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While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.
This book embeds a novel evolutionary analysis of human group selection within a comprehensive overview of multilevel selection theory, a theory wherein evolution proceeds at the level of individual organisms and collectives, such as human families, tribes, states, and empires. Where previous works on the topic have variously supported multilevel selection with logic, theory, experimental data, or via review of the zoological literature; in this book the authors uniquely establish the validity of human group selection as a historical evolutionary process within a multilevel selection framework. Select portions of the historical record are examined from a multilevel selectionist perspective, ...
The informational nature of biological organization, at levels from the genetic and epigenetic to the cognitive and linguistic. Information shapes biological organization in fundamental ways and at every organizational level. Because organisms use information--including DNA codes, gene expression, and chemical signaling--to construct, maintain, repair, and replicate themselves, it would seem only natural to use information-related ideas in our attempts to understand the general nature of living systems, the causality by which they operate, the difference between living and inanimate matter, and the emergence, in some biological species, of cognition, emotion, and language. And yet philosophe...
The social sciences share a mission to shed light on human nature and society. However, there is no widely accepted meta-theory; no foundation from which variables can be linked, causally sequenced, or ultimately explained. This book advances “life history evolution” as the missing meta-theory for the social sciences. Originally a biological theory for the variation between species, research on life history evolution now encompasses psychological and sociological variation within the human species that has long been the stock and trade of social scientific study. The eighteen chapters of this book review six disciplines, eighteen authors, and eighty-two volumes published between 1734 and 2015—re-reading the texts in the light of life history evolution.
The National Survey of Child and Adolescent Well-Being (NSCAW) is the first nationally representative study of children who have been reported to authorities as suspected victims of abuse or neglect and the public programs that protect them. Child Protection is the first book that reports the results of NSCAW, interprets the findings, and puts them into a broader policy context. The authors, all experts in child welfare issues, address a range of issues made apparent by the survey results, including which types of personal and familial problems the programs are meant to address, the range of services and interventions that the child protection system can make available, and an assessment of these programs. Each chapter discusses the survey's implications and suggests new alternatives for designing and implementing future programs that not only protect at-risk children from further harm but also provide them with security and support. The practical lessons included in this volume make it an essential reference for all professionals working in the child protection field as well as anyone studying in the field of child welfare.
Using real-world data examples, this authoritative book shows how to use the latest configural frequency analysis (CFA) techniques to analyze categorical data. Some of the techniques are presented here for the first time. In contrast to such methods as log-linear modeling, which focus on relationships among variables, CFA allows researchers to evaluate differences and change at the level of individual cells in a table. Illustrated are ways to identify and test for cell configurations that are either consistent with or contrary to hypothesized patterns (the types and antitypes of CFA); control for potential covariates that might influence observed results; develop innovative prediction models...
This book presents a concise yet comprehensive survey of methods used in the expanding studies of human evolution, paying particular attention to new work on social evolution. The first part of the book presents principal methods for the study of biological, cultural, and social evolution, plus migration, group behavior, institutions, politics, and environment. The second part provides a chronological and analytical account of the development of these methods from 1850 to the present, showing how multidisciplinary rose to link physical, biological, ecological, and social sciences. The work is especially relevant for readers in history and social sciences but will be of interest to readers in biological and ecological fields who are interested in exploring a wide range of evolutionary studies.
The indispensable reference tool for the groundbreaking science of evolutionary psychology Why is the mind designed the way it is? How does input from the environment interact with the mind to produce behavior? These are the big, unanswered questions that the field of evolutionary psychology seeks to explore. The Handbook of Evolutionary Psychology is the seminal work in this vibrant, quickly-developing new discipline. In this thorough revision and expansion, luminaries in the field provide an in-depth exploration of the foundations of evolutionary psychology and explain the new empirical discoveries and theoretical developments that continue at a breathtaking pace. Evolutionary psychologist...
This book provides a comprehensive introduction to the theory and practice of diagnostic classification models (DCMs), which are useful for statistically driven diagnostic decision making. DCMs can be employed in a wide range of disciplines, including educational assessment and clinical psychology. For the first time in a single volume, the authors present the key conceptual underpinnings and methodological foundations for applying these models in practice. Specifically, they discuss a unified approach to DCMs, the mathematical structure of DCMs and their relationship to other latent variable models, and the implementation and estimation of DCMs using Mplus. The book's highly accessible lang...
This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual-level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical techniques they already know, Robert Bickel emphasizes the parallels with more familiar regression models, shows how to do multilevel modeling using SPSS, and demonstrates how to interpret the results. He discusses the strengths and limitations of multilevel analysis and explains specific circumstances in which it offers (or does not offer) methodological advantages over more traditional techniques. Over 300 dataset examples from research on educational achievement, income attainment, voting behavior, and other timely issues are presented in numbered procedural steps.