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Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.

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Genre: Reference
Author: David B. Flora
Publisher: SAGE
Release: 2017-12-11
File: 472 Pages
ISBN-13: 9781526421920

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In addition to learning how to apply classic statistical methods, students need to understand when these methods perform well, and when and why they can be highly unsatisfactory. Modern Statistics for the Social and Behavioral Sciences illustrates how to use R to apply both standard and modern methods to correct known problems with classic techniques. Numerous illustrations provide a conceptual basis for understanding why practical problems with classic methods were missed for so many years, and why modern techniques have practical value. Designed for a two-semester, introductory course for graduate students in the social sciences, this text introduces three major advances in the field: Early studies seemed to suggest that normality can be assumed with relatively small sample sizes due to the central limit theorem. However, crucial issues were missed. Vastly improved methods are now available for dealing with non-normality. The impact of outliers and heavy-tailed distributions on power and our ability to obtain an accurate assessment of how groups differ and variables are related is a practical concern when using standard techniques, regardless of how large the sample size might be. Methods for dealing with this insight are described. The deleterious effects of heteroscedasticity on conventional ANOVA and regression methods are much more serious than once thought. Effective techniques for dealing heteroscedasticity are described and illustrated. Requiring no prior training in statistics, Modern Statistics for the Social and Behavioral Sciences provides a graduate-level introduction to basic, routinely used statistical techniques relevant to the social and behavioral sciences. It describes and illustrates methods developed during the last half century that deal with known problems associated with classic techniques. Espousing the view that no single method is always best, it imparts a general understanding of the relative merits of various techniques so that the choice of method can be made in an informed manner.

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Genre: Mathematics
Author: Rand Wilcox
Publisher: CRC Press
Release: 2011-08-05
File: 862 Pages
ISBN-13: 9781439834565

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Fundamental Statistics for the Social and Behavioral Sciences, Second Edition places statistics within the research process, illustrating how they are used to answer questions and test ideas. Students learn not only how to calculate statistics, but also how to interpret and communicate the results of statistical analyses in light of a study’s research hypothesis. Featuring accessible writing and well-integrated research examples, the book gives students a greater understanding of how research studies are conceived, conducted, and communicated. New and Proven Features Updated data sets and research examples address real-world issues and topics across the social and behavioral sciences, illustrating the use of statistical procedures to test research questions and hypotheses. Significantly expanded discussion of linear and multiple regression and correlation now gives regression its own separate chapter. Thorough presentation of formulas, hand calculations, and the presentation of visual data enable mastery of key techniques and prove especially helpful in flipped or online classes. In-chapter learning checks and end-of-chapter exercises give students an opportunity to continually assess their understanding. Screenshots of statistical calculations using IBM® SPSS® Statistics at the end of chapters help students learn to use SPSS software and interpret output. Original SAGE videos for each chapter, featuring author Howard K. Tokunaga, bring concepts to life and appeal to diverse learners.

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Genre: Social Science
Author: Howard T. Tokunaga
Publisher: SAGE Publications
Release: 2018-09-12
File: 712 Pages
ISBN-13: 9781506377469

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Written by an interdisciplinary team of global experts, this book is an invaluable tool for anyone learning about research methods.

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Genre: Psychology
Author: John E. Edlund
Publisher: Cambridge University Press
Release: 2019-03-14
File: 300 Pages
ISBN-13: 9781108425933

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When I undertook the first edition of this book my goal was to introduce statistical methods in a style that emphasized their concepts and their application to the social sciences rather than the mathematics and computational details behind them. This fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises.

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Genre: Social sciences
Author: Alan Agresti
Publisher: Prentice Hall
Release: 2009
File: 609 Pages
ISBN-13: 013713150X

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Genre:
Author: Leonard A. Marascuilo
Publisher:
Release: 1988
File: 816 Pages
ISBN-13: OCLC:223279437

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This text presents the major statistical concepts, methods and designs, and their analyses in simple, easily accessible language.

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Genre: Psychology
Author: Banamali Mohanty
Publisher:
Release: 2015-11
File: 1482 Pages
ISBN-13: 9351501817

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Master the essential statistical skills used in social andbehavioral sciences Essentials of Statistics for the Social and Behavioral Sciencesdistills the overwhelming amount of material covered inintroductory statistics courses into a handy, practical resourcefor students and professionals. This accessible guide covers basicto advanced concepts in a clear, concrete, and readablestyle. Essentials of Statistics for the Social and Behavioral Sciencesguides you to a better understanding of basic concepts ofstatistical methods. Numerous practical tips are presented forselecting appropriate statistical procedures. In addition, thisuseful guide demonstrates how to evaluate and interpret statisticaldata, provides numerous formulas for calculating statistics fromtables of summary statistics, and offers a variety of workedexamples. As part of the Essentials of Behavioral Science series, this bookoffers a thorough review of the most relevant statistical conceptsand techniques that will arm you with the tools you'll need forknowledgeable, informed practice. Each concise chapter featuresnumerous callout boxes highlighting key concepts, bulleted points,and extensive illustrative material, as well as "Test Yourself"questions that help you gauge and reinforce your grasp of theinformation covered.

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Genre: Psychology
Author: Barry H. Cohen
Publisher: John Wiley & Sons
Release: 2004-04-01
File: 291 Pages
ISBN-13: 9780471480761

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Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research. The text covers: repeated measures unbalanced and non-randomized experiments and surveys choice of design adjustment for confounding variables model building and partition of variance covariance multiple regression Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.

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Genre: Mathematics
Author: David R. Boniface
Publisher: Routledge
Release: 2019-05-20
File: 272 Pages
ISBN-13: 9781351449298

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This monograph presents methods for full comparative distributional analysis based on the relative distribution. This provides a general integrated framework for analysis, a graphical component that simplifies exploratory data analysis and display, a statistically valid basis for the development of hypothesis-driven summary measures, and the potential for decomposition - enabling the examination of complex hypotheses regarding the origins of distributional changes within and between groups. Written for data analysts and those interested in measurement, the text can also serve as a textbook for a course on distributional methods.

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Genre: Social Science
Author: Mark S. Handcock
Publisher: Springer Science & Business Media
Release: 2006-05-10
File: 266 Pages
ISBN-13: 9780387226583

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