- Oxford Library of Psychology
- [UNTITLED]
- Oxford Library of Psychology
- About the Editor
- Contributors
- Introduction
- Overview of Traditional/Classical Statistical Approaches
- Generalized Linear Models
- Categorical Methods
- Configural Frequency Analysis
- Nonparametric Statistical Techniques
- Correspondence Analysis
- Spatial Analysis
- Analysis of Imaging Data
- Twin Studies and Behavior Genetics
- Quantitative Analysis of Genes
- Multidimensional Scaling
- Latent Variable Measurement Models
- Multilevel Regression and Multilevel Structural Equation Modeling
- Structural Equation Models
- Developments in Mediation Analysis
- Moderation
- Longitudinal Data Analysis
- Dynamical Systems and Models of Continuous Time
- Intensive Longitudinal Data
- Dynamic Factor Analysis: Modeling Person-Specific Process
- Time Series Analysis
- Analyzing Event History Data
- Clustering and Classification
- Latent Class Analysis and Finite Mixture Modeling
- Taxometrics
- Missing Data Methods
- Secondary Data Analysis
- Data Mining
- Meta-Analysis and Quantitative Research Synthesis
- Common Fallacies in Quantitative Research Methodology
- Index
Abstract and Keywords
In this introductory chapter to The Oxford Handbook of Quantitative Methods, I provide an overview of the two volumes. More specifically, I describe the rationale and motivation for the selected topics that are presented in the volumes. I also list out my instructions to the chapter authors and then describe how the chapters fit together into thematic groupings. I also extend my sincerest gratitude to the persons who assisted me along the way, as no work this comprehensive can be done without the considerable help and assistance of many persons. I conclude with how pleased I am with the quality and comprehensiveness of the chapters that are included.
Keywords: Overview, Quantitative Methods, Methodology, Statistics
Todd D. Little, Ph.D., is a Professor of Psychology, Director of the Quantitative training program, Director of the undergraduate Social and Behavioral Sciences Methodology minor, and a member of the Developmental training program. Since 2010, Todd has been Director of the Center for Research Methods and Data Analysis (CRMDA) at Kansas University. Little is internationally recognized for his quantitative work on various aspects of applied SEM (e.g., indicator selection, parceling, modeling developmental processes) as well as his substantive developmental research (e.g., action-control processes and motivation, coping, and self-regulation). In 2001, Little was elected to membership in the Society for Multivariate Experimental Psychology. In 2009, he was elected President of APA’s Division 5 (Evaluation, Measurement, and Statistics) and in 2010 was elected Fellow of the division. In 2012, he was elected Fellow in the Association for Psychological Science. He founded, organizes, and teaches in the internationally renowned KU “Stats Camps” each June (see crmda.KU.edu for details of the summer training programs). Little has edited five books related to methodology including The Oxford Handbook of Quantitative Methods and the Guilford Handbook of Developmental Research Methods (with Brett Laursen and Noel Card). Little has been principal investigator or co-principal investigator on more than 15 grants and contracts, statistical consultant on more than 60 grants and he has guided the development of more than 10 different measurement tools.
Access to the complete content on Oxford Handbooks Online requires a subscription or purchase. Public users are able to search the site and view the abstracts and keywords for each book and chapter without a subscription.
Please subscribe or login to access full text content.
If you have purchased a print title that contains an access token, please see the token for information about how to register your code.
For questions on access or troubleshooting, please check our FAQs, and if you can''t find the answer there, please contact us.
- Oxford Library of Psychology
- [UNTITLED]
- Oxford Library of Psychology
- About the Editor
- Contributors
- Introduction
- Overview of Traditional/Classical Statistical Approaches
- Generalized Linear Models
- Categorical Methods
- Configural Frequency Analysis
- Nonparametric Statistical Techniques
- Correspondence Analysis
- Spatial Analysis
- Analysis of Imaging Data
- Twin Studies and Behavior Genetics
- Quantitative Analysis of Genes
- Multidimensional Scaling
- Latent Variable Measurement Models
- Multilevel Regression and Multilevel Structural Equation Modeling
- Structural Equation Models
- Developments in Mediation Analysis
- Moderation
- Longitudinal Data Analysis
- Dynamical Systems and Models of Continuous Time
- Intensive Longitudinal Data
- Dynamic Factor Analysis: Modeling Person-Specific Process
- Time Series Analysis
- Analyzing Event History Data
- Clustering and Classification
- Latent Class Analysis and Finite Mixture Modeling
- Taxometrics
- Missing Data Methods
- Secondary Data Analysis
- Data Mining
- Meta-Analysis and Quantitative Research Synthesis
- Common Fallacies in Quantitative Research Methodology
- Index
