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

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

Autorzy
Wydawnictwo SAGE Publications Inc
Data wydania 04/11/2020
Liczba stron 472
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Literatura popularna
Język angielski
ISBN 9781506350301
Kategorie Badania społeczne i statystyki
610.05 PLN (z VAT)
$137.23 / €130.79 / £113.54 /
Produkt na zamówienie
Dostawa 3-4 tygodnie
Ilość
Do schowka

Opis książki

Students across social science, behavioral science, and health and nursing fields are now expected to be proficient in mixed methods research. 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. Authors Abbas Tashakkori, R. Burke Johnson, and Charles Teddlie have thoroughly updated the text to reflect the many advances in mixed methods in recent years. The new edition includes additional information on writing, publishing, and disseminating results, as well as information on policy impact and annotated examples of mixed methods research studies.

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

Spis treści

Preface

Publisher's Acknowledgments

About the Authors

Section I: Mixed Methods: The Third Methodological Movement

Chapter 1: Mixed Methods as the Third Research Community

Objectives

Three Communities of Researchers in the Social and Behavioral Sciences

An Example of How the Three Communities Approach a Research Problem

The Three Methodological Communities: Continuing Debates or Peaceful Coexistence?

Differences Among Paradigms, Methodologies, and Methods

Stages of Research: A Systems Approach

More Details Regarding the Methodological Communities

Inductive-Deductive Research Cycle (Cycle of Research Methodology)

Summary

Review Questions and Exercises

Key Terms

Chapter 2: Three Approaches to Research

Objectives

Methodological Distinctions Among the Three Communities: Continua, Not Dichotomy

Issues Related to Mixed Methods Terms and Definitions

The Utility of Mixed Methods Research

Summary

Review Questions and Exercises

Key Terms

Chapter 3: Philosophical Foundations of Mixed Methods Research

Objectives

A Review of Philosophical Issues Relevant to Paradigms

Contemporary Points of View Regarding the Use of Paradigms

Summary

Review Questions and Exercises

Key Terms

Section II: Methods and Strategies of Mixed Methods Research

Chapter 4: Inputs to the Research Process: Mixed Methods Purposes and Questions

Objectives

Introduction: The Initiation Stage of Research

Reasons for Conducting Research in the Social and Behavioral Sciences

The Emergence of Researchable Ideas in Content Areas of Interest

Conducting Literature Reviews

Generating Objectives for Mixed Methods Research

Generating Research Questions for Mixed Methods Research

Summary

Review Questions and Exercises

Key Terms

Chapter 5: Mixed Methods Research Designs

Objectives

Issues Regarding Typologies of Mixed Methods Designs

Criteria Used in Mixed Methods Research Typologies

Quasi-Mixed Methods Designs

Basic Terminology for Mixed Methods Research Designs

The Sequence-Sources Design Matrix

Popular Designs in Monomethod, Multimethod, and MM Research

Other Typologies of Mixed Methods Research Designs

Six-Step Process for Selecting or Constructing an Appropriate Mixed Methods Design

Summary

Review Questions and Exercises

Key Terms

Chapter 6: Sampling Methods and Strategies for Mixed Methods Research

Objectives

Sampling Methods and Strategies in the Social and Behavioral Sciences

Traditional Probability Sampling Methods

Traditional Purposive Sampling Methods

General Considerations Concerning Mixed Methods Sampling

Mixed Methods Sampling Approaches

Guidelines for Mixed Methods Sampling

Summary

Review Questions and Exercises

Key Terms

Chapter 7: Considerations Before Collecting Your Data

Objectives

Setting the Stage: Before You Start

Introduction to Data Collection in Mixed Methods Research

Data Quality in the Quantitative and Qualitative Strands of Mixed Methods Research

Summary

Review Questions and Exercises

Key Terms

Chapter 8: Data Collection Methods for Mixed Methods Research

Objectives

Major Data Collection Methods and Mixed Methods Research

Between-Methods Mixed Methods Data Collection

Summary

Review Questions and Exercises

Key Terms

Chapter 9: Data Analysis in Mixed Methods Research

Objectives

Analysis Strategies for Qualitative Data

Four General Types of Qualitative Data Analysis

Analysis Strategies for Quantitative Data

Strategies for Analyzing Mixed Methods Data

Applying Aspects of Analytic Frameworks of One Tradition to Data Analysis Within Another Tradition

Summary

Review Questions and Exercises

Key Terms

Chapter 10: The Inference Process in Mixed Methods Research

Objectives

Mixed Methods Research and Inferences

What Is a Research Inference?

The Process of Making Inferences

Evaluating and Maximizing the Quality of Research Inferences

A Complementary Elaboration to Our Integrative MM Framework

Transferability of Inferences in Mixed Methods Research

Summary

Review Questions and Exercises

Key Terms

Chapter 11: From Initiation to Utilization: Planning, Implementing, Writing, and Disseminating Mixed Methods Research

Objectives

From Initiation to Research Utilization

Conducting and Publishing Mixed Methods Studies

Politics, Challenges, and Prospects Facing Mixed Methods

Teaching and Learning of (Integrated) Research Methodology

Challenges and Future Directions

Summary

Review Questions and Exercises

Key Terms

Appendix: Implementing Integration in an Explanatory Sequential Mixed Methods Study of Belief Bias About Climate Change With High School Students

Glossary

References

Author Index

Subject Index

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