Applied Multivariate Statistics For Social Sciences
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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
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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 Social Sciences
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Author : J.P. STEVENS
language : en
Publisher:
Release Date : 2001
Applied Multivariate Statistics For Social Sciences written by J.P. STEVENS and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
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.
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 : Keenan A. Pituch
language : en
Publisher:
Release Date : 2016
Applied Multivariate Statistics For The Social Sciences written by Keenan A. Pituch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Multivariate analysis categories.
Applied Multivariate Statistics For The Social Sciences
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Author : James P. Stevens
language : en
Publisher:
Release Date : 1988-01
Applied Multivariate Statistics For The Social Sciences written by James P. Stevens and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-01 with categories.
This book was written for those who will be using, rather than developing, advanced statistical methods. It focuses on a conceptual understanding of the material rather than proving results. It is a graduate level textbook with abundant examples.
Applied Multivariate Statistics For The Social Sciences
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Author : Stevens
language : en
Publisher: Lawrence Erlbaum Assoc Incorporated
Release Date : 1995
Applied Multivariate Statistics For The Social Sciences written by Stevens and has been published by Lawrence Erlbaum Assoc Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Mathematics categories.
This successful text includes: *coverage of both exploratory and confirmatory factor analysis plus illustrations of LISREL and EQS; *the EXAMINE procedure from SPSSX--terrific for exploring data; *a new section on the doubly multivariate problem in which subjects are measured on several dependent outcome variables at each point in time, or for each treatment/condition; and *added exercises on categorical data analysis and the answers for the more difficult problems. There is a 3.5" disk (free to those adopting the text) of all data sets in the book, along with several large data sets.
Applied Multivariate Statistics For The Social Sciences
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Author : James P. Stevens
language : en
Publisher: Psychology Press
Release Date : 1999-04
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 1999-04 with Multivariate analysis categories.
This successful text includes: *coverage of both exploratory and confirmatory factor analysis plus illustrations of LISREL and EQS; *the EXAMINE procedure from SPSSX--terrific for exploring data; *a new section on the doubly multivariate problem in which subjects are measured on several dependent outcome variables at each point in time, or for each treatment/condition; and *added exercises on categorical data analysis and the answers for the more difficult problems. There is a 3.5" disk (free to those adopting the text) of all data sets in the book, along with several large data sets.
Handbook Of Research Design And Social Measurement
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Author : Delbert C. Miller
language : en
Publisher: SAGE
Release Date : 2002-01-16
Handbook Of Research Design And Social Measurement written by Delbert C. Miller and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-16 with Psychology categories.
"If a student researcher had only one handbook on their bookshelf, Miller and Salkind′s Handbook would certainly have to be it. With the updated material, the addition of the section on ethical issues (which is so well done that I′m recommending it to the departmental representative to the university IRB), and a new Part 4 on "Qualitative Methods", the new Handbook is an indispensable resource for researchers." --Dan Cover, Department of Sociology, Furman University " I have observed that most instructors want to teach methodology "their way" to imbue the course with their own approach; Miller-Salkind allows one to do this easily. The book is both conceptually strong (e.g., very good coverage of epistemology, research design and statistics) and at the same time provides a wealth of practical knowledge (scales, indices, professional organizations, computer applications, etc.) In addition, it covers the waterfront of methodology." --Michael L. Vasu, Director of Information Technology, North Carolina State University "A unique and excellent reference tool for all social science researchers, and a good textbook for graduate students and senior year undergraduate classes. These students are about to enter the real life of research, and need a handy and comprehensive tool as a starting point that offers shortcuts for getting into real research projects. For a small project, the book offers enough information to get the project started. For big projects, the book is ideal for information on where to look for things and examples." --Jianhong Liu, Department of Sociology, Rhode Island College The book considered a "necessity" by many social science researchers and their students has been revised and updated while retaining the features that made it so useful. The emphasis in this new edition is on the tools graduate students and more advanced researchers need to conduct high quality research. Features/Benefits: Provides step-by-step instruction for students′ research training by beginning with how to find a creative idea, a middle-range theory, and initial hypothesis and proceeds through design, proposal, collection and analysis of data followed by writing, reporting and publication Section on scales and indices are organized so that readers can quickly locate and find the type of scale or index in which they may be interested All sections are now followed by useful and well-considered reference sections so that readers can read more about each topic Includes updated coverage on new scales, internal and external validity, and new analytic techniques with extensive references on each Presents extensive coverage of how to prepare manuscripts for publication, including a list of all journals covered by Sociological Abstracts along with the editorial office address and URL for each entry Discusses the importance of policy research with presentation and discussion of specific models as an adjunct to both applied and basic research techniques Provides extensive coverage of funding opportunities including those offered by the National Institutes of Health, the National Science Foundation, and a directory of private funding sources including relevant contact information New to this edition: New Part 4 by John Creswell and Ray Maietta provides a comprehensive introduction to qualitative methods including a review of existing computer applications for collecting and analyzing data New and more current reviews and commentaries have replaced dated or no longer relevant excerpts Thousands of new references on the assessment of important sociological variables as well as references to such topics as statistical analysis, computer applications, and specific topics Thoroughly updated information on the use of computers and online research techniques, including beginning and intermediate material about the Internet and its use by the modern research scientist Coherent and thoughtful review of the most popular statistical analysis software packages New guidelines and discussion of ethical practices in social and behavioral science research, including extensive coverage of institutional review board procedures and activities Expansion of social indicators to include international coverage Plus, there is an extensive and well-organized table of contents with four levels of headings; and, for the first time in the history of the book, a comprehensive index.