Foundations of Mixed Methods Research

Abbas Tashakkori (Ph.D., Social Psychology, University of North Carolina -Chapel Hill) is the Chairperson of the Department of Educational Psychology at the University of North Texas (Denton, Texas, USA). Previously, has has been a Professor of Research and Evaluation Methodology at Florida International University (Miami, Florida, USA). He has been a post-doctoral fellow at the Carolina Population Center and the University of North Carolina at Chapel Hill, as well as a visiting scholar at Texas A&M University. He has extensive experience as a program evaluator, and he has taught research methods for more than two decades in undergraduate and graduate programs at the University of North Carolina, Shiraz University, Stetson University, Louisiana State University, and Florida International University. In addition to research methodology, his published work covers a wide spectrum of research and program evaluation in cross-cultural and multi-cultural contexts, including self-perceptions, attitudes, and gender/ethnicity.Burke Johnson is a professor in the Professional Studies Department at the University of South Alabama. His PhD is from the REMS (research, evaluation, measurement, and statistics) program in the College of Education at the University of Georgia. He also has graduate degrees in psychology, sociology, and public administration, which have provided him with a multidisciplinary perspective on research methodology. He was guest editor for a special issue of Research in the Schools focusing on mixed research (available online at www.msera.org/rits_131.htm) and completed a similar guest editorship for the American Behavioral Scientist. He was an associate editor of the Journal of Mixed Methods Research. Burke is first author of Educational Research: Quantitative, Qualitative, and Mixed Approaches (Sage, 2014, 5th edition); second author of Research Methods, Design, and Analysis (Pearson, 2014, 12th edition); coeditor (with Sharlene Hesse-Biber) of The Oxford Handbook of Multimethod and Mixed Methods Research Inquiry (2015); coeditor (with Paul Vogt) of Correlation and Regression Analysis (2012); and associate editor of The SAGE Glossary of the Social and Behavioral Sciences (2009).Charles Teddlie (Ph.D., Social Psychology, University of North Carolina at Chapel Hill) is the Jo Ellen Levy Yates Distinguished Professor of Education at Louisiana State University (LSU). He has also taught at the University of New Orleans and has been a Visiting Professor at the University of Newcastle-upon-Tyne (U.K.). He has also served as Assistant Superintendent for Research and Development at the Louisiana Department of Education. His major writing interests are social science research methodology and school effectiveness research. Professor Teddlie has taught research methods courses for over twenty years, including statistics and qualitative research methods. He has been awarded the Excellence in Teaching Award from the LSU College of Education. Professor Teddlie has lectured on school effectiveness research and educational research methodology in several countries including the United Kingdom, the Republic of Ireland, the Netherlands, Norway, Denmark, Russia, the Ukraine, and Belarus.

best book for mixed methods designs

• PrefacePublisher’s AcknowledgmentsAbout the AuthorsSection I: Mixed Methods: The Third Methodological MovementChapter 1: Mixed Methods as the Third Research CommunityObjectivesThree Communities of Researchers in the Social and Behavioral SciencesAn Example of How the Three Communities Approach a Research ProblemThe Three Methodological Communities: Continuing Debates or Peaceful Coexistence?Differences Among Paradigms, Methodologies, and MethodsStages of Research: A Systems ApproachMore Details Regarding the Methodological CommunitiesInductive-Deductive Research Cycle (Cycle of Research Methodology)SummaryReview Questions and ExercisesKey TermsChapter 2: Three Approaches to ResearchObjectivesMethodological Distinctions Among the Three Communities: Continua, Not DichotomyIssues Related to Mixed Methods Terms and DefinitionsThe Utility of Mixed Methods ResearchSummaryReview Questions and ExercisesKey TermsChapter 3: Philosophical Foundations of Mixed Methods ResearchObjectivesA Review of Philosophical Issues Relevant to ParadigmsContemporary Points of View Regarding the Use of ParadigmsSummaryReview Questions and ExercisesKey TermsSection II: Methods and Strategies of Mixed Methods ResearchChapter 4: Inputs to the Research Process: Mixed Methods Purposes and QuestionsObjectivesIntroduction: The Initiation Stage of ResearchReasons for Conducting Research in the Social and Behavioral SciencesThe Emergence of Researchable Ideas in Content Areas of InterestConducting Literature ReviewsGenerating Objectives for Mixed Methods ResearchGenerating Research Questions for Mixed Methods ResearchSummaryReview Questions and ExercisesKey TermsChapter 5: Mixed Methods Research DesignsObjectivesIssues Regarding Typologies of Mixed Methods DesignsCriteria Used in Mixed Methods Research TypologiesQuasi-Mixed Methods DesignsBasic Terminology for Mixed Methods Research DesignsThe Sequence-Sources Design MatrixPopular Designs in Monomethod, Multimethod, and MM ResearchOther Typologies of Mixed Methods Research DesignsSix-Step Process for Selecting or Constructing an Appropriate Mixed Methods DesignSummaryReview Questions and ExercisesKey TermsChapter 6: Sampling Methods and Strategies for Mixed Methods ResearchObjectivesSampling Methods and Strategies in the Social and Behavioral SciencesTraditional Probability Sampling MethodsTraditional Purposive Sampling MethodsGeneral Considerations Concerning Mixed Methods SamplingMixed Methods Sampling ApproachesGuidelines for Mixed Methods SamplingSummaryReview Questions and ExercisesKey TermsChapter 7: Considerations Before Collecting Your DataObjectivesSetting the Stage: Before You StartIntroduction to Data Collection in Mixed Methods ResearchData Quality in the Quantitative and Qualitative Strands of Mixed Methods ResearchSummaryReview Questions and ExercisesKey TermsChapter 8: Data Collection Methods for Mixed Methods ResearchObjectivesMajor Data Collection Methods and Mixed Methods ResearchBetween-Methods Mixed Methods Data CollectionSummaryReview Questions and ExercisesKey TermsChapter 9: Data Analysis in Mixed Methods ResearchObjectivesAnalysis Strategies for Qualitative DataFour General Types of Qualitative Data AnalysisAnalysis Strategies for Quantitative DataStrategies for Analyzing Mixed Methods DataApplying Aspects of Analytic Frameworks of One Tradition to Data Analysis Within Another TraditionSummaryReview Questions and ExercisesKey TermsChapter 10: The Inference Process in Mixed Methods ResearchObjectivesMixed Methods Research and InferencesWhat Is a Research Inference?The Process of Making InferencesEvaluating and Maximizing the Quality of Research InferencesA Complementary Elaboration to Our Integrative MM FrameworkTransferability of Inferences in Mixed Methods ResearchSummaryReview Questions and ExercisesKey TermsChapter 11: From Initiation to Utilization: Planning, Implementing, Writing, and Disseminating Mixed Methods ResearchObjectivesFrom Initiation to Research UtilizationConducting and Publishing Mixed Methods StudiesPolitics, Challenges, and Prospects Facing Mixed MethodsTeaching and Learning of (Integrated) Research MethodologyChallenges and Future DirectionsSummaryReview Questions and ExercisesKey TermsAppendix: Implementing Integration in an Explanatory Sequential Mixed Methods Study of Belief Bias About Climate Change With High School StudentsGlossaryReferencesAuthor IndexSubject Index