Elibrary Perpustakaan Universitas Riau

Ebook, artikel jurnal dan artikel ilmiah

  • Beranda
  • Informasi
  • Berita
  • Bantuan
  • Pustakawan
  • Area Anggota
  • Pilih Bahasa :
    Bahasa Arab Bahasa Bengal Bahasa Brazil Portugis Bahasa Inggris Bahasa Spanyol Bahasa Jerman Bahasa Indonesia Bahasa Jepang Bahasa Melayu Bahasa Persia Bahasa Rusia Bahasa Thailand Bahasa Turki Bahasa Urdu

Pencarian berdasarkan :

SEMUA Pengarang Subjek ISBN/ISSN Pencarian Spesifik

Pencarian terakhir:

{{tmpObj[k].text}}
No image available for this title
Penanda Bagikan

e-journal

COMPARING SPATIAL AND MULTILEVEL REGRESSION MODELS FOR BINARY OUTCOMES IN NEIGHBORHOOD STUDIES

Hongwei Xu - Nama Orang;

The standard multilevel regressions that are widely used in neighborhood research typically ignore potential between-neighborhood correlations due to underlying spatial processes, and hence they produce inappropriate inferences about neighborhood effects. In contrast, spatial models make estimations and predictions across
areas by explicitly modeling the spatial correlations among observations in different locations. A better understanding of the strengths and limitations of spatial models as compared with the standard multilevel model is needed to improve the research on neighborhood and spatial effects. This research systematically compares model estimations and predictions for binary outcomes between (distance- and latticebased) spatial and the standard multilevel models in the presence of both withinand between-neighborhood correlations, through simulations. Results from simulation analysis reveal that the standard multilevel and spatial models produce similar estimates of fixed effects but different estimates of random effects variances. Both
the standard multilevel and pure spatial models tend to overestimate the corresponding random effects variances compared with hybrid models when both nonspatial within-neighborhood and spatial between-neighborhood effects exist. Spatial models also outperform the standard multilevel model by a narrow margin in case of fully out-of-sample predictions. Distance-based spatial models provide additional spatial information and have stronger predictive power than lattice-based models under certain circumstances. These merits of spatial modeling are exhibited in an empirical analysis of the child mortality data from 1880 Newark, New Jersey.


Ketersediaan

Tidak ada salinan data

Informasi Detail
Judul Seri
Sociological Methodology
No. Panggil
-
Penerbit
USA : American Sociological Association., 2014
Deskripsi Fisik
Sociological Methodology 2014, Vol. 44(1) 229–272
Bahasa
English
ISBN/ISSN
DOI: 10.1177/0081175
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
2014, Vol. 44(1) 229–272
Subjek
sociology
Info Detail Spesifik
-
Pernyataan Tanggungjawab
dody/Agus
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • COMPARING SPATIAL AND MULTILEVEL REGRESSION MODELS FOR BINARY OUTCOMES IN NEIGHBORHOOD STUDIES
Komentar

Anda harus masuk sebelum memberikan komentar

Elibrary Perpustakaan Universitas Riau
  • Informasi
  • Layanan
  • Pustakawan
  • Area Anggota

Tentang Kami

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Cari

masukkan satu atau lebih kata kunci dari judul, pengarang, atau subjek

Donasi untuk SLiMS Kontribusi untuk SLiMS?

© 2025 — Senayan Developer Community

Ditenagai oleh SLiMS
Pilih subjek yang menarik bagi Anda
  • Karya Umum
  • Filsafat
  • Agama
  • Ilmu-ilmu Sosial
  • Bahasa
  • Ilmu-ilmu Murni
  • Ilmu-ilmu Terapan
  • Kesenian, Hiburan, dan Olahraga
  • Kesusastraan
  • Geografi dan Sejarah
Icons made by Freepik from www.flaticon.com
Pencarian Spesifik
Kemana ingin Anda bagikan?