Quantitative Psychology Research

The 80th Annual Meeting of the Psychometric Society, Beijing, 2015

Verfasser / Beitragende:
edited by L. Andries van der Ark, Daniel M. Bolt, Wen-Chung Wang, Jeffrey A. Douglas, Marie Wiberg
Ort, Verlag, Jahr:
Cham : Springer International Publishing, Imprint: Springer, 2016
Beschreibung:
1 online resource (IX, 398 p. 50 illus., 29 illus. in color.) : online resource
Format:
Buch (online)
ID: 390167444
LEADER cam a22 5 4500
001 390167444
003 CHVBK
005 20201016065442.0
006 m d
007 cr |n ||||||||
008 161201s2016 gw |||| s 0 0|eng d
020 |a 978-3-319-38759-8 
020 |a 978-3-319-38757-4 (print) 
024 7 |a 10.1007/978-3-319-38759-8  |2 doi 
035 |a (SERSOL)ssj0001720206 
035 |a (NEBIS)010786954 
035 |a (WaSeSS)ssj0001720206 
040 |d WaSeSS 
050 4 |a QA276-280 
072 7 |a JHBC  |2 bicssc 
072 7 |a SOC027000  |2 bisacsh 
082 0 4 |a 519.5  |2 23 
245 0 0 |a Quantitative Psychology Research  |h [Elektronische Daten]  |b The 80th Annual Meeting of the Psychometric Society, Beijing, 2015  |c edited by L. Andries van der Ark, Daniel M. Bolt, Wen-Chung Wang, Jeffrey A. Douglas, Marie Wiberg 
264 1 |a Cham  |b Springer International Publishing  |b Imprint: Springer  |c 2016 
300 |a 1 online resource (IX, 398 p. 50 illus., 29 illus. in color.)  |b online resource 
347 |a text file  |b PDF  |2 rda 
490 0 |a Springer Proceedings in Mathematics & Statistics  |x 2194-1009  |v 167 
505 0 |a Continuation Ratio Model in Item Response Theory and Selection of Models for Polytomous Items -- Using the Asymmetry of Item Characteristic Curves (ICCs) to Learn about Underlying Item Response Processes -- A Three-Parameter Speeded Item Response Model: Estimation and Application -- An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects -- Item Response Theory Models for Multidimensional Ranking Items -- Different Growth Measures on Different Vertical Scales -- Investigation of Constraint-weighted Item Selection Procedures in Polytomous CAT -- Estimating Classification Accuracy and Consistency Indices for Multidimensional Latent Ability -- Item Response Theory Models for Person Dependence in Paired Samples -- Using Sample Weights in Item Response Data Analysis under Complex Sample Designs -- Scalability Coefficients for Two-Level Polytomous Item Scores: An Introduction and an Application -- Numerical Differences Between Guttman's Reliability Coefficients and the GLB -- A Framework for Optimizing the costs and GT based reliabilities in Large-scale Performance -- A Confirmatory Factor Model for the Investigation of Cognitive Data Showing a Ceiling Effect: an Example -- The Goodness of Sample Loadings of Principal Component Analysis in Approximating to Factor Loadings with High Dimensional Data -- Remedies for Degeneracy in Candecomp/Parafac -- Growth Curve Modeling for Nonnormal Data: A Two-stage Robust Approach versus a Semiparametric Bayesian Approach -- The Specification of Attribute Structures and Its Effects on Classification Accuracy in Diagnostic Test Design -- Conditions of Completeness of the Q-Matrix of Tests for Cognitive Diagnosis -- Application Study of Online Multistage Intelligent Adaptive Testing for Cognitive Diagnosis -- Dichotomous and Polytomous Q Matrix Theory -- Multidimensional Joint Graphical Display of Symmetric Analysis: Back to the Fundamentals -- Classification of Writing Patterns Using Keystroke Logs -- Identifying Useful Features to Detect Off-Topic Essays in Automated Scoring Without Using Topic-Specific Training Essays -- Students' Perceptions of Their Mathematics Teachers in the Longitudinal Study of American Youth (LSAY): A Factor Analytic Approach -- A Study on Factors Influence Chinese Elementary School Teachers' Job Satisfaction -- The Determinants of Training Participation, A Multilevel Approach: Evidence from PIAAC -- Latent Transition Analysis for Program Evaluation with Multivariate Longitudinal Outcomes -- The Theory and Practice of Personality Development Measurement. 
506 |a Lizenzbedingungen können den Zugang einschränken. License restrictions may limit access. 
520 |a The research articles in this volume cover timely quantitative psychology topics, including new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Topics within general quantitative methodology include structural equation modeling, factor analysis, causal modeling, mediation, missing data methods, and longitudinal data analysis. These methods will appeal, in particular, to researchers in the social sciences. The 80th annual meeting took place in Beijing, China, between the 12th and 16th of July, 2014. Previous volumes to showcase work from the Psychometric Society's Meeting are New Developments in Quantitative Psychology: Presentations from the 77th Annual Psychometric Society Meeting (Springer, 2013), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (Springer, 2015), and Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Wisconsin, USA, 2014 (Springer, 2015). 
650 0 |a Statistics 
650 0 |a Psychology  |x Methodology 
650 0 |a Psychological measurement 
650 0 |a Psychometrics 
650 7 |a DATENERHEBUNG (MATHEMATISCHE STATISTIK)  |x ger  |0 (ETHUDK)000013631  |2 ethudk 
650 7 |a FAKTORENANALYSE (MATHEMATISCHE STATISTIK)  |x ger  |0 (ETHUDK)000013605  |2 ethudk 
650 7 |a LERNENDE ALGORITHMEN (MATHEMATISCHE STATISTIK)  |x ger  |0 (ETHUDK)000063256  |2 ethudk 
650 7 |a LONGITUDINALE DATEN (STATISTIK)  |x ger  |0 (ETHUDK)000044430  |2 ethudk 
650 7 |a MODELLRECHNUNG UND SIMULATION IN DER PSYCHOLOGIE  |x ger  |0 (ETHUDK)000049417  |2 ethudk 
650 7 |a PSYCHOPHYSIK + PSYCHOMETRIE (PSYCHOLOGIE)  |x ger  |0 (ETHUDK)000009544  |2 ethudk 
650 7 |a STATISTIK IN DER PSYCHOLOGIE  |x ger  |0 (ETHUDK)000043470  |2 ethudk 
650 7 |a STRUCTURAL EQUATION MODELING (MATHEMATISCHE STATISTIK)  |x ger  |0 (ETHUDK)000063357  |2 ethudk 
650 7 |a UNVOLLSTÄNDIGE DATEN UND FEHLENDE DATEN (MATHEMATISCHE STATISTIK)  |x ger  |0 (ETHUDK)000051557  |2 ethudk 
655 7 |a Online-Ressource  |2 gnd-carrier 
691 7 |B u  |a STRUCTURAL EQUATION MODELING (MATHEMATISCHE STATISTIK)  |z ger  |u 519.237.8,3  |2 nebis E1 
691 7 |B u  |a FAKTORENANALYSE (MATHEMATISCHE STATISTIK)  |z ger  |u 519.237.7  |2 nebis E1 
691 7 |B u  |a UNVOLLSTÄNDIGE DATEN UND FEHLENDE DATEN (MATHEMATISCHE STATISTIK)  |z ger  |u 519.25,2  |2 nebis E1 
691 7 |B u  |a LONGITUDINALE DATEN (STATISTIK)  |z ger  |u 311.213  |2 nebis E1 
691 7 |B u  |a DATENERHEBUNG (MATHEMATISCHE STATISTIK)  |z ger  |u 519.252  |2 nebis E1 
691 7 |B u  |a LERNENDE ALGORITHMEN (MATHEMATISCHE STATISTIK)  |z ger  |u 519.245,13  |2 nebis E1 
691 7 |B u  |a PSYCHOPHYSIK + PSYCHOMETRIE (PSYCHOLOGIE)  |z ger  |u 159.938  |2 nebis E1 
691 7 |B u  |a STATISTIK IN DER PSYCHOLOGIE  |z ger  |u 159.9.07*2  |2 nebis E1 
691 7 |B u  |a MODELLRECHNUNG UND SIMULATION IN DER PSYCHOLOGIE  |z ger  |u 159.9%519.876.5  |2 nebis E1 
691 7 |B u  |a MODÉLISATION D'ÉQUATION STRUCTURELLE (STATISTIQUE MATHÉMATIQUE)  |z fre  |u 519.237.8,3  |2 nebis E1 
691 7 |B u  |a STRUCTURAL EQUATION MODELING (MATHEMATICAL STATISTICS)  |z eng  |u 519.237.8,3  |2 nebis E1 
691 7 |B u  |a FACTOR ANALYSIS (MATHEMATICAL STATISTICS)  |z eng  |u 519.237.7  |2 nebis E1 
691 7 |B u  |a ANALYSE FACTORIELLE (STATISTIQUE MATHÉMATIQUE)  |z fre  |u 519.237.7  |2 nebis E1 
691 7 |B u  |a INCOMPLETE DATA AND MISSING DATA (MATHEMATICAL STATISTICS)  |z eng  |u 519.25,2  |2 nebis E1 
691 7 |B u  |a DONNÉES INCOMPLÈTES ET DONNÉES MANQUANTES (STATISTIQUE MATHÉMATIQUE)  |z fre  |u 519.25,2  |2 nebis E1 
691 7 |B u  |a LONGITUDINAL DATA (STATISTICS)  |z eng  |u 311.213  |2 nebis E1 
691 7 |B u  |a DONNÉES LONGITUDINALES (STATISTIQUE)  |z fre  |u 311.213  |2 nebis E1 
691 7 |B u  |a DATA COLLECTION (MATHEMATICAL STATISTICS)  |z eng  |u 519.252  |2 nebis E1 
691 7 |B u  |a COLLECTE DE DONNÉES (STATISTIQUE MATHÉMATIQUE)  |z fre  |u 519.252  |2 nebis E1 
691 7 |B u  |a LEARNING ALGORITHMS (MATHEMATICAL STATISTICS)  |z eng  |u 519.245,13  |2 nebis E1 
691 7 |B u  |a ALGORITHMES AUTODIDACTES (STATISTIQUE MATHÉMATIQUE)  |z fre  |u 519.245,13  |2 nebis E1 
691 7 |B u  |a PSYCHOPHYSICS + PSYCHOMETRICS (PSYCHOLOGY)  |z eng  |u 159.938  |2 nebis E1 
691 7 |B u  |a PSYCHOPHYSIQUE + PSYCHOMÉTRIE (PSYCHOLOGIE)  |z fre  |u 159.938  |2 nebis E1 
691 7 |B u  |a STATISTICS IN PSYCHOLOGY  |z eng  |u 159.9.07*2  |2 nebis E1 
691 7 |B u  |a STATISTIQUE EN PSYCHOLOGIE  |z fre  |u 159.9.07*2  |2 nebis E1 
691 7 |B u  |a MODÉLISATION MATHÉMATIQUE ET SIMULATION EN PSYCHOLOGIE  |z fre  |u 159.9%519.876.5  |2 nebis E1 
691 7 |B u  |a MATHEMATICAL MODELING AND SIMULATION IN PSYCHOLOGY  |z eng  |u 159.9%519.876.5  |2 nebis E1 
700 1 |a van der Ark  |D L. Andries  |e editor 
700 1 |a Bolt  |D Daniel M.  |e editor 
700 1 |a Wang  |D Wen-Chung  |e editor 
700 1 |a Douglas  |D Jeffrey A.  |e editor 
700 1 |a Wiberg  |D Marie  |e editor 
710 2 |a SpringerLink (Online service) 
776 0 8 |i Printed edition  |z 9783319387574 
856 4 0 |u https://link.springer.com/10.1007/978-3-319-38759-8  |z Uni Basel: Volltext 
898 |a BK020053  |b XK020053  |c XK020000 
909 4 |f Springer Mathematics and Statistics eBooks 2016 English/International 
909 4 |a E-Books von 360MarcUpdates 
909 7 |a Mathematics and Statistics (Springer-11649)  |2 nebis ER 
909 7 |a ebhbz  |f eb-Springer  |2 idsuzh U2 
909 7 |a Update201612-EM  |2 idsuzh U2 
909 7 |a EText  |2 nebis ED 
909 7 |a E01-Springer201612  |2 nebis ER 
912 7 |a 127  |2 E01-20171009 
912 7 |a 085  |2 E01-20171009 
949 |B NEBIS  |F UPSYC  |b UPSYC  |c ULLEH 
949 |B IDSBB  |F A145  |b A145  |c 145VT 
950 |B IDSBB  |P 490  |E 1-  |a Springer Proceedings in Mathematics & Statistics  |x 2194-1009  |v 167 
950 |B IDSBB  |P 700  |E 1-  |a van der Ark  |D L. Andries  |e editor 
950 |B IDSBB  |P 700  |E 1-  |a Bolt  |D Daniel M.  |e editor 
950 |B IDSBB  |P 700  |E 1-  |a Wang  |D Wen-Chung  |e editor 
950 |B IDSBB  |P 700  |E 1-  |a Douglas  |D Jeffrey A.  |e editor 
950 |B IDSBB  |P 700  |E 1-  |a Wiberg  |D Marie  |e editor 
950 |B IDSBB  |P 710  |E 2-  |a SpringerLink (Online service) 
950 |B IDSBB  |P 776  |E 08  |i Printed edition  |z 9783319387574 
950 |B IDSBB  |P 856  |E 40  |u https://link.springer.com/10.1007/978-3-319-38759-8  |z Uni Basel: Volltext 
950 |B NEBIS  |P 490  |E 0-  |a Springer Proceedings in Mathematics & Statistics  |v 167 
950 |B NEBIS  |P 700  |E 1-  |a van der Ark  |D L. Andries  |e Herausgeber  |4 edt 
950 |B NEBIS  |P 700  |E 1-  |a Bolt  |D Daniel M.  |e Herausgeber  |4 edt 
950 |B NEBIS  |P 700  |E 1-  |a Wang  |D Wen-Chung  |e Herausgeber  |4 edt 
950 |B NEBIS  |P 700  |E 1-  |a Douglas  |D Jeffrey A.  |e Herausgeber  |4 edt 
950 |B NEBIS  |P 700  |E 1-  |a Wiberg  |D Marie  |e Herausgeber  |4 edt 
950 |B NEBIS  |P 856  |E --  |u http://sfx.ethz.ch/sfx_locater?sid=ALEPH:EBI01&genre=book&isbn=9783319387598  |z Online via SFX 
986 |a SWISSBIB  |b 37354295X