Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Testing is one of the most controversial of all state and federal educational policies. The effects of testing are quite ambiguous. The same test may lead to different consequences in different circumstances, and teachers may use very different strategies to prepare students for tests. Although most experts agree that mandatory testing leads to teaching to the test, they disagree about whether it leads to meaningless drill, wasted time, de-professionalizing teachers, and demotivating students, or to more challenging and thoughtful curricula, more engaging teaching, increased student mot

Educational tests and measurements --- Education --- Mathematics --- Science --- Standards

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Mathematics --- Mathematical ability --- Urban schools --- Educational tests and measurements --- Study and teaching (Elementary) --- Evaluation. --- Testing --- NAEP Trial Urban District Assessment.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The testing of intelligence has a long and controversial history. Claims that it is a pseudo-science or a weapon of ideological warfare have been commonplace and there is not even a consensus as to whether intelligence exists and, if it does, whether it can be measured. As a result the debate about it has centred on the nurture versus nature controversy and especially on alleged racial differences and the heritability of intelligence - all of which have major policy implications. This book aims to penetrate the mists of controversy, ideology and prejudice by providing a clear non-mathematical framework for the definition and measurement of intelligence derived from modern factor analysis. Building on this framework and drawing on everyday ideas the author address key controversies in a clear and accessible style and explores some of the claims made by well known writers in the field such as Stephen Jay Gould and Michael Howe.

Intelligence tests. --- Psychological tests. --- Mental tests --- Psychological assessment --- Tests, Psychological --- Psychology --- Testing --- Clinical psychology --- Educational tests and measurements --- Intelligence levels --- Intelligence testing --- IQ tests --- Psychological tests --- Methodology --- Health Sciences --- Psychiatry & Psychology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Education --- Educational tests and measurements. --- Educational assessment --- Educational measurements --- Mental tests --- Tests and measurements in education --- Psychological tests for children --- Psychometrics --- Students --- Examinations --- Psychological tests --- Children --- Education, Primitive --- Education of children --- Human resource development --- Instruction --- Pedagogy --- Schooling --- Youth --- Civilization --- Learning and scholarship --- Mental discipline --- Schools --- Teaching --- Training --- Research --- Methodology. --- Rating of --- #PBIB:2005.1 --- Research&delete& --- Methodology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. The new framework allows the domain of item response models to be co-ordinated and broadened to emphasize their explanatory uses beyond their standard descriptive uses. The basic explanatory principle is that item responses can be modeled as a function of predictors of various kinds. The predictors can be (a) characteristics of items, of persons, and of combinations of persons and items; (b) observed or latent (of either items or persons); and they can be (c) latent continuous or latent categorical. In this way a broad range of models is generated, including a wide range of extant item response models as well as some new ones. Within this range, models with explanatory predictors are given special attention in this book, but we also discuss descriptive models. Note that the term "item responses" does not just refer to the traditional "test data," but are broadly conceived as categorical data from a repeated observations design. Hence, data from studies with repeated observations experimental designs, or with longitudinal designs, may also be modelled. The book starts with a four-chapter section containing an introduction to the framework. The remaining chapters describe models for ordered-category data, multilevel models, models for differential item functioning, multidimensional models, models for local item dependency, and mixture models. It also includes a chapter on the statistical background and one on useful software. In order to make the task easier for the reader, a unified approach to notation and model description is followed throughout the chapters, and a single data set is used in most examples to make it easier to see how the many models are related. For all major examples, computer commands from the SAS package are provided that can be used to estimate the results for each model. In addition, sample commands are provided for other major computer packages. Paul De Boeck is Professor of Psychology at K.U. Leuven (Belgium), and Mark Wilson is Professor of Education at UC Berkeley (USA). They are also co-editors (along with Pamela Moss) of a new journal entitled Measurement: Interdisciplinary Research and Perspectives. The chapter authors are members of a collaborative group of psychometricians and statisticians centered on K.U. Leuven and UC Berkeley.

Quantitative methods in social research --- Mathematical statistics --- #PBIB:2005.1 --- Academic collection --- 303.7 --- Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- 303.7 Analysetechnieken. Statistische analyse --(sociaal onderzoek) --- Item response theory --- Psychometrics --- Social sciences --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Educational tests and measurements --- Statistics&delete& --- Databases --- Measurement --- Scaling --- Methodology --- Statistics . --- Assessment. --- Psychometrics. --- Statistics for Social Sciences, Humanities, Law. --- Assessment, Testing and Evaluation. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Statistics