This outstanding book contains inspiring stories of late 20th century women who broke new ground in psychological knowledge and its applications. The lives and careers of 53 women are examined within social and historical contexts using three levels of analysis--the individual, the group, and the universal. The thoughtful autobiographies and the perceptive, integrative analyses increase understanding of the personal and professional development of these women, provide insights into their patterns of achievement, and illuminate new ways of thinking about and perceiving women. This extraordinary book is a valuable resource for libraries and researchers, provides knowledge and inspiration for a wide range of readers, and is an excellent supplementary text for courses in the psychology of women, history of psychology, lifespan development, career development, and women's studies.

First Published in 2010. Routledge is an imprint of Taylor & Francis, an informa company.

Significantly revised, the fifth edition of the most complete, accessible text now covers all three approaches to structural equation modeling (SEM)--covariance-based SEM, nonparametric SEM (Pearl’s structural causal model), and composite SEM (partial least squares path modeling). With increased emphasis on freely available software tools such as the R lavaan package, the text uses data examples from multiple disciplines to provide a comprehensive understanding of all phases of SEM--what to know, best practices, and pitfalls to avoid. It includes exercises with answers, rules to remember, topic boxes, and a new self-test on significance testing, regression, and psychometrics. The companion website supplies helpful primers on these topics as well as data, syntax, and output for the book's examples, in files that can be opened with any basic text editor. New to This Edition *Chapters on composite SEM, also called partial least squares path modeling or variance-based SEM; conducting SEM analyses in small samples; and recent developments in mediation analysis. *Coverage of new reporting standards for SEM analyses; piecewise SEM, also called confirmatory path analysis; comparing alternative models fitted to the same data; and issues in multiple-group SEM. *Extended tutorials on techniques for dealing with missing data in SEM and instrumental variable methods to deal with confounding of target causal effects. Pedagogical Features *New self-test of knowledge about background topics (significance testing, regression, and psychometrics) with scoring key and online primers. *End-of-chapter suggestions for further reading and exercises with answers. *Troublesome examples from real data, with guidance for handling typical problems in analyses. *Topic boxes on special issues and boxed rules to remember. *Website promoting a learn-by-doing approach, including data, extensively annotated syntax, and output files for all the book’s detailed examples.

Noted for its crystal clear explanations, this book is considered the most comprehensive introductory text to structural equation modeling (SEM). Noted for its thorough review of basic concepts and a wide variety of models, this book better prepares readers to apply SEM to a variety of research questions. Programming details and the use of algebra are kept to a minimum to help readers easily grasp the concepts so they can conduct their own analysis and critique related research. Featuring a greater emphasis on statistical power and model validation than other texts, each chapter features key concepts, examples from various disciplines, tables and figures, a summary, and exercises. Highlights of the extensively revised 4th edition include: -Uses different SEM software (not just Lisrel) including Amos, EQS, LISREL, Mplus, and R to demonstrate applications. -Detailed introduction to the statistical methods related to SEM including correlation, regression, and factor analysis to maximize understanding (Chs. 1 – 6). -The 5 step approach to modeling data (specification, identification, estimation, testing, and modification) is now covered in more detail and prior to the modeling chapters to provide a more coherent view of how to create models and interpret results (ch. 7). -More discussion of hypothesis testing, power, sampling, effect sizes, and model fit, critical topics for beginning modelers (ch. 7). - Each model chapter now focuses on one technique to enhance understanding by providing more description, assumptions, and interpretation of results, and an exercise related to analysis and output (Chs. 8 -15). -The use of SPSS AMOS diagrams to describe the theoretical models. -The key features of each of the software packages (Ch. 1). -Guidelines for reporting SEM research (Ch. 16). -www.routledge.com/9781138811935 which provides access to data sets that can be used with any program, links to other SEM examples, related readings, and journal articles, and more. Reorganized, the new edition begins with a more detailed introduction to SEM including the various software packages available, followed by chapters on data entry and editing, and correlation which is critical to understanding how missing data, non-normality, measurement, and restriction of range in scores affects SEM analysis. Multiple regression, path, and factor models are then reviewed and exploratory and confirmatory factor analysis is introduced. These chapters demonstrate how observed variables share variance in defining a latent variables and introduce how measurement error can be removed from observed variables. Chapter 7 details the 5 SEM modeling steps including model specification, identification, estimation, testing, and modification along with a discussion of hypothesis testing and the related issues of power, and sample and effect sizes.Chapters 8 to 15 provide comprehensive introductions to different SEM models including Multiple Group, Second-Order CFA, Dynamic Factor, Multiple-Indicator Multiple-Cause, Mixed Variable and Mixture, Multi-Level, Latent Growth, and SEM Interaction Models. Each of the 5 SEM modeling steps is explained for each model along with an application. Chapter exercises provide practice with and enhance understanding of the analysis of each model. The book concludes with a review of SEM guidelines for reporting research. Designed for introductory graduate courses in structural equation modeling, factor analysis, advanced, multivariate, or applied statistics, quantitative techniques, or statistics II taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. Prerequisites include an introduction to intermediate statistics that covers correlation and regression principles.

"A wonderful tool for administrators and teachers that offers child-centered resources and ideas to help our learners succeed, thereby making our classrooms more effective. I especially love the sample behavior reports, progress monitoring charts, and the self-monitoring chart. Helping students see that they are responsible for their actions and making them partners in their education are effective practices." —Megan M. Allen, Fourth-Grade Teacher Cleveland Elementary School, Tampa, FL Prevention is the key to a successful school behavior plan! In today′s increasingly diverse PreK–12 classrooms, problem behaviors can often interrupt instructional time and disrupt learning. Designed for 21st-century school leaders, administrators, behavior specialists, and classroom teachers, this research-based guide offers specific strategies and plans for preventing problem behavior at both the classroom and school level. Based on the premise that early response to problems can lead to better outcomes for students, the book′s content is framed around four essential areas: foundations, intervention, collaboration, and evaluation. Within these areas, this accessible guide features: The latest information on the science and practice of prevention Reasons why conflict resolution, peer mediation, and bully-proofing are essential to prevention Effective practices for teaching social skills to young children Proven techniques for implementing schoolwide positive behavior support Tools for using individual behavior plans to prevent problems Ideas for home-school and community partnerships and culturally responsible teaching Critical strategies for monitoring student progress and evaluating prevention practices New, updated chapters, including information on preschool behavior support and RTI This valuable resource provides all the tools and strategies school leaders and teachers need to keep children focused on learning.

This volume of The Handbook of Research in Middle Level Education is a significant contribution to the literature on middle level schools because it is written specifically with policymakers in mind. Middle level scholars have illuminated the most important issues concerning the education of young adolescents of which policymakers must be knowledgeable. It is only by having informed policymakers that middle level schools can truly thrive and provide the kind of education that every young adolescent deserves. The future of our country depends on it.

This definitive handbook is now in an extensively revised third edition with many all-new chapters and new topics. Leading authorities present cutting-edge knowledge about how and why people try to regulate their emotions, the consequences of different regulatory strategies, and interventions to enhance this key area of functioning. The biological, cognitive, developmental, and social bases of emotion regulation are explored. The volume identifies critical implications of emotion regulation for mental and physical health, psychopathology, educational achievement, prosocial behavior, and other domains. Clinical and nonclinical interventions are critically reviewed and state-of-the-art measurement approaches described. New to This Edition *Broader coverage to bring readers up to speed on the ever-growing literature--features 71 concise chapters, compared to 36 in the prior edition. *Reflects a decade of continuing, rapid advances in theory and research methods. *New sections on emotion regulation in groups and collectives, specific emotion regulation processes, nonclinical interventions, and emotion regulation across disciplines. *Increased attention to the role of emotion regulation in culture, and broader societal issues.

The comparative effectiveness of schools in developing countries has become the center of a lively debate. Of particular concern is the appropriate analytic method to employ when examing school effects. This paper uses a multi-level approach to examine determinants of growth in grade 8 mathematics achievement in Thailand. Results of the analysis showed that schools in Thailand were equally effective in transforming pretest scores into posttest scores, and that schools and classrooms contributed 32 percent of the variance in posttest scores. Higher levels of achievement were associated with a higher proportion of teachers qualified to teach mathematics, an enriched curriculum and frequent use of textbooks by teachers. Individual characteristics, however, contributed 68 percent of the variance, with achievement higher for boys, younger students, and children with higher educational aspirations. The model developed in the paper was able to explain most of the between school variance, but significantly less of the within school variance. The implication of these results is that schools in Thailand are much more uniform in their effects than previous research in developing countries would have suggested.

The EFQM Excellence Model was introduced at the beginning of 1992 as the framework for assessing organizations for the annual European Excellence Award . It is now the most widely used organizational assessment framework in Europe. Most users have no intention of applying to win awards; they use the framework and analysis techniques within the model as diagnostic tools that will help them to: assess the health of their organization, identify its strengths and areas for improvement and periodically measure progress identify and share good management practices, both internally and externally anticipate and target their desired results in tangible, measurable ways Whether you are a newcomer to the Excellence Model, or an experienced user (whose techniques of performance assessment maybe rigorous but have possibly evolved to become overly complex), this Management Guide provides you with practical techniques to undertake timely and effective assessments. It explains the history, basis and evolution of the EFQM Excellence Model, the nature of EFQM and its networks today, and, most importantly, provides step-by-step guidance, together with a series of analysis pro-formas, to enable readers to facilitate an assessment of an organization against each of the 32 elements ( criterion parts ) of the EFQM Excellence Model.

Colin Rogers and Peter Kutnick reassess the role of social psychology in educational practice for the primary classroom. They offer an analysis of the ways in which the process and structure of classroom life affect the interpersonal and academic outcomes of schooling. Social schooling is seen to have a crucial role to play in achieving effective t