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Quantitative Psychology Research

Overview of attention for book
Cover of 'Quantitative Psychology Research'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
31 Mendeley
Summary X
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Title
Quantitative Psychology Research
Published by
Springer Proceedings in Mathematics & Statistics, 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

View on publisher site
X Demographics

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 January 2024.
All research outputs
#16,464,459
of 25,992,468 outputs
Outputs from Springer Proceedings in Mathematics & Statistics
#1
of 1 outputs
Outputs of similar age
#202,434
of 362,570 outputs
Outputs of similar age from Springer Proceedings in Mathematics & Statistics
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.5. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 362,570 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them

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