Название: Psychological modeling ISBN: 0367626586 ISBN-13(EAN): 9780367626587 Издательство: Taylor&Francis Цена: 7195.00 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: The Classic Edition of this key text highlights seminal work done in the subject of learning by modeling and offers an extensive review of the major theories, edited by one of the most influential psychologists of his generation. In his introductory essay, Bandura identifies the most important controversial issues in the field of observational learning and reviews a large body of research findings, before carefully chosen articles, written by a team of expert contributors, tackle a range of key debates in the field. Topics explored include the role of reinforcement play in observational learning, the scope of modeling influences, the types of people most susceptible to modeling influences, and the relative effectiveness of models presented in live action, in pictorial presentations, or through verbal description. Written in a lively and engaging manner, this book will be of interest to all psychology students interested in psychological modeling, as well as educators and professionals working with children.
Автор: Heller, Steven Silver, Allison Название: 20th Century Alcohol & Tobacco Ads. 40th Ed. ISBN: 3836593718 ISBN-13(EAN): 9783836593717 Издательство: Taschen Рейтинг: Цена: 3321.00 р. Наличие на складе: Ожидается поступление.
Описание: In this collection of 20th century alcohol and tobacco ads, we see how the marketing of these products spanned from the elegant to the offbeat. Each era`s ads are captured with images that were once icons, from the Marlboro Man to Spuds MacKenzie. Explore advertising in a time when even doctors recommended smoking.
Автор: Nadel, Dan Smith, Zak Название: Fantastic worlds of Frank Frazetta ISBN: 3836579219 ISBN-13(EAN): 9783836579216 Издательство: Taschen Рейтинг: Цена: 19924.00 р. Наличие на складе: Есть (1 шт.) Описание: This book looks at advanced nanocomposites, introducing long-awaited concepts towards bridging the gap between nanostructured optical materials and next-generation imaging systems. It is the ideal guide both for optical engineers working towards integrating new technologies, and researchers involved with fundamental research on optical materials.
Автор: Usborne Название: ULBB The Twelve Days of Christmas ISBN: 1803702656 ISBN-13(EAN): 9781803702650 Издательство: Usborne Рейтинг: Цена: 791.00 р. Наличие на складе: Есть (3 шт.) Описание: On the first day of Christmas, my true love sent to me... Here are all twelve days of Christmas, from the festive rhyme, wonderfully illustrated by Violeta Dabija and full of extra details for little ones to spot. With online audio.
Автор: Morrison James Название: When Psychological Problems Mask Medical Disorders, Second Edition: A Guide for Psychotherapists ISBN: 1462521762 ISBN-13(EAN): 9781462521760 Издательство: Taylor&Francis Рейтинг: Цена: 4898.00 р. Наличие на складе: Есть (1 шт.) Описание: "Widely regarded as a standard clinical resource, this book helps practitioners think outside the mental health box and recognize when a client may urgently need a medical evaluation. Part I provides an accessible overview of symptoms that can be observed in a standard mental status examination and may point to medical illness. Engaging case vignettes and interviewing pointers help readers hone their diagnostic skills. Part II presents concise facts--including basic medical information and physical and mental symptoms--on more than 60 diseases and syndromes. An easy-to-read chart in Part III cross-tabulates all of the disorders and symptoms for quick reference and comparison. New to This Edition *Reflects more than 15 years of advances in medical and mental health knowledge. *Updated throughout for DSM-5. *Additional medical disorders: celiac disease, traumatic brain injury, heavy metal toxicity, and others. *Updated links to further reading on each health condition"--
Автор: McFadden, Freida Название: The Housemaid ISBN: 1538742578 ISBN-13(EAN): 9781538742570 Издательство: Hachette Book Group Рейтинг: Цена: 1792.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dont miss the USA Today bestseller and addictive psychological thriller with a jaw-dropping twist that's burning up Instagram--Freida McFadden's The Housemaid is perfect for fans of Ruth Ware, Lisa Jewell, and Verity.
';Welcome to the family,' Nina Winchester says as I shake her elegant, manicured hand. I smile politely, gazing around the marble hallway. Working here is my last chance to start fresh.
I can pretend to be whoever I like. But I'll soon learn that the Winchesters' secrets are far more dangerous than my own
Every day I clean the Winchesters' beautiful house top to bottom. I collect their daughter from school.
And I cook a delicious meal for the whole family before heading up to eat alone in my tiny room on the top floor.
I try to ignore how Nina makes a mess just to watch me clean it up. How she tells strange lies about her own daughter. And how her husband Andrew seems more broken every day.
But as I look into Andrew's handsome brown eyes, so full of pain, it's hard not to imagine what it would be like to live Nina's life. The walk-in closet, the fancy car, the perfect husband.
I only try on one of Nina's pristine white dresses once. Just to see what it's like.
But she soon finds out and by the time I realize my attic bedroom door only locks from the outside,it's far too late.
But I reassure myself:the Winchesters don't know who I really am.
Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter.
Written for non-mathematically-oriented readers, this text features:
A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data
An emphasis on how the terminology, interpretation, and estimationof familiar general linear models relates to those of more complex models for longitudinal data
Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers' understanding of the overall model-building process
Sample results sections for each example to provide useful templates for published reports
Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus at www.PilesOfVariance.com to help readers apply the models to their own data
The book opens with the building blocks of longitudinal analysis--general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.
Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book's accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.
Автор: Beaujean A Alexander Название: Latent Variable Modeling Using R: A Step By Step Guide ISBN: 1848726996 ISBN-13(EAN): 9781848726994 Издательство: Taylor&Francis Рейтинг: Цена: 7654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R.
Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate Rfunctions, packages, and datasets. The book and accompanying website at http: //blogs.baylor.edu/rlatentvariable/ provides all of the data for the book's examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values.
The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter's exercises.
Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.
Автор: American Psychological Association Название: Concise Guide to APA Style ISBN: 1433832739 ISBN-13(EAN): 9781433832734 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4012.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Concise Guide to APA Style, Seventh Edition is the official APA Style resource for students. Written for high school and undergraduate students, instructors, and writers learning APA Style, this easy-to-use pocket guide is adapted from the seventh edition of the Publication Manual of the American Psychological Association. It provides complete guidance for new writers on effective, clear, and inclusive scholarly communication and the essentials of formatting papers and other course assignments. The seventh edition has been thoroughly revised and updated to reflect best practices in scholarly writing and publishing. Full color throughout Content relevant to a range of majors and courses, including psychology, social work, criminal justice, communications, composition, education, business, engineering, and more New chapter focused on student papers Sample student title page, paper, and annotated bibliography Streamlined APA Style headings and in-text citations New chapter on writing style and grammar Chapters on punctuation, lists, italics, spelling, capitalization, abbreviations, numbers, and statistics Latest bias-free language guidelines More than 2 new sample tables and figures Comprehensive guidelines on citation to help writers credit their sources appropriately and avoid plagiarism and self-plagiarism More than new reference templates and examples, including traditional sources (e.g., journal articles, books, dissertations, and reports) plus many others (e.g., social media, webpages and websites, legal)
Автор: Beaujean A. Alexander Название: Latent Variable Modeling Using R: A Step-By-Step Guide ISBN: 1848726988 ISBN-13(EAN): 9781848726987 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a path model approach and focusing on the lavaan package, this book is designed to help readers quickly understand LVMs and their analysis in R. The author reviews the reasoning behind the syntax selected and provides examples that demonstrate how to analyze data for a variety of LVMs. Featuring examples applicable to psychology, education, business, and other social and health sciences, minimal text is devoted to theoretical underpinnings. The material is presented without the use of matrix algebra. As a whole the book prepares readers to write about and interpret LVM results they obtain in R.
Each chapter features background information, boldfaced key terms defined in the glossary, detailed interpretations of R output, descriptions of how to write the analysis of results for publication, a summary, R based practice exercises (with solutions included in the back of the book), and references and related readings. Margin notes help readers better understand LVMs and write their own R syntax. Examples using data from published work across a variety of disciplines demonstrate how to use R syntax for analyzing and interpreting results. R functions, syntax, and the corresponding results appear in gray boxes to help readers quickly locate this material. A unique index helps readers quickly locate Rfunctions, packages, and datasets. The book and accompanying website at http: //blogs.baylor.edu/rlatentvariable/ provides all of the data for the book's examples and exercises as well as R syntax so readers can replicate the analyses. The book reviews how to enter the data into R, specify the LVMs, and obtain and interpret the estimated parameter values.
The book opens with the fundamentals of using R including how to download the program, use functions, and enter and manipulate data. Chapters 2 and 3 introduce and then extend path models to include latent variables. Chapter 4 shows readers how to analyze a latent variable model with data from more than one group, while Chapter 5 shows how to analyze a latent variable model with data from more than one time period. Chapter 6 demonstrates the analysis of dichotomous variables, while Chapter 7 demonstrates how to analyze LVMs with missing data. Chapter 8 focuses on sample size determination using Monte Carlo methods, which can be used with a wide range of statistical models and account for missing data. The final chapter examines hierarchical LVMs, demonstrating both higher-order and bi-factor approaches. The book concludes with three Appendices: a review of common measures of model fit including their formulae and interpretation; syntax for other R latent variable models packages; and solutions for each chapter's exercises.
Intended as a supplementary text for graduate and/or advanced undergraduate courses on latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, business, economics, and social and health sciences, this book also appeals to researchers in these fields. Prerequisites include familiarity with basic statistical concepts, but knowledge of R is not assumed.
Автор: Finch Название: Latent Variable Modeling with R ISBN: 0415832446 ISBN-13(EAN): 9780415832441 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Byrne Название: Structural Equation Modeling With Amos ISBN: 1138797022 ISBN-13(EAN): 9781138797024 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.
Автор: Byrne Название: Structural Equation Modeling With AMOS ISBN: 1138797030 ISBN-13(EAN): 9781138797031 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos.
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