Journal of Educational and Behavioral Statistics PDF Download

Author:
Publisher:
ISBN:
Category : Child psychology
Languages : en
Pages : 516

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Author: Betsy Jane Becker
Publisher:
ISBN:
Category :
Languages : en
Pages : 90

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Author: Bruce Thompson
Publisher: Guilford Press
ISBN: 1609180984
Category : Psychology
Languages : en
Pages : 471

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Book Description
With humor, extraordinary clarity, and carefully paced explanations and examples, Bruce Thompson shows readers how to use the latest techniques for interpreting research outcomes as well as how to make statistical decisions that result in better research. Utilizing the general linear model to demonstrate how different statistical methods are related to each other, Thompson integrates a broad array of methods involving only a single dependent variable, ranging from classical and robust location descriptive statistics, through effect sizes, and on through ANOVA, multiple regression, loglinear analysis and logistic regression. Special features include SPSS and Excel demonstrations that offer opportunities, in the book’s datasets and on Thompson’s website, for further exploration of statistical dynamics.

Author: Frederick J. Gravetter
Publisher: Wadsworth Publishing Company
ISBN: 9780314068064
Category : Educational statistics
Languages : en
Pages : 0

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Book Description
This best-selling introductory statistics text is designed for courses in psychological and educational statistics and is written in an intuitive, explanatory style. New to this edition: In the Literature sections help students learn how to report statistics and results; as well as learn how to read and interpret scientific journals. The Minitab chapter has been removed; it is now a separate supplement for those who wish to cover it.

Author: Paola Monari
Publisher: Springer Science & Business Media
ISBN: 3790823856
Category : Social Science
Languages : en
Pages : 255

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The book presents statistical methods and models that can usefully support the ev- uation of educational services and quality of products. The contributions collected in this book summarize the work of several researchers from the universities of Bologna, Firenze, Napoli and Padova. The contributions are written with a cons- tent notation and a uni?ed view, and concern methodological advances developed mostly with reference to speci?c problems of evaluation using real data sets. The evaluation of educational services, as well as the analysis of judgements and preferences, poses severe methodological challenges because of the presence of one or more of the following aspects: the observational (non experimental) nature of the context, which is associated with the well-known problems of selection bias and presence of nuisance factors; the hierarchical structure of the data, that entails c- related observations and consideration of effects at different levels of the hierarchy and their interactions (multilevel analysis); the multivariate and qualitative nature of the dependent variable, that requires the use of ad hoc statistical methodologies; the presence of non observable factors, e. g. the satisfaction, calling for the use of latent variables models; the simultaneous presence of components of pleasure and components of uncertainty in the explication of the judgments, that asks for the speci?cation and estimation of mixture models. The ?rst part of the book deals with latent variable models.

Author: Yaacov Petscher
Publisher: Routledge
ISBN: 113626633X
Category : Education
Languages : en
Pages : 389

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Book Description
To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting.

Author: Katherine Ryan
Publisher: Routledge
ISBN: 1135590885
Category : Education
Languages : en
Pages : 331

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In recent decades testing has become a much more visible and high-stakes accountability mechanism that is now seen as a powerful tool that can be used to drive school improvement. The purpose of this book is to identify and analyze the key issues associated with test-based educational accountability and to chart the future of educational accountability research. Chapter contributions are intended to be forward looking rather than a compendium of what has happened in the past. The book provides an accessible discussion of issues such as validity, test equating, growth modeling, fairness for special populations, causal inferences, and misuses of accountability data.

Author: Wim J. van der Linden
Publisher: CRC Press
ISBN: 1315362813
Category : Mathematics
Languages : en
Pages : 454

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Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.

Author: Steven P. Reise
Publisher: Psychology Press
ISBN: 1135655367
Category : Mathematics
Languages : en
Pages : 276

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This book appeals to researchers who work with nested data structures or repeated measures data, including biomed & health researchers, clinical/intervention researchers and developmental & educational psychologists. Also some potential as a grad lvl tex

Author: Howard E.A. Tinsley
Publisher: Academic Press
ISBN: 0080533566
Category : Mathematics
Languages : en
Pages : 751

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Book Description
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.