RSU BIBLIOTĒKA
VIRTUĀLĀ IZSTĀDE
Kvantitatīvā pētniecība un
statiskās analīzes metodes
GRĀMATU SARAKSTS
Bibliotēkas krājumā esošo kvantitatīvās pētniecības un statiskās analīzes metožu grāmatu virtuālā izstāde
Doing Survey Research : a Guide to Quantitative Methods
Peter M. Nardi. 2018.
ISBN 9781138043398.
Understanding the components that go into scientific research and learning how to do research, make decisions about which statistics to use, and analyze statistical findings are goals for everyone in today's research-oriented world. Questions about the reliability and validity of data from a study or public opinion poll come up routinely and need critical review. This book contributes to achieving these objectives. Doing Survey Research is intended for people who want to learn how to conduct quantitative studies for a project in an undergraduate course, a graduate-level thesis, or a survey that an employer may want completed. This brief, practical textbook prepares beginners to conduct their own survey research and write up the results, as well as read and interpret other people's research. It combines survey design with data analysis and interpretation.
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Research Design : Qualitative, Quantitative, and Mixed Methods Approaches
John W. Creswell. 2018.
ISBN 9781506386768.
This best-selling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions, key elements of the research process, a review of the literature, an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry.
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Quantitative Methods for Health Research : a Practical Interactive Guide to Epidemiology and Statistics
Nigel G. Bruce, Daniel Pope, Debbi L. Stanistreet. 2018.
ISBN 9781118665411.
This comprehensive text, which has been extensively revised with new material and additional topics, utilizes a practical slant to introduce health professionals and students to epidemiology, biostatistics, and research methodology. It draws examples from a wide range of topics, covering all of the main contemporary health research methods, including survival analysis, Cox regression, and systematic reviews and meta-analysis―the explanation of which go beyond introductory concepts. This second edition of Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics also helps develop critical skills that will prepare students to move on to more advanced and specialized methods.
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Statistics for Nursing : a Practical Approach
Elizabeth Heavey. 2018.
Online access. ISBN 9781284142020 (PDF).
Statistics for Nursing: A Practical Approach, Third Edition is designed in accordance with the Conversation Theory of Gordon Pask and presents the complicated topic of statistics in an understandable manner for entry level nurses.
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Quantitative Methods in Pharmaceutical Research and Development : concepts and applications
Olga V. Marchenko, Natallia V. Katenka. 2020.
Online access. ISBN 9783030485559 (PDF).
This contributed volume presents an overview of concepts, methods, and applications used in several quantitative areas of drug research, development, and marketing. Chapters bring together the theories and applications of various disciplines, allowing readers to learn more about quantitative fields, and to better recognize the differences between them. Because it provides a thorough overview, this will serve as a self-contained resource for readers interested in the pharmaceutical industry, and the quantitative methods that serve as its foundation.
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Quantitative Research Methods for Social Work : making social work count
Barbra Teater, John Devaney, Donald Forrester. 2017.
Online access. ISBN 9781137400260. (PDF).
Quantitative research makes a very important contribution to both understanding and responding effectively to the problems that social work service users face. In this unique and authoritative text, a group of expert authors explore the key areas of data collection, analysis and evaluation and outline in detail how they can be applied to practice.
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Teaching Statistics and Quantitative Methods in the 21st Century
Edited by Joseph Lee Rodgers. 2020.
ISBN 9781138336865.
This work, which provides a guide for revising and expanding statistical and quantitative methods pedagogy, is useful for novice and seasoned instructors at both undergraduate and graduate levels, inspiring them to use transformative approaches to train students as future researchers.
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Quantitative Methods for the Social Sciences : A Practical Introduction with Examples in SPSS and Stata
Daniel Stockemer. 2019.
ISBN 9783319991177.
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.
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Introducing Quantitative Methods : a Practical Guide
Daniela Aidley. 2019.
ISBN 9781137487216.
This exciting new core textbook offers a clear and practical introduction to quantitative methods, taking a project-based approach. The author's extensive knowledge and straightforward writing style ensure that students are steered through the process step-by-step, from developing research questions and preparing data for analysis, to explaining how to present data in appropriate formats, avoid bias, and write up results and reports. Featuring a comprehensive pedagogical framework and companion website, readers are encouraged to follow practice analyses as they go, with examples given in both SPSS and Excel, and templates are provided for students' own research. In addition to covering the research project, chapters also cover the essential mathematical and statistical analyses that are a logical consequence of posing a quantitative research methods question.
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Research Design and Method Selection : Making Good Choices in the Social Sciences
Diana Panke. 2018.
ISBN 9781526438638.
Heavily grounded in helping students make the best choices for their projects, this book explores how to develop and work with theory, research questions, and method selection to build solid, logical proposals and move from research concepts to fully realized designs. Rather than rushing initial planning stages or reverse engineering questions from preferred methods, it encourages students to challenge unconscious biases around method selection and analysis and provides step-by-step guidance on choosing a method that is in-line with the question being explored. Focused on the role of the researcher within research design, it stresses the need to consider the theoretical underpinnings of research and not just practical issues when designing a project.
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Quantitative Research Methods in Communication : the Power of Numbers for Social Justice
Erica Scharrer and Srividya Ramasubramanian. 2021.
ISBN 9780367547851.
This textbook is an advanced introduction to quantitative methods for students in communication and allied social science disciplines that focuses on why and how to conduct research that contributes to social justice. Today's researchers are inspired by the potential for scholarship to make a difference for society, to push toward more just and equitable ends, and to inform members of the public so that they can make decisions about how to navigate the social, cultural, and political world equipped with accurate, fair, and up-to-date knowledge. This book illustrates the mechanics and the meaning behind quantitative research methods by drawing extensively from studies conducted by researchers addressing questions of social justice and the transformation of structures, practices, and understandings in society through community and civic engagement and policy formation.
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Research Methods in Anthropology : Qualitative and Quantitative Approaches
H. Russell Bernard. 2018.
ISBN 9781442268883.
H. Russell Bernard's Research Methods in Anthropology, Sixth Edition, is the standard for learning about the range of methods for collecting and analyzing qualitative and quantitative data about human thought and human behavior.
In the first section of the book, students learn the elements of research design, including how to choose a research topic, how to develop research questions and hypotheses, and how to choose an appropriate sample for their research.
In the next section, students learn the methods of data collection, including: open-ended interviewing, questionnaire design, participant observation, direct and indirect observation, building scales in the field, and taking and managing field notes. This section also introduces the methods for cultural domain analysis and network analysis.
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Writing up Quantitative Research in the Social and Behavioral Sciences
Fallon Fallon. 2016.
Online access. ISBN 9463006079. (PDF).
The Teaching Writing series publishes user-friendly writing guides penned by authors with publishing records in their subject matter. Infused with multidisciplinary examples, humor, and a healthy dose of irreverence, Fallon helps emerging researchers successfully navigate the intellectual and emotional challenges of writing quantitative research reports. After reinforcing foundations in methodology, statistics, and writing in the first section of the book, emerging researchers work through a series of questions to construct their research report. The final section contains sample papers generated by undergraduates illustrating three major forms of quantitative research - primary data collection, secondary data analysis, and content analysis.
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Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R)
Jenkins-Smith, H., Ripberger, J., Copeland, G., Nowlin, M., Hughes, T., Fister, A., & Wehde, W. 2017.
Open Access.
The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models.
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Using Stata for Quantitative Analysis
Kyle Longest. 2019.
Online access. ISBN 1544318529. (PDF).
Proposing to teach the language of stata from an intuitive perspective, furthering students' overall retention, the third edition has been thoroughly updated for STATA 15, with an appendices for users working with STATA 13 and 14.
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Generalized Linear Models for Bounded and Limited Quantitative Variables
Smithson, Michael; Shou, Yiyun. 2019.
Online access. ISBN 1544334532. (PDF).
The book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.
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Analysing Quantitative Survey Data for Business and Management Students
Dawson, Jeremy. 2017.
Online access. ISBN 9781473907515 (PDF).
Part of SAGE’s Mastering Business Research Methods, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. In Analysing Quantitative Survey Data for Business and Management Students, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book.
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Introduction to Quantitative Methods in Business: with Applications Using Microsoft Office Excel
Kolluri, Bharat ; Panik, Michael J ; Singamsetti, Rao N. 2016.
Online access. ISBN 9781119220978. (PDF).
Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations.
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Some Quantitative Methods and Models in Economic Theory
Alexander V. Prasolov. 2016.
Online access. ISBN 1-63484-937-X. (PDF).
This book takes an intermediate place between monographs and textbooks: on the one hand, it contains known, yet unusually portrayed facts, and on the other hand, the author brings his own results corresponding to the field of research. It is already obvious from the title that while reading the book, attention and concentration are required, as it is always necessary when studying books with mathematical content.
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Conducting Qualitative and Quantitative Research with Children of Different Ages
Platt, Lucinda. 2016.
Online access. (PDF).
Even from young ages, children can provide rich and accurate information about their lives. They can also help to tell us which questions we should be asking them. But there are specific issues to consider when carrying out research with children in order to obtain the most accurate and meaningful information about their lives, attitudes and perspectives. This Guide outlines these issues, which include question comprehension, recall of events over different time periods, compliance or willingness to provide the expected answer, salience of the information sought, and peer influences. It maps how they evolve with the age of the child and the implications for the design of research instruments.
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Easy R : Access, Prepare, Visualize, Explore Data, and Write Papers
Elizabeth Gohmert, Quan Li and Douglas Wise. 2021.
ISBN 9781544379418.
This book is built on the premise that anyone can learn to use the R software. The authors emphasize using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. After a first chapter on installing the software and project setup, the second chapter shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods).
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Applied Multivariate Statistical Analysis
Wolfgang Härdle, Léopold Simar. 2020.
Online access. ISBN 9783030260064. (PDF).
This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis.For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform.
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Statistiskās analīzes metodes pētījumā
Silvija Kristapsone. 2020.
ISBN 9789934543241.
Statistiskās analīzes metodes pētījumā sniedz pētījuma hipotēžu (vai pētījuma jautājumu) pierādīšanai iespējami pielietojamo statistisko metožu teorētisko skaidrojumu, papildinot apskatītās metodes ar praktisku piemēru risinājumiem Excel rīkā Data Analysis un SPSS programmā, kas atbilst bakalaura līmeņa prasībām studiju programmās, kas nav tieši saistītas ar ekonomiku un biznesu.
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Discovering Statistics Using IBM SPSS Statistics
Andy Field. 2018.
ISBN 9781526419514.
With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. What’s brand new: A radical new design with original illustrations and even more colour A maths diagnostic tool to help students establish what areas they need to revise and improve on.
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Learning SAS by Example : a Programmer's Guide
Ron Cody. 2018.
Online access. ISBN 9781635266566. (PDF).
Learn to program SAS by example! Learning SAS by Example, A Programmer's Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works.
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An Introduction to Data Analysis : Quantitative, Qualitative and Mixed Methods
Tiffany Bergin. 2018.
ISBN 9781446295144.
Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media.
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Data Mining with R : Learning with Case Studies
Luís Torgo. 2017.
Online access. ISBN 9781315399096. (PDF).
Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R. The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document.
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Medical Statistics : an A-Z Companion
Filomena Pereira-Maxwell. 2018.
ISBN 9781444167344.
Medical Statistics: An A-Z Companion is an invaluable, jargon-free aid ideal for medical, allied health and biomedical science students and researchers, clinicians and health care practitioners. A revised and extended second edition of the well-received A-Z of Medical Statistics, the book provides clear and succinct explanations, clarifying meaning and showing the interdependencies between important concepts.
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Bayesian Methods in Pharmaceutical Research
Emmanuel Lesaffre, Gianluca Baio, and Bruno Boulanger. 2020.
Online access. ISBN 9781032241524. (PDF).
Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients. This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients.
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Essential Medical Statistics
Betty R. Kirkwood, Jonathan A.C. Sterne. 2017.
ISBN 9780865428713.
The second edition of Essential Medical Statistics has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data.
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Practical Statistics for Medical Research
Douglas G. Altman. 1999.
ISBN 9780412276309.
Most medical researchers, whether clinical or non-clinical, receive some background in statistics as undergraduates. However, it is most often brief, a long time ago, and largely forgotten by the time it is needed. Furthermore, many introductory texts fall short of adequately explaining the underlying concepts of statistics, and often are divorced from the reality of conducting and assessing medical research. Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.
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Statistics for International Social Work and Other Behavioral Sciences
Lee, Serge; Dinis, Maria Cesaltina da Silveira Nunes; Lowe, Lois; Anders, Kelly. 2016.
Online access. ISBN 9780199379552. (PDF).
This book focuses on the most commonly encountered statistical methods used by social workers, informed by the guiding teaching philosophy that, to best understand statistics, students should be presented with a progression of concepts and calculations based on traditional manual computations as well as modernized computerized analysis tools.
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Statistics with R : Solving Problems Using Real-world Data
Jenine K. Harris. 2021.
ISBN 9781506388151.
Drawing on examples from across the social and behavioral sciences, Statistics with R: Solving Problems Using Real World Data introduces upper-level undergraduates and first-year graduate students to statistics, research, and the R software through an exploration of the world's "tricky problems" faced by the book's characters. Inspired by the programming group "R Ladies," the book's "R Team" works together to master the skills of statistical analysis and data visualization to untangle real-world messy data using R. The storylines draw students in to solving interesting real problems, leading them step-by-step through full-color illustrations of R statistics and interactive exercises. This is the first student-friendly text to integrate foundational concepts with beginner-friendly R programming to guide students towards real-world application of statistical problems.
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Doing Data Science in R : an Introduction for Social Scientists
Mark Andrews. 2021.
ISBN 9781526486776.
This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.
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Introduction to R for Social Scientists : a Tidy Programming Approach
Ryan Kennedy, Philip Waggoner. 2021.
ISBN 9780367460723.
Introduction to R for Social Scientists : A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners.
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Statistical Methods for the Social Sciences
Alan Agresti. 2018.
ISBN 9781292220314.
Statistical Methods for the Social Sciences, 5th Edition, Global Edition, by Alan Agresti, introduces you to statistical methods used in social science disciplines with no previous knowledge of statistics necessary. With an emphasis on concepts and applications, the book requires only a minimal mathematical background, maintaining a low technical level throughout to make it accessible to beginners. The 5th edition has a strong focus on real examples to help you learn the fundamental concepts of sampling distributions, confidence intervals, and significance tests. This approach also helps you understand how to apply your learning to the real world. This edition also emphasises the interpretation of software output rather than the formulas for performing analysis, reflecting advances in statistical software - which are more frequently used by social scientists to analyse data today.
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Statistics for People who (Think they) Hate Statistics : Using Microsoft Excel 2016
Neil J. Salkind, University of Kansas. 2017.
ISBN9781483374086.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
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Applied Multivariate Statistics for the Social Sciences : Analyses with SAS and IBM's SPSS
Keenan A. Pituch and James P. Stevens. 2016.
ISBN 9780415836661.
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.
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Multivariate Data Analysis
Joseph F. Hair, Jr. [and others]. 2019.
ISBN 9781473756540.
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.
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Research Methods and Statistics in Psychology
Hugh Coolican. 2019.
ISBN 9781138708969.
The seventh edition of Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of experimental, interviewing and observational methods, psychological testing, qualitative methods and analysis and statistical procedures which include nominal level tests, multi-factorial ANOVA designs, multiple regression, log linear analysis, and factor analysis. It features detailed and illustrated SPSS instructions for all these and other procedures, eliminating the need for an extra SPSS textbook.
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Statistical Anthropology
Ian Walters. 2017.
ISBN 9781432791476.
This book addresses analyses of various topics in anthropology using a statistical approach. The objective is to demonstrate for readers, via discussion of a range of simple examples which illustrate the theme, that statistical thinking can provide useful and important insights into interpretation of patterns of the cultural past or the social present.
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