|Improving Self-Efficacy in Problem Solving: Learning from Errors and Feedback
||This study examined the social cognitive theoretical prediction that self-efficacy is enhanced by feedback that fosters problem solving skills. The anxiety addressed in this study was similar to low efficacy perceptions in solving statistics problems...
|Use of a Variable Compensation Item Response Model to Assess the Effect of Working-Memory Load On Noncompensatory Processing in an Inductive Reasoning Task
||"A study of the relationship between noncompensatory processing and the working memory load of matrix completion items was conducted. Data were taken from the British Cohort Study of 1970, First Follow-up (N=14,875). To assess compensation, the GMIRT...
| Examination of the scoring structure of the psychopathology instrument for mentally retarded adults
||"The purpose of this study was to assess the validity of an instrument designed to assist in the diagnosis of mental illness in individuals diagnosed with mental retardation titled "The Psychopathology Inventory for Mentally Retarded Adults (PIMRA)."...
|Detecting differential item functioning using the DINA model
||"DIF occurs for an item when one group (the focal group) of examinees is more or less likely to give the correct response to that item when compared to another group (the reference group) after controlling for the primary ability measured in a test. ...
|Higher education planning for a strategic goal with a concept mapping process at a small private college
||Faculty, staff, and administrators at a small independent college determined that planning with a Concept Mapping process efficiently produced strategic thinking and action plans for the accomplishment of a strategic goal to expand experiential learn...
|A psychometric evaluation of a state testing program: accommodated versus non-accommodated students.
||Federal legislation such as No Child Left Behind mandated that students with disabilities be included in accountability standards, creating an important responsibility to fairly assess all students, even those with disabilities. Consequently, ...
|Differential language influence on math achievement
||New models are commonly designed to solve certain limitations of other ones. Quantile regression is introduced in this paper because it can provide information that a regular mean regression misses. This research aims to demonstrate its utility in th...
|A comparison of classification issues across teacher effectiveness measures
||In an educational landscape where teacher evaluation methods are increasingly discussed and scrutinized in research offices, legislatures, and school buildings, the differences in policy and instrumentation among states and school districts can paint...
|Comparisons of subscoring methods in computerized adaptive testing: a simulation study
||Given the increasing demands of subscore reports, various subscoring methods and augmentation techniques have been developed aiming to improve the subscore estimates, but few studies have been conducted to systematically compare these methods under t...
|Defining culturally relevant pedagogy: an exploration of the usefulness of concept mapping and assessment engineering for rubric development
||Ethically diverse students consistently perform at lower levels compared to their mainstream counterparts (Rychly & Graves, 2012). Some scholars suggest that this educational deficit is due to the cultural mismatch between educators and students. Cul...
|A psychometric evaluation of the student teacher assessment system at UNCG using structural equation modeling
||Student teachers are evaluated based on a number of criteria at the University of North Carolina at Greensboro (UNCG). Among these criteria are the evidence portfolios, the Candidate Disposition Assessment Process (CDAP), and the Teacher Growth and A...
|A comparison of traditional test blueprinting to assessment engineering in a large scale assessment context
||This dissertation investigates the plausibility of computing Assessment Engineering cognitive task model derived difficulty parameters through careful engineering design, and to compare the task model derived difficulty with empirical Rasch model ‘b’...