M. E. Lamb – författare

First published in 1981. This volume is the first of a new a new series designed, as the name implies, to survey in thoughtful detail important new strides in developmental psychology. In selecting the chapters to appear in this volume, the authors first identified those researchers whose recent work has provided or promises to provide new understanding of the processes and course of development across the life span. Each of the researchers so identified was then invited to prepare a manuscript describing the research and its theoretical implications. As a result, the chapters present exceptionally valuable perspectives on those aspects of developmental psychology exhibiting significant recent progress.

First published in 1982. Since the emergence of developmental psychology early this century, theorists and researchers have emphasized the family’s role in shaping the child’s emergent social style, personality, and cognitive competence. In so doing, however, psychologists have implicitly adopted a fairly idiosyncratic definition of the family— one that focuses almost exclusively on parents and mostly on mothers. The realization that most families contain two parents and at least two children has occurred slowly, and has brought with it recognition that children develop in the context of a diverse network of social relationships within which each person may affect every other both directly (through their interactions) and indirectly (i.e., through A ’s effect on B, who in turn influences C). The family is such a social network, itself embedded in a broader network of relations with neighbors, relatives, and social institutions. Within the family, relationships among siblings have received little attention until fairly recently. In this volume, the goal is to review the existing empirical and theoretical literature concerning the nature and importance of sibling relationships.

First published in 1984. In the last two decades, countries throughout the Western world have witnessed dramatic changes in social attitudes concerning sex roles. The aim of this book is to review the evidence concerning: a) the factors that limit or constrain male involvement in child care; b) the ways in which some of these factors are being or might be changed; and c) the effects of traditional and increased paternal involvement on men, women, and children.

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues. The author begins by exploring the types and design of behavioral studies. He also explains how models are used in the analysis of data. After describing graphical methods, such as scatterplot matrices, the text covers simple linear regression, locally weighted regression, multiple linear regression, regression diagnostics, the equivalence of regression and ANOVA, the generalized linear model, and logistic regression. The author then discusses aspects of survival analysis, linear mixed effects models for longitudinal data, and the analysis of multivariate data. He also shows how to carry out principal components, factor, and cluster analyses. The final chapter presents approaches to analyzing multivariate observations from several different populations. Through real-life applications of statistical methodology, this book elucidates the implications of behavioral science studies for statistical analysis. It equips behavioral science students with enough statistical tools to help them succeed later on in their careers. Solutions to the problems as well as all R code and data sets for the examples are available at www.crcpress.com

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues. The author begins by exploring the types and design of behavioral studies. He also explains how models are used in the analysis of data. After describing graphical methods, such as scatterplot matrices, the text covers simple linear regression, locally weighted regression, multiple linear regression, regression diagnostics, the equivalence of regression and ANOVA, the generalized linear model, and logistic regression. The author then discusses aspects of survival analysis, linear mixed effects models for longitudinal data, and the analysis of multivariate data. He also shows how to carry out principal components, factor, and cluster analyses. The final chapter presents approaches to analyzing multivariate observations from several different populations. Through real-life applications of statistical methodology, this book elucidates the implications of behavioral science studies for statistical analysis. It equips behavioral science students with enough statistical tools to help them succeed later on in their careers. Solutions to the problems as well as all R code and data sets for the examples are available at www.crcpress.com

First published in 1981. This volume is the first of a new a new series designed, as the name implies, to survey in thoughtful detail important new strides in developmental psychology. In selecting the chapters to appear in this volume, the authors first identified those researchers whose recent work has provided or promises to provide new understanding of the processes and course of development across the life span. Each of the researchers so identified was then invited to prepare a manuscript describing the research and its theoretical implications. As a result, the chapters present exceptionally valuable perspectives on those aspects of developmental psychology exhibiting significant recent progress.

First published in 1981. This volume is the first of a new a new series designed, as the name implies, to survey in thoughtful detail important new strides in developmental psychology. In selecting the chapters to appear in this volume, the authors first identified those researchers whose recent work has provided or promises to provide new understanding of the processes and course of development across the life span. Each of the researchers so identified was then invited to prepare a manuscript describing the research and its theoretical implications. As a result, the chapters present exceptionally valuable perspectives on those aspects of developmental psychology exhibiting significant recent progress.

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers to real-life issues. The author begins by exploring the types and design of behavioral studies. He also explains how models are used in the analysis of data. After describing graphical methods, such as scatterplot matrices, the text covers simple linear regression, locally weighted regression, multiple linear regression, regression diagnostics, the equivalence of regression and ANOVA, the generalized linear model, and logistic regression. The author then discusses aspects of survival analysis, linear mixed effects models for longitudinal data, and the analysis of multivariate data. He also shows how to carry out principal components, factor, and cluster analyses. The final chapter presents approaches to analyzing multivariate observations from several different populations. Through real-life applications of statistical methodology, this book elucidates the implications of behavioral science studies for statistical analysis. It equips behavioral science students with enough statistical tools to help them succeed later on in their careers. Solutions to the problems as well as all R code and data sets for the examples are available at www.crcpress.com

First published in 1982. Since the emergence of developmental psychology early this century, theorists and researchers have emphasized the family’s role in shaping the child’s emergent social style, personality, and cognitive competence. In so doing, however, psychologists have implicitly adopted a fairly idiosyncratic definition of the family— one that focuses almost exclusively on parents and mostly on mothers. The realization that most families contain two parents and at least two children has occurred slowly, and has brought with it recognition that children develop in the context of a diverse network of social relationships within which each person may affect every other both directly (through their interactions) and indirectly (i.e., through A ’s effect on B, who in turn influences C). The family is such a social network, itself embedded in a broader network of relations with neighbors, relatives, and social institutions. Within the family, relationships among siblings have received little attention until fairly recently. In this volume, the goal is to review the existing empirical and theoretical literature concerning the nature and importance of sibling relationships.