Han Van Der Maas
Biographic Data
| ID | 4417857 |
|---|---|
| NAME | Han Van Der Maas |
| GIVEN NAMES | Han |
| FAMILY NAME | Van Der Maas |
| SIGNATURE | VAN DER MAAS H |
| AFFILIATIONS | Department of Psychology University of Amsterdam Amsterdam The Netherlands |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
ReMoDe – Recursive modality detection in distributions of ordinal data
The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data. In the present paper, we attempt to fill this gap by proposing a recursive modality detection method (ReMoDe) which detects mode…
Extending empirical benchmarks of working memory to children
In this study, we explored whether the key benchmarks of working memory processing identified in adults by Oberauer et al. (2018a) also apply to children, using data from a large adaptive learning environment. Over 9,000 children from Dutch primary schools (age between 6 and 12) played two serial recall tasks (verbal domain and visuospatial domain), providing a means for studying working memory processing in students' regular educational environm…
Involvement as a Polarizing Factor?—A Comprehensive Multi‐Method Analysis across Representative Datasets
Complex system models of attitudes, such as the Hierarchical Ising Opinion Model (HIOM), suggest that a person's involvement in an attitude object could be linked to attitude extremity and polarization. Despite its potential to integrate various theories of attitude change and despite the implications it could hold for attitude research, this assumption has not yet been studied systematically. We investigate the role of involvement in five large‐…
Accumulation of psychological problems in UK cities; A quantile regression approach
The rich get richer and the poor face poverty in cities. Inspired by this economic accumulation, we study if domains of psychological well-being also accumulate across six psychological dimensions in cities. According to accumulation theory, we expect the most pronounced urban-rural disparities in the extremes of a total well-being distribution. We test this using quantile regression on a sample of 39,368 UK residents aged 40 to 70. Using a conti…
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Extending empirical benchmarks of working memory to children
In this study, we explored whether the key benchmarks of working memory processing identified in adults by Oberauer et al. (2018a) also apply to children, using data from a large adaptive learning environment. Over 9,000 children from Dutch primary schools (age between 6 and 12) played two serial recall tasks (verbal domain and visuospatial domain), providing a means for studying working memory processing in students' regular educational environm…
Involvement as a Polarizing Factor?—A Comprehensive Multi‐Method Analysis across Representative Datasets
Complex system models of attitudes, such as the Hierarchical Ising Opinion Model (HIOM), suggest that a person's involvement in an attitude object could be linked to attitude extremity and polarization. Despite its potential to integrate various theories of attitude change and despite the implications it could hold for attitude research, this assumption has not yet been studied systematically. We investigate the role of involvement in five large‐…
Accumulation of psychological problems in UK cities; A quantile regression approach
The rich get richer and the poor face poverty in cities. Inspired by this economic accumulation, we study if domains of psychological well-being also accumulate across six psychological dimensions in cities. According to accumulation theory, we expect the most pronounced urban-rural disparities in the extremes of a total well-being distribution. We test this using quantile regression on a sample of 39,368 UK residents aged 40 to 70. Using a conti…
ReMoDe – Recursive modality detection in distributions of ordinal data
The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data. In the present paper, we attempt to fill this gap by proposing a recursive modality detection method (ReMoDe) which detects mode…
Psychology (2 works) · Association (psychology) (1 works) · Benchmark (surveying) (1 works) · Categorical variable (1 works) · Clinical Reasoning and Diagnostic Skills (1 works) · Cognition (1 works) · Cognitive Abilities and Testing (1 works) · Cognitive psychology (1 works) · Complex Network Analysis Techniques (1 works) · Computer Science (1 works)