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Long, Caroline; Engelbrecht, Johann; Scherman, Vanessa; Dunne, Tim – Pythagoras, 2016
The purpose of the South African Mathematics Olympiad is to generate interest in mathematics and to identify the most talented mathematical minds. Our focus is on how the handling of missing data affects the selection of the 'best' contestants. Two approaches handling missing data, applying the Rasch model, are described. The issue of guessing is…
Descriptors: Foreign Countries, Competition, Secondary School Students, Talent Identification
Komatsu, Kotaro; Tsujiyama, Yosuke; Sakamaki, Aruta; Koike, Norio – For the Learning of Mathematics, 2014
It has become gradually accepted that proof and proving are essential at all grades of mathematical learning. Among the various aspects of proof and proving, this study addresses proofs and refutations described by Lakatos, in particular a part of increasing content by deductive guessing, to introduce an authentic process into mathematics…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Guessing (Tests)
Otwinowska, Agnieszka; Szewczyk, Jakub M. – International Journal of Bilingual Education and Bilingualism, 2019
In this study we explored factors that determine the knowledge of L2 words with orthographic neighbours in L1 (cognates and false cognates). We asked 150 Polish learners of English to translate 105 English non-cognate words, cognates, and false-cognates into Polish, and to assess the confidence of each translation. Confidence ratings allows us to…
Descriptors: Bilingualism, Native Language, Second Language Learning, Language Acquisition
Stenlund, Tova; Eklöf, Hanna; Lyrén, Per-Erik – Assessment in Education: Principles, Policy & Practice, 2017
This study investigated whether different groups of test-takers vary in their reported test-taking behaviour in a high-stakes test situation. A between-group design (N = 1129) was used to examine whether high and low achievers, as well as females and males, differ in their use of test-taking strategies, and in level of reported test anxiety and…
Descriptors: High Stakes Tests, High Achievement, Low Achievement, Gender Differences
Walstad, William B.; Rebeck, Ken – Journal of Economic Education, 2017
The "Test of Financial Literacy" (TFL) was created to measure the financial knowledge of high school students. Its content is based on the standards and benchmarks stated in the "National Standards for Financial Literacy" (Council for Economic Education 2013). The test development process involved extensive item writing and…
Descriptors: Tests, Money Management, Literacy, High School Students
Guo, Hongwen; Rios, Joseph A.; Haberman, Shelby; Liu, Ou Lydia; Wang, Jing; Paek, Insu – Applied Measurement in Education, 2016
Unmotivated test takers using rapid guessing in item responses can affect validity studies and teacher and institution performance evaluation negatively, making it critical to identify these test takers. The authors propose a new nonparametric method for finding response-time thresholds for flagging item responses that result from rapid-guessing…
Descriptors: Guessing (Tests), Reaction Time, Nonparametric Statistics, Models
Rakkapao, Suttida; Prasitpong, Singha; Arayathanitkul, Kwan – Physical Review Physics Education Research, 2016
This study investigated the multiple-choice test of understanding of vectors (TUV), by applying item response theory (IRT). The difficulty, discriminatory, and guessing parameters of the TUV items were fit with the three-parameter logistic model of IRT, using the parscale program. The TUV ability is an ability parameter, here estimated assuming…
Descriptors: Item Response Theory, Multiple Choice Tests, Difficulty Level, Test Items
McQuillan, Jeff; Ediger, Warren – Reading Matrix: An International Online Journal, 2018
There is considerable evidence that incidental vocabulary acquisition through reading accounts for a large portion of the growth in word knowledge for both first (L1) and second (L2) language acquirers. In this paper, we evaluate the Markov Estimate of Semantic Association (MESA) technique for detecting small, incremental gains in vocabulary…
Descriptors: Markov Processes, Vocabulary Development, Incidental Learning, Native Language
Crosson, Amy C.; McKeown, Margaret G.; Ward, Arthur K., Jr. – Language Assessment Quarterly, 2019
The purpose of this research is to develop a vocabulary assessment, Evaluation of Academic Vocabulary or "EAV," that gauges students' depth of knowledge of academic words and is sensitive to vocabulary growth in the context of literacy interventions. We report results from two studies with native English-speaking middle school students…
Descriptors: Knowledge Level, Academic Language, Evaluation Methods, Literacy
Crosson, Amy C.; McKeown, Margaret G.; Ward, Arthur K., Jr. – Grantee Submission, 2019
The purpose of this research is to develop a vocabulary assessment, Evaluation of Academic Vocabulary or "EAV," that gauges students' depth of knowledge of academic words and is sensitive to vocabulary growth in the context of literacy interventions. We report results from two studies with native English-speaking middle school students…
Descriptors: Knowledge Level, Academic Language, Evaluation Methods, Literacy
Sewell, David K.; Lilburn, Simon D.; Smith, Philip L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
A central question in working memory research concerns the degree to which information in working memory is accessible to other cognitive processes (e.g., decision-making). Theories assuming that the focus of attention can only store a single object at a time require the focus to orient to a target representation before further processing can…
Descriptors: Short Term Memory, Visual Perception, Attention, Reaction Time
Falk, Carl F.; Cai, Li – Journal of Educational Measurement, 2016
We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood-based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…
Descriptors: Item Response Theory, Guessing (Tests), Mathematics Tests, Simulation
Socha, Alan; DeMars, Christine E. – Applied Psychological Measurement, 2013
The software program DIMTEST can be used to assess the unidimensionality of item scores. The software allows the user to specify a guessing parameter. Using simulated data, the effects of guessing parameter specification for use with the ATFIND procedure for empirically deriving the Assessment Subtest (AT; that is, a subtest composed of items that…
Descriptors: Item Response Theory, Computer Software, Guessing (Tests), Simulation
Han, Kyung T.; Wells, Craig S.; Hambleton, Ronald K. – Practical Assessment, Research & Evaluation, 2015
In item response theory test scaling/equating with the three-parameter model, the scaling coefficients A and B have no impact on the c-parameter estimates of the test items since the cparameter estimates are not adjusted in the scaling/equating procedure. The main research question in this study concerned how serious the consequences would be if…
Descriptors: Item Response Theory, Monte Carlo Methods, Scaling, Test Items
Soland, Jim; Jensen, Nate – NWEA, 2017
Metadata that are often captured and discarded when students take achievement tests on a computer can transform processes for identifying, monitoring, and supporting students who might benefit from social-emotional learning (SEL) interventions. This submission presents a metric called response-time effort (RTE) that relies on such metadata. The…
Descriptors: Social Development, Emotional Development, Reaction Time, Guessing (Tests)