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Trent, Katherine; South, Scott J. – Journal of Marriage and Family, 2012
Data from the 1999-2000 Chinese Health and Family Life Survey were merged with community-level data from the 1982, 1990, and 2000 Chinese censuses to examine the relationship between the local sex ratio (number of men per 100 women) and sexual outcomes among women (N = 1,369). Consistent with hypotheses derived from demographic-opportunity theory,…
Descriptors: Family Life, Foreign Countries, Geographic Location, Sexuality
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Paez, Gabriel R. – Journal of School Violence, 2018
Cyber bullying has become more pervasive as a result of advances in communication technology such as email, text messaging, chat rooms, and social media sites. Despite the growth in research on correlates associated with engagement in cyber bullying, few studies test the applicability of criminological theories to explain engagement in cyber…
Descriptors: Bullying, Computer Mediated Communication, Adolescents, Social Influences
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Holster, Trevor A.; Lake, J. – Language Assessment Quarterly, 2016
Stewart questioned Beglar's use of Rasch analysis of the Vocabulary Size Test (VST) and advocated the use of 3-parameter logistic item response theory (3PLIRT) on the basis that it models a non-zero lower asymptote for items, often called a "guessing" parameter. In support of this theory, Stewart presented fit statistics derived from…
Descriptors: Guessing (Tests), Item Response Theory, Vocabulary, Language Tests
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Feuerstahler, Leah; Wilson, Mark – Journal of Educational Measurement, 2019
Scores estimated from multidimensional item response theory (IRT) models are not necessarily comparable across dimensions. In this article, the concept of aligned dimensions is formalized in the context of Rasch models, and two methods are described--delta dimensional alignment (DDA) and logistic regression alignment (LRA)--to transform estimated…
Descriptors: Item Response Theory, Models, Scores, Comparative Analysis
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Taggart, Amanda; Paschal, Jaimi – Journal of Latinos and Education, 2019
This study examined the influence of equitable treatment on Latina/o students' college aspirations. Logistic regression was used to identify variables associated with Latina/o high school students' aspirations to attend college within the context of theory concerning the college search, choice, and enrollment processes. Data were drawn from a…
Descriptors: Equal Education, High School Students, College Bound Students, Hispanic American Students
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Boyd, Aimee M.; Dodd, Barbara; Fitzpatrick, Steven – Applied Measurement in Education, 2013
This study compared several exposure control procedures for CAT systems based on the three-parameter logistic testlet response theory model (Wang, Bradlow, & Wainer, 2002) and Masters' (1982) partial credit model when applied to a pool consisting entirely of testlets. The exposure control procedures studied were the modified within 0.10 logits…
Descriptors: Computer Assisted Testing, Item Response Theory, Test Construction, Models
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Deng, Weiling; Monfils, Lora – ETS Research Report Series, 2017
Using simulated data, this study examined the impact of different levels of stringency of the valid case inclusion criterion on item response theory (IRT)-based true score equating over 5 years in the context of K-12 assessment when growth in student achievement is expected. Findings indicate that the use of the most stringent inclusion criterion…
Descriptors: Item Response Theory, Equated Scores, True Scores, Educational Assessment
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Matlock, Ki Lynn; Turner, Ronna – Educational and Psychological Measurement, 2016
When constructing multiple test forms, the number of items and the total test difficulty are often equivalent. Not all test developers match the number of items and/or average item difficulty within subcontent areas. In this simulation study, six test forms were constructed having an equal number of items and average item difficulty overall.…
Descriptors: Item Response Theory, Computation, Test Items, Difficulty Level
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Luo, Yong; Jiao, Hong – Educational and Psychological Measurement, 2018
Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the…
Descriptors: Bayesian Statistics, Item Response Theory, Probability, Computer Software
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Ames, Allison J.; Au, Chi Hang – Measurement: Interdisciplinary Research and Perspectives, 2018
Stan is a flexible probabilistic programming language providing full Bayesian inference through Hamiltonian Monte Carlo algorithms. The benefits of Hamiltonian Monte Carlo include improved efficiency and faster inference, when compared to other MCMC software implementations. Users can interface with Stan through a variety of computing…
Descriptors: Item Response Theory, Computer Software Evaluation, Computer Software, Programming Languages
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MacLeod, Kenneth R.; Swart, William W.; Paul, Ravi C. – Decision Sciences Journal of Innovative Education, 2019
This article applies Deming's Plan-Do-Study-Act (PDSA) cycle of continual improvement to a course taught with both blended and online sections. It uses Relative Proximity Theory, an extension of the Theory of Transactional Distance, to measure the quality of online/blended learning as a function of the obstacles to a student's full engagement with…
Descriptors: Blended Learning, Proximity, Educational Improvement, Educational Quality
Falk, Carl F.; Cai, Li – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2015
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: Guessing (Tests), Item Response Theory, Mathematics Instruction, Mathematics Tests
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Sung, Pei-Ju; Lin, Su-Wei; Hung, Pi-Hsia – Universal Journal of Educational Research, 2015
Task difficulty is a critical issue affecting test developers. Controlling or balancing the item difficulty of an assessment improves its validity and discrimination. Test developers construct tests from the cognitive perspective, by making the test constructing process more scientific and efficient; thus, the scores obtained more precisely…
Descriptors: Foreign Countries, Listening, Listening Comprehension, Listening Comprehension Tests
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Davidson, J. Cody – Journal of College Student Retention: Research, Theory & Practice, 2016
Mathematics is the most common subject area of remedial need and the majority of remedial math students never pass a college-level credit-bearing math class. The majorities of studies that investigate this phenomenon are conducted at community colleges and use some type of regression model; however, none have used a continuation ratio model. The…
Descriptors: Regression (Statistics), Remedial Mathematics, Academic Persistence, Remedial Instruction
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Hula, William D.; Kellough, Stacey; Fergadiotis, Gerasimos – Journal of Speech, Language, and Hearing Research, 2015
Purpose: The purpose of this study was to develop a computerized adaptive test (CAT) version of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996), to reduce test length while maximizing measurement precision. This article is a direct extension of a companion article (Fergadiotis, Kellough, & Hula, 2015),…
Descriptors: Computer Assisted Testing, Adaptive Testing, Naming, Test Construction
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