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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 What Do You Mean by a Difficult Item? On the Interpretation of the Difficulty Parameter in a Rasch Model
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    Chapter 2 Thurstonian Item Response Theory and an Application to Attitude Items
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    Chapter 3 Robustness of Mixture IRT Models to Violations of Latent Normality
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    Chapter 4 An Option-Based Partial Credit Item Response Model
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    Chapter 5 A General Saltus LLTM-R for Cognitive Assessments
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    Chapter 6 Multidimensional IRT Models to Analyze Learning Outcomes of Italian Students at the End of Lower Secondary School
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    Chapter 7 Graphical Representations of Items and Tests That are Measuring Multiple Abilities
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    Chapter 8 New Item-Selection Methods for Balancing Test Efficiency Against Item-Bank Usage Efficiency in CD-CAT
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    Chapter 9 Comparison of Linear, Computerized Adaptive and Multi Stage Adaptive Versions of the Mathematics Assessment of Turkish Pupil Monitoring System
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    Chapter 10 Optimal Sampling Design for IRT Linking with Bimodal Data
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    Chapter 11 Selecting a Data Collection Design for Linking in Educational Measurement: Taking Differential Motivation into Account
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    Chapter 12 Vertical Comparison Using Reference Sets
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    Chapter 13 A Dependent Bayesian Nonparametric Model for Test Equating
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    Chapter 14 Using a Modified Multidimensional Priority Index for Item Selection Under Within-Item Multidimensional Computerized Adaptive Testing
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    Chapter 15 Assessing Differential Item Functioning in Multiple Grouping Variables with Factorial Logistic Regression
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    Chapter 16 MTP2 and Partial Correlations in Monotone Higher-Order Factor Models
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    Chapter 17 A Comparison of Confirmatory Factor Analysis of Binary Data on the Basis of Tetrachoric Correlations and of Probability-Based Covariances: A Simulation Study
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    Chapter 18 On Cronbach’s Alpha as the Mean of All Split-Half Reliabilities
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    Chapter 19 An Empirical Assessment of Guttman’s Lambda 4 Reliability Coefficient
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    Chapter 20 A Test for Ordinal Measurement Invariance
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    Chapter 21 Model Selection Criteria for Latent Growth Models Using Bayesian Methods
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    Chapter 22 A Comparison of the Hierarchical Generalized Linear Model, Multiple-Indicators Multiple-Causes, and the Item Response Theory-Likelihood Ratio Test for Detecting Differential Item Functioning
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    Chapter 23 Comparing Estimation Methods for Categorical Marginal Models
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    Chapter 24 Evaluating Simplicial Mixtures of Markov Chains for Modeling Student Metacognitive Strategies
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    Chapter 25 Partitioning Variance Into Constituents in Multiple Regression Models: Commonality Analysis
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    Chapter 26 Multilevel Random Mediation Analysis: A Comparison of Analytical Alternatives
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    Chapter 27 Mediation Analysis for Ordinal Outcome Variables
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    Chapter 28 Comparison of Nested Models for Multiply Imputed Data
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    Chapter 29 A Paradox by Another Name Is Good Estimation
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Title
Quantitative Psychology Research
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-07503-7
ISBNs
978-3-31-907502-0, 978-3-31-907503-7
Authors

Jeon, Minjeong, Draney, Karen, Wilson, Mark

Editors

Roger E. Millsap, Daniel M. Bolt, Andries L. van der Ark, Wen Chung Wang

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X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Unknown 30 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Master 5 16%
Researcher 4 13%
Professor 3 10%
Professor > Associate Professor 2 6%
Other 7 23%
Unknown 4 13%
Readers by discipline Count As %
Psychology 12 39%
Business, Management and Accounting 3 10%
Environmental Science 3 10%
Social Sciences 2 6%
Medicine and Dentistry 2 6%
Other 3 10%
Unknown 6 19%