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Boško, Martin; Vonková, Hana; Papajoanu, Ondrej; Moore, Angie – Bulgarian Comparative Education Society, 2023
International large-scale assessments, such as Programme for International Student Assessment (PISA), are a crucial source of information for education researchers and policymakers. The assessment also includes a student questionnaire, however, the data can be biased by the differences in reporting behavior between students. In this paper, we…
Descriptors: Comparative Analysis, Response Style (Tests), Foreign Countries, Institutional Characteristics
Wu, Mike; Davis, Richard L.; Domingue, Benjamin W.; Piech, Chris; Goodman, Noah – International Educational Data Mining Society, 2020
Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…
Descriptors: Item Response Theory, Accuracy, Data Analysis, Public Policy
Steinmann, Isa; Braeken, Johan; Strietholt, Rolf – AERA Online Paper Repository, 2021
This study investigates consistent and inconsistent respondents to mixed-worded questionnaire scales in large-scale assessments. Mixed-worded scales contain both positively and negatively worded items and are universally applied in different survey and content areas. Due to the changing wording, these scales require a more careful reading and…
Descriptors: Questionnaires, Measurement, Test Items, Response Style (Tests)
Debeer, Dries; Janssen, Rianne – AERA Online Paper Repository, 2016
In educational assessments two types of missing responses can be discerned: items can be "not reached" or "skipped". Both types of omissions may be related to the test taker's proficiency, resulting in non-ignorable missingness. This paper proposes to model not reached and skipped items as part of the response process, using…
Descriptors: International Assessment, Foreign Countries, Achievement Tests, Secondary School Students
Hayashi, Yugo; Takeuchi, Yugo – International Educational Data Mining Society, 2018
This study investigated the factors underlying the estimation of learner self-confidence during explanations with a conversational agent in an online explanation task. Based on reviews of previous studies, we focused on how factors such as the learner's task activities and personal characteristics can be predictors. To examine these points, we…
Descriptors: Self Efficacy, Task Analysis, Cognitive Processes, Individual Characteristics
Tristan-Lopez, Agustin; Mendoza-Gonzalez, Liliana; Diaz-Gutierrez, Maria Antonieta; Flores-Vazquez, Gustavo; Solis-Gonzalez, Roberto; Canales-Sanchez, Damian; Morelos-Mora, Placido; de la C. Hernandez, Yesenia – Online Submission, 2008
The international OECD PISA [Programme for International Assessment] 2006 test focused on the performance of Sciences of 15 years old students. The unsatisfactory results from Mexico were submitted to analysis, including multilevel models, to explain the origin of their deficiencies. It was clear that a differential functioning behavior or a…
Descriptors: Science Achievement, Science Tests, Test Validity, Test Construction
Schulz, Wolfram – Online Submission, 2006
International studies like PISA use context student or school questionnaires to collect data on student family background, attitudes and learning context. Questionnaire constructs are typically measured using dichotomous or Likert-type items. Scaling of questionnaire items in order to obtain measures of family background, student attitudes or…
Descriptors: Foreign Countries, International Studies, Student Attitudes, Scaling