* a chapter covering power analysis in set correlation and multivariate methods;
* a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;
* expanded power and sample size tables for multiple regression/correlation.
The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .
Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
This edition discusses the concepts and types of power analysis, t test for means, significance of a product moment rs, and differences between correlation coefficients. The test that a proportion is .50 and sign test, differences between proportions, and chi-square tests for goodness of fit and contingency tables are also elaborated. This text likewise covers the F tests of variance proportions in multiple regression/correlation analysis and computational procedures.
This publication is intended for behavioral and biosocial scientists who use statistical inference, but also serves as a supplementary textbook for intermediate level courses in applied statistics in behavioral/biosocial science.
Despite the considerable amount of attention given in the popular press and among social critics and politicians, values have been relatively neglected as a topic of empirical research in this country. To fill the void, this work uses data from a large cohort of young people who have been studied longitudinally since early childhood to elucidate three aspects of life goals and values:
* What are the demographic, family, peer, school, and intrapersonal influences that shape values and life goals of adolescents?
* How do they change over the course of adolescence?
* What impact do these values have on the lives of adolescents and young adults?
Decisions about what we find most admirable and which of the many apparently good things in life we will take on as our top priorities are consequential both for the contemporary and for the future emotional and behavioral well-being of the individual. Thus, this book explores systematically the environmental origins of ideals and values, using deprivation and attainment hypotheses to examine a variety of influences on the development of differences in values. This book also examines the relationship between the measures of children's values and psychopathology, examining both the "Axis 1" diagnosis, including disruptive behavior disorders, depression, and anxiety, and the "Axis 2" personality disorders.
Providing an extensive study of the life values of adolescents and the state of their mental health, this monograph will be of interest to developmental psychologists specializing in adolescence, child clinical psychologists, and psychiatrists.
Organized into three parts encompassing 16 chapters, this book begins with an overview of the rationale upon which much of behavioral science research is based, namely, drawing inferences about a population based on data obtained from a sample. This text then examines the primary goal of descriptive statistics to bring order out of chaos. Other chapters consider the concept of variability and its applications. This book discusses as well the essential characteristics of a group of scores. The final chapter deals with the chi-square analysis.
This book is a valuable resource for students of statistics as well as for undergraduates majoring in psychology, sociology, and education.