Analysis of an Intelligence Dataset
Weitere Verfasser: |
Myszkowski, Nils
, [HerausgeberIn]
|
---|---|
Umfang/Format: |
1 online resource (166 pages). |
ISBN: | books978-3-0365-0041-6 9783036500409 9783036500416 |
Schlagworte: | |
Online-Zugang: |
DOAB: download the publication DOAB: description of the publication |
MARC
LEADER | 00000namaa2200000ui 4500 | ||
---|---|---|---|
001 | 003028135 | ||
005 | 20221228154428.0 | ||
003 | DE-2553 | ||
006 | m o d | ||
007 | cr|mn|---annan | ||
008 | 20210501s2021 xx |||||o ||| 0|eng d | ||
020 | |a books978-3-0365-0041-6 | ||
020 | |a 9783036500409 | ||
020 | |a 9783036500416 | ||
040 | |a oapen |c oapen |b eng |d DE-2553 |e rda | ||
024 | 7 | |a 10.3390/books978-3-0365-0041-6 |c doi | |
041 | 0 | |a eng | |
042 | |a dc | ||
072 | 7 | |a JM |2 bicssc | |
100 | 1 | |a Myszkowski, Nils |e editor | |
264 | |b MDPI - Multidisciplinary Digital Publishing Institute, |c 2021. | ||
700 | 1 | |a Myszkowski, Nils |e other | |
245 | 1 | 0 | |a Analysis of an Intelligence Dataset |
300 | |a 1 online resource (166 pages). | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
546 | |a English | ||
650 | 7 | |a Psychology |2 bicssc | |
653 | |a Raven matrices | ||
653 | |a Standard Progressive Matrices test | ||
653 | |a dimensionality | ||
653 | |a bi-factor | ||
653 | |a parallel analysis | ||
653 | |a target rotation | ||
653 | |a exploratory graph analysis | ||
653 | |a E-assessment | ||
653 | |a general mental ability | ||
653 | |a nested logit models | ||
653 | |a item-response theory | ||
653 | |a ability-based guessing | ||
653 | |a Standard Progressive Matrices | ||
653 | |a Item Response Theory | ||
653 | |a Bayesian statistics | ||
653 | |a brms | ||
653 | |a Stan | ||
653 | |a R | ||
653 | |a Raven's progressive matrices | ||
653 | |a intelligence | ||
653 | |a distractors | ||
653 | |a item analysis | ||
653 | |a intelligence tests | ||
653 | |a classical test theory | ||
653 | |a IRT | ||
653 | |a interaction model | ||
653 | |a test-item regression | ||
653 | |a Mokken scale analysis | ||
653 | |a non-parametric item response theory | ||
653 | |a psychometrics | ||
653 | |a invariant item ordering | ||
653 | |a regularized latent class analysis | ||
653 | |a regularization | ||
653 | |a fused regularization | ||
653 | |a fused grouped regularization | ||
653 | |a distractor analysis | ||
653 | |a n/a | ||
856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/3388 |7 0 |z DOAB: download the publication |
856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/68375 |7 0 |z DOAB: description of the publication |
590 | |a Online publication | ||
590 | |a ebookoa1222 | ||
590 | |a doab | ||
942 | |2 z |c EB | ||
952 | |0 0 |1 0 |2 z |4 0 |6 ONLINE |7 1 |9 973774 |R 2022-12-28 15:44:28 |a DAIG |b DAIG |l 0 |o Online |r 2022-12-28 00:00:00 |y EB | ||
999 | |c 3028135 |d 1431890 |