Handbook Of Univariate And Multivariate Data Analysis And Interpretation With Spss
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Handbook Of Univariate And Multivariate Data Analysis And Interpretation With Spss
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Author : Robert Ho
language : en
Publisher: CRC Press
Release Date : 2006-03-24
Handbook Of Univariate And Multivariate Data Analysis And Interpretation With Spss written by Robert Ho and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-24 with Mathematics categories.
Many statistics texts tend to focus more on the theory and mathematics underlying statistical tests than on their applications and interpretation. This can leave readers with little understanding of how to apply statistical tests or how to interpret their findings. While the SPSS statistical software has done much to alleviate the frustrations of s
Handbook Of Univariate And Multivariate Data Analysis With Ibm Spss
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Author : Robert Ho
language : en
Publisher: CRC Press
Release Date : 2013-10-25
Handbook Of Univariate And Multivariate Data Analysis With Ibm Spss written by Robert Ho and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-25 with Mathematics categories.
Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics
Handbook Of Univariate And Multivariate Data Analysis And Interpretation
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Author : Robert Ho
language : en
Publisher:
Release Date : 2000
Handbook Of Univariate And Multivariate Data Analysis And Interpretation written by Robert Ho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with SPSS for Windows categories.
Univariate Bivariate And Multivariate Statistics Using R
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Author : Daniel J. Denis
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-14
Univariate Bivariate And Multivariate Statistics Using R written by Daniel J. Denis 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 2020-04-14 with Mathematics categories.
A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate Statistics Using R offers a practical and very user-friendly introduction to the use of R software that covers a range of statistical methods featured in data analysis and data science. The author— a noted expert in quantitative teaching —has written a quick go-to reference for performing essential statistical analyses and data management tasks in R. Requiring only minimal prior knowledge, the book introduces concepts needed for an immediate yet clear understanding of statistical concepts essential to interpreting software output. The author explores univariate, bivariate, and multivariate statistical methods, as well as select nonparametric tests. Altogether a hands-on manual on the applied statistics and essential R computing capabilities needed to write theses, dissertations, as well as research publications. The book is comprehensive in its coverage of univariate through to multivariate procedures, while serving as a friendly and gentle introduction to R software for the newcomer. This important resource: Offers an introductory, concise guide to the computational tools that are useful for making sense out of data using R statistical software Provides a resource for students and professionals in the social, behavioral, and natural sciences Puts the emphasis on the computational tools used in the discovery of empirical patterns Features a variety of popular statistical analyses and data management tasks that can be immediately and quickly applied as needed to research projects Shows how to apply statistical analysis using R to data sets in order to get started quickly performing essential tasks in data analysis and data science Written for students, professionals, and researchers primarily in the social, behavioral, and natural sciences, Univariate, Bivariate, and Multivariate Statistics Using R offers an easy-to-use guide for performing data analysis fast, with an emphasis on drawing conclusions from empirical observations. The book can also serve as a primary or secondary textbook for courses in data analysis or data science, or others in which quantitative methods are featured.
Spss Data Analysis For Univariate Bivariate And Multivariate Statistics
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Author : Daniel J. Denis
language : en
Publisher: John Wiley & Sons
Release Date : 2018-09-25
Spss Data Analysis For Univariate Bivariate And Multivariate Statistics written by Daniel J. Denis 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 2018-09-25 with Mathematics categories.
Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks.
Handbook Of Univariate And Multivariate Data Analysis With Ibm Spss Second Edition
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Author : Robert Ho
language : en
Publisher: CRC Press
Release Date : 2013-10-25
Handbook Of Univariate And Multivariate Data Analysis With Ibm Spss Second Edition written by Robert Ho and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-25 with Mathematics categories.
Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second Edition Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation New section on how to deal with missing data Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.
The Essence Of Research Methodology
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Author : Jan Jonker
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-10
The Essence Of Research Methodology written by Jan Jonker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-10 with Business & Economics categories.
Methodology is the ?eld which is indisputably complex. In the academic world, it is often said to be important, yet in everyday academic practice, it is not always treated accordingly. In teaching, methodology is often a mandatory course. Usually, it consists of learning how to adopt several common approaches when doing research, and how to conceive a research design (often leading to a survey). This usually leads to collecting data on a modest scale and – when the opportunity arises – analysing the data with the help of some statistics. Ask the students of their opinion at the end of such a course and they tend to heave a deep sigh of relief and say, “I have got through it. ” Then their real courses start again, in which methodology often does not play a role at all. We are of the opinion that writing-off methodology in this way is a real pity. It ignores the valuable role that methodology should play in academic teaching as a whole. Here, methodology is presented as a form of thinking and acting that, while obviously entailing research work, can also include the design and change of organisations. This broad approach has been purposefully chosen, as it is almost obvious from research and graduation projects that the students do not really have a clue what methodology involves and, therefore, wasting their time by producing work that has a little quality.
A Handbook Of Statistical Analyses Using Spss
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Author : Sabine Landau
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2017-09-11
A Handbook Of Statistical Analyses Using Spss written by Sabine Landau and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-11 with SPSS (Computer file) categories.
Shows how to conduct a range of univariate and multivariate statistical analysis using the Statistical Package for the Social Sciences, version 11. This title addresses various types of analytical procedure that are applied to data sets, primarily from the social and behavioral sciences areas. It is suitable for researchers in psychology.
Analysis Of Multivariate Data With Spss
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Author : Jutta Arrenberg
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-09-09
Analysis Of Multivariate Data With Spss written by Jutta Arrenberg 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 2020-09-09 with Mathematics categories.
The book introduces the most important statistical methods for analyzing multivariate data sets. After reading the book, the reader (female, male) is able to autonomously carry out comprehensive statistical analyzes of data. The steps for finding a solution with SPSS are shown in the book. The individual procedures are explained using easy-to-understand examples to ensure learning success. Previous knowledge of statistics is helpful for reading the book, but not essential. The procedures presented are plausible even without prior basic knowledge of statistics. This book was written over a period of twenty semesters and benefited from the questions raised by the listeners in my lecture.
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.