ISBN
| 9780805826777 |
DDC
| 650.072 |
Tác giả CN
| Marcoulides, George A. |
Nhan đề
| Modern methods for business research / George A. Marcoulides |
Thông tin xuất bản
| NJ : Lawrence Erlbaum Mahwah, 1998 |
Mô tả vật lý
| viii, 437 pages : illustrations ; 24 cm. |
Tóm tắt
| This volume introduces the latest popular methods for conducting business research. The goal of each chapter author is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics: measurement, decision analysis, and modeling. The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures,and configural models of longitudinal categorical data |
Từ khóa tự do
| Business |
Từ khóa tự do
| Research |
Từ khóa tự do
| Methodology |
Từ khóa tự do
| Phương pháp nghiên cứu kinh doanh |
Khoa
| Khoa Quản trị Kinh doanh |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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260 | |aNJ : |bLawrence Erlbaum Mahwah, |c1998 |
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300 | |aviii, 437 pages : |billustrations ; |c24 cm. |
---|
520 | |aThis volume introduces the latest popular methods for conducting business research. The goal of each chapter author is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are organized within three general interrelated topics: measurement, decision analysis, and modeling. The chapters on measurement discuss generalizability theory, latent trait and latent class models, and multi-faceted Rasch modeling. The chapters on decision analysis feature applied location theory models, data envelopment analysis, and heuristic search procedures. The chapters on modeling examine exploratory and confirmatory factor analysis, dynamic factor analysis, partial least squares and structural equation modeling, multilevel data analysis, modeling of longitudinal data by latent growth curve methods and structures,and configural models of longitudinal categorical data |
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