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Andrew Gelman; Daniel Lee; Jiqiang Guo – Journal of Educational and Behavioral Statistics, 2015
Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and has great promise for fitting large and complex statistical models in many areas of application. We discuss Stan from users' and developers'…
Descriptors: Programming Languages, Bayesian Statistics, Inferences, Monte Carlo Methods
Moore, Joann L.; Cruce, Ty – ACT, Inc., 2017
Recent research suggests that the use of student search services is an effective part of a college's student marketing and recruitment strategy. What is not clear, however, is whether participating in a search service is an effective part of a student's college search strategy. To address this question, we exploit a recent change in the choice…
Descriptors: College Students, Marketing, Student Recruitment, Decision Making
Lo, Yun-Jia – ProQuest LLC, 2012
In educational research, a randomized controlled trial is the best design to eliminate potential selection bias in a sample to support valid causal inferences, but it is not always possible in educational research because of financial, ethical, and logistical constrains. One alternative solution is use of the propensity score (PS) methods.…
Descriptors: Educational Research, Probability, Scores, Research Methodology
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Pogodzinski, Ben; Youngs, Peter; Frank, Kenneth A.; Belman, Dale – Elementary School Journal, 2012
Using survey data from novice teachers at the elementary and middle school level across 11 districts, multilevel logistic regressions were estimated to examine the association between novices' perceptions of the administrative climate and their desire to remain teaching within their schools. We find that the probability that a novice teacher…
Descriptors: Probability, Beginning Teachers, Job Satisfaction, Surveys
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Culpepper, Steven Andrew – Psychometrika, 2012
The study of prediction bias is important and the last five decades include research studies that examined whether test scores differentially predict academic or employment performance. Previous studies used ordinary least squares (OLS) to assess whether groups differ in intercepts and slopes. This study shows that OLS yields inaccurate inferences…
Descriptors: Academic Achievement, Prediction, Measurement, Least Squares Statistics
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Connelly, Brian S.; Sackett, Paul R.; Waters, Shonna D. – Personnel Psychology, 2013
Organizational and applied sciences have long struggled with improving causal inference in quasi-experiments. We introduce organizational researchers to propensity scoring, a statistical technique that has become popular in other applied sciences as a means for improving internal validity. Propensity scoring statistically models how individuals in…
Descriptors: Quasiexperimental Design, Control Groups, Inferences, Research Methodology
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Hogarth, Robin M.; Soyer, Emre – Journal of Experimental Psychology: General, 2011
Recently, researchers have investigated differences in decision making based on description and experience. We address the issue of when experience-based judgments of probability are more accurate than are those based on description. If description is well understood ("transparent") and experience is misleading ("wicked"), it…
Descriptors: Foreign Countries, Graduate Students, College Students, Adults
Papay, John P.; Willett, John B.; Murnane, Richard J. – National Bureau of Economic Research, 2011
We ask whether failing one or more of the state-mandated high-school exit examinations affects whether students graduate from high school. Using a new multi-dimensional regression-discontinuity approach, we examine simultaneously scores on mathematics and English language arts tests. Barely passing both examinations, as opposed to failing them,…
Descriptors: Test Use, Exit Examinations, Scoring, Probability
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Fan, Xitao; Nowell, Dana L. – Gifted Child Quarterly, 2011
This methodological brief introduces the readers to the propensity score matching method, which can be used for enhancing the validity of causal inferences in research situations involving nonexperimental design or observational research, or in situations where the benefits of an experimental design are not fully realized because of reasons beyond…
Descriptors: Research Design, Educational Research, Statistical Analysis, Inferences
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Asbjornsen, Arve E.; Jones, Lise O.; Munkvold, Linda H.; Obrzut, John E.; Manger, Terje – Journal of Attention Disorders, 2010
Objective: The present study was designed to test some assumptions about screening procedures for ADHD in adults. Method: Twenty-eight incarcerated male adults completed a self report scale of attention deficits as a part of an examination of attention and reading skills. Further assessment of attention included a battery of tests that assessed…
Descriptors: Measures (Individuals), Regression (Statistics), Foreign Countries, Objective Tests
Nichols, Austin; Favreault, Melissa – Urban Institute (NJ1), 2009
Using data from the Health and Retirement Study (HRS), the authors consider how parental education relates to four separate outcomes in the children's generation: education, lifetime earnings, health and (financial) wealth. They relate parents' educational ranks to children's ranks on these four outcomes. By focusing on ranks, they are able to see…
Descriptors: Human Capital, Retirement, Outcomes of Education, Children
National Council of Teachers of Mathematics, 2006
The 2006 NCTM Sixty-eighth Yearbook focuses on students' and teachers' learning in statistics centered on a set of activities. Topics include the relation between mathematics and statistics, the development and enrichment of mathematical concepts through the use of statistics, and a discussion of the research related to teaching and learning…
Descriptors: Yearbooks, Probability, Inferences, Educational Technology