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Hien Tran Thuy; Son Le Phuoc – Mathematics Teaching Research Journal, 2023
The goal of this research was to provide a general assessment framework of students' statistical reasoning in medicine, then build three scales to assess students' statistical reasoning ability in solving practical medical problems, including Description, Interpretation and Prediction. On that basis, the study designed a set of tools to assess…
Descriptors: Evaluation, Statistics, Statistical Analysis, Medical Education
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Basar, Ozlem Deniz; Genc, Elif Guneren – International Journal of Higher Education, 2018
The quality of an adult's daily working life comprising the major part of his life, will also increase the quality of his social life. Having a good working life is also associated with having a job that one desires and regards it as suitable for himself. But as will be acknowledged all over the world, the quality of a job that one can have will…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Kaplan, David; Su, Dan – Journal of Educational and Behavioral Statistics, 2016
This article presents findings on the consequences of matrix sampling of context questionnaires for the generation of plausible values in large-scale assessments. Three studies are conducted. Study 1 uses data from PISA 2012 to examine several different forms of missing data imputation within the chained equations framework: predictive mean…
Descriptors: Sampling, Questionnaires, Measurement, International Assessment
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Huang, Hung-Yu – Educational and Psychological Measurement, 2020
In educational assessments and achievement tests, test developers and administrators commonly assume that test-takers attempt all test items with full effort and leave no blank responses with unplanned missing values. However, aberrant response behavior--such as performance decline, dropping out beyond a certain point, and skipping certain items…
Descriptors: Item Response Theory, Response Style (Tests), Test Items, Statistical Analysis
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Casabianca, Jodi M.; Lewis, Charles – Journal of Educational and Behavioral Statistics, 2018
The null hypothesis test used in differential item functioning (DIF) detection tests for a subgroup difference in item-level performance--if the null hypothesis of "no DIF" is rejected, the item is flagged for DIF. Conversely, an item is kept in the test form if there is insufficient evidence of DIF. We present frequentist and empirical…
Descriptors: Test Bias, Hypothesis Testing, Bayesian Statistics, Statistical Analysis
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Grama?ki, Iulian – Education Economics, 2017
This paper investigates the gap in Financial Literacy (FL) between native and immigrant 15-year-old school students using data from the 2012 PISA Financial Literacy Assessment. The size of the gap is about 0.15 standard deviations, going up to 0.3 for first-generation immigrants. This is partly because immigrants have poorer economic background,…
Descriptors: Money Management, Knowledge Level, Secondary School Students, Unskilled Workers
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Krupar, Allyson; Horvatek, Renata; Byun, Soo-yong – Adult Education Quarterly: A Journal of Research and Theory, 2017
This article examined the relationship between participation in adult nonformal education (NFE), defined as on-the-job training, attending private lessons, attending seminars, or distance learning, and Canadian immigrant respondents' literacy and numeracy outcomes, using data from the Program for the International Assessment of Adult Competencies…
Descriptors: Nonformal Education, Adult Learning, On the Job Training, Seminars
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Braun, Henry; von Davier, Matthias – Large-scale Assessments in Education, 2017
Background: Economists are making increasing use of measures of student achievement obtained through large-scale survey assessments such as NAEP, TIMSS, and PISA. The construction of these measures, employing plausible value (PV) methodology, is quite different from that of the more familiar test scores associated with assessments such as the SAT…
Descriptors: Scores, Test Use, Measurement, Psychometrics
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Pokropek, Artur – Large-scale Assessments in Education, 2016
In the social sciences, estimating causal effects is particularly difficult. Gold standards are set by randomized experiments in many cases expensive, unenforceable for ethical and practical reasons. Recent research has drawn attention to techniques that under some conditions, could estimate causal effects on non-experimental observable data. One…
Descriptors: Measurement, International Assessment, Student Evaluation, Attribution Theory
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Tan, Cheng Yong – Cambridge Journal of Education, 2018
The present study examined indirect effects of principal leadership on the mathematics achievement of 254,475 15-year-old students from 10,313 schools in 32 OECD economies. Results showed that the students could be divided into three categories ("Disadvantaged," "Average," and "Privileged") differing in levels of…
Descriptors: Mathematics Achievement, Disadvantaged, Advantaged, Socioeconomic Status
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Bulut, Okan; Yavuz, Hatice Cigdem – International Journal of Assessment Tools in Education, 2019
Educational data mining (EDM) has been a rapidly growing research field over the last decade and enabled researchers to discover patterns and trends in education with more sophisticated methods. EDM offers promising solutions to complex educational problems. Given the rapid increase in the availability of big data in education and software…
Descriptors: Data Analysis, Educational Research, Educational Researchers, Computer Software
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Sciffer, Michael G.; Perry, Laura B.; McConney, Andrew – British Journal of Sociology of Education, 2020
School socio-economic compositional (SEC) effects have been influential in educational research predicting a range of outcomes and influencing public policy. However, some recent studies have challenged the veracity of SEC effects when applying residualised-change and fixed effects models and simulating potential measurement errors in hierarchical…
Descriptors: School Demography, Socioeconomic Status, Socioeconomic Influences, Context Effect
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Finch, W. Holmes; Marchant, Gregory J. – Online Submission, 2017
A recursive partitioning model approach in the form of classification and regression trees (CART) was used with 2012 PISA data for five countries (Canada, Finland, Germany, Singapore-China, and the Unites States). The objective of the study was to determine demographic and educational variables that differentiated between low SES student that were…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Pesando, Luca Maria – Education Economics, 2018
Using data from the 2012 Programme for International Student Assessment (PISA) for Italy, this paper investigates whether financial literacy skills play a role in shaping the value that high school students place on schooling. I hypothesize that higher financial literacy may foster students' awareness of the financial and non-financial benefits of…
Descriptors: High School Students, Money Management, Student Attitudes, Educational Attitudes
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Wong, Tracy K. Y.; Tao, Xi; Konishi, Chiaki – Issues in Educational Research, 2018
This study explored the extent to which teachers' instrumental (i.e., tangible aid to promote learning) and appraisal support (i.e., teacher feedback) enhanced students' achievement in mathematics. Participants included 13,950 fifteen-year-old Canadian students who participated in the 2012 Programme for International Student Assessment. Based on…
Descriptors: Mathematics Instruction, Mathematics Achievement, Feedback (Response), Regression (Statistics)
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