Applying Regression And Correlation

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Applying Regression And Correlation

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Author : Jeremy Miles
language : en
Publisher: SAGE
Release Date : 2000-11-24

Applying Regression And Correlation written by Jeremy Miles and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-11-24 with Social Science categories.

This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach. The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable. Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe are the more complex aspects of regression analysis. The authors gradually extend the model to include aspects of regression analysis such as non-linear regression, logistic regression, and moderator and mediator analysis. These approaches are often presented in terms that are too mathematical for non-statistically inclined students to deal with. Throughout the book maintains a conceptual, non-mathematical focus. Most equations are placed in an appendix, where a detailed explanation is given, to avoid disrupting the flow of the main text. This book will be indispensable for anyone using regression and correlation from undergraduates doing projects to postgraduate and researchers.

Applied Multiple Regression Correlation Analysis For The Behavioral Sciences

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Author : Jacob Cohen
language : en
Publisher: Routledge
Release Date : 2013-06-17

Applied Multiple Regression Correlation 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 2013-06-17 with Psychology categories.

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

Applied Multiple Regression Correlation Analysis For The Behavioral Sciences

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Author : Patricia Cohen
language : en
Publisher: Psychology Press
Release Date : 2014-04-04

Applied Multiple Regression Correlation Analysis For The Behavioral Sciences written by Patricia Cohen and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Psychology categories.

Part PART I: BASICS -- chapter 1 Introduction -- chapter 2 Bivariate Correlation and Regression -- chapter 3 Multiple Regression/Correlation: Two or More Independent Variables -- chapter 4 Sets of Independent Variables -- part PART II: THE REPRESENTATION OF INFORMATION IN INDEPENDENT VARIABLES -- chapter 5 Nominal or Qualitative Scales -- chapter 6 Quantitative Scales -- chapter 7 Missing Data -- chapter 8 Interactions -- part PART III: APPLICATIONS -- chapter 9 Causal Models -- chapter 10 The Analysis of Covariance and Its Multiple Regression/Correlation Generalization -- chapter 11 Repeated Measurement and Matched Subjects Designs -- chapter 12 Multiple Regression/Correlation and Multivariate Methods.

Handbook Of Parametric And Nonparametric Statistical Procedures Fifth Edition

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Author : David J. Sheskin
language : en
Publisher: CRC Press
Release Date : 2020-06-09

Handbook Of Parametric And Nonparametric Statistical Procedures Fifth Edition written by David J. Sheskin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-09 with Education categories.

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th

Handbook Of Research Methods In Personality Psychology

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Author : Richard W. Robins
language : en
Publisher: Guilford Press
Release Date : 2009-12-09

Handbook Of Research Methods In Personality Psychology written by Richard W. Robins and has been published by Guilford Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-09 with Psychology categories.

Bringing together leading investigators, this comprehensive handbook is a one-stop reference for anyone planning or conducting research on personality. It provides up-to-date analyses of the rich array of methodological tools available today, giving particular attention to real-world theoretical and logistical challenges and how to overcome them. In chapters filled with detailed, practical examples, readers are shown step by step how to formulate a suitable research design, select and use high-quality measures, and manage the complexities of data analysis and interpretation. Coverage ranges from classic methods like self-report inventories and observational procedures to such recent innovations as neuroimaging and genetic analyses.

The Corsini Encyclopedia Of Psychology Volume 3

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Author : Irving B. Weiner
language : en
Publisher: John Wiley & Sons
Release Date : 2010-01-19

The Corsini Encyclopedia Of Psychology Volume 3 written by Irving B. Weiner and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-19 with Psychology categories.

Psychologists, researchers, teachers, and students need complete and comprehensive information in the fields of psychology and behavioral science. The Corsini Encyclopedia of Psychology, Volume Three has been the reference of choice for almost three decades. This indispensable resource is updated and expanded to include much new material. It uniquely and effectively blends psychology and behavioral science. The Fourth Edition features over 1,200 entries; complete coverage of DSM disorders; and a bibliography of over 10,000 citations. Readers will benefit from up-to-date and authoritative coverage of every major area of psychology.

Applied Multivariate Statistical Concepts

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Author : Debbie L. Hahs-Vaughn
language : en
Publisher: Taylor & Francis
Release Date : 2016-12-01

Applied Multivariate Statistical Concepts written by Debbie L. Hahs-Vaughn and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Psychology categories.

More comprehensive than other texts, this new book covers the classic and cutting edge multivariate techniques used in today’s research. Ideal for courses on multivariate statistics/analysis/design, advanced statistics or quantitative techniques taught in psychology, education, sociology, and business, the book also appeals to researchers with no training in multivariate methods. Through clear writing and engaging pedagogy and examples using real data, Hahs-Vaughn walks students through the most used methods to learn why and how to apply each technique. A conceptual approach with a higher than usual text-to-formula ratio helps reader’s master key concepts so they can implement and interpret results generated by today’s sophisticated software. Annotated screenshots from SPSS and other packages are integrated throughout. Designed for course flexibility, after the first 4 chapters, instructors can use chapters in any sequence or combination to fit the needs of their students. Each chapter includes a ‘mathematical snapshot’ that highlights the technical components of each procedure, so only the most crucial equations are included. Highlights include: -Outlines, key concepts, and vignettes related to key concepts preview what’s to come in each chapter -Examples using real data from education, psychology, and other social sciences illustrate key concepts -Extensive coverage of assumptions including tables, the effects of their violation, and how to test for each technique -Conceptual, computational, and interpretative problems mirror the real-world problems students encounter in their studies and careers -A focus on data screening and power analysis with attention on the special needs of each particular method -Instructions for using SPSS via screenshots and annotated output along with HLM, Mplus, LISREL, and G*Power where appropriate, to demonstrate how to interpret results -Templates for writing research questions and APA-style write-ups of results which serve as models -Propensity score analysis chapter that demonstrates the use of this increasingly popular technique -A review of matrix algebra for those who want an introduction (prerequisites include an introduction to factorial ANOVA, ANCOVA, and simple linear regression, but knowledge of matrix algebra is not assumed) -www.routledge.com/9780415842365 provides the text’s datasets preformatted for use in SPSS and other statistical packages for readers, as well as answers to all chapter problems, Power Points, and test items for instructors

How To Use Correlation And Regression

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Author : Jonathan Sarwono
language : en
Publisher:
Release Date : 2017-10-31

How To Use Correlation And Regression written by Jonathan Sarwono and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-31 with categories.

Many people have difficulties in distinguishing between correlation and regression; consequently they cannot apply these two procedures correctly. The aim of this book is to clarify the basic concepts of correlation and regression so that we can use them easily. Correlation belongs to independent relationship. That is why there is no independent and dependent variables in correlation. While regression belongs to dependent relationship. Accordingly, in regression there must be a variable that can be identified as an independent variable and another variable that can be identified as a dependent variable. To make it easy to conduct calculation, the analysis process of the data analysis will use IBM SPSS and Eviews. The contents of the book are as followsPart I: Correlation1. Definition2. Uses of Correlation3. Linearity Concepts4. Assumption5. Characteristics6. Coefficient of Correlation7. Significance / Probability8. Interpretation9. Hypothesis Testing 10. The basic Differences between Correlation and Causation11. Advantages and Disadvantages Using Correlation 12. Applications: Spearman Rank Correlation, Pearson Product Moment Correlation and Partial Correlation13. ExercisesPart II: Regression1. Definition2. Goals of Using Regression3. Underlying Assumptions4. Requirements of Using Regression5. Linearity Concepts in Regression6. Hypothesis Testing 7. Good Model Characteristics8. Advantages and Disadvantages Using Regression9. Main Parameters in Regression: R square, Adjusted R square, F, t, Constant (a), Unstandardised Coefficient (b) and Significance (p-value) 10. Application: Simple Linear Regression, Multiple Linear Regression and Robust Regression 11. ExercisesPart III: Correlation versus Regression1. When to Use Correlation2. When to Use Regression3. Similarities, Differences and Relationship Between Correlation and Regression4. Understanding the formulas: How to Calculate Simple Linear Regression Manually5. Exercises

Applied Multivariate Statistics For The Social Sciences

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Author : Keenan A. Pituch
language : en
Publisher: Routledge
Release Date : 2015-12-07

Applied Multivariate Statistics For The Social Sciences written by Keenan A. Pituch and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-07 with Psychology categories.

Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally. Features new to this edition include: NEW chapter on Logistic Regression (Ch. 11) that helps readers understand and use this very flexible and widely used procedure NEW chapter on Multivariate Multilevel Modeling (Ch. 14) that helps readers understand the benefits of this "newer" procedure and how it can be used in conventional and multilevel settings NEW Example Results Section write-ups that illustrate how results should be presented in research papers and journal articles NEW coverage of missing data (Ch. 1) to help students understand and address problems associated with incomplete data Completely re-written chapters on Exploratory Factor Analysis (Ch. 9), Hierarchical Linear Modeling (Ch. 13), and Structural Equation Modeling (Ch. 16) with increased focus on understanding models and interpreting results NEW analysis summaries, inclusion of more syntax explanations, and reduction in the number of SPSS/SAS dialogue boxes to guide students through data analysis in a more streamlined and direct approach Updated syntax to reflect newest versions of IBM SPSS (21) /SAS (9.3) A free online resources site at www.routledge.com/9780415836661 with data sets and syntax from the text, additional data sets, and instructor’s resources (including PowerPoint lecture slides for select chapters, a conversion guide for 5th edition adopters, and answers to exercises) Ideal for advanced graduate-level courses in education, psychology, and other social sciences in which multivariate statistics, advanced statistics, or quantitative techniques courses are taught, this book also appeals to practicing researchers as a valuable reference. Pre-requisites include a course on factorial ANOVA and covariance; however, a working knowledge of matrix algebra is not assumed.

Correlation And Regression

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Author : Philip Bobko
language : en
Publisher: SAGE Publications
Release Date : 2001-04-10

Correlation And Regression written by Philip Bobko and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-04-10 with Business & Economics categories.

". . . the writing makes this book interesting to all levels of students. Bobko tackles tough issues in an easy way but provides references for more complex and complete treatment of the subject. . . . there is a familiarity and love of the material that radiates through the words." --Malcolm James Ree, ORGANIZATIONAL RESEARCH METHODS, April 2002 "This book provides one of the clearest treatments of correlations and regression of any statistics book I have seen. . . . Bobko has achieved his objective of making the topics of correlation and regression accessible to students. . . . For someone looking for a very clearly written treatment of applied correlation and regression, this book would be an excellent choice." --Paul E. Spector, University of South Florida "As a quantitative methods instructor, I have reviewed and used many statistical textbooks. This textbook and approach is one of the very best when it comes to user-friendliness, approachability, clarity, and practical utility." --Steven G. Rogelberg, Bowling Green State University Building on the classical examples in the first edition, this updated edition provides students with an accessible textbook on statistical theories in correlation and regression. Taking an applied approach, the author uses concrete examples to help the student thoroughly understand how statistical techniques work and how to creatively apply them based on specific circumstances they face in the "real world." The author uses a layered approach in each chapter, first offering the student an intuitive understanding of the problems or examples and progressing through to the underlying statistics. This layered approach and the applied examples provide students with the foundation and reasoning behind each technique, so they will be able to use their own judgement to effectively choose from the alternative data analytic options.