The Routledge Reviewer’s Guide to Mixed Methods Analysis PDF Download
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Author: Anthony J. Onwuegbuzie
Publisher: Routledge
ISBN: 1351395521
Category : Psychology
Languages : en
Pages : 407
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Book Description
The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Author: Anthony J. Onwuegbuzie
Publisher: Routledge
ISBN: 1351395521
Category : Psychology
Languages : en
Pages : 407
Get Book Here
Book Description
The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Author: Alexander Hamilton
Publisher: World Bank Publications
ISBN: 1464810656
Category : Business & Economics
Languages : en
Pages : 224
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Book Description
Data deficiencies contribute to state fragility and exacerbate fragile states’ already limited capacity to provide basic services, public security and rule of law. The lack of robust, good quality data can also have a disabling effect on government efforts to manage political conflict, and indeed can worsen conflict, since violent settings pose substantial challenges to knowledge generation, capture and application. In short, in fragile contexts the need for reliable evidence at all levels is perhaps greater than anywhere else. The development of sustainable and professional ‘data-literate’ stakeholders who are able to produce and increase the quality and accessibility of official statistics can contribute to improved development outcomes. Good quality and reliable statistics are also required to track the progress of development policies through the monitoring of performance indicators and targets and to ensure that public resources are achieving results. While data alone cannot have a transformative effect without the right contextual incentives it is an essential and necessary prerequisite for greater accountability and more efficient decision-making. This volume explores methods and insights for data collection and use in fragile contexts, with a focus on Sudan. It begins by posing several questions on the political economy of data, and then sets out a framework for assessing the validity, reliability, and potential impact of data on decision-making in a fragile country. It also sets out insights on challenges associated with fragile states, derived from recent data collected in Sudan: the 2014/2015 DFID Sudan household survey. This includes data-driven analysis of topics including female genital mutilation, public service delivery, and the interplay of governance, service quality, and state legitimacy.
Author: Kenan Dikilitas
Publisher: John Wiley & Sons
ISBN: 1119701627
Category : Language Arts & Disciplines
Languages : en
Pages : 388
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Book Description
A practical guide to the methodologies used in language teaching and learning research, providing expert advice and real-life examples from leading TESOL researchers Research Methods in Language Teaching and Learning provides practical guidance on the primary research methods used in second language teaching, learning, and education. Designed to support researchers and students in language education and learning, this highly accessible book covers a wide range of research methodologies in the context of actual practice to help readers fully understand the process of conducting research. Organized into three parts, the book covers qualitative studies, quantitative studies, and systematic reviews. Contributions by an international team of distinguished researchers and practitioners explain and demonstrate narrative inquiry, discourse analysis, ethnography, heuristic inquiry, mixed methods, experimental and quasi-experimental studies, and more. Each chapter presents an overview of a method of research, an in-depth description of the research framework or data analysis process, and a meta-analysis of choices made and challenges encountered. Offering invaluable insights and hands-on research knowledge to students and early-career practitioners alike, this book: Focuses on the research methods, techniques, tools, and practical aspects of performing research Provides firsthand narratives and case studies to explain the decisions researchers make Compares the relative strengths and weaknesses of different research methods Includes real-world examples for each research method and framework to highlight the context of the study Includes extensive references, further reading suggestions, and end-of-chapter review questions Part of the Guides to Research Methods in Language and Linguistics series, Research Methods in Language Teaching and Learning is essential reading for students, educators, and researchers in all related fields, including TESOL, second language acquisition, English language teaching, and applied linguistics.
Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503
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Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Author: Eli Cohen
Publisher: Informing Science
ISBN: 1932886281
Category :
Languages : en
Pages : 546
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Book Description
Author: Marja Sarvimaki
Publisher: Taylor & Francis
ISBN: 1317480627
Category : Architecture
Languages : en
Pages : 195
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Book Description
Case Study Strategies for Architects and Designers explains methods in evidence-based design, also called practice-based research, to show you the value of research to your designs. Topics covered pertain to data collection and analysis techniques, including surveys, interviews, fieldwork, participatory design, occupancy evaluations, and memory sketching. Integrative data evaluation, theoretical sampling, triangulation, pattern matching logic, and analytical generalization are also discussed. Global research precedents, exercises, further reading, section summaries, sidebars, more than 30 black and white images and tables will help you conduct empirical inquiries in real-life contexts.
Author: Aloysius C. Anyichie
Publisher: Rowman & Littlefield
ISBN: 1666941735
Category : Education
Languages : en
Pages : 167
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Book Description
Our classrooms are increasingly including students from diverse cultural and linguistic backgrounds. Research from culturally responsive teaching (CRT) and self-regulated learning (SRL), although from different perspectives, document instructional practices that support students’ motivation and engagement. The author developed a Culturally Responsive Self-Regulated Learning Framework that integrated practices from CRT and SRL to guide educators in designing culturally inclusive classrooms. Drawing on real classroom examples that are grounded in applied school research, Self-Regulated Learning and Culturally Responsive Pedagogy: An Integrated Approach to Fostering All Learner's Engagement and Motivation documents how classroom teachers implemented the three components of this framework, including classroom foundational practices, integrated practices, and dynamic supportive practices. Specifically, it presents the experiences of classroom teachers in designing and implementing an integrated pedagogy, students’ experiences of teachers’ instructional strategies, and how those teaching practices are linked to students’ levels of motivation and engagement.
Author: Caroline I. Magyar
Publisher: Springer Science & Business Media
ISBN: 1441963030
Category : Psychology
Languages : en
Pages : 313
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Book Description
Recent years have witnessed a marked increase both in the number of children diagnosed with autism spectrum disorders (ASDs) and those placed alongside their typically developing peers in general education classrooms. These events bring with them a plethora of challenges, particularly in the areas of program design and educational practices. Developing and Evaluating Educational Programs for Students with Autism offers systematic, evidence-based guidelines—as well as tools, checklists, and other resources—for creating effective learning environments for students across the autism spectrum and the grade span. Planning, development, implementation, and continuous evaluation are examined in detail in this practical volume, which features: An overview of the ASDs, with an emphasis on effective educational practice. In-depth discussion of the ASD Program Development and Evaluation Protocol. A staff training model for personnel working with students with ASD. A detailed framework for student support teams and family-school collaboration. Specific guidelines for conducting needs assessments and student evaluations. • Case examples of applications of the protocol on the program, school, and regional levels. Developing and Evaluating Educational Programs for Students with Autism is a uniquely rigorous and thorough reference benefiting school psychologists and special education professionals as well as those in allied educational and mental health fields, including clinical child, school, and developmental psychologists, psychiatrists, and other professionals working with children with autism.
Author: Antonio Valle
Publisher: Frontiers Media SA
ISBN: 2889634922
Category :
Languages : en
Pages : 130
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Book Description
The main purpose of this Research Topic is to analyze and identify the main family and contextual variables that are involved in the process of carrying out homework. This will require studying the role played by teachers, students, and families in order to ensure that schoolwork is a useful learning tool. Although the role of the student is, obviously, crucial in homework, research has focused on the cumulative time spent by the student carrying out homework. However, the time spent on homework is not in itself evidence of the student’s involvement nor is time spent indicative of quality time. Indeed, an excess of time can sometimes denote low competence in a field of knowledge, while spending less time on homework could be indicative of high competence. It is more likely that a high dedication of time spent on homework reflects high motivation, or comprehension deficits, rather than commitment to learning or academic motivation. In tandem with the role of the student, teachers, as responsible for prescribing homework assignments for students, also become central players in the process of completing homework assignments. The decisions that teachers make about homework prescriptions, and the amount and type of tasks they set, will determine, to a large extent, the quality of the homework process including the student’s motivation and the student’s level of engagement with homework. Furthermore, the fact that homework is useful, interesting and motivating for students, will depend on how the teacher prescribes those tasks and the connection established with classroom learning. Teacher feedback also acquires particular relevance for this point by helping the students to accurately estimate the quality of their progress and overcome the difficulties they may have encountered in carrying out their homework. Lastly, the effectiveness of teacher feedback depends on its contribution to the student’s educational progress and how that student will perform in the future. In addition to the student who performs the task and the teacher who prescribes and corrects it, we must not lose sight of parents’ role. Although there are discrepancies regarding the role that parents play in relation to homework, it is evident that their implication has important consequences not only on the final result of those tasks but also on the very process of carrying them out. Everything seems to indicate that the family environment and, more specifically, the support and feedback provided by parents is a factor that can determine the involvement of students in school duties. In this way, providing emotional support encouraging children to get involved can contribute positively to improving their motivation and interest in the performance of homework. The objective of this Research Topic is to provide researchers and professionals in psychology and education settings with some of the most recent empirical evidence regarding the homework process, its prescription and correction. Overall, we aim to cease making homework a source of conflict and controversy at the socio-educational level in order to provide useful instruments for improving the quality of student learning. This work was developed with the financing of the research projects EDU2013-44062-P (MINECO), EDU2017-82984-P (MEIC).
Author: Hong Jiao
Publisher: IAP
ISBN: 1641133287
Category : Education
Languages : en
Pages : 268
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Book Description
The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments. In addition to item response data, other data collected in the process of assessment and learning will be utilized to help solve psychometric challenges and facilitate learning and other educational applications. Process data include those collected or available for collection during the process of assessment and instructional phase such as responding sequence data, log files, the use of help features, the content of web searches, etc. Some book chapters present the general exploration of process data in large-scale assessment. Further, other chapters also address how to integrate psychometrics and learning analytics in assessment and survey, how to use data mining techniques for security and cheating detection, how to use more assessment results to facilitate student’s learning and guide teacher’s instructional efforts. The book includes both theoretical and methodological presentations that might guide the future in this area, as well as illustrations of efforts to implement big data analytics that might be instructive to those in the field of learning and psychometrics. The context of the effort is diverse, including K-12, higher education, financial planning, and survey utilization. It is hoped that readers can learn from different disciplines, especially those who are specialized in assessment, would be critical to expand the ideas of what we can do with data analytics for informing assessment practices.
