Daniel Schulze
Biographic Data
| ID | 7718330 |
|---|---|
| NAME | Daniel Schulze |
| GIVEN NAMES | Daniel |
| FAMILY NAME | Schulze |
| SIGNATURE | SCHULZE D |
| AFFILIATIONS | Freie Universität Berlin |
| ORCID | 0000-0001-9415-2555 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Using Item Response Theory Models in Scaling Severity Scores in Alcohol Research—A Tutorial
Post-infection symptoms up to 24 months after Covid-19
Introduction: Long-term health consequences after mild COVID-19 are not well described. Our aim was to estimate their prevalence and describe the time course of signs and symptoms for a period of up to 24 months after SARS-CoV-2 infection. Methods: We conducted a cohort study matched for age, sex, and test week among individuals who had attended the public COVID-19 test center at Charité-Universitätsmedizin Berlin, Germany. In early 2022, 576 for…
Digital health literacy among people with bipolar disorder in Germany – a cross-sectional survey
DHL in BD is not uniformly lower compared to the general population, underlining the feasibility of digital interventions as a promising pillar of care. At the same time, substantial heterogeneity highlights the need for routine DHL screening and tailored support for subgroups with lower skills. Future interventions and studies should systematically stratify by DHL level and target higher-order skills such as evaluating reliability and decision-m…
Measurement Invariance
A core challenge in modeling partial measurement invariance (MI) is choosing reference items as anchors for which MI indeed holds. Many approaches dealing with this issue have been proposed, each making a different assumption about MI and yielding a single set of anchor items. Here, we consider the case where i) partial MI modeling is used for estimating effects, e.g., a group mean difference, and ii) there is no straightforward theoretical reaso…
Finding Clusters of Measurement Invariant Items for Continuous Covariates
Measurement invariance (MI) cannot always be achieved for the full length of a test or questionnaire, leading researchers to seek for measurement invariant item subsets. Previous approaches either 1) can only analyze group covariates or 2) make implicit assumptions on the nature of MI and then yield a single item set. We provide a general approach for identifying invariant item sets via structural equation modeling that can be applied to dichotom…
Demo hour
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Demo hour
No abstract available
Finding Clusters of Measurement Invariant Items for Continuous Covariates
Measurement invariance (MI) cannot always be achieved for the full length of a test or questionnaire, leading researchers to seek for measurement invariant item subsets. Previous approaches either 1) can only analyze group covariates or 2) make implicit assumptions on the nature of MI and then yield a single item set. We provide a general approach for identifying invariant item sets via structural equation modeling that can be applied to dichotom…
Measurement Invariance
A core challenge in modeling partial measurement invariance (MI) is choosing reference items as anchors for which MI indeed holds. Many approaches dealing with this issue have been proposed, each making a different assumption about MI and yielding a single set of anchor items. Here, we consider the case where i) partial MI modeling is used for estimating effects, e.g., a group mean difference, and ii) there is no straightforward theoretical reaso…
Post-infection symptoms up to 24 months after Covid-19
Introduction: Long-term health consequences after mild COVID-19 are not well described. Our aim was to estimate their prevalence and describe the time course of signs and symptoms for a period of up to 24 months after SARS-CoV-2 infection. Methods: We conducted a cohort study matched for age, sex, and test week among individuals who had attended the public COVID-19 test center at Charité-Universitätsmedizin Berlin, Germany. In early 2022, 576 for…
Digital health literacy among people with bipolar disorder in Germany – a cross-sectional survey
DHL in BD is not uniformly lower compared to the general population, underlining the feasibility of digital interventions as a promising pillar of care. At the same time, substantial heterogeneity highlights the need for routine DHL screening and tailored support for subgroups with lower skills. Future interventions and studies should systematically stratify by DHL level and target higher-order skills such as evaluating reliability and decision-m…
Using Item Response Theory Models in Scaling Severity Scores in Alcohol Research—A Tutorial
Computer Science (3 works) · Econometrics (2 works) · Mathematics (2 works) · Measurement invariance (2 works) · Psychometric Methodologies and Testing (2 works) · Structural equation modeling (2 works) · A priori and a posteriori (1 work) · Advanced Causal Inference Techniques (1 work) · Advanced Statistical Modeling Techniques (1 work) · Alcohol (1 work)