reasoning with statistics how to read quantitative research

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Reasoning With Statistics

Author : Frederick Williams
ISBN : 0030195365
Genre : Mathematics
File Size : 22. 82 MB
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Reasoning With Statistics

Author : Frederick Williams
ISBN : OCLC:880122247
Genre :
File Size : 90. 62 MB
Format : PDF
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Introduction To Social Statistics

Author : Thomas Dietz
ISBN : 9781405169028
Genre : Mathematics
File Size : 73. 18 MB
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Introduction to Social Statistics is a basic statistics text with a focus on the use of models for thinking through statistical problems, an accessible and consistent structure with ongoing examples across chapters, and an emphasis on the tools most commonly used in contemporary research. Lively introductory textbook that uses three strategies to help students master statistics: use of models throughout; repetition with variation to underpin pedagogy; and emphasis on the tools most commonly used in contemporary research Demonstrates how more than one statistical method can be used to approach a research question Enhanced learning features include a walk–through of statistical concepts, applications, features, advanced topics boxes, and a What Have We Learned section at the end of each chapter Supported by a website containing instructor materials including chapter–by–chapter PowerPoint slides, answers to exercises, and an instructor guide Visit www.wiley.com/go/dietz for additional student and instructor resources.

Interpreting Quantitative Data

Author : David Byrne
ISBN : 076196262X
Genre : Social Science
File Size : 47. 62 MB
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How do quantitative methods help us to acquire knowledge of the real world? What are the `do's' and `don'ts' of effective quantitative research? This refreshing and accessible book provides students with a novel and useful resource for doing quantitative research. It offers students a guide on how to: interpret the complex reality of the social world; achieve effective measurement; understand the use of official statistics; use social surveys; understand probability and quantitative reasoning; interpret measurements; apply linear modelling; understand simulation and neural nets; and integrate quantitative and qualitative modelling in the research process. Jargon-free and written with the needs of students in mind, the book will be required reading for students interested in using quantitative research methods.

Quantitative Research In Human Biology And Medicine

Author : Sigismund Peller
ISBN : 9781483281087
Genre : Health & Fitness
File Size : 40. 42 MB
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Quantitative Research in Human Biology and Medicine reflects the author's past activities and experiences in the field of medical statistics. The book presents statistical material from a variety of medical fields. The text contains chapters that deal with different aspects of vital statistics. It provides statistical surveys of perinatal mortality rate; epidemiology of various diseases, like cancer, tuberculosis, malaria, diphtheria, and scarlatina; and discussions of various aspects of human biology such as growth and development, genetics, and nutrition. The inheritance of mental qualities; the law governing multiple births; and historical demography are covered as well. Medical statisticians and physicians will find the book interesting.

Statistics Translated

Author : Steven R. Terrell
ISBN : 9781462503216
Genre : Social Science
File Size : 57. 48 MB
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Written in a humorous and encouraging style, this text shows how the most common statistical tools can be used to answer interesting real-world questions, presented as mysteries to be solved. Engaging research examples lead the reader through a series of six steps, from identifying a researchable problem to stating a hypothesis, identifying independent and dependent variables, and selecting and interpreting appropriate statistical tests. All techniques are demonstrated both manually and with the help of SPSS software. The book provides students and others who may need to read and interpret statistically based research with the essential knowledge and skills needed to make decisions based on data. ? Pedagogical Features Include: *Checklists of key words and formulas in every chapter. *Examples of SPSS screenshots used for analyzing data. *Cautionary notes plus "Putting It All Together" section recaps. *End-of-chapter self-quizzes (with full answers and explanations). *Glossary of terms.

Reasoning With Data

Author : Jeffrey M. Stanton
ISBN : 9781462530267
Genre : Computers
File Size : 65. 9 MB
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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 (www.guilford.com/stanton2-materials) 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.

The Challenge Of Developing Statistical Literacy Reasoning And Thinking

Author : Dani Ben-Zvi
ISBN : 1402022786
Genre : Mathematics
File Size : 84. 89 MB
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Unique in that it collects, presents, and synthesizes cutting edge research on different aspects of statistical reasoning and applies this research to the teaching of statistics to students at all educational levels, this volume will prove of great value to mathematics and statistics education researchers, statistics educators, statisticians, cognitive psychologists, mathematics teachers, mathematics and statistics curriculum developers, and quantitative literacy experts in education and government.

Statistics As Principled Argument

Author : Robert P. Abelson
ISBN : 9781135694418
Genre : Psychology
File Size : 46. 50 MB
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In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

Statistics At The Bench

Author : Martina Bremer
ISBN : STANFORD:36105215291449
Genre : Mathematics
File Size : 74. 43 MB
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Statistics at the Bench is a convenient bench-side companion for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses. The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. This book is not a textbook. It is an essential handbook for working scientists. Statistics at the Bench provides a simple refresher for those who have forgotten what they once knew, and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed Excel commands for easy reference.

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