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Postgraduate Outcomes of College Students
The post-graduation outcomes of college students are being more widely used as key metrics to demonstrate institutional effectiveness to both external agencies and internal stakeholders. Institutional research offices play an integral role in these data collection efforts. However, underlying challenges exist regarding obtaining an adequate amount of survey responses and salary or earnings information. This volume focuses on the first-destination outcomes (e.g., earnings, employment, graduate/ professional school enrollment) of college graduates while recognizing that other outcomes are also relevant across institutional settings. Through the use of current research, case studies, and best p...
Handbook on Measurement, Assessment, and Evaluation in Higher Education
In this valuable resource, well-known scholars present a detailed understanding of contemporary theories and practices in the fields of measurement, assessment, and evaluation, with guidance on how to apply these ideas for the benefit of students and institutions. Bringing together terminology, analytical perspectives, and methodological advances, this second edition facilitates informed decision-making while connecting the latest thinking in these methodological areas with actual practice in higher education. This research handbook provides higher education administrators, student affairs personnel, institutional researchers, and faculty with an integrated volume of theory, method, and application.
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Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion
CSCW '16: Computer Supported Cooperative Work and Social Computing Feb 27, 2016-Mar 02, 2016 San Francisco, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Internet, Phone, Mail, and Mixed-Mode Surveys
The classic survey design reference, updated for the digital age For over two decades, Dillman's classic text on survey design has aided both students and professionals in effectively planning and conducting mail, telephone, and, more recently, Internet surveys. The new edition is thoroughly updated and revised, and covers all aspects of survey research. It features expanded coverage of mobile phones, tablets, and the use of do-it-yourself surveys, and Dillman's unique Tailored Design Method is also thoroughly explained. This invaluable resource is crucial for any researcher seeking to increase response rates and obtain high-quality feedback from survey questions. Consistent with current emp...
Survey Errors and Survey Costs
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Survey Errors and Survey Costs is a well-written, well-presented, and highly readable text that should be on every error-conscious statistician’s bookshelf. Any courses that cover the theory and design of surveys should certainly have Survey Errors and Survey Costs on their reading lists." –Phil Edwards MEL, Aston University...
Using Evidence of Student Learning to Improve Higher Education
American higher education needs a major reframing of student learning outcomes assessment Dynamic changes are underway in American higher education. New providers, emerging technologies, cost concerns, student debt, and nagging doubts about quality all call out the need for institutions to show evidence of student learning. From scholars at the National Institute for Learning Outcomes Assessment (NILOA), Using Evidence of Student Learning to Improve Higher Education presents a reframed conception and approach to student learning outcomes assessment. The authors explain why it is counterproductive to view collecting and using evidence of student accomplishment as primarily a compliance activi...
Assessment of Learning Outcomes in Higher Education
This book offers a comprehensive overview of current, innovative approaches to assessing generic and domain-specific learning outcomes in higher education at both national and international levels. It discusses the most significant initiatives over the past decade to develop objective, valid, and reliable assessment tools and presents state-of-the-art procedures to adapt and validate them for use in other countries. The authors highlight key conceptual and methodological challenges connected with intra-national and cross-national assessment of learning outcomes in higher education; introduce novel approaches to improving assessment, evaluation, testing, and measurement practices; and offer exemplary implementation frameworks. Further, they examine the results of and lessons learned from various recent, world-renowned research programs and feasibility studies, and present results from their own studies to provide new insights into how to draw valid conclusions about learning outcomes achieved in various contexts.
Mixed-Mode Official Surveys
Mixed-mode surveys have become a standard at many statistical institutes. However, the introduction of multiple modes in one design goes with challenges to both methodology and logistics. Mode-specific representation and measurement differences become explicit and demand for solutions in data collection design, questionnaire design, and estimation. This is especially true when surveys are repeated and are input to long time series of official statistics. So how can statistical institutes deal with such changes? What are the origins of mode-specific error? And how can they be dealt with? In this book, the authors provide answers to these questions, and much more. Features Concise introduction to all the key elements of mixed-mode survey design and analysis Realistic official statistics examples from three general population surveys Suitable for survey managers and survey statisticians alike An overview of mode-specific representation and measurement errors and how to avoid, reduce and adjust them.
