A Student s Guide to Analysis of Variance

Author: Maxwell Roberts
Publisher: Routledge
ISBN: 1317725069
Format: PDF, ePub, Docs
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In the investigation of human behaviour, statistical techniques are employed widely in the social sciences. Whilst introductory statistics courses cover essential techniques, the complexities of behaviour demand that more flexible and comprehensive methods are also employed. Analysis of Variance (ANOVA) has become one of the most common of these and it is therefore essential for both student and researcher to have a thorough understanding of it. A Student's Guide to Analysis of Variance covers a range of statistical techniques associated with ANOVA, including single and multiple factor designs, various follow-up procedures such as post-hoc tests, and how to make sense of interactions. Suggestions on the best use of techniques and advice on how to avoid the pitfalls are included, along with guidelines on the writing of formal reports. Introductory level topics such as standard deviation, standard error and t-tests are revised, making this book an invaluable aid to all students for whom ANOVA is a compulsory topic. It will also serve as a useful refresher for the more advanced student and practising researcher.

SPSS Book

Author: Matthew J. Zagumny
Publisher: iUniverse
ISBN: 059518913X
Format: PDF
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Learning statistical computing using the Statistical Package for Social Sciences (SPSS)r was never easier! The ideal SPSSr manual for students of statistics and social science research. With over 40 screen images, readers will be led step-by-step through uses of SPSSr to analyze data from experimental and correlational research designs. Dr. Zagumny shares his 15 years of experience as a student, teacher, and user of statistics and statistical software. All social scientists should have a copy on their bookshelf.

A Student s Guide to Data and Error Analysis

Author: Herman J. C. Berendsen
Publisher: Cambridge University Press
ISBN: 1139497855
Format: PDF, ePub, Docs
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All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

Analysis of Variance and Functional Measurement

Author: David J. Weiss
Publisher: Oxford University Press
ISBN: 0195183150
Format: PDF, ePub, Mobi
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Clear and straightforward guide to analysis of variance, the backbone of experimental research. Demonstrates how to interpret statistical results and translate them into prose that will clearly tell the audience what the data is saying. End-of-chapter practice problems with suggested answers.

Levine s Guide to SPSS for Analysis of Variance

Author: Sanford L. Braver
Publisher: Psychology Press
ISBN: 1135674396
Format: PDF, Docs
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A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design). Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout. The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by a CD-ROM with all of the book's data sets, as well as exercises for each chapter. This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.

Introduction to Design and Analysis

Author: Geoffrey Keppel
Publisher: Macmillan
ISBN: 9780716723219
Format: PDF
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Introduces undergraduates to the design and statistical analysis of common experiments. Concepts are explained with step-by-step descriptions, worked examples, and an extensive series of exercises. Written for students who meet the standard quantitative prerequisites for entry into most colleges and universities.

Psychology The Key Concepts

Author: Graham Richards
Publisher: Routledge
ISBN: 1134082649
Format: PDF, Kindle
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Psychology: The Key Concepts is a comprehensive overview of 200 concepts central to a solid understanding of Psychology and includes the latest recommendations from the British Psychology Society (BPS). The focus is on practical uses of Psychology in settings such as nursing, education and human resources, with topics ranging from Gender to Psychometrics and Perception.

Biomeasurement

Author: Dawn Hawkins
Publisher: Oxford University Press
ISBN: 0199650446
Format: PDF, Docs
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A refreshing, student-focused introduction to the use of statistics in the study of the biosciences. Emphasising why statistical techniques are essential tools for bioscientists, Biomeasurement removes the stigma attached to statistics by giving students the confidence to use key techniques for themselves.

A Conceptual Guide to Statistics Using SPSS

Author: Elliot T. Berkman
Publisher: SAGE
ISBN: 1412974062
Format: PDF, ePub
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This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics.