What is he best known for?
The fields of study he is best known for:
- Statistics
- Machine learning
- Regression analysis
Niels G. Waller spends much of his time researching Social psychology, Personality, Psychometrics, Developmental psychology and Multidimensional Personality Questionnaire.
His Social psychology research incorporates themes from Dissociative, Generality and Dissociation.
Niels G. Waller does research in Personality, focusing on Big Five personality traits specifically.
His Psychometrics study combines topics in areas such as Cognitive psychology, Item response theory, Personality test and Psychological testing.
His work on Adult development as part of general Developmental psychology research is often related to Interest inventory, Religious values, Fraternal twin and Model fitting, thus linking different fields of science.
His biological study deals with issues like Facet, which deal with fields such as Clinical psychology.
His most cited work include:
- An item response theory analysis of self-report measures of adult attachment. (1882 citations)
- Types of dissociation and dissociative types: A taxometric analysis of dissociative experiences (674 citations)
- Exploring personality through test construction: Development of the multidimensional personality questionnaire (570 citations)
What are the main themes of his work throughout his whole career to date?
Niels G. Waller mainly focuses on Statistics, Personality, Social psychology, Clinical psychology and Developmental psychology.
Niels G. Waller combines topics linked to Personality test with his work on Personality.
The Social psychology study combines topics in areas such as Item response theory and Sample.
His study in Item response theory is interdisciplinary in nature, drawing from both Computerized adaptive testing, Cognitive psychology and Psychological testing.
His Clinical psychology study integrates concerns from other disciplines, such as Personality Assessment Inventory and Minnesota Multiphasic Personality Inventory.
Niels G. Waller studies Developmental psychology, focusing on Psychometrics in particular.
He most often published in these fields:
- Statistics (24.26%)
- Personality (22.79%)
- Social psychology (16.18%)
What were the highlights of his more recent work (between 2013-2021)?
- Statistics (24.26%)
- Personality (22.79%)
- Covariance matrix (5.15%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Statistics, Personality, Covariance matrix, Applied mathematics and Sample.
His research integrates issues of Econometrics and Minnesota Multiphasic Personality Inventory in his study of Statistics.
His Minnesota Multiphasic Personality Inventory research focuses on Bayesian probability and how it connects with Item response theory.
His research on Personality often connects related topics like Developmental psychology.
His work in Applied mathematics addresses issues such as Monte Carlo method, which are connected to fields such as Correlation, Coefficient of determination and Combinatorics.
The study incorporates disciplines such as Exploratory factor analysis, Data set and Aggregate data in addition to Sample.
Between 2013 and 2021, his most popular works were:
- Confirmatory factor analysis of the Oral Health Impact Profile. (90 citations)
- Factor analyses of the Oral Health Impact Profile – Overview and studied population (41 citations)
- The Recaptured Scale Technique: A Method for Testing the Structural Robustness of Personality Scales (29 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Machine learning
- Regression analysis
Niels G. Waller mostly deals with Sample, Statistics, Quality of life, Covariance matrix and Prosthodontics.
His biological study spans a wide range of topics, including Regression analysis, Nonnormal data, Linear regression and Standardized coefficient.
His work on Bayes' theorem is typically connected to Estimation as part of general Statistics study, connecting several disciplines of science.
A majority of his Quality of life research is a blend of other scientific areas, such as Social psychology, Psychosocial, Confirmatory factor analysis, Interpretability and Clinical psychology.
His studies deal with areas such as Recall, Psychometrics, Reliability, Validity and Physical therapy as well as Oral health.
His Minnesota Multiphasic Personality Inventory research is multidisciplinary, relying on both Item response theory, Sample size determination, Bayesian probability and Code.
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