e-journal

Conducting Three-Level Cross-Sectional Analyses

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Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1
errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few articles are available to researchers seeking assistance with three-level data analyses. The purpose
of this article is to extend the presentational logic and pedagogical flow employed in previous two-level pedagogical publications to illustrate the relevant issues researchers face, the decisions to be made, and the proper
procedures needed, when analyzing cross-sectional three-level data. These procedures are demonstrated with a generated three-level data example based on the Early Childhood Longitudinal Study (ECLS-K) public use dataset. The generated data used in this article, as well as the SPSS, SAS, and Mplus model specification syntax files needed to reproduce all analyses in this article, and additional illustrative examples, are available as supplemental online materials at http://jea.sagepub.com/content/early/recent.

Keywords
multilevel modeling, three-level modeling, cross-sectional, HLM, SAS, SPSS, Mplus

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Ketersediaan

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Informasi Detail

Judul Seri

Journal of Early Adolescence 2014

No. Panggil

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Penerbit

U.S.A : SAGE., 2013

Deskripsi Fisik

Journal of Early Adolescence 2014

Bahasa

English

ISBN/ISSN

DOI: 10.1177/0272431

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Vol 34(1) 7– 37

Subjek

PSIKOLOGI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia/Agus

Versi lain/terkait

Lampiran Berkas

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