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Psychological Science and the Law, Brewer Neil, Douglass Amy Bradfield


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Цена: 58170.00T
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в Мои желания

Автор: Brewer Neil, Douglass Amy Bradfield
Название:  Psychological Science and the Law
ISBN: 9781462538300
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1462538304
Обложка/Формат: Hardcover
Страницы: 459
Вес: 0.77 кг.
Дата издания: 05.04.2019
Язык: English
Размер: 167 x 243 x 26
Читательская аудитория: General (us: trade)
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Поставляется из: Европейский союз
Описание: Psychological research can provide constructive explanations of key problems in the criminal justice system--and can help generate solutions. This state-of-the-art text dissects the psychological processes associated with fundamental legal questions: Is a suspect lying? Will an incarcerated individual be dangerous in the future?

Applied Meta-Analysis for Social Science Research

Автор: Card Noel A.
Название: Applied Meta-Analysis for Social Science Research
ISBN: 1462525008 ISBN-13(EAN): 9781462525003
Издательство: Taylor&Francis
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Цена: 44910.00 T
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Описание:

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.


Hypothesis Testing and Model Selection in the Social Sciences

Автор: Weakliem David L.
Название: Hypothesis Testing and Model Selection in the Social Sciences
ISBN: 1462525652 ISBN-13(EAN): 9781462525652
Издательство: Taylor&Francis
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Цена: 58170.00 T
Наличие на складе: Невозможна поставка.
Описание: Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples. It systematically compares classical (frequentist) and Bayesian approaches, showing how they are applied, exploring ways to reconcile the differences between them, and evaluating key controversies and criticisms. The book also addresses the role of hypothesis testing in the evaluation of theories, the relationship between hypothesis tests and confidence intervals, and the role of prior knowledge in Bayesian estimation and Bayesian hypothesis testing. Two easily calculated alternatives to standard hypothesis tests are discussed in depth: the Akaike information criterion (AIC) and Bayesian information criterion (BIC). The companion website ([ital]www.guilford.com/weakliem-materials[/ital]) supplies data and syntax files for the book`s examples.

Psychometric Methods: Theory Into Practice

Автор: Price Larry R.
Название: Psychometric Methods: Theory Into Practice
ISBN: 146252477X ISBN-13(EAN): 9781462524778
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoint slides of figures and key concepts. Pedagogical features include equation boxes with explanations of statistical notation, and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code from SAS, SPSS, IRTPRO, BILOG-MG, PARSCALE, TESTFACT, and DIMTEST.

Introduction to the New Statistics

Автор: Cumming, Geoff.
Название: Introduction to the New Statistics
ISBN: 1138825522 ISBN-13(EAN): 9781138825529
Издательство: Taylor&Francis
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Цена: 66340.00 T
Наличие на складе: Нет в наличии.
Описание: This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.

Regression Analysis and Linear Models: Concepts, Applications, and Implementation

Автор: Darlington Richard B., Hayes Andrew F.
Название: Regression Analysis and Linear Models: Concepts, Applications, and Implementation
ISBN: 1462521134 ISBN-13(EAN): 9781462521135
Издательство: Taylor&Francis
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Цена: 83690.00 T
Наличие на складе: Невозможна поставка.
Описание: Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book`s examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable`s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Survey Scales: A Guide to Development, Analysis, and Reporting

Автор: Johnson Robert L., Morgan Grant B.
Название: Survey Scales: A Guide to Development, Analysis, and Reporting
ISBN: 1462526969 ISBN-13(EAN): 9781462526963
Издательство: Taylor&Francis
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Цена: 43890.00 T
Наличие на складе: Невозможна поставка.
Описание: Synthesizing the literature from the survey and measurement fields, this book explains how to develop closed-response survey scales that will accurately capture such constructs as attitudes, beliefs, or behaviors. It provides guidelines to help applied researchers or graduate students review existing scales for possible adoption or adaptation in a study; create their own conceptual framework for a scale; write checklists, true-false variations, and Likert-style items; design response scales; examine validity and reliability; conduct a factor analysis; and document the instrument development and its technical quality. Advice is given on constructing tables and graphs to report survey scale results. Concepts and procedures are illustrated with "Not This/But This" examples from multiple disciplines.

User-Friendly Features
*End-of-chapter exercises with sample solutions, plus annotated suggestions for further reading.
*"Not This/But This" examples of poorly written and strong survey items.
*Chapter-opening overviews and within-chapter summaries.
*Glossary of key concepts.
*Appendix with examples of parametric and nonparametric procedures for group comparisons.

The CIPP Evaluation Model: How to Evaluate for Improvement and Accountability

Автор: Stufflebeam Daniel L., Zhang Guili
Название: The CIPP Evaluation Model: How to Evaluate for Improvement and Accountability
ISBN: 1462529232 ISBN-13(EAN): 9781462529230
Издательство: Taylor&Francis
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Цена: 58170.00 T
Наличие на складе: Невозможна поставка.
Описание: The authoritative presentation of a leading evaluation approach, this book describes the CIPP (Context, Input, Process, and Product) Model's origin, concepts, and procedures. Unlike many models, CIPP provides for feedback throughout a program. Richly illustrated with evaluation cases, the book covers methods for engaging stakeholders; designing, budgeting, and contracting evaluations; collecting, analyzing, and reporting information; and conducting metaevaluations. User-friendly features include 26 reproducible checklists and forms and references to relevant computer programs. Purchasers get access to a companion website where they can download and print the reproducible tools as well as supplementary materials, including the CIPP Evaluation Model Checklist.

User-Friendly Features
*Introduction boxes providing an overview of each chapter.
*Within-chapter recaps of key concepts.
*End-of-chapter review questions and exercises.
*End-of-book glossary.
*Appendix listing hundreds of CIPP evaluations across disciplines.

Statistical Analysis of Contingency Tables

Автор: Morten Fagerland
Название: Statistical Analysis of Contingency Tables
ISBN: 1466588179 ISBN-13(EAN): 9781466588172
Издательство: Taylor&Francis
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Цена: 107190.00 T
Наличие на складе: Нет в наличии.
Описание: This book is an invaluable tool for statistical inference in contingency tables. It covers effect size estimation, confidence intervals, and hypothesis tests for the binomial and the multinomial distributions, unpaired and paired 2x2 tables, rxc tables, ordered rx2 and 2xc tables, paired cxc tables, and stratified tables.

Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R

Автор: Stanton Jeffrey M.
Название: Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R
ISBN: 1462530265 ISBN-13(EAN): 9781462530267
Издательство: Taylor&Francis
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Цена: 43890.00 T
Наличие на складе: Нет в наличии.
Описание: Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.

Pedagogical Features
*Playful, conversational style and gradual approach; suitable for students without strong math backgrounds.
*End-of-chapter exercises based on real data supplied in the free R package.
*Technical explanation and equation/output boxes.
*Appendices on how to install R and work with the sample datasets.

Scientific method

Автор: Staddon, John
Название: Scientific method
ISBN: 1138295361 ISBN-13(EAN): 9781138295360
Издательство: Taylor&Francis
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Цена: 54090.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Scientific Method demonstrates, through concrete historical examples, the ways in which scientific method is practiced in a range of social science fields.

Scientific Writing for Psychology: Lessons in Clarity and Style

Автор: Kail Robert V.
Название: Scientific Writing for Psychology: Lessons in Clarity and Style
ISBN: 1544309627 ISBN-13(EAN): 9781544309620
Издательство: Sage Publications
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Цена: 39060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the  Second Edition  of  Scientific Writing for Psychology ,  veteran teacher, editor and author, Robert V. Kail provides straightforward strategies along with hands-on exercises for effective scientific writing in a series of seven lessons. Kail shares an abundance of writing wisdom with “tools of the trade”—heuristics, tips, and strategies—used by expert authors to produce writing that is clear, concise, cohesive, and compelling. The exercises included throughout each extensively class-tested lesson allow students to practice and ultimately master their scientific writing skills.  

The Cambridge Handbook of Social Representations

Автор: Gordon Sammut, et al.
Название: The Cambridge Handbook of Social Representations
ISBN: 1316635686 ISBN-13(EAN): 9781316635681
Издательство: Cambridge Academ
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Цена: 64410.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This Handbook provides the theoretical and methodological tools for adopting a social representations approach in field research. Scholars, researchers and students in the social sciences will find it an invaluable resource for understanding contemporary social psychological concerns such as the development of identities, communities and narratives.


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