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Direct linkShin, Jinnie; Gierl, Mark J. – International Journal of Testing, 2022
Over the last five years, tremendous strides have been made in advancing the AIG methodology required to produce items in diverse content areas. However, the one content area where enormous problems remain unsolved is language arts, generally, and reading comprehension, more specifically. While reading comprehension test items can be created using…
Descriptors: Reading Comprehension, Test Construction, Test Items, Natural Language Processing
Magraw-Mickelson, Zoe; Wang, Harry H.; Gollwitzer, Mario – International Journal of Testing, 2022
Much psychological research depends on participants' diligence in filling out materials such as surveys. However, not all participants are motivated to respond attentively, which leads to unintended issues with data quality, known as careless responding. Our question is: how do different modes of data collection--paper/pencil, computer/web-based,…
Descriptors: Response Style (Tests), Surveys, Data Collection, Test Format
Wise, Steven L.; Soland,, James; Bo, Yuanchao – International Journal of Testing, 2020
Disengaged test taking tends to be most prevalent with low-stakes tests. This has led to questions about the validity of aggregated scores from large-scale international assessments such as PISA and TIMSS, as previous research has found a meaningful correlation between the mean engagement and mean performance of countries. The current study, using…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
Eckes, Thomas; Jin, Kuan-Yu – International Journal of Testing, 2021
Severity and centrality are two main kinds of rater effects posing threats to the validity and fairness of performance assessments. Adopting Jin and Wang's (2018) extended facets modeling approach, we separately estimated the magnitude of rater severity and centrality effects in the web-based TestDaF (Test of German as a Foreign Language) writing…
Descriptors: Language Tests, German, Second Languages, Writing Tests
Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
Shavelson, Richard J.; Zlatkin-Troitschanskaia, Olga; Beck, Klaus; Schmidt, Susanne; Marino, Julian P. – International Journal of Testing, 2019
Following employers' criticisms and recent societal developments, policymakers and educators have called for students to develop a range of generic skills such as critical thinking ("twenty-first century skills"). So far, such skills have typically been assessed by student self-reports or with multiple-choice tests. An alternative…
Descriptors: Critical Thinking, Cognitive Tests, Performance Based Assessment, Student Evaluation
Zlatkin-Troitschanskaia, Olga; Kuhn, Christiane; Brückner, Sebastian; Leighton, Jacqueline P. – International Journal of Testing, 2019
Teaching performance can be assessed validly only if the assessment involves an appropriate, authentic representation of real-life teaching practices. Different skills interact in coordinating teachers' actions in different classroom situations. Based on the evidence-centered design model, we developed a technology-based assessment framework that…
Descriptors: Computer Assisted Testing, Teacher Effectiveness, Teaching Skills, Reflection
Evers, Arne; McCormick, Carina M.; Hawley, Leslie R.; Muñiz, José; Balboni, Giulia; Bartram, Dave; Boben, Dusica; Egeland, Jens; El-Hassan, Karma; Fernández-Hermida, José R.; Fine, Saul; Frans, Örjan; Gintiliené, Grazina; Hagemeister, Carmen; Halama, Peter; Iliescu, Dragos; Jaworowska, Aleksandra; Jiménez, Paul; Manthouli, Marina; Matesic, Krunoslav; Michaelsen, Lars; Mogaji, Andrew; Morley-Kirk, James; Rózsa, Sándor; Rowlands, Lorraine; Schittekatte, Mark; Sümer, H. Canan; Suwartono, Tono; Urbánek, Tomáš; Wechsler, Solange; Zelenevska, Tamara; Zanev, Svetoslav; Zhang, Jianxin – International Journal of Testing, 2017
On behalf of the International Test Commission and the European Federation of Psychologists' Associations a world-wide survey on the opinions of professional psychologists on testing practices was carried out. The main objective of this study was to collect data for a better understanding of the state of psychological testing worldwide. These data…
Descriptors: Testing, Attitudes, Surveys, Psychologists
Lee, Yi-Hsuan; Haberman, Shelby J. – International Journal of Testing, 2016
The use of computer-based assessments makes the collection of detailed data that capture examinees' progress in the tests and time spent on individual actions possible. This article presents a study using process and timing data to aid understanding of an international language assessment and the examinees. Issues regarding test-taking strategies,…
Descriptors: Computer Assisted Testing, Test Wiseness, Language Tests, International Assessment
Gierl, Mark J.; Lai, Hollis – International Journal of Testing, 2012
Automatic item generation represents a relatively new but rapidly evolving research area where cognitive and psychometric theories are used to produce tests that include items generated using computer technology. Automatic item generation requires two steps. First, test development specialists create item models, which are comparable to templates…
Descriptors: Foreign Countries, Psychometrics, Test Construction, Test Items
Makransky, Guido; Glas, Cees A. W. – International Journal of Testing, 2013
Cognitive ability tests are widely used in organizations around the world because they have high predictive validity in selection contexts. Although these tests typically measure several subdomains, testing is usually carried out for a single subdomain at a time. This can be ineffective when the subdomains assessed are highly correlated. This…
Descriptors: Foreign Countries, Cognitive Ability, Adaptive Testing, Feedback (Response)
