1997 - Fellow of the American Psychological Association (APA)
The scientist’s investigation covers issues in Econometrics, Social psychology, Structural equation modeling, Statistics and Developmental psychology. The various areas that Keith F. Widaman examines in his Econometrics study include Goodness of fit, Regression analysis, Sample size determination and Principal component analysis. His research in the fields of Competence overlaps with other disciplines such as Statistical analysis.
His Structural equation modeling study combines topics from a wide range of disciplines, such as Empiricism, Latent variable, Curse of dimensionality and Pragmatism. His study focuses on the intersection of Statistics and fields such as Construct with connections in the field of Reliability and Personality. The concepts of his Developmental psychology study are interwoven with issues in Longitudinal study, Social support, Ethnic group and Feeling.
His main research concerns Developmental psychology, Social psychology, Clinical psychology, Structural equation modeling and Cognition. His Developmental psychology study incorporates themes from Longitudinal study, Mexican origin, Social environment, Personality and Ethnic group. His research in Social psychology intersects with topics in Test validity and Perception.
As part of one scientific family, Keith F. Widaman deals mainly with the area of Clinical psychology, narrowing it down to issues related to the Confirmatory factor analysis, and often Psychometrics. His study in Structural equation modeling is interdisciplinary in nature, drawing from both Latent variable and Econometrics. His biological study spans a wide range of topics, including Cognitive psychology and Cognitive decline.
His primary scientific interests are in Cognition, Clinical psychology, Developmental psychology, Episodic memory and Disease. Keith F. Widaman combines subjects such as Cognitive psychology and Cognitive decline with his study of Cognition. His Clinical psychology research is multidisciplinary, incorporating elements of Structural equation modeling, Anxiety scale, Cognitive impairment and Separation.
Structural equation modeling is a subfield of Statistics that Keith F. Widaman studies. His research investigates the connection between Developmental psychology and topics such as Psychopathology that intersect with issues in Contextual risk, Temperament and Child development. His research on Episodic memory also deals with topics like
His primary areas of study are Cognition, Clinical psychology, Structural equation modeling, Developmental psychology and Episodic memory. His Cognition research is multidisciplinary, relying on both Early childhood and Cognitive decline. His Clinical psychology study combines topics in areas such as Intellectual disability, Fragile X syndrome, Convergent validity and NIH Toolbox.
His Structural equation modeling study is concerned with Statistics in general. His Developmental psychology study combines topics from a wide range of disciplines, such as Family income, Psychopathology and Pride. Keith F. Widaman has researched Episodic memory in several fields, including Neuropsychology, Young adult, Working memory, Confirmatory factor analysis and California Verbal Learning Test.
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To Parcel or Not to Parcel: Exploring the Question, Weighing the Merits
Todd D. Little;William A. Cunningham;Golan Shahar;Keith F. Widaman.
Structural Equation Modeling (2002)
Sample size in factor analysis.
Robert C. MacCallum;Keith F. Widaman;Shaobo Zhang;Sehee Hong.
Psychological Methods (1999)
Factor analysis in the development and refinement of clinical assessment instruments.
Frank J. Floyd;Keith F. Widaman.
Psychological Assessment (1995)
Confirmatory factor analysis and item response theory : two approaches for exploring measurement invariance
Steven P. Reise;Keith F. Widaman;Robin H. Pugh.
Psychological Bulletin (1993)
Hierarchically nested covariance structure models for multitrait-multimethod data
Keith F. Widaman.
Applied Psychological Measurement (1985)
Exploring the measurement invariance of psychological instruments: Applications in the substance use domain.
Keith F. Widaman;Steven P. Reise.
Unidimensional Versus Domain Representative Parceling of Questionnaire Items: An Empirical Example:
Joseph M. Kishton;Keith F. Widaman.
Educational and Psychological Measurement (1994)
HIV-Related Stigma and Knowledge in the United States: Prevalence and Trends, 1991–1999
Gregory M. Herek;John P. Capitanio;Keith F. Widaman.
American Journal of Public Health (2002)
Sample size in factor analysis: The role of model error
Robert C. MacCallum;Keith F. Widaman;Kristopher J. Preacher;Sehee Hong.
Multivariate Behavioral Research (2001)
Life-span development of self-esteem and its effects on important life outcomes
Ulrich Orth;Richard W. Robins;Keith F. Widaman.
Journal of Personality and Social Psychology (2012)
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