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8 Good Books on Quantitative Research

By Med Kharbach, PhD | Published: June 20, 2023 | Updated: August 5, 2024

Having navigated the intricate landscape of academic research during my doctoral studies, I understand the crucial role that high-quality, accessible resources play. With this post, I aim to offer fellow researchers and anyone interested in social research a meticulously selected collection of books on quantitative research.

Quantitative research emphasizes objectivity and measurement, representing a broad and nuanced field. The books I’ve chosen delve into its theoretical foundations, practical implementations, and the interpretative challenges it poses. Each book was picked for its thoroughness, clarity, and utility, providing a solid base for anyone eager to explore quantitative methods.

This selection is designed to support researchers at all levels. Whether you’re refining sophisticated survey techniques or navigating complex statistical analyses, these books address essential aspects of the quantitative research process.

For those of you interested in qualitative research, check out my other post entitled best books on qualitative research .

1. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches , by John W. Creswell and J. David Creswell

This widely recognized book offers a comprehensive study of qualitative, quantitative, and mixed research methodologies. Its distinguishing feature is its juxtaposition of all three research designs, making it a valuable resource for both new and experienced researchers. The authors provide a meticulous guide that starts with a fundamental understanding of philosophical suppositions, essential aspects of the research process, literature review, theory application in research, and the significance of writing and ethics in academic inquiry.

The updated edition includes a detailed discussion on research proposal design and research study steps. It sheds light on the positioning of epistemological and ontological views in relation to the selected research question and methodology. It also delves into the transformative worldview and features expanded insights into case studies, participatory action research, visual methods, and action research in mixed methods.

2. Quantitative Research in Education: A Primer , by Wayne K. Hoy and Curt M. Adams

This book is a practical guide to help you with your quantitative research. The authors first introduce readers to the nature of research and science, before presenting the meaning of concepts and research problems. They aim to dispel the notion that quantitative research is overly difficult, too theoretical, and lacks practicality.

The book is rich with concrete examples and illustrations, and emphasizes conceptual understanding and the practical use of quantitative methods while teaching strategies for developing original research hypotheses.

3. Quantitative and Statistical Research Methods , by William E. Martin and Krista D. Bridgmon

This user-friendly textbook helps students to understand and apply procedural steps in carrying out quantitative studies. It explains statistics while guiding readers through the steps of the hypothesis-testing process, from hypothesis to results.

The book offers a hands-on resource for each chapter, covering a single research problem and providing directions for implementing the research method from start to finish. It also features a Research Analysis and Interpretation Guide to help students analyze research articles.

4. Quantitative Research Methods for Communication , by Jason S. Wrench, Candice Thomas-Maddox, and Virginia Peck Richmond

This book provides a relevant and accessible guide to quantitative research in the field of communication. The authors encourage students to take an active role in the learning process, equipping them with the tools needed to locate, conduct, collect, and present their research.

The authors use real communication studies and data sets to make communication research relatable for students. The text features chapter objectives, case studies, data sheets, and key terms throughout to facilitate learning.

Related: Books on Mixed Methods Research

5. Doing Survey Research: A Guide to Quantitative Methods , by Peter M. Nardi

This book is a practical guide for those who want to learn how to conduct quantitative studies, either for an undergraduate project, a graduate-level thesis, or a survey that an employer may require. The book prepares beginners to conduct their own survey research, write up the results, and understand and critically interpret other people’s research.

6. Quantitative Methods for the Social Sciences , by Daniel Stockemer

This textbook provides an essential introduction to survey research and quantitative methods. The book guides students through the various steps of the survey research process and helps them apply those steps toward a real example.

More specifically, the book introduces students to the importance of survey research, preparing a survey, conducting a survey, and analyzing a survey.

Students are shown how to create their own questionnaire, achieve empirical findings, and use the data to test their hypotheses in a bivariate and multivariate realm. Additionally, the book explains the theory, rationale, and mathematical foundations of these tests, and provides instructions on how to conduct the tests in SPSS and Stata.

7. Quantitative Research Methods: From Theory To Publication , by Dr. Nicholas Harkiolakis

This book covers the vast majority of quantitative methods found in social sciences research. The author designed the book based on his years of experience teaching quantitative methods courses for graduate programs in Europe and the USA. The book is intended for readers who don’t have a background in quantitative research.

All concepts presented in this book are defined and introduced, and alternative and overlapping expressions and keywords used in quantitative research are presented to enhance the reader’s understanding.

The book includes examples that are easily replicated in spreadsheets like Excel, and provides commands for executing the various methods for SPSS in footnotes. The book’s website provides additional material for executing the methods discussed, as well as all book images in higher resolution and links to other sources online.

8. Quantitative Research for the Qualitative Researcher , by Laura M. O′Dwyer and James A. Bernauer

This book underlines the complementary nature of quantitative and qualitative research and elucidates the fundamental structure and purposes of design, measurement, and statistics within the framework of a research report, including a dissertation.

The text encourages the reader to perceive quantitative methodology as a process for systematically discovering new knowledge that can help describe, explain, and predict the world around us.

Final thoughts

Wrapping up this compilation of insightful reads on quantitative research, it’s clear that each of these books brings something unique to the table, making them indispensable resources for researchers at various stages of their careers. From the foundational understanding of quantitative methods to advanced statistical analysis, these books collectively cover a spectrum of topics that are vital for conducting robust and meaningful research. The practical advice, real-life examples, and step-by-step guides provided across these texts are designed to demystify the world of quantitative research, making it more accessible and less daunting, regardless of your level of expertise.

Related Posts

Meet Med Kharbach, PhD

Dr. Med Kharbach is an influential voice in the global educational landscape, with an extensive background in educational studies and a decade-long experience as a K-12 teacher. Holding a Ph.D. from Mount Saint Vincent University in Halifax, Canada, he brings a unique perspective to the educational world by integrating his profound academic knowledge with his hands-on teaching experience. Dr. Kharbach's academic pursuits encompass curriculum studies, discourse analysis, language learning/teaching, language and identity, emerging literacies, educational technology, and research methodologies. His work has been presented at numerous national and international conferences and published in various esteemed academic journals.

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Introduction to Quantitative Research Methods An Investigative Approach

• Mark Balnaves - University of Newcastle, UK
• Peter Caputi - University of Wollongong, Australia
• Description

The original CD-ROM accompanying the book and its content are no longer available.

I like how it's organized!

A must for anyone interested in research. Clear, focussed and easy to understand. All you need to get your research started.

A very useful text, that helps students understand the basics of quantitative research methods. Very user friendly, and will be recommending this to my students within the social sciences.

Good comprehensive text on quantitative research methods

Very useful text, well written, comprehensive coverage of basics of statistics and quantitative research methods. Easy to follow and sociologically interesting examples. I find this book very useful as a supplementary text in teaching an undergraduate quantitative research methods course.

Very good read, with lots of key elements we are looking to involve within the course

I recommended adoption to the course monitor, but they did not adopt. I recommend this text to my students though. Thank you.

Balnaves introduction to the (quantitative) research process is a good source for students of the social sciences who look for an accessible and comprehensive explication of standard requirements of their practice. The book is well-written without oversimplifying complicated issues.

A good 'all round' introductory text. I will be using this with Masters Level students as it provides a good overview of different research techniques. The book is also user friendly and written in language which is easy to read and understand.

This is a particularly useful introduction to quanititative methods that is relevant for a wide range of social science disciplines including law.

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10 Best Research Books For Qualitative And Quantitative Research

Research books are designed to help you improve your research skills and conduct studies more effectively. So, if you’re on the hunt for research materials, check out our collection of the best research books!

Research methodology comes in many shapes and forms. Regardless of whether you are interested in qualitative or quantitative research, it is essential to find a book that can help you plan your research project adequately.

Research design can vary from hard sciences to social sciences, but data analysis following a case study is usually similar. Therefore, you need a practical guide that can help you complete a research project and finish your research paper—interested in this field of topic? You’ll love our round-up of the best books for quantum physics !

1. Qualitative Research: A Guide To Design And Implementation, 4th Edition

2. research design: qualitative, quantitative, and mixed methods approaches, 4th edition, 3. the research methods knowledge base, 3rd edition, 4. the craft of research, 5. doing your research project: open up study skills, 5th edition, 6. qualitative inquiry and research design: choosing among five approaches, 3rd edition, 7. the essential guide to doing your research project, 2nd edition, 8. introducing research methodology: a beginner’s guide to doing a research project, 2nd edition, 9. the sage handbook of qualitative research, 5th edition, 10. research methods in education, 7th edition, the final word on the best research books, what is the difference between quantitative research and qualitative research, how do i figure out which academic journal to publish my research in.

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Popular Research Books to Read

When someone talks about qualitative research in academia, they refer to research that focuses on overall concepts and takeaways instead of complex numbers. For those conducting academic research, understanding the basics of this process is critical. Qualitative Research: A Guide to Design and Implementation , by Sharan B. Merriam and Elizabeth J. Tisdell, 4th edition, is one of the best books available because it focuses on action research, mixed methods, online data sources, and some of the latest technology that people can use to complete their projects.

A significant portion of this book focuses on data analysis software packages, which have become critically important in an era where publishing in the best academic journals is critical for every successful researcher. Finally, this book explains topics so that nearly everyone can understand.

Suppose you are looking for a book that can teach you the best research methodology. In that case, you will want to check out Research Design: Qualitative, Quantitative, and Mixed Methods Approaches by John W. Creswell, 4th edition. John Creswell is one of the most well-respected writers in case study research.

As books on how to research go, this one on quantitative and qualitative research methods is a great tool that will help you learn the basics of forming a research project in every field. This book covers philosophical assumptions and research projects, theory and research approaches, and conducts an effective literature review. These elements are also crucial in helping you form a step-by-step guide for your upcoming research project, and this book will teach you the basics of data analysis.

The first two editions were already solid, but the third edition of The Research Methods Knowledge Base , by William M.K. Trochim and James P. Donnelly, features many updates to quantitative and qualitative research methods, teaching graduate students the basics of data collection before diving into the details for more advanced learners.

One of the significant advantages of this text is that it is a comprehensive tool that can be used for both undergraduate and graduate-level courses. It has a relatively informal style and conversational feel, which means readers will not be intimidated by walls of text. The research methods it teaches are straightforward, applicable, and relevant to anyone looking to complete a research project in the current era.

The Craft of Research , by Wayne C. Booth, Gregory C. Colomb, and Joseph M. Williams, covers various research approaches that teach everyone the basics of forming a solid research project. In particular, this book focuses on what to do with the data after it has been collected.

People need to think about how their readers will interpret the structure of the paper, proactively anticipating questions they might have. By answering the reader’s questions in the initial version of the paper, it is easier to hold their attention from start to finish.

Of course, one of the most critical questions that must be asked when writing a research paper is, “so, what? Why does this information matter?” Researchers can keep this in mind while writing the introduction and conclusion of the paper so they will have an easier time constructing a powerful academic manuscript that is more likely to be accepted into the top academic journals.

Doing Your Research Project: Open Up Study Skills , by Judith Bell, is a must-read for new researchers looking to make their way in academic research. This book is helpful because it teaches people how to conduct a research project using step-by-step advice. A research project can be daunting for new learners because it’s easy to focus on the final project and feel intimidated before taking the first step.

This book is indispensable because it teaches people everything they need to know to develop a research project, draft a hypothesis, carry out the project, and finalize a research paper after conducting detailed data analysis. Furthermore, this text will dive into common mistakes, pitfalls, and obstacles researchers need to overcome. Time is your most valuable resource, and nobody wants to spend time on trials that will not be relevant to the final project.

Qualitative Inquiry And Research Design: Choose Among Five Approaches , 3rd Edition, Is The Latest In A Line Of Best-Selling Research Books From Creswell. This Book Ties Into People’s Philosophical Underpinnings When Developing A Research Project. It Also Looks At The History Of Various Research Projects, Which Serve As An Example For The Reader.

Overall, there are five traditions in qualitative research; grounded theory, phenomenology, narrative research, case study, and ethnography. Creswell uses an accessible writing style to help the reader understand when to use each of these narratives. Then, he dives into strategies for writing research papers using each of these approaches.

The Essential Guide To Doing Your Research Project by Zina O’Leary is geared more toward young learners. As books on how to research, it focuses on how to develop a research project, analyze data, and write up the results. Every stage of the book is clearly explained, with the author specifying why it is essential to carry out that step correctly.

It also focuses on practical tips and tricks that learners can use to successfully carry out their research projects. The book includes helpful chapter summaries, a complete glossary, and boxed definitions for essential terms that should not be overlooked. The author also has a variety of suggestions for further reading, which is helpful for more advanced learners who may want to pick up a text that is a bit more detailed. Finally, the book also comes with access to a companion website. The website includes journal articles, real projects, worksheets, and podcasts.

Introducing Research Methodology: A Beginner’s Guide to doing a research project, by Uwe Flick is ideal for new researchers. the author guides readers through the fundamentals that underpin a strong research project. He focuses on essential steps, common mistakes, and ways to expedite the research process.

Then, the author dives into some of the most critical skills readers need to have if they want to collect and analyze data properly. he goes into basic organizational tactics that make data easier to interpret, explains how to shorten the analytical process, and dives into real-life quantitative and qualitative research methods. He uses his research as an example, explaining to people how to pull out the essential parts of the research project before writing them up.

The SAGE Handbook of Qualitative Research by Norman K. Denzin and Yvonna S. Lincoln focuses on global research. This text teaches readers how to synthesize existing literature, identify current research, and focus on caps that can be filled. the authors gather contributions from some of the most well-renowned researchers, addressing issues in research projects today. This text focuses more on research regarding social justice therefore, this is better for people in the social sciences.

Research Methods in Education , by Louis Cohen, Lawrence Manon, and Keith Morrison, is essential for students and professional researchers who want to learn how to create a comprehensive research project. It’s broken up into helpful chapters wrapped up by a convenient summary at the end, explaining to readers how to hit the high points.

Research Methods in Education also comes with a helpful companion website that contains PowerPoint slides for every chapter. This book can be read independently and discussed with a classroom full of students. The book has been written at a level that is accessible even to high school students, but the basics can be a helpful review for graduate researchers.

Academic research comes in many shapes and forms, with qualitative and quantitative research having high points; however, the basics are the same across all fields. Researchers need to learn how to develop a hypothesis, put together a research methodology, collect their data, interpret it, and write up their findings.

It can be helpful to use the books about research above to refine your research methods . Each book focuses on a slightly different facet of academic research, so readers need to find the right book to meet their needs. With a substantial text, readers can avoid common mistakes, follow in the footsteps of successful researchers, and increase their chances of writing a solid research paper for school or getting their paper accepted into an academic journal.

Books About Research FAQs

Quantitative research focuses more on numbers and statistics. This type of research is more common in hard sciences such as biology, chemistry, and physics.

Qualitative research focuses more on overall meanings and concepts. This type of research is more common in social sciences such as anthropology, archaeology, and research topics focusing on social justice.

It would help compare prior articles in that academic journal to the article you have written. Most academic journals focus on a specific field, and you need to submit your article to a publication that shares research articles similar to your own. Be sure to consider the prestige of the journal before submitting your paper.

If you enjoyed this round-up of the best research books, you might also like our top 11 essay writing tips for students .

• The Chicago School
• The Chicago School Library
• Research Guides

Quantitative Research Methods

Key resources.

• What is Quantitative Research?
• eBooks in the Library
• Quantitative Software
• Finding Qualitative Studies

Start here:

SAGE Research Methods is a comprehensive and easy to search database, which includes:

• books (including the Little Green Book series), 
• encyclopedias,
• ...and more on research design and methodology.

Use Sage Research Methods to also explore Datasets , including step-by-step guides and sample data, or explore Cases where you can learn about methods application and research design with stories from researchers in the field.

SAGE also hosts  Methodspace , an online community with articles, blogs, peer to peer knowledge sharing, and more.

eBooks on Quantitative Research:

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• Last Updated: Aug 20, 2024 5:29 PM
• URL: https://library.thechicagoschool.edu/quantitative

A Quick Guide to Quantitative Research in the Social Sciences

(12 reviews)

Christine Davies, Carmarthen, Wales

Copyright Year: 2020

Last Update: 2021

Publisher: University of Wales Trinity Saint David

Language: English

Formats Available

Conditions of use.

Learn more about reviews.

Reviewed by Jennifer Taylor, Assistant Professor, Texas A&M University-Corpus Christi on 4/18/24

This resource is a quick guide to quantitative research in the social sciences and not a comprehensive resource. It provides a VERY general overview of quantitative research but offers a good starting place for students new to research. It... read more

Comprehensiveness rating: 4 see less

This resource is a quick guide to quantitative research in the social sciences and not a comprehensive resource. It provides a VERY general overview of quantitative research but offers a good starting place for students new to research. It offers links and references to additional resources that are more comprehensive in nature.

Content Accuracy rating: 4

The content is relatively accurate. The measurement scale section is very sparse. Not all types of research designs or statistical methods are included, but it is a guide, so details are meant to be limited.

Relevance/Longevity rating: 4

The examples were interesting and appropriate. The content is up to date and will be useful for several years.

Clarity rating: 5

The text was clearly written. Tables and figures are not referenced in the text, which would have been nice.

Consistency rating: 5

The framework is consistent across chapters with terminology clearly highlighted and defined.

Modularity rating: 5

The chapters are subdivided into section that can be divided and assigned as reading in a course. Most chapters are brief and concise, unless elaboration is necessary, such as with the data analysis chapter. Again, this is a guide and not a comprehensive text, so sections are shorter and don't always include every subtopic that may be considered.

Organization/Structure/Flow rating: 5

The guide is well organized. I appreciate that the topics are presented in a logical and clear manner. The topics are provided in an order consistent with traditional research methods.

Interface rating: 5

The interface was easy to use and navigate. The images were clear and easy to read.

Grammatical Errors rating: 5

I did not notice any grammatical errors.

Cultural Relevance rating: 5

The materials are not culturally insensitive or offensive in any way.

I teach a Marketing Research course to undergraduates. I would consider using some of the chapters or topics included, especially the overview of the research designs and the analysis of data section.

Reviewed by Tiffany Kindratt, Assistant Professor, University of Texas at Arlington on 3/9/24

The text provides a brief overview of quantitative research topics that is geared towards research in the fields of education, sociology, business, and nursing. The author acknowledges that the textbook is not a comprehensive resource but offers... read more

Comprehensiveness rating: 3 see less

The text provides a brief overview of quantitative research topics that is geared towards research in the fields of education, sociology, business, and nursing. The author acknowledges that the textbook is not a comprehensive resource but offers references to other resources that can be used to deepen the knowledge. The text does not include a glossary or index. The references in the figures for each chapter are not included in the reference section. It would be helpful to include those.

Overall, the text is accurate. For example, Figure 1 on page 6 provides a clear overview of the research process. It includes general definitions of primary and secondary research. It would be helpful to include more details to explain some of the examples before they are presented. For instance, the example on page 5 was unclear how it pertains to the literature review section.

In general, the text is relevant and up-to-date. The text includes many inferences of moving from qualitative to quantitative analysis. This was surprising to me as a quantitative researcher. The author mentions that moving from a qualitative to quantitative approach should only be done when needed. As a predominantly quantitative researcher, I would not advice those interested in transitioning to using a qualitative approach that qualitative research would enhance their research—not something that should only be done if you have to.

Clarity rating: 4

The text is written in a clear manner. It would be helpful to the reader if there was a description of the tables and figures in the text before they are presented.

Consistency rating: 4

The framework for each chapter and terminology used are consistent.

Modularity rating: 4

The text is clearly divided into sections within each chapter. Overall, the chapters are a similar brief length except for the chapter on data analysis, which is much more comprehensive than others.

Organization/Structure/Flow rating: 4

The topics in the text are presented in a clear and logical order. The order of the text follows the conventional research methodology in social sciences.

I did not encounter any interface issues when reviewing this text. All links worked and there were no distortions of the images or charts that may confuse the reader.

Grammatical Errors rating: 3

There are some grammatical/typographical errors throughout. Of note, for Section 5 in the table of contents. “The” should be capitalized to start the title. In the title for Table 3, the “t” in typical should be capitalized.

Cultural Relevance rating: 4

The examples are culturally relevant. The text is geared towards learners in the UK, but examples are relevant for use in other countries (i.e., United States). I did not see any examples that may be considered culturally insensitive or offensive in any way.

I teach a course on research methods in a Bachelor of Science in Public Health program. I would consider using some of the text, particularly in the analysis chapter to supplement the current textbook in the future.

Reviewed by Finn Bell, Assistant Professor, University of Michigan, Dearborn on 1/3/24

For it being a quick guide and only 26 pages, it is very comprehensive, but it does not include an index or glossary. read more

For it being a quick guide and only 26 pages, it is very comprehensive, but it does not include an index or glossary.

Content Accuracy rating: 5

As far as I can tell, the text is accurate, error-free and unbiased.

Relevance/Longevity rating: 5

This text is up-to-date, and given the content, unlikely to become obsolete any time soon.

The text is very clear and accessible.

The text is internally consistent.

Given how short the text is, it seems unnecessary to divide it into smaller readings, nonetheless, it is clearly labelled such that an instructor could do so.

The text is well-organized and brings readers through basic quantitative methods in a logical, clear fashion.

Easy to navigate. Only one table that is split between pages, but not in a way that is confusing.

There were no noticeable grammatical errors.

The examples in this book don't give enough information to rate this effectively.

This text is truly a very quick guide at only 26 double-spaced pages. Nonetheless, Davies packs a lot of information on the basics of quantitative research methods into this text, in an engaging way with many examples of the concepts presented. This guide is more of a brief how-to that takes readers as far as how to select statistical tests. While it would be impossible to fully learn quantitative research from such a short text, of course, this resource provides a great introduction, overview, and refresher for program evaluation courses.

Reviewed by Shari Fedorowicz, Adjunct Professor, Bridgewater State University on 12/16/22

The text is indeed a quick guide for utilizing quantitative research. Appropriate and effective examples and diagrams were used throughout the text. The author clearly differentiates between use of quantitative and qualitative research providing... read more

Comprehensiveness rating: 5 see less

The text is indeed a quick guide for utilizing quantitative research. Appropriate and effective examples and diagrams were used throughout the text. The author clearly differentiates between use of quantitative and qualitative research providing the reader with the ability to distinguish two terms that frequently get confused. In addition, links and outside resources are provided to deepen the understanding as an option for the reader. The use of these links, coupled with diagrams and examples make this text comprehensive.

The content is mostly accurate. Given that it is a quick guide, the author chose a good selection of which types of research designs to include. However, some are not provided. For example, correlational or cross-correlational research is omitted and is not discussed in Section 3, but is used as a statistical example in the last section.

Examples utilized were appropriate and associated with terms adding value to the learning. The tables that included differentiation between types of statistical tests along with a parametric/nonparametric table were useful and relevant.

The purpose to the text and how to use this guide book is stated clearly and is established up front. The author is also very clear regarding the skill level of the user. Adding to the clarity are the tables with terms, definitions, and examples to help the reader unpack the concepts. The content related to the terms was succinct, direct, and clear. Many times examples or figures were used to supplement the narrative.

The text is consistent throughout from contents to references. Within each section of the text, the introductory paragraph under each section provides a clear understanding regarding what will be discussed in each section. The layout is consistent for each section and easy to follow.

The contents are visible and address each section of the text. A total of seven sections, including a reference section, is in the contents. Each section is outlined by what will be discussed in the contents. In addition, within each section, a heading is provided to direct the reader to the subtopic under each section.

The text is well-organized and segues appropriately. I would have liked to have seen an introductory section giving a narrative overview of what is in each section. This would provide the reader with the ability to get a preliminary glimpse into each upcoming sections and topics that are covered.

The book was easy to navigate and well-organized. Examples are presented in one color, links in another and last, figures and tables. The visuals supplemented the reading and placed appropriately. This provides an opportunity for the reader to unpack the reading by use of visuals and examples.

No significant grammatical errors.

The text is not offensive or culturally insensitive. Examples were inclusive of various races, ethnicities, and backgrounds.

This quick guide is a beneficial text to assist in unpacking the learning related to quantitative statistics. I would use this book to complement my instruction and lessons, or use this book as a main text with supplemental statistical problems and formulas. References to statistical programs were appropriate and were useful. The text did exactly what was stated up front in that it is a direct guide to quantitative statistics. It is well-written and to the point with content areas easy to locate by topic.

Reviewed by Sarah Capello, Assistant Professor, Radford University on 1/18/22

The text claims to provide "quick and simple advice on quantitative aspects of research in social sciences," which it does. There is no index or glossary, although vocabulary words are bolded and defined throughout the text. read more

The text claims to provide "quick and simple advice on quantitative aspects of research in social sciences," which it does. There is no index or glossary, although vocabulary words are bolded and defined throughout the text.

The content is mostly accurate. I would have preferred a few nuances to be hashed out a bit further to avoid potential reader confusion or misunderstanding of the concepts presented.

The content is current; however, some of the references cited in the text are outdated. Newer editions of those texts exist.

The text is very accessible and readable for a variety of audiences. Key terms are well-defined.

There are no content discrepancies within the text. The author even uses similarly shaped graphics for recurring purposes throughout the text (e.g., arrow call outs for further reading, rectangle call outs for examples).

The content is chunked nicely by topics and sections. If it were used for a course, it would be easy to assign different sections of the text for homework, etc. without confusing the reader if the instructor chose to present the content in a different order.

The author follows the structure of the research process. The organization of the text is easy to follow and comprehend.

All of the supplementary images (e.g., tables and figures) were beneficial to the reader and enhanced the text.

There are no significant grammatical errors.

I did not find any culturally offensive or insensitive references in the text.

This text does the difficult job of introducing the complicated concepts and processes of quantitative research in a quick and easy reference guide fairly well. I would not depend solely on this text to teach students about quantitative research, but it could be a good jumping off point for those who have no prior knowledge on this subject or those who need a gentle introduction before diving in to more advanced and complex readings of quantitative research methods.

Reviewed by J. Marlie Henry, Adjunct Faculty, University of Saint Francis on 12/9/21

Considering the length of this guide, this does a good job of addressing major areas that typically need to be addressed. There is a contents section. The guide does seem to be organized accordingly with appropriate alignment and logical flow of... read more

Considering the length of this guide, this does a good job of addressing major areas that typically need to be addressed. There is a contents section. The guide does seem to be organized accordingly with appropriate alignment and logical flow of thought. There is no glossary but, for a guide of this length, a glossary does not seem like it would enhance the guide significantly.

The content is relatively accurate. Expanding the content a bit more or explaining that the methods and designs presented are not entirely inclusive would help. As there are different schools of thought regarding what should/should not be included in terms of these designs and methods, simply bringing attention to that and explaining a bit more would help.

Relevance/Longevity rating: 3

This content needs to be updated. Most of the sources cited are seven or more years old. Even more, it would be helpful to see more currently relevant examples. Some of the source authors such as Andy Field provide very interesting and dynamic instruction in general, but they have much more current information available.

The language used is clear and appropriate. Unnecessary jargon is not used. The intent is clear- to communicate simply in a straightforward manner.

The guide seems to be internally consistent in terms of terminology and framework. There do not seem to be issues in this area. Terminology is internally consistent.

For a guide of this length, the author structured this logically into sections. This guide could be adopted in whole or by section with limited modifications. Courses with fewer than seven modules could also logically group some of the sections.

This guide does present with logical organization. The topics presented are conceptually sequenced in a manner that helps learners build logically on prior conceptualization. This also provides a simple conceptual framework for instructors to guide learners through the process.

Interface rating: 4

The visuals themselves are simple, but they are clear and understandable without distracting the learner. The purpose is clear- that of learning rather than visuals for the sake of visuals. Likewise, navigation is clear and without issues beyond a broken link (the last source noted in the references).

This guide seems to be free of grammatical errors.

It would be interesting to see more cultural integration in a guide of this nature, but the guide is not culturally insensitive or offensive in any way. The language used seems to be consistent with APA's guidelines for unbiased language.

Reviewed by Heng Yu-Ku, Professor, University of Northern Colorado on 5/13/21

The text covers all areas and ideas appropriately and provides practical tables, charts, and examples throughout the text. I would suggest the author also provides a complete research proposal at the end of Section 3 (page 10) and a comprehensive... read more

The text covers all areas and ideas appropriately and provides practical tables, charts, and examples throughout the text. I would suggest the author also provides a complete research proposal at the end of Section 3 (page 10) and a comprehensive research study as an Appendix after section 7 (page 26) to help readers comprehend information better.

For the most part, the content is accurate and unbiased. However, the author only includes four types of research designs used on the social sciences that contain quantitative elements: 1. Mixed method, 2) Case study, 3) Quasi-experiment, and 3) Action research. I wonder why the correlational research is not included as another type of quantitative research design as it has been introduced and emphasized in section 6 by the author.

I believe the content is up-to-date and that necessary updates will be relatively easy and straightforward to implement.

The text is easy to read and provides adequate context for any technical terminology used. However, the author could provide more detailed information about estimating the minimum sample size but not just refer the readers to use the online sample calculators at a different website.

The text is internally consistent in terms of terminology and framework. The author provides the right amount of information with additional information or resources for the readers.

The text includes seven sections. Therefore, it is easier for the instructor to allocate or divide the content into different weeks of instruction within the course.

Yes, the topics in the text are presented in a logical and clear fashion. The author provides clear and precise terminologies, summarizes important content in Table or Figure forms, and offers examples in each section for readers to check their understanding.

The interface of the book is consistent and clear, and all the images and charts provided in the book are appropriate. However, I did encounter some navigation problems as a couple of links are not working or requires permission to access those (pages 10 and 27).

No grammatical errors were found.

No culturally incentive or offensive in its language and the examples provided were found.

As the book title stated, this book provides “A Quick Guide to Quantitative Research in Social Science. It offers easy-to-read information and introduces the readers to the research process, such as research questions, research paradigms, research process, research designs, research methods, data collection, data analysis, and data discussion. However, some links are not working or need permissions to access them (pages 10 and 27).

Reviewed by Hsiao-Chin Kuo, Assistant Professor, Northeastern Illinois University on 4/26/21, updated 4/28/21

As a quick guide, it covers basic concepts related to quantitative research. It starts with WHY quantitative research with regard to asking research questions and considering research paradigms, then provides an overview of research design and... read more

As a quick guide, it covers basic concepts related to quantitative research. It starts with WHY quantitative research with regard to asking research questions and considering research paradigms, then provides an overview of research design and process, discusses methods, data collection and analysis, and ends with writing a research report. It also identifies its target readers/users as those begins to explore quantitative research. It would be helpful to include more examples for readers/users who are new to quantitative research.

Its content is mostly accurate and no bias given its nature as a quick guide. Yet, it is also quite simplified, such as its explanations of mixed methods, case study, quasi-experimental research, and action research. It provides resources for extended reading, yet more recent works will be helpful.

The book is relevant given its nature as a quick guide. It would be helpful to provide more recent works in its resources for extended reading, such as the section for Survey Research (p. 12). It would also be helpful to include more information to introduce common tools and software for statistical analysis.

The book is written with clear and understandable language. Important terms and concepts are presented with plain explanations and examples. Figures and tables are also presented to support its clarity. For example, Table 4 (p. 20) gives an easy-to-follow overview of different statistical tests.

The framework is very consistent with key points, further explanations, examples, and resources for extended reading. The sample studies are presented following the layout of the content, such as research questions, design and methods, and analysis. These examples help reinforce readers' understanding of these common research elements.

The book is divided into seven chapters. Each chapter clearly discusses an aspect of quantitative research. It can be easily divided into modules for a class or for a theme in a research method class. Chapters are short and provides additional resources for extended reading.

The topics in the chapters are presented in a logical and clear structure. It is easy to follow to a degree. Though, it would be also helpful to include the chapter number and title in the header next to its page number.

The text is easy to navigate. Most of the figures and tables are displayed clearly. Yet, there are several sections with empty space that is a bit confusing in the beginning. Again, it can be helpful to include the chapter number/title next to its page number.

Grammatical Errors rating: 4

No major grammatical errors were found.

There are no cultural insensitivities noted.

Given the nature and purpose of this book, as a quick guide, it provides readers a quick reference for important concepts and terms related to quantitative research. Because this book is quite short (27 pages), it can be used as an overview/preview about quantitative research. Teacher's facilitation/input and extended readings will be needed for a deeper learning and discussion about aspects of quantitative research.

Reviewed by Yang Cheng, Assistant Professor, North Carolina State University on 1/6/21

It covers the most important topics such as research progress, resources, measurement, and analysis of the data. read more

It covers the most important topics such as research progress, resources, measurement, and analysis of the data.

The book accurately describes the types of research methods such as mixed-method, quasi-experiment, and case study. It talks about the research proposal and key differences between statistical analyses as well.

The book pinpointed the significance of running a quantitative research method and its relevance to the field of social science.

The book clearly tells us the differences between types of quantitative methods and the steps of running quantitative research for students.

The book is consistent in terms of terminologies such as research methods or types of statistical analysis.

It addresses the headlines and subheadlines very well and each subheading should be necessary for readers.

The book was organized very well to illustrate the topic of quantitative methods in the field of social science.

The pictures within the book could be further developed to describe the key concepts vividly.

The textbook contains no grammatical errors.

It is not culturally offensive in any way.

Overall, this is a simple and quick guide for this important topic. It should be valuable for undergraduate students who would like to learn more about research methods.

Reviewed by Pierre Lu, Associate Professor, University of Texas Rio Grande Valley on 11/20/20

As a quick guide to quantitative research in social sciences, the text covers most ideas and areas. read more

As a quick guide to quantitative research in social sciences, the text covers most ideas and areas.

Mostly accurate content.

As a quick guide, content is highly relevant.

Succinct and clear.

Internally, the text is consistent in terms of terminology used.

The text is easily and readily divisible into smaller sections that can be used as assignments.

I like that there are examples throughout the book.

Easy to read. No interface/ navigation problems.

No grammatical errors detected.

I am not aware of the culturally insensitive description. After all, this is a methodology book.

I think the book has potential to be adopted as a foundation for quantitative research courses, or as a review in the first weeks in advanced quantitative course.

Reviewed by Sarah Fischer, Assistant Professor, Marymount University on 7/31/20

It is meant to be an overview, but it incredibly condensed and spends almost no time on key elements of statistics (such as what makes research generalizable, or what leads to research NOT being generalizable). read more

It is meant to be an overview, but it incredibly condensed and spends almost no time on key elements of statistics (such as what makes research generalizable, or what leads to research NOT being generalizable).

Content Accuracy rating: 1

Contains VERY significant errors, such as saying that one can "accept" a hypothesis. (One of the key aspect of hypothesis testing is that one either rejects or fails to reject a hypothesis, but NEVER accepts a hypothesis.)

Very relevant to those experiencing the research process for the first time. However, it is written by someone working in the natural sciences but is a text for social sciences. This does not explain the errors, but does explain why sometimes the author assumes things about the readers ("hail from more subjectivist territory") that are likely not true.

Clarity rating: 3

Some statistical terminology not explained clearly (or accurately), although the author has made attempts to do both.

Very consistently laid out.

Chapters are very short yet also point readers to outside texts for additional information. Easy to follow.

Generally logically organized.

Easy to navigate, images clear. The additional sources included need to linked to.

Minor grammatical and usage errors throughout the text.

Makes efforts to be inclusive.

The idea of this book is strong--short guides like this are needed. However, this book would likely be strengthened by a revision to reduce inaccuracies and improve the definitions and technical explanations of statistical concepts. Since the book is specifically aimed at the social sciences, it would also improve the text to have more examples that are based in the social sciences (rather than the health sciences or the arts).

Reviewed by Michelle Page, Assistant Professor, Worcester State University on 5/30/20

This text is exactly intended to be what it says: A quick guide. A basic outline of quantitative research processes, akin to cliff notes. The content provides only the essentials of a research process and contains key terms. A student or new... read more

This text is exactly intended to be what it says: A quick guide. A basic outline of quantitative research processes, akin to cliff notes. The content provides only the essentials of a research process and contains key terms. A student or new researcher would not be able to use this as a stand alone guide for quantitative pursuits without having a supplemental text that explains the steps in the process more comprehensively. The introduction does provide this caveat.

Content Accuracy rating: 3

There are no biases or errors that could be distinguished; however, it’s simplicity in content, although accurate for an outline of process, may lack a conveyance of the deeper meanings behind the specific processes explained about qualitative research.

The content is outlined in traditional format to highlight quantitative considerations for formatting research foundational pieces. The resources/references used to point the reader to literature sources can be easily updated with future editions.

The jargon in the text is simple to follow and provides adequate context for its purpose. It is simplified for its intention as a guide which is appropriate.

Each section of the text follows a consistent flow. Explanation of the research content or concept is defined and then a connection to literature is provided to expand the readers understanding of the section’s content. Terminology is consistent with the qualitative process.

As an “outline” and guide, this text can be used to quickly identify the critical parts of the quantitative process. Although each section does not provide deeper content for meaningful use as a stand alone text, it’s utility would be excellent as a reference for a course and can be used as an content guide for specific research courses.

The text’s outline and content are aligned and are in a logical flow in terms of the research considerations for quantitative research.

The only issue that the format was not able to provide was linkable articles. These would have to be cut and pasted into a browser. Functional clickable links in a text are very successful at leading the reader to the supplemental material.

No grammatical errors were noted.

This is a very good outline “guide” to help a new or student researcher to demystify the quantitative process. A successful outline of any process helps to guide work in a logical and systematic way. I think this simple guide is a great adjunct to more substantial research context.

Table of Contents

• Section 1: What will this resource do for you?
• Section 2: Why are you thinking about numbers? A discussion of the research question and paradigms.
• Section 3: An overview of the Research Process and Research Designs
• Section 4: Quantitative Research Methods
• Section 5: the data obtained from quantitative research
• Section 6: Analysis of data
• Section 7: Discussing your Results

Ancillary Material

About the book.

This resource is intended as an easy-to-use guide for anyone who needs some quick and simple advice on quantitative aspects of research in social sciences, covering subjects such as education, sociology, business, nursing. If you area qualitative researcher who needs to venture into the world of numbers, or a student instructed to undertake a quantitative research project despite a hatred for maths, then this booklet should be a real help.

The booklet was amended in 2022 to take into account previous review comments.  

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Quantitative Analysis

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Quantitative Methods for Health Research: A Practical Interactive Guide to Epidemiology and Statistics (Abridged / Paperback)

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A practical introduction to epidemiology, biostatistics, and research methodology for the whole health care community

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.

A clear distinction is made between knowledge and concepts that all students should ensure they understand, and those that can be pursued further by those who wish to do so. Self-assessment exercises throughout the text help students explore and reflect on their understanding. A program of practical exercises in SPSS (using a prepared data set) helps to consolidate the theory and develop skills and confidence in data handling, analysis, and interpretation. Highlights of the book include:

• Combining epidemiology and bio-statistics to demonstrate the relevance and strength of statistical methods
• Emphasis on the interpretation of statistics using examples from a variety of public health and health care situations to stress relevance and application
• Use of concepts related to examples of published research to show the application of methods and balance between ideals and the realities of research in practice
• Integration of practical data analysis exercises to develop skills and confidence
• Supplementation by a student companion website which provides guidance on data handling in SPSS and study data sets as referred to in the text

Quantitative Methods for Health Research, Second Edition is a practical learning resource for students, practitioners and researchers in public health, health care and related disciplines, providing both a course book and a useful introductory reference.

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Citizen Social Science: Quantitative Data Training

Amanda Buday , Grand Valley State University Follow Anna Hammersmith , Grand Valley State University Follow Rachel Campbell , Grand Valley State University Follow

Citizen Social Science: Qualitative Data Training is also available: https://scholarworks.gvsu.edu/books/32/

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Description

The Citizen Social Science training program is designed to be implemented by residents in their own community, equipping local citizens to build capacity and develop industry-standard data management skills at the grassroots level. Industry standards ensure the integrity and value of data, important qualities for findings to be accepted and leveraged, both near and far. This quantitative data training will help you learn to collect, analyze, and report numeric data collected from community surveys.

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Creative commons license.

Citizen social science, citizen science, community-based research, quantitative methods, participatory research

A special thanks to Kerri VanderHoff (Coalition for Community Development) and Marquis Childers (Muskegon Heights Neighborhood Association Council), who were the community partners who collaborated on this Citizen Social Science Project as well as the cohort of students based in Muskegon Heights who participated in the initial Citizen Social Science: Quantitative Data Training. In addition, the work of undergraduate research assistants Louis Cousino and Alexis Phillips was crucial for the development and implementation of this training. Finally, this work was supported in part by funding from a capacity building award received by the Muskegon County Health Equity Council from the Michigan Department of Health and Human Services Office of Equity and Minority Health in partnership with the Michigan Public Health Institute.

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Quantitative Analysis Paperback – December 1, 2007

• Language English
• Publisher Cbs
• Publication date December 1, 2007
• Dimensions 7.99 x 10 x 1.85 inches
• ISBN-10 812390293X
• ISBN-13 978-8123902937
• See all details

Product details

• Publisher ‏ : ‎ Cbs (December 1, 2007)
• Language ‏ : ‎ English
• ISBN-10 ‏ : ‎ 812390293X
• ISBN-13 ‏ : ‎ 978-8123902937
• Item Weight ‏ : ‎ 2.31 pounds
• Dimensions ‏ : ‎ 7.99 x 10 x 1.85 inches

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