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Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models
We provide a framework for motivating and diagnosing the functional form in the structural part of nonlinear or linear structural equation models...
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Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
A number of parametric and nonparametric methods for estimating cognitive diagnosis models (CDMs) have been developed and applied in a wide range of...
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Comparing Parametric and Nonparametric Methods for Heterogeneous Treatment Effects
Efforts to estimate treatment effects and draw causal inferences based on observational data are increasingly relevant with the abundance of such...
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Learning to draw parametric faces
Humans’ ability to draw faces accurately from memory is extremely rare. One source of difficulty is the drawing process itself, which requires...
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What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data
It is widely believed that a joint factor analysis of item responses and response time (RT) may yield more precise ability scores that are...
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How Do People Generalize Causal Relations over Objects? A Non-parametric Bayesian Account
How do people decide how general a causal relationship is, in terms of the entities or situations it applies to? What features do people use to...
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Semiparametric Factor Analysis for Item-Level Response Time Data
Item-level response time (RT) data can be conveniently collected from computer-based test/survey delivery platforms and have been demonstrated to...
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Insights and risk factors of involuntary hospitalizations through a retrospective analysis of police records: differences between involuntarily and non-hospitalized patients
Involuntary psychiatric admission poses a challenge in terms of providing the most effective yet least restrictive care in accordance with each...
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Using Nonparametric Mixture Models to Model Effect Heterogeneity in Meta-analysis of Very Rare Events
Modeling heterogeneity in meta-analysis of count data is challenging when the event of interest is rare. Then, models based on the assumption of a...
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Network Analysis
Network analysis has been recently adopted by the field of psychology to explore networks of symptoms in psychopathology, and wider interactive...
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An Analysis of the Effect of Graph Construction Disclaimers on Visual Analysis
Recent research has indicated that the manner in which single-case data are typically displayed for visual analysis may influence rater decisions...
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Network Analysis in AP
Further examples of network analysis using the directed graphs introduced in Chap. 4 are given. These networks are graphs showing the degree of...
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