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Quantitative Psychology Research

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Cover of 'Quantitative Psychology Research'

Table of Contents

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    Book Overview
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    Chapter 1 Continuation Ratio Model in Item Response Theory and Selection of Models for Polytomous Items
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    Chapter 2 Using the Asymmetry of Item Characteristic Curves (ICCs) to Learn About Underlying Item Response Processes
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    Chapter 3 A Three-Parameter Speeded Item Response Model: Estimation and Application
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    Chapter 4 An Application of a Random Mixture Nominal Item Response Model for Investigating Instruction Effects
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    Chapter 5 Item Response Theory Models for Multidimensional Ranking Items
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    Chapter 6 Different Growth Measures on Different Vertical Scales
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    Chapter 7 Investigation of Constraint-Weighted Item Selection Procedures in Polytomous CAT
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    Chapter 8 Estimating Classification Accuracy and Consistency Indices for Multidimensional Latent Ability
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    Chapter 9 Item Response Theory Models for Person Dependence in Paired Samples
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    Chapter 10 Using Sample Weights in Item Response Data Analysis under Complex Sample Designs
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    Chapter 11 Scalability Coefficients for Two-Level Polytomous Item Scores: An Introduction and an Application
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    Chapter 12 Numerical Differences Between Guttman’s Reliability Coefficients and the GLB
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    Chapter 13 Optimizing the Costs and GT based reliabilities of Large-scale Performance Assessments
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    Chapter 14 A Confirmatory Factor Model for the Investigation of Cognitive Data Showing a Ceiling Effect: An Example
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    Chapter 15 The Goodness of Sample Loadings of Principal Component Analysis in Approximating to Factor Loadings with High Dimensional Data
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    Chapter 16 Remedies for Degeneracy in Candecomp/Parafac
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    Chapter 17 Growth Curve Modeling for Nonnormal Data: A Two-Stage Robust Approach Versus a Semiparametric Bayesian Approach
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    Chapter 18 The Specification of Attribute Structures and Its Effects on Classification Accuracy in Diagnostic Test Design
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    Chapter 19 Conditions of Completeness of the Q-Matrix of Tests for Cognitive Diagnosis
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    Chapter 20 Application Study on Online Multistage Intelligent Adaptive Testing for Cognitive Diagnosis
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    Chapter 21 Dichotomous and Polytomous Q Matrix Theory
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    Chapter 22 Multidimensional Joint Graphical Display of Symmetric Analysis: Back to the Fundamentals
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    Chapter 23 Classification of Writing Patterns Using Keystroke Logs
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    Chapter 24 Identifying Useful Features to Detect Off-Topic Essays in Automated Scoring Without Using Topic-Specific Training Essays
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    Chapter 25 Students’ Perceptions of Their Mathematics Teachers in the Longitudinal Study of American Youth (LSAY): A Factor Analytic Approach
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    Chapter 26 Influential Factors of China’s Elementary School Teachers’ Job Satisfaction
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    Chapter 27 The Determinants of Training Participation, a Multilevel Approach: Evidence from PIAAC
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    Chapter 28 Latent Transition Analysis for Program Evaluation with Multivariate Longitudinal Outcomes
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    Chapter 29 The Theory and Practice of Personality Development Measurements
Attention for Chapter 23: Classification of Writing Patterns Using Keystroke Logs
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Chapter title
Classification of Writing Patterns Using Keystroke Logs
Chapter number 23
Book title
Quantitative Psychology Research
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-38759-8_23
Book ISBNs
978-3-31-938757-4, 978-3-31-938759-8
Authors

Mo Zhang, Jiangang Hao, Chen Li, Paul Deane

Editors

L. Andries van der Ark, Daniel M. Bolt, Wen-Chung Wang, Jeffrey A. Douglas, Marie Wiberg

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Ph. D. Student 3 23%
Student > Doctoral Student 2 15%
Student > Master 2 15%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Linguistics 5 38%
Social Sciences 2 15%
Arts and Humanities 1 8%
Psychology 1 8%
Business, Management and Accounting 1 8%
Other 1 8%
Unknown 2 15%