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Scott, Marc A.; Diakow, Ronli; Hill, Jennifer L.; Middleton, Joel A. – Grantee Submission, 2018
We are concerned with the unbiased estimation of a treatment effect in the context of non-experimental studies with grouped or multilevel data. When analyzing such data with this goal, practitioners typically include as many predictors (controls) as possible, in an attempt to satisfy ignorability of the treatment assignment. In the multilevel…
Descriptors: Statistical Bias, Computation, Comparative Analysis, Hierarchical Linear Modeling
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Ramsay, James O.; Wiberg, Marie – Journal of Educational and Behavioral Statistics, 2017
This article promotes the use of modern test theory in testing situations where sum scores for binary responses are now used. It directly compares the efficiencies and biases of classical and modern test analyses and finds an improvement in the root mean squared error of ability estimates of about 5% for two designed multiple-choice tests and…
Descriptors: Scoring, Test Theory, Computation, Maximum Likelihood Statistics
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Pokropek, Artur – Journal of Educational and Behavioral Statistics, 2016
A response model that is able to detect guessing behaviors and produce unbiased estimates in low-stake conditions using timing information is proposed. The model is a special case of the grade of membership model in which responses are modeled as partial members of a class that is affected by motivation and a class that responds only according to…
Descriptors: Reaction Time, Models, Guessing (Tests), Computation
Basic Skills Agency, London (England). – 1997
An international numeracy scale compared how well adults in seven countries--the United Kingdom, France, Netherlands, Sweden, Japan, Australia, and Denmark--handled some basic tasks involving numbers. The questionnaire comprised a set of 12 numeracy tasks that respondents were asked to complete using pen and paper. Within each country, the…
Descriptors: Adult Basic Education, Adult Literacy, Arithmetic, Basic Skills