Автор: Kail Robert V. Название: Scientific Writing for Psychology: Lessons in Clarity and Style ISBN: 1544309627 ISBN-13(EAN): 9781544309620 Издательство: Sage Publications Рейтинг: 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.
Автор: Adu Название: A Step-by-Step Guide to Qualitative Data Coding ISBN: 1138486876 ISBN-13(EAN): 9781138486874 Издательство: Taylor&Francis Рейтинг: Цена: 43890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an easy-to-follow, step-by-step guide to those new to qualitative data coding, through the use of specific, worked examples. It covers creating codes, developing categories and themes, and determining the connections amongst them.
Автор: Brown, Timothy A., Название: Confirmatory Factor Analysis for Applied Research, Second Edition ISBN: 1462515363 ISBN-13(EAN): 9781462515363 Издательство: Taylor&Francis Рейтинг: Цена: 61240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (www.guilford.com/brown3-materials) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources.
New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages.
This book presents an overview of revisiting the assessment of language abilities. It also showcases how the measurement of such constructs can result in negative or positive washback and how outcomes might be conducive to repercussions that decide on the future of many stakeholders. The 23 chapters were selected among tens of chapters received from different contexts that addressed the issue of revisiting the assessment of language abilities, such as Tunisia, Ukraine, Algeria, Russia, KSA, Sudan, Egypt, Canada, Kurdistan, UK, USA, Iran, Turkey, etc. These contexts have highlighted the necessity to revisit the different constructs which should be assessed with a clear and straightforward foundation on students’ learning objectives and their actual language ability. To do so, most of the chapters present hands-on use of relevant statistical tests that might serve in revisiting the construct definition both theoretically and operationally. Perhaps the sole and intricate question that the authors of these contributions ask is what it means to revisit the assessment of the construct of individualized language ability and how. In addition, the book accentuates the momentousness and significance of reflecting on test fairness and validation as the mainspring and backbone for democratization of assessment. This book appeals to a broad readership, such as English Language Teaching (ELT) practitioners, language teachers, students, testing organizations, policy-makers, test designers, writers of test specifications, testing experts, researchers, program evaluators, especially in the Middle East and North Africa (MENA) as well as other international contexts.
Автор: Grimm Kevin J., Ram Nilam, Estabrook Ryne Название: Growth Modeling: Structural Equation and Multilevel Modeling Approaches ISBN: 1462526063 ISBN-13(EAN): 9781462526062 Издательство: Taylor&Francis Рейтинг: Цена: 75530.00 T Наличие на складе: Невозможна поставка. Описание: Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model`s results. Pedagogical Features: *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader`s own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book`s examples, along with additional code in SAS/R for linear mixed-effects modeling.
Автор: Staddon, John Название: Scientific method ISBN: 1138295361 ISBN-13(EAN): 9781138295360 Издательство: Taylor&Francis Рейтинг: 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.
Автор: Bolger, Niall. Название: Intensive Longitudinal Methods ISBN: 146250678X ISBN-13(EAN): 9781462506781 Издательство: Taylor&Francis Рейтинг: Цена: 52050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).
Автор: Woolf, Nicholas H. Silver, Christina (university O Название: Qualitative analysis using nvivo ISBN: 1138743674 ISBN-13(EAN): 9781138743670 Издательство: Taylor&Francis Рейтинг: Цена: 35720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The method of Five-Level QDA (R) helps researchers to analyse what makes for an expert analytic performance when using qualitative data analysis software. Written by experienced trainers, this practical guide to NVivo will allow qualitative researchers to increase the effectiveness of their data analysis.
Автор: Card Noel A. Название: Applied Meta-Analysis for Social Science Research ISBN: 1462525008 ISBN-13(EAN): 9781462525003 Издательство: Taylor&Francis Рейтинг: Цена: 44910.00 T Наличие на складе: Невозможна поставка. 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.
Автор: Hanna Donncha Название: Psychology Statistics For Dummies ISBN: 1119952875 ISBN-13(EAN): 9781119952879 Издательство: Wiley Рейтинг: Цена: 7380.00 T Наличие на складе: Есть Описание: The introduction to statistics that psychology students can`t afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise.
Автор: Weakliem David L. Название: Hypothesis Testing and Model Selection in the Social Sciences ISBN: 1462525652 ISBN-13(EAN): 9781462525652 Издательство: Taylor&Francis Рейтинг: 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.
Автор: Price Larry R. Название: Psychometric Methods: Theory Into Practice ISBN: 146252477X ISBN-13(EAN): 9781462524778 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Невозможна поставка. 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.
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