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Public program analysis: a new categorical data approach

Forthofer, Ron N. - Nama Orang; Lehnen, Robert G. - Nama Orang;

A multivariate categorical data analysis technique, termed weighted-least-squares (WLS), is applied to program analysis in health and public affairs for public health program (an other public affairs programs) planners. Program analysis encompasses the planning and prediction, assessment, and evaluation of programs. The WLS approach allows practitioners to analyze a wide range of problems, in contrast to conventional program analysis approaches in which different techniques are needed for each new problem type encountered. The WLS approach also produces estimates that are "best asymptotic normal", yielding an optimal approach to obtaining statistical estimates for large samples. Use of the WLS approach requires, at minimum, a knowledge of the analysis of variance (AOV). An introduction to matrices, and the use of matrices and the linear model in AOV situations is included for the statistically-inexperienced reader.

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2020902492-1361.310 724 FOR p C/1Perpustakaan Pusat (Koleksi Tandon)Tersedia namun tidak untuk dipinjamkan - Tersedia (Tidak Dipinjamkan)

Informasi Detail

Judul Seri -
No. Panggil 361.310 724 FOR p
Penerbit California, Lifetime Learning Publications,
Deskripsi Fisik 294 hal. ; bibl.; ind.; 24 cm
Bahasa English
ISBN/ISSN 0-534-97974-2
Klasifikasi 361.310 724
Tipe Isi -
Tipe Media -
Tipe Pembawa -
Edisi -
Info Detail Spesifik Bibliografi: Hal 278-290 ; Indeks: Hal 291
Versi lain/terkait Tidak tersedia versi lain
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