Cite This        Tampung        Export Record
Judul Handbook of Multilevel Analysis
Pengarang Edited by Jan de Leeuw and Erik Meijer
Penerbitan Netherlands Cambridge University Press 2008
Deskripsi Fisik xiii, 493p.: illus,;24cm.
ISBN 9780387731834
Subjek Multilevel Analysis
Abstrak This book presents the state of the art in multilevel analysi, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, it is useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not reguired, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed.
Catatan Indeks : 479-493
Bahasa Inggris
Bentuk Karya Tidak ada kode yang sesuai
Target Pembaca Tidak ada kode yang sesuai

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
00000009965 515/MEI/H Dapat dipinjam Perpustakaan Lantai 3 - Mahkamah Konstitusi RI Tersedia
pesan
00000009966 515/MEI/H Dapat dipinjam Perpustakaan Lantai 3 - Mahkamah Konstitusi RI Tersedia
pesan
Tag Ind1 Ind2 Isi
001 INLIS000000000002697
005 20200508201954
008 200508||||||||| | ||| |||| ||eng||
020 $a 9780387731834
035 0010-0520002697
041 $a eng
082 0 $a 515
084 $a 515/MEI/H
100 0 $a Edited by Jan de Leeuw and Erik Meijer
245 0 0 $a Handbook of Multilevel Analysis
260 $a Netherlands $b Cambridge University Press $c 2008
300 $a xiii, 493p.$b : illus,;$c 24cm.
500 $a Indeks : 479-493
520 $a This book presents the state of the art in multilevel analysi, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, it is useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not reguired, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed.
650 0 $a Multilevel Analysis
Content Unduh katalog