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The Concept of Validity
Validity is widely held to be the most important criterion for an assessment. Nevertheless, assessment professionals have disagreed about the meaning of validity almost from the introduction of the term as applied to testing about 100 years ago. Over the years, the best and brightest people in assessment have contributed their thinking to this problem and the fact that they have not agreed is testimony to the complexity and importance of validity. Even today, ways to define validity are being debated in the published literature in the assessment profession. How can such a fundamental concept be so controversial? This book brings focus to diverse perspectives about validity. Its chapter autho...
Machine Learning, Natural Language Processing, and Psychometrics
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better understand the assessment products or accuracy and the process how an item product was attained. The analysis of the conventional and non-conventional assessment data calls for more methodology other than the latent trait modeling. Natural language processing (NLP) methods and machine learning algorithms have been successfully applied in automated scor...
Data Analytics and Psychometrics
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 searche...
Enhancing Effective Instruction and Learning Using Assessment Data
This book introduces theories and practices for using assessment data to enhance learning and instruction. Topics include reshaping the homework review process, iterative learning engineering, learning progressions, learning maps, score report designing, the use of psychosocial data, and the combination of adaptive testing and adaptive learning. In addition, studies proposing new methods and strategies, technical details about the collection and maintenance of process data, and examples illustrating proposed methods and software are included. Chapters 1, 4, 6, 8, and 9 discuss how to make valid interpretations of results and achieve more efficient instructions from various sources of data. C...
Test Fairness in the New Generation of Large?Scale Assessment
The new generation of tests is faced with new challenges. In the K?12 setting, the new learning targets are intended to assess higher?order thinking skills and prepare students to be ready for college and career and to keep American students competitive with their international peers. In addition, the new generation of state tests requires the use of technology in item delivery and embedding assessment in real?world, authentic, situations. It further requires accurate assessment of students at all ability levels. One of the most important questions is how to maintain test fairness in the new assessments with technology innovative items and technology delivered tests. In the traditional testi...
Technology Enhanced Innovative Assessment
Assessment innovation tied to technology is greatly needed in a wide variety of assessment applications. This book adopts an interdisciplinary perspective to learn from advances in developing technology enhanced innovative assessments from multiple fields. The book chapters address the development of virtual assessments including game?based assessment, simulation?based assessment, and narrative based assessment as well as how simulation and game based assessments serve both formative and summative purposes. Further, chapters address the critical challenge of integrating assessment directly into the learning process so that teacher effectiveness and student learning can be enhanced. Two chapt...
Value Added Modeling and Growth Modeling with Particular Application to Teacher and School Effectiveness
Modeling student growth has been a federal policy requirement under No Child Left Behind (NCLB). In addition to tracking student growth, the latest Race To The Top (RTTP) federal education policy stipulates the evaluation of teacher effectiveness from the perspective of added value that teachers contribute to student learning and growth. Student growth modeling and teacher value-added modeling are complex. The complexity stems, in part, from issues due to non-random assignment of students into classes and schools, measurement error in students’ achievement scores that are utilized to evaluate the added value of teachers, multidimensionality of the measured construct across multiple grades,...
Informing the Practice of Teaching Using Formative and Interim Assessment
This book focuses on interim and formative assessments as distinguished from the more usual interest in summative assessment. I was particularly interested in seeing what the experts have to say about a full system of assessment. This book has particular interest in what information a teacher, a school or even a state could collect that monitors the progress of a student as he or she learns. The authors were asked to think about assessing the effects of teaching and learning throughout the student’s participation in the curriculum. This book is the product of a conference by the Maryland Assessment Research Center for Education Success (MARCES) with funding from the Maryland State Department of Education.
