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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches

You are here, student resources, welcome to the companion website.

Welcome to the SAGE edge site for Research Design, Fifth Edition .

The SAGE edge site for Research Design by John W. Creswell and J. David Creswell offers a robust online environment you can access anytime, anywhere, and features an array of free tools and resources to keep you on the cutting edge of your learning experience.

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.

The  Fifth   Edition  includes more coverage of: epistemological and ontological positioning in relation to the research question and chosen methodology; case study, PAR, visual and online methods in qualitative research; qualitative and quantitative data analysis software; and in quantitative methods more on power analysis to determine sample size, and more coverage of experimental and survey designs; and updated with the latest thinking and research in mixed methods.

Acknowledgments

We gratefully acknowledge John W. Creswell and J. David Creswell for writing an excellent text. Special thanks are also due to Tim Guetterman of the University of Michigan, Shannon Storch of the University of Creighton, and Tiffany J. Davis of the University of Houston for developing the ancillaries on this site.

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Research Design

Second edition quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches, patricia leavy.

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• What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

• Your overall research objectives and approach
• Whether you’ll rely on primary research or secondary research
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

• Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
• Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

• Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

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As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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10 Best Research Books For Qualitative And Quantitative Research

Are you looking for the best research books? Take a look at some of the best books on research methods below.

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.

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, further reading.

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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.

• Merriam, Sharan B. (Author)
• English (Publication Language)
• 368 Pages - 08/24/2015 (Publication Date) - John Wiley & Sons (Publisher)

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.

• Research Design
• Creswell, John W. (Author)
• 273 Pages - 03/23/2024 (Publication Date) - SAGE Publications, Inc (Publisher)

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.

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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.

• Booth, Wayne C. (Author)
• 336 Pages - 10/18/2016 (Publication Date) - University of Chicago Press (Publisher)

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.

• Bell, Judith (Author)
• 296 Pages - 05/01/2010 (Publication Date) - Open University Press (Publisher)

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.

• Used Book in Good Condition
• 472 Pages - 03/14/2012 (Publication Date) - SAGE Publications, Inc (Publisher)

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.

• O′Leary, Zina (Author)
• 384 Pages - 12/20/2013 (Publication Date) - SAGE Publications Ltd (Publisher)

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.

• Flick, Uwe (Author)
• 320 Pages - 04/14/2015 (Publication Date) - SAGE Publications Ltd (Publisher)

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.

• Hardcover Book
• 992 Pages - 02/15/2017 (Publication Date) - SAGE Publications, Inc (Publisher)

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.

• Cohen, Louis (Author)
• 944 Pages - 10/27/2017 (Publication Date) - Routledge (Publisher)

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 . 

You might also find our guide on essay topics for students  helpful. 

Bryan Collins is the owner of Become a Writer Today. He's an author from Ireland who helps writers build authority and earn a living from their creative work. He's also a former Forbes columnist and his work has appeared in publications like Lifehacker and Fast Company.

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Design Research: Methods and Perspectives (Mit Press) Hardcover – October 1, 2003

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The tools of design research, writes Brenda Laurel, will allow designers "to claim and direct the power of their profession." Often neglected in the various curricula of design schools, the new models of design research described in this book help designers to investigate people, form, and process in ways that can make their work more potent and more delightful. "At the very least," Peter Lunenfeld writes in the preface, "design research saves us from reinventing the wheel. At its best, a lively research methodology can reinvigorate the passion that so often fades after designers join the profession."

The goal of the book is to introduce designers to the many research tools that can be used to inform design as well as to ideas about how and when to deploy them effectively. The chapter authors come from diverse institutions and enterprises, including Stanford University, MIT, Intel, Maxis, Studio Anybody, Sweden's HUMlab, and Big Blue Dot. Each has something to say about how designers make themselves better at what they do through research, and illustrates it with real world examples—case studies, anecdotes, and images. Topics of this multi-voice conversation include qualitative and quantitative methods, performance ethnography and design improvisation, trend research, cultural diversity, formal and structural research practice, tactical discussions of design research process, and case studies drawn from areas as unique as computer games, museum information systems, and movies. Interspersed throughout the book are one-page "demos," snapshots of the design research experience. Design Research charts the paths from research methods to research findings to design principles to design results and demonstrates the transformation of theory into a richly satisfying and more reliably successful practice.

• Print length 336 pages
• Language English
• Publisher The MIT Press
• Publication date October 1, 2003
• Dimensions 7.31 x 0.87 x 9.38 inches
• ISBN-10 0262122634
• ISBN-13 978-0262122634
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• Publisher ‏ : ‎ The MIT Press; First Edition (October 1, 2003)
• Language ‏ : ‎ English
• Hardcover ‏ : ‎ 336 pages
• ISBN-10 ‏ : ‎ 0262122634
• ISBN-13 ‏ : ‎ 978-0262122634
• Item Weight ‏ : ‎ 2 pounds
• Dimensions ‏ : ‎ 7.31 x 0.87 x 9.38 inches
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About the author

Brenda laurel.

My sweet spot was always acting, and I earned an MFA and PhD in Theatre. About the time I was working on my PhD I discovered what would become personal computers. I’ve worked in interactive media since 1976 as a designer, researcher, writer and teacher. I founded and chaired two graduate transmedia design programs at California College of Arts and at Art Center College of Design (2001-2006). Based on my research in gender and technology at Interval Research, I co-founded Purple Moon in 1996. Long strange trip.

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Toroidally focused ultrasonic flaw detectors

• Acoustic Methods
• Published: 28 July 2011
• Volume 47 , pages 308–310, ( 2011 )

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• A. V. Shevelev 1 &
• Zh. V. Zatsepilova 2  

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New-type toroidally focused ultrasonic flaw detectors, whose application provides an appreciable increase in the flaw detection rate with retention of high sensitivity to flaws, are considered. The construction of a flaw detector is presented, the sizes of a gauge for the formation of the toroidal surface of a lens are given, and the technology of the manufacturing of a toroidal lens is described.

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Ermolov, I.N., Aleshin, N.P., and Potapov, A.I., Nerazrushayushchii control’ (Nondestructive Testing), book 2: Akusticheskie metody kontrolya (Acoustic Testing), Moscow: Vysshaya shkola, 1991.

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Nerazrushayushchii kontrol’ (Spravochnik) (Nondestructive Testing: Handbook), Klyuev, V.V., Ed., vol. 3: Ul’trazvukovoi kontrol’ (Ultrasonic Testing), Moscow: Mashinostroenie, 2006.

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Elektrostal Polytechnic Institute, Branch of the National University of Science and Technology “MISIS”, ul. Pervomaiskaya 7, Elektrostal, Moscow oblast, 144000, Russia

A. V. Shevelev

Elektrostal Heavy Engineering Plant JSC, ul. Krasnaya 19, Elektrostal, Moscow oblast, 144005, Russia

Zh. V. Zatsepilova

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Correspondence to Zh. V. Zatsepilova .

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Original Russian Text © A.V. Shevelev, Zh.V. Zatsepilova, 2011, published in Defektoskopiya, 2011, Vol. 47, No. 5, pp. 19–22.

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Shevelev, A.V., Zatsepilova, Z.V. Toroidally focused ultrasonic flaw detectors. Russ J Nondestruct Test 47 , 308–310 (2011). https://doi.org/10.1134/S1061830911050093

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Received : 14 January 2011

Published : 28 July 2011

Issue Date : May 2011

DOI : https://doi.org/10.1134/S1061830911050093

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