Citation count*||1 (2020-07-07)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.