The Oxford Handbook of Quantitative Methods, Vol. 2 Statistical Analysis

by Little, Todd D.

• ISBN13: 9780199934898
• ISBN10: 0199934894
• Edition: 1st
• Format: Hardcover
• Copyright: 2013-03-01
• Publisher: Oxford University Press

Summary

Research today demands the application of sophisticated and powerful research tools. Fulfilling this need,The Oxford Handbook of Quantitative Methods in Psychologyis the complete tool box to deliver the most valid and generalizable answers to today's complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

Author Biography

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.

Table of Contents

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

Quantitative Analysis of Genes

Twin Studies and Behavior Genetics

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

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