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Article
Psychology, Multidisciplinary
Jonas M. B. Haslbeck et al.
Summary: The article discusses network models in clinical psychology and psychiatry that examine the relationships between symptoms of mental disorders. Comparing network models across different groups may introduce bias, depending on the research question at hand. Comparing network models estimated from groups defined by sum-scores does not introduce bias, but bias may be present in other situations.
PSYCHOLOGICAL METHODS
(2022)
Article
Psychology, Multidisciplinary
Jonas M. B. Haslbeck et al.
Summary: Over the last decade, empirical research has increasingly focused on mental disorders as complex systems. This article explores how to utilize this research to advance the field towards explaining, predicting, and controlling psychopathology. The authors propose that constructing formal theories of mental disorders is essential, and suggest using empirical data models to inform the development of these theories, with the comparison of empirical and theory-implied data models being the most promising approach. The introduction of the abductive formal theory construction (AFTC) framework provides a clear and promising pathway forward for using empirical research to inform the development and testing of formal theories in psychopathology and psychology more broadly.
PSYCHOLOGICAL METHODS
(2022)
Article
Mathematics, Interdisciplinary Applications
Kevin H. Lee et al.
Summary: Researchers introduced finite mixture of ordinal graphical models to study the heterogeneous conditional dependence relationships of ordinal data in psychological science. By developing a penalized likelihood approach and designing a generalized EM algorithm, the significant computational challenges were effectively addressed, demonstrating good performance in simulation studies and real applications.
Article
Economics
Marica Manisera et al.
Summary: Subjective perceptions and attitudes are often measured using questionnaires with ordered response scales, such as semantic differential scales. This study proposes a new model called CUM (Combination of discrete Uniform and shifted Binomial random variables) to model ordinal variables measured on semantic differential scales. The model is also applicable to other rating scales with a middle option for indifference. Parameter estimation is conducted using the expectation-maximization algorithm, and the parameters are represented in a triangular space with a ternary plot. The study includes simulation and analysis of real data to demonstrate the limitations and potential of the proposed model.
ECONOMETRICS AND STATISTICS
(2022)
Article
Psychology, Clinical
Jill de Ron et al.
Summary: The study investigates the impact of Berkson's bias on Gaussian Graphical Model and Ising Model, finding that higher cut-off values result in worse recovery of network structure and selection reduces recovery rates. Berkson's bias is identified as a significant and underappreciated issue in the clinical network literature.
PSYCHOLOGICAL MEDICINE
(2021)
Article
Psychology, Multidisciplinary
Michael J. Brusco et al.
PSYCHOLOGICAL METHODS
(2019)
Article
Mathematics, Interdisciplinary Applications
Geoffrey J. McLachlan et al.
Annual Review of Statistics and Its Application
(2018)
Article
Psychology, Mathematical
Jesper Tijmstra et al.
BEHAVIOR RESEARCH METHODS
(2018)
Article
Psychiatry
Denny Borsboom
Article
Computer Science, Theory & Methods
Monia Ranalli et al.
STATISTICS AND COMPUTING
(2016)
Article
Statistics & Probability
Jian Guo et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2015)
Article
Computer Science, Interdisciplinary Applications
Drew A. Linzer et al.
JOURNAL OF STATISTICAL SOFTWARE
(2011)
Article
Business
Joost van Rosmalen et al.
JOURNAL OF MARKETING RESEARCH
(2010)
Article
Primary Health Care
Isobel M. Cameron et al.
BRITISH JOURNAL OF GENERAL PRACTICE
(2008)
Article
Political Science
J Clinton et al.
AMERICAN POLITICAL SCIENCE REVIEW
(2004)
