Applied Multivariate Statistics For The Social Sciences Fifth Edition

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Applied Multivariate Statistics For The Social Sciences
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Author : James Paul Stevens
language : en
Publisher: Taylor & Francis
Release Date : 2009
Applied Multivariate Statistics For The Social Sciences written by James Paul Stevens and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Education categories.
This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.
Applied Multivariate Statistics For The Social Sciences Fifth Edition
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Author : James P. Stevens
language : en
Publisher: Routledge
Release Date : 2012-11-12
Applied Multivariate Statistics For The Social Sciences Fifth Edition written by James P. Stevens and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Education categories.
This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.
Applied Multivariate Statistics For The Social Sciences
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Author : James Stevens
language : en
Publisher: Psychology Press
Release Date : 1996
Applied Multivariate Statistics For The Social Sciences written by James Stevens and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Education categories.
Of Important Points -- Two-Group Multivariate Analysis Of Variance -- Four Statistical Reasons for Preferring a Multivariate Analysis -- The Multivariate Test Statistic as a Generalization of Univariate t -- Numerical Calculations for a Two-Group Problem -- Three Post Hoc Procedures -- SAS and SPSS Control Lines for Sample Problem and Selected Printout -- Multivariate Significance but No Univariate Significance -- Multivariate Regression Analysis for the Sample Problem -- Power Analysis -- Ways of Improving Power -- Power Estimation on SPSS MANOVA -- Multivariate Estimation of Power -- K-Group Manova: A Priori And Post Hoc Procedures -- Multivariate Regression Analysis for a Sample Problem -- Traditional Multivariate Analysis of Variance -- Multivariate Analysis of Variance for Sample Data -- Post Hoc Procedures -- The Tukey Procedure -- Planned Comparisons -- Test Statistics for Planned Comparisons -- Multivariate Planned Comparisons on SPSS MANOVA -- Correlated Contrasts -- Studies Using Multivariate Planned Comparisons -- Stepdown Analysis -- Other Multivariate Test Statistics -- How Many Dependent Variables for a MANOVA? -- Power Analysis--A Priori Determination of Sample Size -- Novince (1977) Data for Multivariate Analysis of Variance Presented in Tables 5.3 and 5.4 -- Assumptions In Manova -- ANOVA and MANOVA Assumptions -- Independence Assumption -- What Should Be Done With Correlated Observations? -- Normality Assumption -- Multivariate Normality -- Assessing Univariate Normality -- Homogeneity of Variance Assumption.
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.
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
Applied Multivariate Statistics For The Social Sciences
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Author : James P. Stevens
language : en
Publisher: Psychology Press
Release Date : 2009
Applied Multivariate Statistics For The Social Sciences written by James P. Stevens and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Multivariate analysis categories.
This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.
Pay Variation In Family Firms
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Author : Jörg Schäfer
language : en
Publisher: Springer
Release Date : 2016-08-05
Pay Variation In Family Firms written by Jörg Schäfer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-05 with Business & Economics categories.
Jörg Schäfer investigates the influence of family firm specific decision rationales based on socioemotional wealth on vertical and horizontal pay ranges in family firms. Building on a primary data set of over 200 family firms in Germany and applying multiple regression analysis techniques, as well as, the firm conceptual foundation in family firm and compensation theory, the presented study provides answers regarding antecedents of pay variation, and the factors that drive different family firms to pursue and implement specific pay structures and pay variations. Furthermore, the dissertation contributes to the current research discussions, by partially validating the FIBER scale, proving the heterogeneity of family firms and adding robustness to methodology and range measures in the compensation context.
Towards An Xbrl Enabled Corporate Governance Reporting Taxonomy
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Author : Dirk Beerbaum
language : en
Publisher: BoD – Books on Demand
Release Date : 2016-05-25
Towards An Xbrl Enabled Corporate Governance Reporting Taxonomy written by Dirk Beerbaum and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-25 with Business & Economics categories.
Corporate Governance failures of large corporations such as Lehman Brothers have evoked a plethora of calls for changes in Corporate Governance Principles. Despite the fact that after the financial crisis, a number of transnational institutions have called for wide-scale changes related to Corporate Governance Principles by further protecting share-holders’ rights, it has been proven that theoretical extension and reform of Corporate Governance Principles is not enough, because it does not ensure successful implementation. According to a report from Isaksson (2009), corporate disclosures were not in line with OECD principles on good Corporate Governance. Moreover, according to Isaksson (2009), the financial crisis can also be traced back to incomplete Corporate Governance disclosures. One major implementation topic involves Corporate Governance Reporting, which is very complex for multinational companies, as it involves statutory compliance with multiple rules and laws, coping with heterogeneous “Systems of Corporate Governance” (Weimer and Pape, 1999; Leuz et al., 2003; Tylecote and Visintin, 2007) and additionally the compilation of codes (Cadbury, 1993) and industry-specific standards (Mach et al., 2006; Bebchuk and Spamann, 2010). Extensible Business Reporting Language (XBRL) is assumed as a benchmark related to interactive business disclosures (Chen and Sun, 2009; Debreceny et al., 2010; Alles and Piechocki, 2012). Does XBRL have the potential to help to reduce the complexity of companies’ Corporate Governance Reporting (Alles and Piechocki, 2012)? In the academic literature, there are many articles which conclude that it is possible for XBRL to enhance transparency and improve Corporate Governance for financial reporting (Abdullah et al., 2009; Roohani et al., 2010; Alles and Piechocki, 2012; Müller-Wickop et al., 2013): therefore, an additional question is whether the application of XBRL to the non-financial reporting of Corporate Governance can also contribute to enhanced transparency. Within the peer group of listed Foreign Private Issuers on the New York Stock Exchange there is no adequate Taxonomy available.
Management Research By Practitioners
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Author : Reno Symmank
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-05-23
Management Research By Practitioners written by Reno Symmank and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-23 with Business & Economics categories.
This handbook focus on management research by practitioners. The book would not have been possible without the German cohort 6, who set the forum for lively discussions and supported all researchers on their journey to its doctorate. The book is set up in three chapters. Chapter I"One of the main triggers for this thesis was my direct experience of the financial crisis, as it showed that many principles and assumptions that were believed to be "carved in stone" were challenged overnight. Investors lost confidence as Corporate Governance turned out to be very poor in reality, although companies consistently declared in their disclosures that they followed good Corporate governance guidelines". This section develops a Corporate governance reporting taxonomy, which can be used for electronic reporting and is the basis for the digitalisation in accounting. A mixed-method approach s applied which combines qualitative and quantitative research methods. Chapter II deals with an analysis of marketing process governance in multinational enterprises and is based on an empirical analysis of FT500 index corporations. The literature showed, that there is currently little substantial understanding of how activities and processes in marketing can be sourced and geographically relocated. However, there is substantial evidence in scholarly and managerial literature that marketing process reallocation is a subject of increasing attention for the last five years. Chapter III focus on out of stock situations (OOS) in retail stores. One of the major advantages of store-based retail formats is the availability of products. The unavailability of products is a major threat for store-based retail formats as OOS situations are considered to be some of the most displeasing occurrences for consumers, resulting in dissatisfaction. As avoiding or recovering from OOS situations are matters of allocating limited resources (e.g. staff, money) wherever they are most effective, this work recommends actions that retailers can take to manage OOS occurrences at store-based retail formats to increase consumer satisfaction. All three researcher describe in their reflexive diaries how thy managed to be sucessfull on their long jounrney to the finalisation of their thesis. We all three would also like to thank our supervisors and all of our contributors. Let the words speak for themselves.
The Analysis And Interpretation Of Multivariate Data For Social Scientists
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Author : J.I. Galbraith
language : en
Publisher: CRC Press
Release Date : 2002-02-26
The Analysis And Interpretation Of Multivariate Data For Social Scientists written by J.I. Galbraith and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-02-26 with Mathematics categories.
Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>