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Articles 1 - 7 of 7
Full-Text Articles in Quantitative Psychology
The Use Of Complex-Structure Items In Multistage Testing, Paulius Satkus
The Use Of Complex-Structure Items In Multistage Testing, Paulius Satkus
Dissertations, 2020-current
When developing tests, measurement experts may prefer simple-structure items because they measure one trait, which simplifies scoring and scoring interpretation. Conversely, complex-structure items may be preferred to reflect the complexity of multidimensional constructs. The current study sought to address the gap in the literature of multi-stage testing by conducting a simulation study with a hypothetical two-stage adaptive test with a purpose of comparing the performance of simple and complex structure items. The findings suggest that with a longer test (60 items), the two types of items performed similarly with respect to bias and RMSE of the trait estimates. For the …
Creating A Short, Public-Domain Version Of The Cpai-2: Using An Algorithmic Approach To Develop Public-Domain Measures Of Indigenous Personality Traits, Mukhunth Raghavan
Creating A Short, Public-Domain Version Of The Cpai-2: Using An Algorithmic Approach To Develop Public-Domain Measures Of Indigenous Personality Traits, Mukhunth Raghavan
USF Tampa Graduate Theses and Dissertations
In this study we aimed to create a short, public-domain analogue of the Cross-Cultural (Chinese) Personality Assessment Inventory (CPAI-2; F. M. Cheung et al., 1996). Emic (culture-specific) traits measured by the CPAI-2 are purportedly specific to the Chinese culture and argued to not be fully captured by the consensus Big Five personality trait taxonomy. Research suggests that CPAI-2 traits may have unique predictive power, especially in non-Western contexts. However, research has been hampered by several limitations of the measure. The inventory is proprietary and long, with 341 items forming 28 scales and four factors. Cross-cultural personality research would benefit from …
Can Ratings Of Item Location Enhance Statistical Item Parameter Estimation? Extending The Feasibility Of Unfolding Irt Models, Michael Mckenna
Can Ratings Of Item Location Enhance Statistical Item Parameter Estimation? Extending The Feasibility Of Unfolding Irt Models, Michael Mckenna
Dissertations
Research and development of modern psychometric methods such as item response theory have drastically changed the way we understand and carry out the measurement of psychological constructs. Despite this, there has been relatively little adoption by psychological researchers to incorporate these methods into their research. While multiple explanations are surely valid, one oft stated reason is the large sample size requirements of these methods. The sample size requirements of item response theory are needed so that effective estimation of item parameters can be carried out. In an attempt to make these modern measurement methods more accessible and feasible to psychological …
Assessing The Ordinality Of Response Bias With Item Response Models: A Case Study Using The Phq-9, Venessa N. Singhroy
Assessing The Ordinality Of Response Bias With Item Response Models: A Case Study Using The Phq-9, Venessa N. Singhroy
Dissertations, Theses, and Capstone Projects
Improper scale usage in psychological and clinical assessment is an important problem. If respondents do not use the scales in a consistent manner, the reliability of a composite is likely to be attenuated. This is particularly problematic when particular items are singled out for special treatment or when subscales are of interest, not just a total score. This study used both non-parametric and parametric item response theory (IRT) methods to gain further insight into the validity of the PHQ-9, a dual purpose instrument that assesses the severity of depressive symptoms using nine Likert-scale items and allows the investigator to establish …
Application Of Item Response Theory To Measures Of Verbal Learning, Indrani K. Thiruselvam
Application Of Item Response Theory To Measures Of Verbal Learning, Indrani K. Thiruselvam
Dissertations (1934 -)
This study utilized item response theory (IRT) methods to investigate if item parameters of select trials in the California Verbal Learning Test-Second Edition (CVLT-II; Delis, Kramer, Kaplan, & Ober, 2000) and the Logical Memory subtests of the Wechsler Memory Scales – Fourth Edition (WMS-IV; Wechsler, 2009) vary as a function of the serial position effect. In addition, this study compared the effectiveness of CVLT-II and LM in quantifying verbal memory functioning, and determined if a weighted scoring approach improves the quantification of verbal memory. Archival data from 755 individuals (516 college students, 239 patients at a neuropsychology clinic) were utilized …
Extending An Irt Mixture Model To Detect Random Responders On Non-Cognitive Polytomously Scored Assessments, Mandalyn R. Swanson
Extending An Irt Mixture Model To Detect Random Responders On Non-Cognitive Polytomously Scored Assessments, Mandalyn R. Swanson
Dissertations, 2014-2019
This study represents an attempt to distinguish two classes of examinees – random responders and valid responders – on non-cognitive assessments in low-stakes testing. The majority of existing literature regarding the detection of random responders in low-stakes settings exists in regard to cognitive tests that are dichotomously scored. However, evidence suggests that random responding occurs on non-cognitive assessments, and as with cognitive measures, the data derived from such measures are used to inform practice. Thus, a threat to test score validity exists if examinees’ response selections do not accurately reflect their underlying level on the construct being assessed. As with …
Examining The Performance Of The Metropolis-Hastings Robbins-Monro Algorithm In The Estimation Of Multilevel Multidimensional Irt Models, Bozhidar M. Bashkov
Examining The Performance Of The Metropolis-Hastings Robbins-Monro Algorithm In The Estimation Of Multilevel Multidimensional Irt Models, Bozhidar M. Bashkov
Dissertations, 2014-2019
The purpose of this study was to review the challenges that exist in the estimation of complex (multidimensional) models applied to complex (multilevel) data and to examine the performance of the recently developed Metropolis-Hastings Robbins-Monro (MH-RM) algorithm (Cai, 2010a, 2010b), designed to overcome these challenges and implemented in both commercial and open-source software programs. Unlike other methods, which either rely on high-dimensional numerical integration or approximation of the entire multidimensional response surface, MH-RM makes use of Fisher’s Identity to employ stochastic imputation (i.e., data augmentation) via the Metropolis-Hastings sampler and then apply the stochastic approximation method of Robbins and Monro …