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: 5859.00 р. 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: 6583.00 р. 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: Bolger, Niall. Название: Intensive Longitudinal Methods ISBN: 146250678X ISBN-13(EAN): 9781462506781 Издательство: Taylor&Francis Рейтинг: Цена: 7808.00 р. 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).
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: Woolf, Nicholas H. Silver, Christina (university O Название: Qualitative analysis using nvivo ISBN: 1138743674 ISBN-13(EAN): 9781138743670 Издательство: Taylor&Francis Рейтинг: Цена: 5358.00 р. 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: Cumming, Geoff. Название: Introduction to the New Statistics ISBN: 1138825522 ISBN-13(EAN): 9781138825529 Издательство: Taylor&Francis Рейтинг: Цена: 9951.00 р. 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.
Автор: Hanna Donncha Название: Psychology Statistics For Dummies ISBN: 1119952875 ISBN-13(EAN): 9781119952879 Издательство: Wiley Рейтинг: Цена: от 1006.00 р. 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.
Описание: Self-determination theory (SDT) provides a framework for understanding the factors that promote motivation and healthy psychological and behavioral functioning. In this authoritative work, the codevelopers of the theory comprehensively examine SDT's conceptual underpinnings (including its six mini-theories), empirical evidence base, and practical applications across the lifespan. The volume synthesizes a vast body of research on how supporting--or thwarting--people's basic needs for competence, relatedness, and autonomy affects their development and well-being. Chapters cover implications for practice and policy in education, health care, psychotherapy, sport, and the workplace.
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.
Автор: Harris, Robert A. Название: Using sources effectively ISBN: 113828968X ISBN-13(EAN): 9781138289680 Издательство: Taylor&Francis Рейтинг: Цена: 8879.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Now in its fifth, expanded edition, Using Sources Effectively, Fifth Edition targets the two most prominent problems in current research-paper writing: the increase in unintentional plagiarism and the ineffective use of research source material.
Автор: Staddon, John Название: Scientific method ISBN: 1138295361 ISBN-13(EAN): 9781138295360 Издательство: Taylor&Francis Рейтинг: Цена: 8114.00 р. 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.
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