Statistical Analysis In Focus

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Statistical Analysis "In Focus"

Gregory J. Privitera,Kristin Lee Sotak,Yu Lei
Statistical Analysis In Focus Book PDF

Author : Gregory J. Privitera,Kristin Lee Sotak,Yu Lei
Publisher : SAGE Publications
Page : 207 pages
File Size : 51,9 Mb
Release : 2017-11-30
Category : Psychology
ISBN : 9781544305585

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Statistical Analysis "In Focus" by Gregory J. Privitera,Kristin Lee Sotak,Yu Lei Pdf

Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Statistics for the Behavioral Sciences, Third Edition who work with a statistical program other than SPSS or Excel. Three standalone parts, each dedicated to R, SAS, and Stata, serve as step-by-step guides for completing the "In Focus" exercises in Privitera’s core text. A conversational writing style along with "To The Student" introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS, and Stata provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.

Essential Statistical Analysis "In Focus"

Gregory J. Privitera,Kristin Lee Sotak,Yu Lei
Essential Statistical Analysis In Focus Book PDF

Author : Gregory J. Privitera,Kristin Lee Sotak,Yu Lei
Publisher : SAGE Publications
Page : 157 pages
File Size : 40,7 Mb
Release : 2018-05-16
Category : Psychology
ISBN : 9781544325828

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Essential Statistical Analysis "In Focus" by Gregory J. Privitera,Kristin Lee Sotak,Yu Lei Pdf

Essentials of Statistical Analysis "In Focus" supports users of Gregory J. Privitera’s Essential Statistics for the Behavioral Sciences, Second Edition who work with a statistical program other than SPSS® or Excel®. Three standalone parts, each dedicated to R, SAS®, and Stata®, serve as step-by-step guides for completing the "In Focus" exercises in Privitera’s core text. A conversational writing style along with "To The Student" introductions allow students to familiarize themselves and become more comfortable with each program prior to making computations. Additionally, General Instruction Guidebook (GIG) sections for R, SAS®, and Stata® provide standardized how-to instructions for using each program, making the book a valuable reference for students beyond their studies.

Focus Group Research

Martha Ann Carey,Jo-Ellen Asbury
Focus Group Research Book PDF

Author : Martha Ann Carey,Jo-Ellen Asbury
Publisher : Routledge
Page : 119 pages
File Size : 54,5 Mb
Release : 2016-06-16
Category : Psychology
ISBN : 9781315428369

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Focus Group Research by Martha Ann Carey,Jo-Ellen Asbury Pdf

This volume provides a thorough introduction to creating and conducting focus group research projects. Carey and Asbury provide background on the history of focus groups then document the best practices in conducting a study using them. They also provide valuable advice on how to conduct a fair and accurate analysis of minorities and other vulnerable groups within the population at large. This book is an excellent introduction for any researcher looking to utilize focus groups in their next project.

Small Clinical Trials

Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Small-Number-Participant Clinical Research Trials
Small Clinical Trials Book PDF

Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Small-Number-Participant Clinical Research Trials
Publisher : National Academies Press
Page : 222 pages
File Size : 40,7 Mb
Release : 2001-01-01
Category : Medical
ISBN : 0309171148

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Small Clinical Trials by Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Small-Number-Participant Clinical Research Trials Pdf

Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.

Basic and Advanced Statistical Tests

Amanda Ross,Victor L. Willson
Basic and Advanced Statistical Tests Book PDF

Author : Amanda Ross,Victor L. Willson
Publisher : Springer
Page : 10 pages
File Size : 53,8 Mb
Release : 2018-01-03
Category : Education
ISBN : 9789463510868

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Basic and Advanced Statistical Tests by Amanda Ross,Victor L. Willson Pdf

This book focuses on extraction of pertinent information from statistical test outputs, in order to write result sections and/or accompanying tables and/or figures. The book is divided into two encompassing sections: Part I – Basic Statistical Tests and Part II – Advanced Statistical Tests. Part I includes 9 basic statistical tests, and Part II includes 7 advanced statistical tests. Each chapter provides the name of a basic or advanced statistical test, a brief description, examples of when to use each, a sample scenario, and a sample results section write-up. Depending on the test and need, most chapters provide a table and/or figure to accompany the write-up. The purpose of the book is to provide researchers with a reference manual for writing results sections and tables/figures in scholarly works. The authors fill a gap in research support manuals by focusing on sample write-ups and tables/figures for given statistical tests. The book assists researchers by eliminating the need to comb through numerous publications to determine necessary information to report, as well as correct APA format to use, at the close of analyses.

Statistical Data Analysis

Glen Cowan
Statistical Data Analysis Book PDF

Author : Glen Cowan
Publisher : Oxford University Press
Page : 218 pages
File Size : 46,8 Mb
Release : 1998
Category : Mathematics
ISBN : 9780198501565

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Statistical Data Analysis by Glen Cowan Pdf

This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are takenfrom particle physics, the material is presented in a sufficiently general way as to be useful to people from most branches of the physical sciences. The first part of the book describes the basic tools of data analysis: concepts of probability and random variables, Monte Carlo techniques,statistical tests, and methods of parameter estimation. The last three chapters are somewhat more specialized than those preceding, covering interval estimation, characteristic functions, and the problem of correcting distributions for the effects of measurement errors (unfolding).

Analyzing and Reporting Focus Group Results

Richard A. Krueger
Analyzing and Reporting Focus Group Results Book PDF

Author : Richard A. Krueger
Publisher : SAGE Publications
Page : 160 pages
File Size : 52,9 Mb
Release : 1997-07-24
Category : Social Science
ISBN : 9781506339177

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Analyzing and Reporting Focus Group Results by Richard A. Krueger Pdf

Richard Krueger offers a rich and valuable discussion of focus group analysis that is sure to become a major guide in future focus group efforts. Analysis of focus group data is different from analysis of data collected through other qualitative methodologies and this presents new challenges to researchers. This book overviews important principles guiding focus group research, suggests a systematic and verifiable analysis strategy. Krueger is not doctrinaire: he offers multiple approaches and invites others to share their strategies for analysis. The book is helpful for academic audiences, focus group practitioners and the occasional moderator. The straightforward approach contains hundreds of helpful tips.

Research Design and Statistics

Thomas Edwards
Research Design and Statistics Book PDF

Author : Thomas Edwards
Publisher : Unknown
Page : 342 pages
File Size : 53,7 Mb
Release : 2008
Category : Experimental design
ISBN : 007013488X

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Research Design and Statistics by Thomas Edwards Pdf

Research Design and Statistics encourages students to think of themselves as researchers by engaging the reader in statistical issues and problems from the outset. Importantly, this book is approachable and easy to use. It features a dedicated chapter on the problems of outlier identification and the consequences of data not meeting test assumptions. Another chapter focuses on multiple comparison procedures, and explains why as well as how things should be done. The original new work on research methods and elementary statistics recognises that research design and statistical analysis are interdependent. Students need a wide variety of common analysis tools and practical examples, in order to be able to correctly understand the complexities of real-world data. This book is an invaluable resource to students to develop the statistical judgement needed for career success.

Essential Statistics for the Behavioral Sciences

Gregory J. Privitera
Essential Statistics for the Behavioral Sciences Book PDF

Author : Gregory J. Privitera
Publisher : SAGE Publications
Page : 615 pages
File Size : 46,8 Mb
Release : 2017-12-15
Category : Psychology
ISBN : 9781506386287

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Essential Statistics for the Behavioral Sciences by Gregory J. Privitera Pdf

Essentials of Statistics for the Behavioral Sciences is a concise version of Statistics for the Behavioral Sciences by award-winning teacher, author, and advisor Gregory J. Privitera. The Second Edition provides balanced coverage for today’s students, connecting the relevance of core concepts to daily life with new introductory vignettes for every chapter, while speaking to the reader as a researcher when covering statistical theory, computation, and application. Robust pedagogy allows students to continually check their comprehension and hone their skills while working through carefully developed problems and exercises that include current research and seamless integration of IBM® SPSS® Statistics. Readers will welcome Privitera’s thoughtful instruction, conversational voice, and application of statistics to real-world problems. A Complete Teaching & Learning Package . SAGE coursepacks FREE! SAGE coursepacks makes it easy to import our quality instructor and student resource content into your school’s learning management system (LMS). Intuitive and simple to use, SAGE coursepacks allows you to customize course content to meet your students’ needs. . SAGE edge FREE! SAGE edge offers both instructors and students a robust online environment with an impressive array of teaching and learning resources. Study Guide With IBM® SPSS® Workbook Bundle the Second Edition with the accompanying Student Study Guide With IBM® SPSS® Workbook for Essential Statistics for the Behavioral Sciences. Guide for Users of R, SAS®, and Stata® Bundle the Second Edition with the accompanying Essentials of Statistical Analysis "In Focus". WebAssign® This title is available on WebAssign, allowing instructors to produce and manage assignments with their students online using a grade book that allows them to track and monitor students′ progress. Students receive unlimited practice using a combination of multiple choice and algorithmic questions, and are allowed unlimited access to this edition of the textbook in the same course at no additional cost. WebAssign provides instant feedback and links directly to the accompanying eBook section where the concept was covered, allowing students to find the correct solution.

Data Analysis for the Life Sciences with R

Rafael A. Irizarry,Michael I. Love
Data Analysis for the Life Sciences with R Book PDF

Author : Rafael A. Irizarry,Michael I. Love
Publisher : CRC Press
Page : 461 pages
File Size : 42,8 Mb
Release : 2016-10-04
Category : Mathematics
ISBN : 9781498775861

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Data Analysis for the Life Sciences with R by Rafael A. Irizarry,Michael I. Love Pdf

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

Understanding Statistical Analysis and Modeling

Robert Bruhl
Understanding Statistical Analysis and Modeling Book PDF

Author : Robert Bruhl
Publisher : SAGE Publications
Page : 320 pages
File Size : 51,5 Mb
Release : 2017-11-15
Category : Social Science
ISBN : 9781506317373

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Understanding Statistical Analysis and Modeling by Robert Bruhl Pdf

Understanding Statistical Analysis and Modeling is a text for graduate and advanced undergraduate students in the social, behavioral, or managerial sciences seeking to understand the logic of statistical analysis. Robert Bruhl covers all the basic methods of descriptive and inferential statistics in an accessible manner by way of asking and answering research questions. Concepts are discussed in the context of a specific research project and the book includes probability theory as the basis for understanding statistical inference. Instructions on using SPSS® are included so that readers focus on interpreting statistical analysis rather than calculations. Tables are used, rather than formulas, to describe the various calculations involved with statistical analysis and the exercises in the book are intended to encourage students to formulate and execute their own empirical investigations.

Understanding Advanced Statistical Methods

Peter Westfall,Kevin S. S. Henning
Understanding Advanced Statistical Methods Book PDF

Author : Peter Westfall,Kevin S. S. Henning
Publisher : CRC Press
Page : 572 pages
File Size : 50,6 Mb
Release : 2013-04-09
Category : Mathematics
ISBN : 9781466512108

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Understanding Advanced Statistical Methods by Peter Westfall,Kevin S. S. Henning Pdf

Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book’s website.

Introduction to Statistical Data Analysis for the Life Sciences

Claus Thorn Ekstrom,Helle Sørensen
Introduction to Statistical Data Analysis for the Life Sciences Book PDF

Author : Claus Thorn Ekstrom,Helle Sørensen
Publisher : CRC Press
Page : 429 pages
File Size : 54,6 Mb
Release : 2010-08-16
Category : Mathematics
ISBN : 9781439825556

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Introduction to Statistical Data Analysis for the Life Sciences by Claus Thorn Ekstrom,Helle Sørensen Pdf

Any practical introduction to statistics in the life sciences requires a focus on applications and computational statistics combined with a reasonable level of mathematical rigor. It must offer the right combination of data examples, statistical theory, and computing required for analysis today. And it should involve R software, the lingua franca of statistical computing. Introduction to Statistical Data Analysis for the Life Sciences covers all the usual material but goes further than other texts to emphasize: Both data analysis and the mathematics underlying classical statistical analysis Modeling aspects of statistical analysis with added focus on biological interpretations Applications of statistical software in analyzing real-world problems and data sets Developed from their courses at the University of Copenhagen, the authors imbue readers with the ability to model and analyze data early in the text and then gradually fill in the blanks with needed probability and statistics theory. While the main text can be used with any statistical software, the authors encourage a reliance on R. They provide a short tutorial for those new to the software and include R commands and output at the end of each chapter. Data sets used in the book are available on a supporting website. Each chapter contains a number of exercises, half of which can be done by hand. The text also contains ten case exercises where readers are encouraged to apply their knowledge to larger data sets and learn more about approaches specific to the life sciences. Ultimately, readers come away with a computational toolbox that enables them to perform actual analysis for real data sets as well as the confidence and skills to undertake more sophisticated analyses as their careers progress.

Critical Issues in Qualitative Research Methods

Janice M. Morse
Critical Issues in Qualitative Research Methods Book PDF

Author : Janice M. Morse
Publisher : SAGE
Page : 412 pages
File Size : 45,9 Mb
Release : 1994
Category : Social Science
ISBN : 0803950438

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Critical Issues in Qualitative Research Methods by Janice M. Morse Pdf

Theoretically rich and stimulating, Critical Issues in Qualitative Research Methods targets matters inherent in qualitative research. It addresses some of the lesser-known or explicated qualitative research methods (such as ethology), the essential concepts of rigor and evaluation, dilemmas in data collection, and issues of scientific misconduct. The various schools of phenomenology and their major characteristics of excellence are described. In addition, ethical issues and concerns of scientific integrity are raised: Which set of ethics should a researcher use? Should one divulge their research purposes? Are there potential risks to informants? Each chapter in this volume deals with a matter that has not yet been resolved or addressed in existing literature. The chapters begin with a joint dialogue in which the contributors raise questions and comment upon the concept presented, thus giving a sense of the ongoing controversy these opinions engender. Critical Issues in Qualitative Research Methods is important reading for advanced students and researchers in all disciplines, especially nursing and allied health.

Introduction to Statistics

Howard M. Reid
Introduction to Statistics Book PDF

Author : Howard M. Reid
Publisher : SAGE Publications
Page : 633 pages
File Size : 42,9 Mb
Release : 2013-08-13
Category : Social Science
ISBN : 9781483301570

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Introduction to Statistics by Howard M. Reid Pdf

Using a truly accessible and reader-friendly approach, Introduction to Statistics: Fundamental Concepts and Procedures of Data Analysis, by Howard M. Reid, redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics. Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks.