Results 271 to 280 of about 263,174 (307)

Score tests for zero-inflation and overdispersion in two-level count data

Computational Statistics & Data Analysis, 2013
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Lim, Hwa Kyung, Song, Juwon, Jung, Byoung Cheol   +2 more
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Score Tests for Extra-Zero Models in Zero-Inflated Negative Binomial Models

Communications in Statistics - Simulation and Computation, 2008
When overdispersion is present in count data, a negative binomial (NB) model is commonly used in place of the standard Poisson model. However, the model is sometimes not adequate because of the occurrence of excess zeros and a zero-inflated negative binomial (ZNB) model may be more appropriate.
N. Jansakul, John P. Hinde
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Score tests for heterogeneity and overdispersion in zero‐inflated Poisson and binomial regression models

Canadian Journal of Statistics, 2002
AbstractHall (2000) has described zero‐inflated Poisson and binomial regression models that include random effects to account for excess zeros and additional sources of heterogeneity in the data. The authors of the present paper propose a general score test for the null hypothesis that variance components associated with these random effects are zero ...
Hall, Daniel B., Berenhaut, Kenneth S.
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Inflated Test Score Gains: Is the Problem Old Norms or Teaching the Test?

Educational Measurement: Issues and Practice, 1990
What explanations have been provided for spurious test score gains? Are states and districts narrowing the curriculum and teaching the test? What effect does teaching the test have on the norms themselves? What alternatives must be sought to protect the integrity of instruction and the validity of scores?
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Improvement in National Test arithmetic scores at Key Stage 1: Grade inflation or better achievement?

British Educational Research Journal, 2008
The aim of the National Numeracy Strategy is to raise standards in numeracy. Strong evidence for its success has, however, been lacking: most of the available data come from performance on National Test assessments administered in schools or from Ofsted reports, and is vulnerable to suggestions of bias.
Meadows, S.A.C, Herrick, D.R.M, Witt, M.N, the ALSPAC Study, Team   +3 more
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sj-pdf-1-smm-10.1177_0962280220937324 - Supplemental material for A robust score test of homogeneity for zero-inflated count data

2020
Supplemental material, sj-pdf-1-smm-10.1177_0962280220937324 for A robust score test of homogeneity for zero-inflated count data by Wei-Wen Hsu, David Todem, Nadeesha R Mawella, KyungMann Kim and Richard R Rosenkranz in Statistical Methods in Medical ...
Hsu, Wei-Wen, Todem, David, Nadeesha R Mawella, KyungMann Kim, Rosenkranz, Richard R   +4 more
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It's a Myth: High Stakes Causes Test Score Inflation (Presentation Slides)

SSRN Electronic Journal, 2017
The myth is popular among education insiders who oppose high-stakes or externally mandated tests, but is based on just two studies conducted without controls that employed an obscure definition of “high stakes”. Both studies actually involved low-stakes tests administered without security protocols.
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Outlier removal, sum scores, and the inflation of the type I error rate in independent samples t tests: The power of alternatives and recommendations.

Psychological Methods, 2014
In psychology, outliers are often excluded before running an independent samples t test, and data are often nonnormal because of the use of sum scores based on tests and questionnaires. This article concerns the handling of outliers in the context of independent samples t tests applied to nonnormal sum scores.
Marjan Bakker, Jelte M. Wicherts
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Effectiveness of non-selective evaluation test scores for predicting first-year performance in university career: a zero-inflated beta regression approach

Quality & Quantity, 2016
The background preparation of students entering the university system is checked through evaluation tests in Italy. The test is non-selective in most degree programmes, as it does not preclude the possibility of enrolling in the student’s chosen program.
MASSERINI, LUCIO, Bini, Matilde, PRATESI, MONICA   +2 more
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Score Tests for Overdispersion in Marginalized Zero‐Inflated Poisson Regression Based on Marginalized Zero‐Inflated Generalized Poisson Model

Statistical Analysis and Data Mining: An ASA Data Science Journal
ABSTRACTA marginalized zero‐inflated Poisson (MZIP) model has been developed to allow practitioners to make direct inferences about the marginal mean of count data while accounting for the excess zeros in the data. Overdispersion is a well‐documented issue in models that include the Poisson distribution, such as the traditional zero‐inflated Poisson ...
Yuhe Wang, Yuecai Han
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