Use Of Visual Displays In Research And Testing
Download Use Of Visual Displays In Research And Testing PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Use Of Visual Displays In Research And Testing book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Use of Visual Displays in Research and Testing
Visual displays play a crucial role in knowledge generation and communication. The purpose of the volume is to provide researchers with a framework that helps them use visual displays to organize and interpret data; and to communicate their findings in a comprehensible way within different research (e.g., quantitative, mixed methods) and testing traditions that improves the presentation and understanding of findings. Further, this book includes contributions from leading scholars in testing and quantitative, qualitative, and mixed methods research, and results reporting. The volume’s focal question is: What are the best principles and practices for the use of visual displays in the research and testing process, which broadly includes the analysis, organization, interpretation, and communication of data? The volume is organized into four sections. Section I provides a rationale for this volume; namely, that including visual displays in research and testing can enhance comprehension and processing efficiency. Section II includes addresses theoretical frameworks and universal design principles for visual displays. Section III examines the use of visual displays in quantitative, qualitative, and mixed methods research. Section IV focuses on using visual displays to report testing and assessment data.
Visual Displays in Qualitative and Mixed Method Research
Author: Elizabeth G. Creamer
language: en
Publisher: Taylor & Francis
Release Date: 2024-07-02
This boundary-spanning textbook explores diverse ways that visual display can advance understanding of complex social phenomenon in applied fields in the social and human sciences. It provides a window into the latest advances in mixed methods research (MMR) by investigating how integrative tables and figures have been creatively adapted in diverse contemporary contexts where qualitative methods are prominent. The book affirms that the usefulness of visual displays is not restricted to reporting; it extends to helping investigators conceptualize a research problem, embed quality in research design during planning, advance multi-dimensional sampling, to extend analysis, and as a tool to highlight integration during reporting. Chapters feature examples that demonstrate how different shapes and textual devices that are available through basic word processing software can help an investigator to think more complexly about the multi-dimensionality or temporality of a construct, process, or phenomenon. Tailored for emerging scholars, this comprehensive resource book will prove useful in seminars and workshops designed to assist students in writing a research proposal. It is it is an invaluable textbook for a new generation of hybrid research methods courses that combine qualitative and mixed methods in the social sciences, education, and healthcare.
Handbook of Quantitative Methods for Detecting Cheating on Tests
The rising reliance on testing in American education and for licensure and certification has been accompanied by an escalation in cheating on tests at all levels. Edited by two of the foremost experts on the subject, the Handbook of Quantitative Methods for Detecting Cheating on Tests offers a comprehensive compendium of increasingly sophisticated data forensics used to investigate whether or not cheating has occurred. Written for practitioners, testing professionals, and scholars in testing, measurement, and assessment, this volume builds on the claim that statistical evidence often requires less of an inferential leap to conclude that cheating has taken place than do other, more common sources of evidence. This handbook is organized into sections that roughly correspond to the kinds of threats to fair testing represented by different forms of cheating. In Section I, the editors outline the fundamentals and significance of cheating, and they introduce the common datasets to which chapter authors' cheating detection methods were applied. Contributors describe, in Section II, methods for identifying cheating in terms of improbable similarity in test responses, preknowledge and compromised test content, and test tampering. Chapters in Section III concentrate on policy and practical implications of using quantitative detection methods. Synthesis across methodological chapters as well as an overall summary, conclusions, and next steps for the field are the key aspects of the final section.