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Author: Agnes N. O'Connell
Publisher: Psychology Press
ISBN: 1317785908
Category : Psychology
Languages : en
Pages : 395
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Book Description
Providing role models of excellence for contemporary women and men and contributing to the understanding of the educational and career development of high achieving women, these autobiographical essays of seventeen women and their achievements generate a deeper appreciation of the vital role of women in the development of contemporary psychology.
Author: Agnes N. O'Connell
Publisher: Psychology Press
ISBN: 1317785908
Category : Psychology
Languages : en
Pages : 395
Get Book Here
Book Description
Providing role models of excellence for contemporary women and men and contributing to the understanding of the educational and career development of high achieving women, these autobiographical essays of seventeen women and their achievements generate a deeper appreciation of the vital role of women in the development of contemporary psychology.
Author: Agnes N. O'Connell
Publisher:
ISBN:
Category : Biography & Autobiography
Languages : en
Pages : 360
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Book Description
This important book is intended to preserve historically the contributions of women to the field of psychology and to help redress the lack of female role models and the concomitant isolation of women professionals. Seventeen autobiographical essays, all rich in detail and lively in experience, portray the tremendous persistence in the face of obstacles, the willingness to take risks and seek new experiences and directions, and the critical importance of social and professional networks for these women. The book provides an introductory analysis by Nancy Felipe Russo which considers the social and historical context of the times in which these women pursued their careers. It concludes with a chapter by Agnes N. O'Connell which analyzes the similarities and differences among the women. Tables summarize such topics as demographic variables, educational backgrounds, professional positions, and barriers and coping strategies evolved over the years. -- From publisher's description.
Author: Steve Ventura
Publisher: ASCD
ISBN: 1416631208
Category : Education
Languages : en
Pages : 166
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Book Description
What if you had a collaborative process of looking at student data that could pinpoint student gaps in learning and suggest effective strategies to close those gaps? What if you knew not only what you should start doing to enhance student learning, but also what you should stop doing because it hasn't given you the hoped-for results? Enter Achievement Teams. This is not another program that's here today and gone tomorrow; it's a timeless approach that any school or district can replicate that focuses on the most significant variable in student achievement: teaching. In Achievement Teams, Steve Ventura and Michelle Ventura offer a framework based on John Hattie's Visible Learning research that makes teacher collaboration more efficient, rigorous, satisfying, and effective. Think of it as a systematic treasure hunt for best practices using real data on your students. The authors walk you through the Achievement Teams four-step meeting protocol: * In Step 1, teams focus on the evidence from a pre-assessment to provide specific feedback to students and teachers about concepts and skills that students did and did not learn. * In Step 2, teams use that evidence to establish SMART goals for both teachers and students. * In Step 3, teams summarize the collected data and make inferences around students' mastery levels. * In Step 4, teachers select high-impact strategies directly targeted to student needs. A post-assessment reveals what did and didn't work. The authors provide a plethora of resources along the way, including reflection activities to extend your thinking and a variety of helpful downloadable templates designed to facilitate the work. If you're a teacher or leader who is interested in maximizing student achievement, this book is for you.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Agnes N. O'Connell
Publisher: Psychology Press
ISBN: 1135659206
Category : Psychology
Languages : en
Pages : 409
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Book Description
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.
Author: Martha Mary Carr
Publisher:
ISBN:
Category : Achievement motivation in children
Languages : en
Pages : 226
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Book Description
Author: John L. Phillips
Publisher:
ISBN:
Category : Achievement motivation in children
Languages : en
Pages : 449
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Book Description
Author: M. Kay Alderman
Publisher: Routledge
ISBN: 1136769803
Category : Education
Languages : en
Pages : 361
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Book Description
Understanding student and teacher motivation and developing strategies to foster motivation for students at all levels of performance are essential to effective teaching. This text is designed to help prospective and practicing teachers achieve these goals. Its premise is that current research and theory about motivation offer hope and possibilities for educators —teachers, parents, coaches, and administrators—to enhance motivation for achievement. The orientation draws primarily on social-cognitive perspectives that have generated much research relevant to classroom practice. Ideal for any course that is dedicated to, or includes coverage of, motivation and achievement, the text focuses on two key roles teachers play in supporting and cultivating motivation in the classroom: establishing the classroom structure and instruction that provides the environment for optimal motivation, engagement, and learning; and helping students develop the tools that will enable them to be self-regulated learners and develop their potential. Pedagogical features aid the understanding of concepts and the application to practice: Strategy boxes present guidelines and strategies for using the various concepts. Exhibit boxes include forms for different purposes (for example, goal setting), examples of teacher beliefs and practices, and samples of student work. Reflection boxes stimulate readers’ thinking about motivational issues inherent in the topics, their experiences, and their beliefs. A motivational toolbox at the end of each chapter helps readers identify important points to think about, lingering questions, strategies to use now, and strategies to develop in the future. NEW IN THE THIRD EDITION Updated research and new topics are added throughout as warranted by current inquiry in the field. Chapters are reorganized to provide more coherence and to account for new findings. New and updated material is included on issues of educational reform, standards for achievement, and high-stakes testing, and on achievement goal theory, especially regarding performance goals and the distinction between performance-approach and performance-avoidance goals as relevant to classroom practice.
Author: Richard M. Lerner
Publisher: Routledge
ISBN: 1134828101
Category : Psychology
Languages : en
Pages : 377
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Book Description
This volume focuses on concepts central to the understanding of the key features of individuality which undergo significant transformations throughout the adolescent period: Personality, self, and ego. While rooted in distinct theoretical traditions, these three concepts, in combination, capture the core aspects of the formation of the individual's unique sense of self or identity, a psychosocial development fundamentally associated with adolescence. Consistent with the developmental-systems models of person-context relations at the forefront of current human development theory and research, the articles within this volume focus on the dynamic, reciprocal relations between youth and key socializing agents within their ecologies. Nevertheless, the articles represented in this volume illustrate that when attempting to understand the development of personality- and self-systems, scholars differ in the extent to which they place primary emphasis on the individual, on the context, or on the relationship between the two.
Author: W. Holmes Finch
Publisher: Routledge
ISBN: 1317970764
Category : Psychology
Languages : en
Pages : 341
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Book Description
This book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting the analyses is described along with the resulting output which provides readers with a template to follow when they apply the methods to their own data. The basic information pertinent to each model, the newest developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested readings. A glossary of the text’s boldfaced key terms and key R commands serve as helpful resources. The book is accompanied by a website with exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data providing a more realistic situation readers will encounter with their own data. -Reviews a wide range of LVMs including factor analysis, structural equation modeling, item response theory, and mixture models and advanced topics such as fitting nonlinear structural equation models, nonparametric item response theory models, and mixture regression models. -Demonstrates how data simulation can help researchers better understand statistical methods and assist in selecting the necessary sample size prior to collecting data. -www.routledge.com/9780415832458 provides exercises that apply the models along with annotated R output answer keys and the data that corresponds to the in-text examples so readers can replicate the results and check their work. The book opens with basic instructions in how to use R to read data, download functions, and conduct basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor analysis (CFA), structural equation modeling (SEM), multiple groups CFA/SEM, least squares estimation, growth curve models, mixture models, item response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. The book concludes with a discussion of how data simulation can be used to better understand the workings of a statistical method and assist researchers in deciding on the necessary sample size prior to collecting data. A mixture of independently developed R code along with available libraries for simulating latent models in R are provided so readers can use these simulations to analyze data using the methods introduced in the previous chapters. Intended for use in graduate or advanced undergraduate courses in latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, and social and health sciences, researchers in these fields also appreciate this book’s practical approach. The book provides sufficient conceptual background information to serve as a standalone text. Familiarity with basic statistical concepts is assumed but basic knowledge of R is not.
