SCIENTIFIC INVESTIGATION ON UNIVARIATE QUANTITATIVE METHODS

SCIENTIFIC INVESTIGATION ON UNIVARIATE QUANTITATIVE METHODS PDF

Author: Sharipah Soaad Syed Yahya

Publisher: UUM Press

Published: 2016-07-19

Total Pages: 10

ISBN-13: 9670876753

DOWNLOAD EBOOK →

The aim of this book is to deliver the reader with a book where they can discover a brief research idea in statistics and mathematics including a wide range of topics such as t-test, ANOVA, L-moment, centrality measure, Quintic Bézier Triangular Patches, and abelianess in Group Theory. The book is advisable for the readers to have some basic foundation on statistical inference and mathematical formulation prior to reading the chapters in this book. It is also suitable for researchers who want to get up to speed quickly on modern statistical and mathematical approach.

Quantitative Methods for the Social Sciences

Quantitative Methods for the Social Sciences PDF

Author: Daniel Stockemer

Publisher: Springer

Published: 2018-11-19

Total Pages: 185

ISBN-13: 3319991183

DOWNLOAD EBOOK →

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.

Multivariate Tests for Time Series Models

Multivariate Tests for Time Series Models PDF

Author: Jeff B. Cromwell

Publisher: SAGE

Published: 1994

Total Pages: 116

ISBN-13: 9780803954403

DOWNLOAD EBOOK →

Which time series test should researchers choose to best describe the interactions among a set of time series variables? Providing guidelines for identifying the appropriate multivariate time series model to use, this book explores the nature and application of these increasingly complex tests.

Univariate, Bivariate, and Multivariate Statistics Using R

Univariate, Bivariate, and Multivariate Statistics Using R PDF

Author: Daniel J. Denis

Publisher: John Wiley & Sons

Published: 2020-04-14

Total Pages: 384

ISBN-13: 1119549930

DOWNLOAD EBOOK →

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.

Doing Quantitative Research in Education with SPSS

Doing Quantitative Research in Education with SPSS PDF

Author: Daniel Muijs

Publisher: SAGE

Published: 2010-12-31

Total Pages: 266

ISBN-13: 144624234X

DOWNLOAD EBOOK →

This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book′s website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.

Quantitative Data Analysis with Minitab

Quantitative Data Analysis with Minitab PDF

Author: Alan Bryman

Publisher: Routledge

Published: 2003-09-02

Total Pages: 302

ISBN-13: 1134805748

DOWNLOAD EBOOK →

Quantitative data analysis is now a compulsory component of most degree courses in the social sciences and students are increasingly reliant on computers for the analysis of data. Quantitative Data Analysis with Minitab explains statistical tests for Minitab users using the same formulae free, non technical approach, as the very successful SPPS version. Students will learn a wide range of quantitative data analysis techniques and become familiar with how these techniques can be implemented through the latest version of Minitab. Techniques covered include univariate analysis (with frequency table, dispersion and histograms), bivariate (with contingency tables correlation, analysis of varience and non-parametric tests) and multivariate analysis (with multiple regression, path analysis, covarience and factor analysis). In addition the book covers issues such as sampling, statistical significance, conceptualisation and measurement and the selection of appropriate tests. Each chapter concludes with a set of exercises. Social science students will welcome this integrated, non mathematical introduction to quantitative data anlysis and the minitab package.

Statistics for Criminal Justice and Criminology in Practice and Research

Statistics for Criminal Justice and Criminology in Practice and Research PDF

Author: Jack Fitzgerald

Publisher: SAGE Publications

Published: 2013-01-17

Total Pages: 609

ISBN-13: 1452292167

DOWNLOAD EBOOK →

Statistics for Criminal Justice and Criminology in Practice and Research—by Jack Fitzgerald and Jerry Fitzgerald—is an engaging and comprehensive introduction to the study of basic statistics for students pursuing careers as practitioners or researchers in both Criminal Justice and Criminology programs. This student-friendly text shows how to calculate a variety of descriptive and inferential statistics, recognize which statistics are appropriate for particular data analysis situations, and perform hypothesis tests using inferential statistics. But it is much more than a "cook book." It encourages readers to think critically about the strengths and limitations of the statistics they are calculating, as well as how they may be misapplied and misleading. Examples of statistics and statistical analyses are drawn from the worlds of the practitioner as well as the policymaker and researcher. Students will also gain a clear understanding of major ethical issues in conducting statistical analyses and reporting results, as well as insight into the realities of the life of researchers and practitioners as they use statistics and statistical analyses in their day-to-day activities.

Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide

Developing a Protocol for Observational Comparative Effectiveness Research: A User's Guide PDF

Author: Agency for Health Care Research and Quality (U.S.)

Publisher: Government Printing Office

Published: 2013-02-21

Total Pages: 204

ISBN-13: 1587634236

DOWNLOAD EBOOK →

This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)

Analyzing Quantitative Data

Analyzing Quantitative Data PDF

Author: Norman Blaikie

Publisher: SAGE

Published: 2003-02-17

Total Pages: 375

ISBN-13: 1848605374

DOWNLOAD EBOOK →

What basic knowledge and skills do novice researchers in social science require? How can students be helped to over-come `symbol phobia′ or `figure blindness′? This generous and constantly insightful book is designed for social researchers who need to know what procedures to use under what circumstances, in practical research projects. It accomplishes this without requiring an in-depth understanding of statistical theory, but also avoids both trivializing procedures or resorting to `cookbook′ techniques. Among the key features of the book are: - Accessibility - Organization of the wide, often bewildering array of methods of data analysis into a coherent and user-friendly scheme of classification: types of analysis and levels of measurement - Demystification - the first chapter unpacks commonly taken-for-granted concepts such as `analysis′, `data′ and `quantitative′ - Location of methods in real research problems The book is a triumphant introduction to the theory and practice of quantitative methods. It will quickly establish itself as essential reading for students doing social research throughout the social sciences. `With this book Norman Blaikie retains his reputation as the leading rapporteur and raconteur of social research methodology. With many other introductory texts, data analysis becomes just an exercise unto itself, and students (sometimes) learn to go through the motions without really knowing why. After working with Blaikie′s text, novice researchers will know why quantitative inquiry is important′ - Ray Pawson, University of Leeds

Lanterna Rally - Theme by Grace Themes