LDR | | 01536nmm uu200397 4500 |
001 | | 000000331793 |
005 | | 20240805165358 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438196704 |
035 | |
▼a (MiAaPQ)AAI10825882 |
035 | |
▼a (MiAaPQ)asu:18086 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
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 |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |