자료유형 | E-Book |
---|---|
개인저자 | Gonzalez, Oscar. |
단체저자명 | Arizona State University. Psychology. |
서명/저자사항 | Psychometric and Machine Learning Approaches to Diagnostic Assessment. |
발행사항 | [S.l.] : Arizona State University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 306 p. |
소장본 주기 | School code: 0010. |
ISBN | 9780438196704 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: David P. MacKinnon |
요약 | 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 |
일반주제명 | Quantitative psychology. Artificial intelligence. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998815 |