A step-by-step approach to using the SAS system for factor analysis and structural equation modeling
Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all users even those whose training in statistics is limited or who have never used SAS. It gently guides users...
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| Tác giả chính: | |
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| Định dạng: | Sách |
| Ngôn ngữ: | Undetermined |
| Được phát hành: |
Cary, North Carolina
SAS Institute
1994
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| Những chủ đề: | |
| Các nhãn: |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| LEADER | 01620nam a2200193Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_231420 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 082 | |a 519.5 | ||
| 082 | |b H361 | ||
| 100 | |a Hatcher, Larry | ||
| 245 | 2 | |a A step-by-step approach to using the SAS system for factor analysis and structural equation modeling | |
| 245 | 0 | |c Larry Hatcher | |
| 260 | |a Cary, North Carolina | ||
| 260 | |b SAS Institute | ||
| 260 | |c 1994 | ||
| 520 | |a Structural equation modeling (SEM) has become one of the most important statistical procedures in the social and behavioral sciences. This easy-to-understand guide makes SEM accessible to all users even those whose training in statistics is limited or who have never used SAS. It gently guides users through the basics of using SAS and shows how to perform some of the most sophisticated data-analysis procedures used by researchers: exploratory factor analysis, path analysis, confirmatory factor analysis, and structural equation modeling. It shows how to perform analyses with user-friendly PROC CALIS, and offers solutions for problems often encountered in real-world research. This second edition contains new material on sample-size estimation for path analysis and structural equation modeling. In a single user-friendly volume, students and researchers will find all the information they need in order to master SAS basics before moving on to factor analysis, path analysis, and other advanced statistical procedures. | ||
| 650 | |a Phân tích nhân tố,Factor analysis | ||
| 910 | |b vtbtruc | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||