Utilization Of Statistical Hypothesis Testing Procedures In Social And Behavioral Science Research
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Utilization Of Statistical Hypothesis Testing Procedures In Social And Behavioral Science Research
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Author : Jack Harold Lutz
language : en
Publisher:
Release Date : 1974
Utilization Of Statistical Hypothesis Testing Procedures In Social And Behavioral Science Research written by Jack Harold Lutz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Social sciences categories.
Statistical Methods For The Social And Behavioural Sciences
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Author : David B. Flora
language : en
Publisher: SAGE
Release Date : 2017-12-11
Statistical Methods For The Social And Behavioural Sciences written by David B. Flora and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-11 with Social Science categories.
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.
Statistical Power Analysis For The Social And Behavioral Sciences
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Author : Xiaofeng Steven Liu
language : en
Publisher: Routledge
Release Date : 2013-11-07
Statistical Power Analysis For The Social And Behavioral Sciences written by Xiaofeng Steven Liu and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-07 with Psychology categories.
This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.
Fundamental Statistics For The Social And Behavioral Sciences
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Author : Howard T. Tokunaga
language : en
Publisher: SAGE Publications
Release Date : 2018-09-12
Fundamental Statistics For The Social And Behavioral Sciences written by Howard T. Tokunaga and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-12 with Social Science categories.
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.
Statistical Power Analysis For The Behavioral Sciences
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Author : Jacob Cohen
language : en
Publisher: Routledge
Release Date : 2013-05-13
Statistical Power Analysis For The Behavioral Sciences written by Jacob Cohen and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-13 with Psychology categories.
Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.
A Handbook For Data Analysis In The Behaviorial Sciences
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Author : Gideon Keren
language : en
Publisher: Psychology Press
Release Date : 2014-01-14
A Handbook For Data Analysis In The Behaviorial Sciences written by Gideon Keren and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-14 with Psychology categories.
Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.
Modern Statistics For The Social And Behavioral Sciences
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Author : Rand Wilcox
language : en
Publisher: CRC Press
Release Date : 2011-08-05
Modern Statistics For The Social And Behavioral Sciences written by Rand Wilcox and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-05 with Mathematics categories.
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.
Conducting Research
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Author : Lawrence T Orcher
language : en
Publisher: Routledge
Release Date : 2016-10-14
Conducting Research written by Lawrence T Orcher and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-14 with Psychology categories.
• Prepares students to conduct their first empirical research study, with quantitative and qualitative methods covered in detail. Common features as well as differences between the two research approaches are explored. • While theoretical material is included, the emphasis is on providing practical, easy-to-follow advice on how to conduct a first research project. • Unlike most texts with hypothetical examples, this text—with real examples written by a variety of published researchers—makes research methods come alive. Students see how research methods are used to explore important, contemporary problems. • Factual Questions at the end of each chapter help students review key concepts covered in the chapters. • Questions for Discussion encourage students to consider specific techniques and strategies that they might use while conducting their research.
Social And Behavioral Statistics
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Author : Steven P. Schacht
language : en
Publisher: Routledge
Release Date : 2018-05-04
Social And Behavioral Statistics written by Steven P. Schacht and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-04 with Social Science categories.
Revised and updated to include the behavioral sciences, the second edition of this introductory statistics book engages students with real-world examples and exercises. To the dismay of many social and behavioral science majors, successfully passing a statistics course in sociology, psychology, and most other social/behavioral science programs is required, and at many institutions statistics is becoming a university-wide requirement. In this newly revised text, the authors continue to make use of their proven stress-busting approach to teaching statistics to self-describe math phobic students. This book uses humorous examples and step-by-step presentations of statistical procedures to illustrate what are often complex and hard-to-grasp statistical concepts. Students and instructors will find this text to be a helpful, easy to interpret and thoroughly comprehensive introduction to social and behavioral statistics. Perfect for social and behavioral sciences upper-level undergrads fearful of that required stats course. It uses stress-busting features like cartoons and real-world examples to illustrate what are often complex and hard-to-grasp statistical concepts. Includes the newest and most necessary tools for students to master statistical skills making handouts or additional books unnecessary and gives instructors and their students a compact and affordable main text for their introductory stats courses.
What If There Were No Significance Tests
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Author : Lisa L. Harlow
language : en
Publisher: Routledge
Release Date : 2016-03-02
What If There Were No Significance Tests written by Lisa L. Harlow and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-02 with Psychology categories.
The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.