| LDR | | 01612nam u200397 4500 |
| 001 | | 000000420014 |
| 005 | | 20190215164133 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438196704 |
| 035 | |
▼a (MiAaPQ)AAI10825882 |
| 035 | |
▼a (MiAaPQ)asu:18086 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 151 |
| 100 | 1 |
▼a Gonzalez, Oscar. |
| 245 | 10 |
▼a Psychometric and Machine Learning Approaches to Diagnostic Assessment. |
| 260 | |
▼a [S.l.]:
▼b Arizona State University.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 306 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Advisers: David P. MacKinnon |
| 502 | 1 |
▼a Thesis (Ph.D.)--Arizona State University, 2018. |
| 520 | |
▼a The goal of diagnostic assessment is to discriminate between groups. In many cases, a binary decision is made conditional on a cut score from a continuous scale. Psychometric methods can improve assessment by modeling a latent variable using ite |
| 590 | |
▼a School code: 0010. |
| 650 | 4 |
▼a Quantitative psychology. |
| 650 | 4 |
▼a Artificial intelligence. |
| 690 | |
▼a 0632 |
| 690 | |
▼a 0800 |
| 710 | 20 |
▼a Arizona State University.
▼b Psychology. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0010 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998815
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |