Integrating Quantitative and Qualitative Methods in Research

Author: George R. Taylor
Publisher: University Press of America
ISBN: 9780761832409
Format: PDF, Docs
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This book provides a clear, practical introduction to qualitative and quantitative statistical research. Drawing from his experience conducting statistics seminars, editor George Taylor presents a streamlined overview of both quantitative and qualitative research methods. Each chapter includes work sessions and sample problems making this book an indispensable resource for graduate students.

Integrating Quantitative and Qualitative Research in Development Projects

Author: Michael Bamberger
Publisher: World Bank Publications
ISBN: 9780821344316
Format: PDF, Docs
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A report based on a workshop held in 1998 at which outside research specialists and World Bank staff discussed the importance of integrating quantitative and qualitative research methods and reviewed experiences in the use of mixed method approaches in Bank research and project design.

A Malaysian Study of Mixed Methods

Author: Ruhizal Roosli
Publisher: Cambridge Scholars Publishing
ISBN: 1443891576
Format: PDF
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This book consists of ten chapters, focusing on how to combine quantitative with qualitative methods in a research project. The approach of combining both methods is called ‘Triangulation’. In the social sciences, triangulation is often used in combining several research methods to study one subject. However, it is not in itself a method in the same way as a quantitative or qualitative approach with a specific paradigm. Triangulation is a plan, structure and investigation strategy deployed to obtain answers to problems identified at an earlier stage, and is widely used by researchers due to its capability in cross-checking the validity of findings and its minimal risk of bias. This book details the triangulation approach through its use in a real research project. Although, there are a number of books which discuss general research guidelines and methods, there is a notable lack of such books in social sciences which provide an example of integrating quantitative and qualitative methods in one research project. As such, the contents of this book will be useful to students, academicians and practitioners conducting research work.

Foundations of Mixed Methods Research

Author: Charles Teddlie
Publisher: SAGE Publications Inc
ISBN: 0761930124
Format: PDF
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Foundations of Mixed Methods Research is the first comprehensive textbook on using mixed methods in the social sciences, written by two leading names in the field. Mixed methodology (combining quantitative and qualitative approaches) has become an increasingly popular way of both researching and teaching methodology across the social sciences, and students across these fields are expected to be proficient in both quantitative and qualitative techniques. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods from research design and data collection through to analysis and conclusions.

Embedded Case Study Methods

Author: Roland W. Scholz
Publisher: SAGE
ISBN: 9780761919469
Format: PDF, ePub
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In an embedded case study, the starting and end point is the comprehension of the case as a whole in its real-world context. However, in the course of analysis the case will be faceted either by different perspectives of inquiry or by several sub-units. The book presents different methodological approaches to organize this faceting process. It uses the power of the system approach in order to apply methods, which allow a scientific treatment of complex cases in a way that will be also acknowledged by the quantitative research community. The authors emphasize that a qualitative analysis starting from the real-world level is an indispensable part of case analysis. Thus the book bridges the gap between quantitatve and qualitative approaches to complex problems when using the case study methodology.

Integrating Quantitative and Qualitative Methods in Research

Author: Joachim Paulsen
Publisher: Koros Press
ISBN: 9781781633472
Format: PDF, ePub, Docs
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Researchers have recognized over the past few years that quantitative analysis of the incidence and trends in poverty, while essential for national economic development planning, must be complemented by qualitative methods that help planners and managers understand the cultural, social, political, and institutional context within which projects are designed and implemented. This report is based on a two-day workshop held in June 1998, where outside research specialists and World Bank staff discussed the importance of integrating these research methods.

Foundations of Mixed Methods Research Integrating Quantitative and Qualitative Techniques in the Social and Behavioral Sciences

Author: CTI Reviews
Publisher: Cram101 Textbook Reviews
ISBN: 1467240680
Format: PDF, Docs
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Facts101 is your complete guide to Foundations of Mixed Methods Research, Integrating Quantitative and Qualitative Techniques in the Social and Behavioral Sciences. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Quality Research in Literacy and Science Education

Author: Mack C. Shelley
Publisher: Springer Science & Business Media
ISBN: 1402084277
Format: PDF, Mobi
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Statistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.

Principles of Social Research

Author: Mary Alison Durand
Publisher: McGraw-Hill Education (UK)
ISBN: 0335263313
Format: PDF
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Using examples from a range of settings, this book provides a clear introduction to basic principles in social research.