Download or read book A Study of Strategies for Multistage Testing written by Jayadev Misra and published by . This book was released on 1972 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Research for Practical Issues and Solutions in Computerized Multistage Testing written by Alina von Davier and published by Routledge. This book was released on 2025-01-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a comprehensive collection of the latest research findings supporting the current and future implementations and applications of computerized multistage testing (MST). As a sequel to the widely acclaimed "Computerized Multistage Testing: Theory and Applications" (2014) by Yan, von Davier, and Lewis, this volume delves into the experiences, considerations, challenges, and lessons learned over the past years. It also offers practical approaches and solutions to the issues encountered. The topics covered include: purposeful MST designs, practical approaches for optimal design, assembly strategies for accuracy and efficiency, Hybrid designs, MST with natural language processing, practical routing considerations and methodologies, item calibration and proficiency estimation methods, routing and classification accuracy, added value of process data, prediction and evaluation of MST performance, cognitive diagnostic MST, differential item functioning, robustness of statistical methods, simulations, test security, the new digital large-scale SAT, software for practical assessment and simulations, AI impact, and the future of adaptive multistage testing. This volume is intended for students, faculty, researchers, practitioners, and education officers in the fields of educational measurement and evaluation, both in the United States and internationally.

Download or read book Computerized Multistage Testing written by Duanli Yan and published by CRC Press. This book was released on 2016-04-19 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement because it can be adapted to educational surveys and student testing. This volume provides the first unified source of information on the design, psychometrics, implementation, and operational use of MST. It shows how to apply theoretical statistical tools to testing in novel and useful ways. It also explains how to explicitly tie the assumptions made by each model to observable (or at least inferable) data conditions.

Download or read book Computerized Adaptive and Multistage Testing with R written by David Magis and published by Springer. This book was released on 2017-11-23 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the team) and that include some of the newest research algorithms on the topic. The book covers many topics along with the R-code: the basics of R, theoretical overview of CAT and MST, CAT designs, CAT assembly methodologies, CAT simulations, catR package, CAT applications, MST designs, IRT-based MST methodologies, tree-based MST methodologies, mstR package, and MST applications. CAT has been used in many large-scale assessments over recent decades, and MST has become very popular in recent years. R open source language also has become one of the most useful tools for applications in almost all fields, including business and education. Though very useful and popular, R is a difficult language to learn, with a steep learning curve. Given the obvious need for but with the complex implementation of CAT and MST, it is very difficult for users to simulate or implement CAT and MST. Until this manual, there has been no book for users to design and use CAT and MST easily and without expense; i.e., by using the free R software. All examples and illustrations are generated using predefined scripts in R language, available for free download from the book's website.

Download or read book Computerized Multistage Testing written by Duanli Yan and published by . This book was released on 2016 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Devising tests that evaluate a nation's educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is highly suitable for testing educational achievement be.

Download or read book A Top down Approach for Optimally Designing Multistage adaptive Tests written by Hwanggyu Lim and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In multistage-adaptive testing (MST), there are many interrelated design variables that impact the nature and quality of ability estimation. Previous research has identified general principles for the effective design of MSTs in terms of measurement performance. However, those principles are unlikely to apply uniformly to every testing context. The purpose of this dissertation is to propose a process of finding an MST design that has optimal measurement properties, given a specific set of test circumstances. To achieve this goal, an efficient strategy was introduced at each of three phases to discover the optimal design of the MST; constructing MSTs, systematically searching a design space of the MST, and evaluating the MST performance. For the first phase, a top-down approach was applied in this study. For the second phase, a way to systematically search the parameterized design space of an MST was used. For the third phase, a new analytical evaluation method for MST was proposed. In the dissertation, Study 1 proposed a new analytical evaluation method for MST. Using this new approach, measurement precision of ability estimation and classification accuracy could be derived analytically. The simulation results indicated that the new analytical method produced more exact measurement properties of an MST than the Monte Carlo simulation method. Therefore, the new analytical method would be the most efficient and competitive tool to asses measurement performance of an MST among other evaluation methods. Study 2 proposed a process to find a design of an MST that shows optimal measurement properties applying the three efficient strategies, given a specific set of testing context. The process consists of four important features: (1) setting a testing circumstance and MST design space, (2) systematically searching the MST design space using the top-down approach, (3) analytically evaluating measurement performance of an MST, and (4) computing objective functions. The suggested process was applied to a real item pool from a large-scale assessment. The results of the application study provided evidence that the process could be generalized to more complex and realistic test circumstances to create optimal designs of MST.

Download or read book Computer Based Testing written by Craig N. Mills and published by Routledge. This book was released on 2005-04-11 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although computer-based tests (CBT) have been administered for many years, improvements in the speed and power of computers coupled with reductions in their cost have made large-scale computer delivery of tests increasingly feasible. CBT is now a common form of test delivery for licensure, certification, and admissions tests. Many large-scale, high-stakes testing programs have introduced CBT either as an option or as the sole means of test delivery. Although this movement to CBT has, to a great extent, been successful, it has not been without problems. Advances in psychometrics are required to ensure that those who rely on test results can have at least the same confidence in CBTs as they have in traditional forms of assessment. This volume stems from an ETS-sponsored colloquium in which more than 200 measurement professionals from eight countries and 29 states convened to assess the current and future status of CBT. The formal agenda for the colloquium was divided into three major segments: Test Models, Test Administration, and Test Analysis and Scoring. Each segment consisted of several presentations followed by comments from noted psychometricians and a break-out session in which presenters and discussants identified important issues and established priorities for a CBT research agenda. This volume contains the papers presented at the colloquium, the discussant remarks based on those papers, and the research agenda that was generated from the break-out sessions. Computer-Based Testing: Building the Foundation for Future Assessments is must reading for professionals, scholars, and advanced students working in the testing field, as well as people in the information technology field who have an interest in testing.

Download or read book An Investigation of the Optimal Test Design for Multi stage Test Using the Generalized Partial Credit Model written by Ling-Yin Chen and published by . This book was released on 2010 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the design of Multistage testing (MST) has received increasing attention, previous studies mostly focused on comparison of the psychometric properties of MST with CAT and paper-and-pencil (P & P) test. Few studies have systematically examined the number of items in the routing test, the number of subtests in a stage, or the number of stages in a test design to achieve accurate measurement in MST. Given that none of the studies have identified an ideal MST test design using polytomously-scored items, the current study conducted a simulation to investigate the optimal design for MST using generalized partial credit model (GPCM). Eight different test designs were examined on ability estimation across two routing test lengths (short and long) and two total test lengths (short and long). The item pool and generated item responses were based on items calibrated from a national test consisting of 273 partial credit items. Across all test designs, the maximum information routing method was employed and the maximum likelihood estimation was used for ability estimation. Ten samples of 1,000 simulees were used to assess each test design. The performance of each test design was evaluated in terms of the precision of ability estimates, item exposure rate, item pool utilization, and item overlap. The study found that all test designs produced very similar results. Although there were some variations among the eight test structures in the ability estimates, results indicate that the performance overall of these eight test structures in achieving measurement precision did not substantially deviate from one another with regard to total test length and routing test length. However, results from the present study suggest that routing test length does have a significant effect on the number of non-convergent cases in MST tests. Short routing tests tended to result in more non-convergent cases, and the presence of fewer stage tests yielded more of such cases than structures with more stages. Overall, unlike previous findings, the results of the present study indicate that the MST test structure is less likely to be a factor impacting ability estimation when polytomously-scored items are used, based on GPCM.

Download or read book Recent Developments in Multiple Comparison Procedures written by Yoav Benjamini and published by IMS. This book was released on 2004 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Development and Validation of a Computerized Adaptive EFL Test written by Lianzhen He and published by Springer Nature. This book was released on with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computerized Adaptive Testing written by David J. Weiss and published by Guilford Publications. This book was released on 2024-06-12 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: "CAT is the use of artificial intelligence and machine learning to create a test unique to each person in real time. CAT: From Concept to Implementation is designed to take you from your initial decision to implement a CAT through each step in the process of fielding a CAT that will provide its benefits both to your examinees and to your organization. It describes how CATs are developed, and how they are implemented using current advanced psychometric methods"--

Download or read book Statistical Testing Strategies in the Health Sciences written by Albert Vexler and published by CRC Press. This book was released on 2017-12-19 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Testing Strategies in the Health Sciences provides a compendium of statistical approaches for decision making, ranging from graphical methods and classical procedures through computationally intensive bootstrap strategies to advanced empirical likelihood techniques. It bridges the gap between theoretical statistical methods and practical procedures applied to the planning and analysis of health-related experiments. The book is organized primarily based on the type of questions to be answered by inference procedures or according to the general type of mathematical derivation. It establishes the theoretical framework for each method, with a substantial amount of chapter notes included for additional reference. It then focuses on the practical application for each concept, providing real-world examples that can be easily implemented using corresponding statistical software code in R and SAS. The book also explains the basic elements and methods for constructing correct and powerful statistical decision-making processes to be adapted for complex statistical applications. With techniques spanning robust statistical methods to more computationally intensive approaches, this book shows how to apply correct and efficient testing mechanisms to various problems encountered in medical and epidemiological studies, including clinical trials. Theoretical statisticians, medical researchers, and other practitioners in epidemiology and clinical research will appreciate the book’s novel theoretical and applied results. The book is also suitable for graduate students in biostatistics, epidemiology, health-related sciences, and areas pertaining to formal decision-making mechanisms.

Download or read book A Fair Comparison of the Performance of Computerized Adaptive Testing Snd Multistage Adaptive Testing written by Keyin Wang and published by . This book was released on 2017 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Notices of the American Mathematical Society written by American Mathematical Society and published by . This book was released on 1973 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains articles of significant interest to mathematicians, including reports on current mathematical research.

Download or read book Handbook of Diagnostic Classification Models written by Matthias von Davier and published by Springer Nature. This book was released on 2019-10-11 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides an overview of major developments around diagnostic classification models (DCMs) with regard to modeling, estimation, model checking, scoring, and applications. It brings together not only the current state of the art, but also the theoretical background and models developed for diagnostic classification. The handbook also offers applications and special topics and practical guidelines how to plan and conduct research studies with the help of DCMs. Commonly used models in educational measurement and psychometrics typically assume a single latent trait or at best a small number of latent variables that are aimed at describing individual differences in observed behavior. While this allows simple rankings of test takers along one or a few dimensions, it does not provide a detailed picture of strengths and weaknesses when assessing complex cognitive skills. DCMs, on the other hand, allow the evaluation of test taker performance relative to a potentially large number of skill domains. Most diagnostic models provide a binary mastery/non-mastery classification for each of the assumed test taker attributes representing these skill domains. Attribute profiles can be used for formative decisions as well as for summative purposes, for example in a multiple cut-off procedure that requires mastery on at least a certain subset of skills. The number of DCMs discussed in the literature and applied to a variety of assessment data has been increasing over the past decades, and their appeal to researchers and practitioners alike continues to grow. These models have been used in English language assessment, international large scale assessments, and for feedback for practice exams in preparation of college admission testing, just to name a few. Nowadays, technology-based assessments provide increasingly rich data on a multitude of skills and allow collection of data with respect to multiple types of behaviors. Diagnostic models can be understood as an ideal match for these types of data collections to provide more in-depth information about test taker skills and behavioral tendencies.

Download or read book The Use of Complex Structure Items in Multistage Testing written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: When developing tests, measurement experts may prefer simple-structure items because they measure one trait, which simplifies scoring and scoring interpretation. Conversely, complex-structure items may be preferred to reflect the complexity of multidimensional constructs. The current study sought to address the gap in the literature of multi-stage testing by conducting a simulation study with a hypothetical two-stage adaptive test with a purpose of comparing the performance of simple and complex structure items. The findings suggest that with a longer test (60 items), the two types of items performed similarly with respect to bias and RMSE of the trait estimates. For the shorter test (36 items), some of the outcome metrics favored using complex-structure items over simple-structure items. However, the small advantages of using complex-structure items may not be worthwhile, especially considering the potentially more difficult process of writing complex-structure items.

Download or read book Assessing Students in the Margin written by Michael Russell and published by IAP. This book was released on 2011-02-01 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The importance of student assessment, particularly for summative purposes, has increased greatly over the past thirty years. At the same time, emphasis on including all students in assessment programs has also increased. Assessment programs, whether they are large-scale, district-based, or teacher developed, have traditionally attempted to assess students using a single instrument administered to students under the same conditions. Educators and test developers, however, are increasingly acknowledging that this practice does not result in valid information, inferences, and decisions for all students. This problem is particularly true for students in the margins, whose characteristics and needs differ from what the public thinks of as the general population of students. Increasingly, educators, educational leaders, and test developers are seeking strategies, techniques, policies, and guidelines for assessing students for whom standard assessment instruments do not function well. Whether used for high-stakes decisions or classroom-based formative decisions, the most critical element of any educational assessment is validity. Developing and administering assessment instruments that provide valid measures and allow for valid inferences and decisions for all groups of students presents a major challenge for today’s assessment programs. Over the past few decades, several national policies have sparked research and development efforts that aim to increase test validity for students in the margins. This book explores recent developments and efforts in three important areas. The first section focuses on strategies for improving test validity through the provision of test accommodations. The second section focuses on alternate and modified assessments. Federal policies now allow testing programs to develop and administer alternate assessments for students who have not been exposed to grade-level content, and thus are not expected to demonstrate proficiency on grade-level assessments. A separate policy allows testing programs to develop modified assessments that will provided more useful information about achievement for a small percentage of students who are exposed to grade-level content but for whom the standard form of the grade-level test does not provide a valid measure of achievement. These policies are complex and can be confusing for educators who are not familiar with their details. The chapters in the second section unpack these policies and explore the implications these policies have for test design. The third and final section of the book examines how principles of Universal Design can be applied to improve test validity for all students. Collectively, this volume presents a comprehensive examination of the several issues that present challenges for assessing the achievement of all students. While our understanding of how to overcome these challenges continues to evolve, the lessons, strategies, and avenues for future research explored in this book empower educators, test developers, and testing programs with a deeper understanding of how we can improve assessments for students in the margins.