Multilevel Modeling With Stat-JR SAAs: A Software Review | Zendy

MinJung Kim | Zendy; HsienYuan Hsu | Zendy

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Multilevel Modeling With Stat-JR SAAs: A Software Review

Author(s) -

MinJung Kim,

HsienYuan Hsu

Publication year - 2018

Publication title -

journal of educational and behavioral statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.066

H-Index - 59

eISSN - 1935-1054

pISSN - 1076-9986

DOI - 10.3102/1076998618811383

Subject(s) - software as a service , multilevel model , computer science , software , software engineering , machine learning , software development , operating system

Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5), with regard to their use for MLM. In this article, we review the features of Stat-JR’s SAAs and illustrate how to implement SAAs, using one of the Stat-JR interfaces to analyze multilevel models for the 1982 High School and Beyond data set. Results from Stat-JR SAA are compared with the results using HLM7.01 software. We also discuss recommendations and implications for future users of SAAs.

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