What is she best known for?
The fields of study she is best known for:
- Statistics
- Social psychology
- Cognition
Leona S. Aiken mostly deals with Statistics, Clinical psychology, Developmental psychology, Linear regression and Regression analysis.
Her work on Regression diagnostic, Local regression and Segmented regression as part of general Statistics study is frequently linked to Human capital, therefore connecting diverse disciplines of science.
Her work in Regression diagnostic addresses subjects such as Unit-weighted regression, which are connected to disciplines such as Behavioural sciences.
Leona S. Aiken interconnects Basis, Analysis of variance and Categorical variable in the investigation of issues within Linear regression.
Her work in Analysis of variance tackles topics such as Spurious relationship which are related to areas like Social psychology.
Her Categorical variable study integrates concerns from other disciplines, such as Regression, Reliability, Statistical power, Continuous variable and Scaling.
Her most cited work include:
- Multiple Regression: Testing and Interpreting Interactions (27103 citations)
- Applied multiple regression/correlation analysis for the behavioral sciences (18994 citations)
- Multiple regression : testing and interpreting interactions (1241 citations)
What are the main themes of her work throughout her whole career to date?
Leona S. Aiken spends much of her time researching Statistics, Developmental psychology, Clinical psychology, Social psychology and Linear regression.
Her studies deal with areas such as Econometrics and Correlation as well as Statistics.
Her work on Age differences as part of general Developmental psychology research is frequently linked to Condom, bridging the gap between disciplines.
Her Clinical psychology study also includes fields such as
- Health belief model most often made with reference to Psychosocial,
- Drug treatment most often made with reference to Substance abuse.
Her Linear regression study frequently draws connections between adjacent fields such as Analysis of variance.
Particularly relevant to Regression diagnostic is her body of work in Regression analysis.
She most often published in these fields:
- Statistics (24.82%)
- Developmental psychology (22.63%)
- Clinical psychology (17.52%)
What were the highlights of her more recent work (between 2008-2020)?
- Statistics (24.82%)
- Developmental psychology (22.63%)
- Linear regression (10.95%)
In recent papers she was focusing on the following fields of study:
Her primary areas of study are Statistics, Developmental psychology, Linear regression, Clinical psychology and Social psychology.
Leona S. Aiken regularly links together related areas like Correlation in her Statistics studies.
Her Developmental psychology research integrates issues from Self-efficacy and Moderation.
Leona S. Aiken has researched Linear regression in several fields, including Analysis of variance and Bayesian probability.
Her work investigates the relationship between Categorical variable and topics such as Ordinary least squares that intersect with problems in Regression.
Her work carried out in the field of Regression diagnostic brings together such families of science as Poisson distribution, Segmented regression and Local regression.
Between 2008 and 2020, her most popular works were:
- The Analysis of Count Data : A Gentle Introduction to Poisson Regression and Its Alternatives (569 citations)
- Neighborhood contexts and the mediating role of neighborhood social cohesion on health and psychological distress among Hispanic and non-Hispanic residents. (105 citations)
- Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects (94 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Social psychology
- Cognition
Her primary scientific interests are in Social psychology, Developmental psychology, Statistics, Behavior change and Social norms approach.
The various areas that Leona S. Aiken examines in her Social psychology study include Equivalence and Calculus, Calculus.
The study incorporates disciplines such as Substance abuse, Athletes and Health education in addition to Developmental psychology.
Her research on Statistics frequently connects to adjacent areas such as Econometrics.
The Behavior change study combines topics in areas such as Randomized controlled trial, Environmental exposure, Psychological research and Social perception.
Her research in Statistical power intersects with topics in Analysis of covariance and Monte Carlo method.
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